Skip to main content
Heritage Science
Download PDF

Comparison of trace element chemistry in human bones interred in two private chapels attached to Franciscan friaries in Italy and Denmark: an investigation of social stratification in two medieval and post-medieval societies

Heritage Science volume 8, Article number: 65 (2020) Cite this article

Abstract

Individuals buried in two 17th–18th Century private chapels, each attached to a Franciscan Friary—one in Italy the other in Denmark—have been studied and sampled for trace element analysis. This selection of individuals allows a comparison of the trace element inventory of members of noble families against friars and townspeople, as well as a comparison between two very similar situations in Denmark and Italy. The relevance of this study is to see if and how differences in social status, and therefore likely differences in dietary habits, are reflected in the trace element chemistry of the bones. Samples of cortical and trabecular tissues have been procured from a long bone, preferentially the femur. The samples have been thoroughly decontaminated. 87 samples from 69 individuals have been analysed for Ca, Mn, Fe, Cu, Sr, Ba, and Pb by ICP-MS and Hg by CV-AAS. Sex and age at death have been established by anthropological analysis for all members of the two noble families. We find systematic differences between the noble family members and the friars (or townspeople) in both Italy and Denmark. The noble families are in both cases low in Sr and Ba compared to the friars and townspeople, which is interpreted as a dietary signal resulting from higher meat consumption than in the comparative groups. Lead concentrations are found to be higher in the noble family members than in the comparative groups, and the Pb concentration seems to increase with age in the Italian noble family, where both young and middle-aged individuals were investigated. Mercury concentrations are higher in some of the Italian noble family members compared to friars and townspeople; whereas in Denmark it seems that Hg was equally available to the noble family members and the friars alike. This is the first comprehensive and comparative study of post-medieval noble families in Denmark and Italy. The results show that there are distinct similarities in the trace element distribution patterns in the noble family members irrespective of country, which is tentatively suggested to be due to their higher social status.

Introduction

The present investigation presents a comparison of individuals with higher social rank to those of lower social rank, giving for the first time a description of the possible dietary and environmental differences of the socially stratified medieval and post-medieval societies in Denmark and Italy, as well as a comparative study between Denmark and Italy. The strength of the present study lies in the selection of individuals, which contains a constellation with a suite of individuals from two noble families buried in two private chapels—one in Montella Italy [1, 2] the other in Svendborg Denmark [3, 4]—where the trace element concentrations Sr, Ba, Cu, and Pb are compared with data from individuals of presumably lower social status buried less than tens of meters away, in the cloister walks of the two friaries.

Strontium and barium

Strontium and Ba are two non-essential elements mainly ingested through food and water. They are not homeostatically regulated [5]. Both elements are absorbed from the gastrointestinal track, enters the bloodstream, and are excreted in various proportions. Most of the absorbed Sr and Ba are eventually deposited in bones and teeth.

The use of Sr and Ba as dietary indicators has a long history in archaeometry, which started out in a very positive mode [6,7,8,9,10,11]. The theoretical background supporting this use is related to the decrease of the Sr/Ca and Ba/Ca ratios through each step of the trophic chain by the biopurification of Ca [12, 13]. The decrease was found to be constant through the trophic chain and it was therefore able to explain the correlation between this pair of ratios along the “Ca biopurification line” [14]. Later, the concept of using Sr and Ba concentrations for dietary reconstruction studies was dismantled [15,16,17], and the focus was shifted almost entirely to stable isotope ratios using C and N isotopes for reconstructing diet, and Sr-isotopes for provenancing human bones (e.g. [18] and references therein). The reasons for discrediting the use of elemental concentrations of Sr and Ba in the 1990s were two-fold. The first was the realization that there did not exist a linear translation from the Sr-concentration in foodstuff to the Sr-concentration in human bones [19]. The second was the realization that diagenesis could affect the Sr and Ba concentrations [16, 20,21,22,23,24,25,26]. Lately, it has been argued that even though Sr is classified as a non-essential element, its distribution in the human body could be tied to elements regulated by metabolic processes such as Zn. Thus, Sr measurements could somehow be misinterpreted because of “homeostatic overprinting” [27].

However, in recent years studies of the elemental concentrations of Sr and Ba have been taken up again [28,29,30,31,32]. Despite of the concerns for diagenesis, the use of an analytical strategy including a thoughtful sampling plan, intra-site comparisons and meticulous observations of the distribution of the elements can sometimes overcome the diagenetic issue, if it is present at the site investigated. It has become clear that not only stable isotope ratios of e.g. Sr, C, N, and S, but also elemental concentrations of Sr and Ba can provide information about the diet and therefore possibly the provenance of people in the past.

Even in cases where there are no diagenetic alterations, the 1995 conclusion of Burton and Wright [19] still stands, in the sense that the Sr-concentration in human bones cannot be used as a 1:1 measure of the diet, e.g. mapping directly the consumption of animal meat. A large consumption of meat will indeed result in a lower Sr-concentration in the bones, but the picture can be much more complicated than a linear relationship. One factor affecting the Sr and Ba concentrations is the biopurification against Ca, i.e. that any bone or shell bearing organism including the human body will suppress the Sr and Ba concentrations over the Ca concentration. An addition of for instance shellfish to the diet will lead to increased Sr and Ba concentrations, whereas a diet rich in freshwater fish will lower the Sr and Ba concentrations (see Fig. 8 in [32]).

It remains standing today that Sr and Ba can be viewed as provenance indicators due to differences in bioavailability as a function of geographical area or equally possible: changes in diet of the individual. Some geographical areas, although certainly not globally, have been mapped for the concentrations of present-day bioavailability of Sr and Ba (e.g. for modern day Denmark, see Fig. 3e in [33]). How the present-day bioavailability map translate to medieval bioavailability is more uncertain. Bioavailable Sr and Ba enter the human body through drinking water and derivatives thereof, such as beer and cooked food, and through locally grown vegetables, when these are watered with the local water and can in this way be perceived as provenance indicators. The alternative possibility—that differences in concentrations of Sr and Ba are reflecting changes in the diet of an individual—is also a viable interpretation and indistinguishable from the provenance interpretation [32].

Mercury

Mercury is a non-essential and toxic heavy metal. It can be found in the environment in the elemental form, as well as in inorganic and organic compounds, the latter mainly originating from biomethylating processes. All three forms can enter in the human body through different pathways and have different solubilities, reactivities, and toxicity properties [34]. Elemental and inorganic Hg primarily accumulate in the kidneys before it is eventually distributed in the body via the bloodstream and from here enters several organs such as the central nervous system and the brain. The organic form enters the liver, the blood cells, the bone marrow, the central nervous system, the brain, and the respiratory mucosa. Organic mercury may be metabolized in the liver before being excreted through bile and reabsorbed in the gastrointestinal pathway [35]. Regardless of the route of the Hg exposure, intoxication can lead to severe health issues such as systemic, immunologic, neurologic, carcinogenic, or reproductive effects [36].

In medieval and renaissance times mercury was mined as HgS-ore (cinnabar) from at least one mine—the mine situated at Almaden Spain [37]. Cinnabar was a rare commodity which were transported vast distances by trade routes. Mercury had an extremely low environmental occurrence in most medieval societies in both Denmark and Italy [2, 32]. Even so, Hg has been found in high concentrations in medieval and post-medieval human individuals in several studies [2, 32, 38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56]. Some individuals were only exposed to the environmental Hg background, which has been estimated to correspond to 80 ng g−1 in cortical and 300 ng g−1 in trabecular bone tissue in Danish and German medieval and post-medieval skeletons [46]. For the individuals exhibiting Hg concentrations higher than the background level, there can be one of only a few possible causes: (1) intake, preparation, or administration of Hg-containing medicine; (2) reading or writing texts written with ink containing the red colour pigment cinnabar (HgS) including working in the scriptorium with the preparation of the red ink; (3) partaking in a gilding process that uses amalgamation with Au and Hg; (4) working in Hg mines. The two latter processes must be relatively rare compared to the two former exposure ways, at least in medieval and post-medieval Denmark and Campania. It has been shown that Hg was used in medieval and post-medieval times as a cure for both leprosy and treponema infections [43, 46, 57]. Therefore, if the Hg concentration in an individual is found to be at or below the environmental background level, this excludes that this individual received medication containing Hg or partook in any of the above-mentioned processes in the last appreciable time before death. In one instance, the case of San Francesco Caracciolo now resting in the Cathedral in Naples, it has been shown that a medication with Hg could be detected in cortical tissue 22 years after the medication took place [57]. It is highly unlikely that Hg in measurable amounts could originate from the diet in either location of the present study.

Diagenetic deposition of Hg in human bones originating from the surrounding soil has not been observed in the many studies focusing on Hg measurements in human bones (see [51] and references therein). A likely explanation is that the environmental exposure is generally very low, and that sulphur containing compounds are abundantly present during the decay process of the body, which reacts with Hg to form the very stable and insoluble HgS [46].

Lead

Lead is a toxic heavy metal and a non-essential trace element in the human body. Lead absorption mainly occurs through ingestion and inhalation before entering the blood stream. The Pb subsequently enters the soft tissues and the bones, followed by an excretion through the kidneys and the urine. In the human body 90–95% of the Pb burden is located in the bones. The incorporation usually occurs by divalent Pb2+ substituting for Ca2+ in the hydroxyapatite during the bone modelling or remodelling processes [58]. In vitro studies have shown that Pb can be fixed in hydroxyapatite via several pathways such as ionic exchange, surface complexation, and dissolution–precipitation [59, 60]. Acute Pb exposure can have severe consequences including chronic diseases in nervous, skeletal, renal, and endocrine systems [61].

The use of Pb as a biomarker in archaeology has been rising in the last decades since the relationship between the Pb concentration in bones and Pb concentration in blood have been established [62, 63]. It has been successfully used on human and animal bones as a marker for detecting environmental pollution linked to urbanization and metal industry in past societies [46, 64,65,66,67,68], but also for drawing inferences about social status in populations where the use of Pb can be seen as a discriminating social factor [32, 39, 46, 69,70,71].

Recent archaeological studies show some concern about the possibility of diagenetic alteration of the Pb signal in bones coming from the surrounding sediment [23, 72] or from anthropogenic soil pollution [73, 74]. Since Pb can substitute for Ca in the hydroxyapatite, it has been suggested that diagenetic Pb could enter the bones according to a similar pathway as what has been seen in in vitro experiments, i.e. that cations in solution enter the pores of the bone and then recombine with hydroxyapatite during a recrystallisation process or via ionic exchange [13, 72]. Lead salts are usually quite insoluble under alkaline conditions, while their solubility can increase drastically in highly acidic environment [75]. However, acidic conditions are never present in cemetery soil environments with well-preserved bones, like the bones in the present study.

Copper

Copper is an essential trace element involved in several metabolic processes in the human body, including the functioning of the immune system [76,77,78,79,80,81]. Copper absorption originating from the diet mainly occurs through the small intestine, while the liver plays a role in the regulation of the Cu load through excretion, which happens via the bile entering the gastrointestinal tract in a form that prevents reabsorption. The absorption and excretion of Cu normally vary according to dietary intake to maintain a desired level in the body [76, 77, 80, 82]. From the perspective of the skeleton, Cu deficiency has been linked to osteoporosis, decreased bone strength, and femoral head necrosis [83, 84].

Copper concentrations in archaeological bones have been used as a palaeodietary indicator to identify a diet rich in meat [85,86,87], but the relationship between Cu-uptake and dietary composition is still unclear [88, 89]. The impact of Cu-exposure on medieval and post-medieval populations through the use of kitchen utensils and environmental factors have been investigated and it has been argued that the Cu concentrations in bones indicate either a higher social class or a higher degree of urbanisation (see [90] and references therein).

The possibility of diagenetic effects of Cu in bones have been emphasised by several of the before mentioned studies. Evidence of post-mortem alteration in cortical bone have been found in archaeological contexts with a heavy anthropic Cu-pollution linked to the nature of the site, such as a medieval metal-workshop in France [79], but also in Neolithic animals bones [91]. The present study does not deal with either heavily anthropogenically polluted areas, or very old bones, so the bones in the present study are not pre-disposed to diagenetic changes in the Cu concentrations.

Excavation sites

The Franciscan friary of Svendborg

The medieval town of Svendborg was situated on the south coast of the island of Funen in Denmark (Fig. 1a). The Franciscan Friary in Svendborg was founded in AD 1236 at a site which in its day was near the shoreline but still within the medieval city limits. The friary was modified and enlarged several times, most substantially in AD 1361. In the renaissance period, by the end of 16th Century, the Hardenberg Chapel was erected north of the church choir with an entrance into the church room. The chapel was a small almost square structure of 5.6 × 6.0 m built of red bricks on a granite plinth. Most of the friary—excluding the Hardenberg Chapel and the northern wall of the friary church—was demolished in 1828 (Fig. 1b, c). The Hardenberg Chapel and the remainder of the north wall of the church was finally demolished in 1876 when the railway came to Svendborg. The friary and the chapel were excavated by Svendborg og Omgens Museum in 1975–1976, where a burial crypt with the dimensions 4.0 × 2.6 m was discovered underneath the chapel floor (Fig. 1d). The walls of the crypt were made of redbrick (one stone in thickness) and built up against the sides of the pit dug for the crypt. The floor of the crypt was paved with unglazed tiles. Both the chapel above and the crypt were seemingly used for burials. The name of the chapel suggests that it was erected by Helvig Hardenberg (1540–1599, widow of Erik Rosenkrantz), who owned part of the friary in 1586 [3]. In the cloister walk, less than ten meters from the chapel, were unearthed eleven individuals, all males; and some 50 meters further to the south of the friary was unearthed a layman cemetery [3].

Fig. 1
figure 1figure 1

a Map showing the position of Svendborg in Denmark. Insert: position of Denmark; b plan of the Franciscan Friary Church of Svendborg prior to demolition of the church in 1828. North is up. Hand drawing by C.F. Thorin. The position of the Hardenberg Chapel is marked by “4” and can be seen in red in the upper right of the drawing; c watercolour depicting the Hardenberg Chapel seen from the north after the demolition of the church in 1828. Painted by S. Rænkel in 1885 (Svendborg Museum no. 5.422); d archaeological area map showing details of the crypt floor of the Hardenberg Chapel made during the excavation

Full size image

The Franciscan friary near Montella

The S Francesco a Folloni friary was erected c.1 km northeast of the medieval town of Montella, which is situated on the slope of the Picentini mountain range in the Avellino province of the Campania region in Southern Italy (Fig. 2a–c). The friary was founded by St. Francis of Assisi himself during a trip to the sanctuary of St. Michele at Gargano in the winter AD 1221-2. The Iannelli Chapel was added in the 1620′s, when Giovanni Bernardino Iannelli granted a large sum of money to the friars for the realization of a chapel [1] and of an altar to contain the relic of the sack of St. Francis [92] and with a guarantee of obtaining there the final resting place for himself and his loved ones.

Fig. 2
figure 2figure 2figure 2

a Map showing the position of Montella in Italy; b plan of the church of the Franciscan Friary at Folloni, near Montella AV, Southern Italy. The Iannelli Chapel is seen at the lower left; c vertical section through the Iannelli Chapel made during the excavation; d photo of the tombstone covering the access to the crypt prior to opening, placed according to the surroundings; e: Photo of the skeletons during the excavation, inserted into a drawing of the walls of the chapel and the access way (dashed lines)

Full size image

An earthquake demolished most of the friary in 1732 but left the Iannelli crypt intact. When the friary was rebuilt by the Franciscan Order between 1746 and 1750 the new church was rotated 90° around the position of the original altar, still leaving the Iannelli crypt untouched [1, 2]. The cloister walk and the Iannelli crypt were excavated during two extensive excavations of the friary in 2007–2008 and again in 2010 under the supervision of S. Schiavone [1]; the study of the skeletons was conducted under the supervision of M. Torino [2, 93]. Due to the find of both males and females in the cloister walk, it is likely that the cloister walk was used as a burial place for both friars and townspeople alike. The individuals selected in the Iannelli crypt were mostly middle-aged males, although one child and one adolescent were also included. The oldest individuals were ca. 65 years of age. Four individuals showed signs of syphilis and five of tuberculosis. Two photos from the excavation of the crypt under the Iannelli Chapel are shown in Fig. 2d, e. In connection with a male individual (grave no. 16) there was found a small votive medal bearing the effigy of St. Ignazio de Loyola and St. Francesco Saverio [1]. Which—for this individual—points to a burial after 1623, the year of the canonization of the two Jesuits.

Sampling strategy

Two samples were taken from each individual when possible, a sample of cortical tissue and one of trabecular tissue. When available, the femur was sampled. 17 individuals interred in the Iannelli crypt were sampled, and as comparative material 34 individuals from the cloister walk of the friary have been analysed. The individuals interred in the cloister walk undoubtedly include several friars, but equally likely also paying citizens from the nearby Montella village, particularly so, since both children and women were found in the cloister walk [1, 2]. The individuals from the cloister walk are most likely older than ca. AD 1500 (see radiocarbon dates in [2]). The individuals from the Iannelli crypt are most likely from 1614 - the time of the erection of the chapel—to 1643. In 1643 Bartolomeo Orazio (1601-1650) moved his family to Civitella del Tronto in Abruzzo. It is considered unlikely, although possible, that burials were added after 1643. The crypt was with certainty sealed when the Franciscan order re-build the friary between 1741 and 1750 following the devastating earthquake in 1732. The crypt was one of the few parts of the complex not demolished by the earthquake and not rebuild by the friars. There is therefore at least a 100 years, and possibly more, difference in age between the two groups. However, even despite this offset in date, the habitants lived in the same environment and in a rather static rural society which makes a comparison worthwhile. Information about sex and age at death have been ascertained for the Iannelli individuals and are listed in Table 1.

Table 1 List of individuals investigated from the Iannelli Chapel
Full size table

A similar sampling strategy has been adopted for the Hardenberg crypt. All seven individuals excavated from the Hardenberg crypt have been sampled. As a comparative material all 14 individuals excavated in the cloister walk of the Svendborg Franciscan Friary have been included in the study. There were no women or children among the individuals recovered from the cloister walk in Svendborg. However, contrary to [3], Kristensen now thinks it is likely that not all the individuals were friars [4]. Like in Montella there is a difference in the dating of the two groups. The individuals interred in the Hardenberg crypt lived in the 17th and 18th centuries, while the individuals from the cloister walk are likely from before the protestant reformation in 1536. This means that there is a difference in age of no less than 75 years. Information about the individuals from the Hardenberg crypt are reported in Table 2.

Table 2 List of individuals investigated from the Hardenberg Chapel
Full size table

Experimental

Sampling

The sampling was carried out using a Dremel Multi ProW drill (Robert Bosch) equipped with either an engraving drill or a saw blade. Prior to sampling the drill or saw blade was rinsed in MilliQ water (Merck Millipore) and then heated in an ethanol flame. The rinsing was carried out to avoid contamination from dust or leftover material from the last use. The heating was applied to rid the utensils of any remaining Hg. The sampling took place on two sheets of clean aluminium foil, the lower to prevent contamination from the working table. The person taking the samples was equipped with hairnet, dust mask, lab coat, and disposable latex gloves. For each individual a sample of femoral cortical tissue was taken of the posterior part of the femur (enabling later exhibition of the bone) ca. 10 cm below the trochanter minor yet avoiding linea aspera. Before the cortical tissue samples were collected, the upper 1–2 mm of the bone was discarded, leaving a pristine sampling area of ca. 1 × 2 cm devoid of soil particles. The top Al-foil were replaced before the actual sample was drilled from the decontaminated surface. The sampling yielded ca. 100 mg of bone material. In rare cases where a femur was not present or not well preserved, tibia or humeri were sampled instead.

The trabecular samples were collected from the inner part of the caput femoris. The samples were procured by drilling a hole with a diameter of ca. 5 mm in the caput, exposing the trabecular interior. The drill was rinsed, and gloves and Al-foil were replaced. Trabecular bone material was then removed from inside the hole, yielding ca. 100 mg of partly crushed trabecular lamellae. The sample was collected and transferred to a pre-cleaned glass vial. In some cases, the trabecular tissue was pristine, in other cases soil particles had found their way into the caput femoris. If a sample—cortical or trabecular—appeared dark upon visual inspection, the sample was sorted under the microscope using clean tweezers and in this way getting rid of all particles of soil, dried organic material and other extraneous matter particles one at a time, leaving only clean bone; a tedious and time consuming, but necessary, practice. If a Ca concentration was found to be lower than 22.1 wt %, a new sample was procured, as this could indicate the possible presence of soil particles.

ICP-MS

The major and trace elements Ca, Mn, Fe, Cu, Sr, Ba, and Pb were measured by ICP-MS (Inductively Coupled Plasma Mass Spectrometry) and Hg by CV-AAS (Cold Vapour Atomic Absorption Spectrometry). Each sample weighing ca. 40 mg was dissolved in a mixture of 4 mL of 65% HNO3 and 2 mL 30% H2O2, both of ICP-MS-grade (TraceSELECT® Fluka). The digestion took place in new, sealed polystyrene containers, which were left on a shaking table for 24 h at room temperature (ca. 20 °C). The excess hydrogen peroxide was driven away by adding 0.67 mL 38% ICP-MS-grade HCl (PlasmaPURE Plus® SCP Science). The samples were then diluted to 10 mL with Milli-Q water and filtered through 0.45 μm PVDF Q-Max disposable filters. The samples were then divided in halves, and one half was further diluted and used for ICP-MS, while the other half was used for CV-AAS. The solutions were stored at + 4 °C until the analyses were performed a day or two later. The analyses were carried out on a Bruker ICP-MS 820, equipped with a frequency-matching RF generator and a Collision Reaction Interface (CRI), operating with either helium or hydrogen as skimmer gas. The basic parameters were as follows: radiofrequency power 1.40 kW, plasma gas flow 15.50 L min−1; auxiliary gas flow 1.65 L min−1; sheath gas flow 0.12 L min−1; nebulizer gas flow 1.00 L min−1. The CRI reaction system was activated for Fe and Cu because of interferences with polyatomic species produced by a combination of isotopes coming from the argon plasma, reagents, or the matrix. A mixture of 45Sc, 89Y, and 159Tb was used as internal standard added to all analyses. The following isotopes were measured without skimmer gas: 44Ca, 55Mn, 88Sr, 137Ba, and 208Pb. 56Fe was measured with hydrogen as skimmer gas. 63Cu was analysed with helium as skimmer gas. The dwell time on each peak was 30 ms. There were made 5 replicate analyses of each sample and each replicate consisted of 30 mass scans. Multi-element calibration standards were prepared in 1% HNO3 at 6 different concentrations (0, 1, 10, 20, 100, and 200 µg L−1), but for each element only 3 standards were selected to fit the appropriate concentration range found in the sample. For the main element Ca three standards of 100, 200, and 250 µg L−1 were used. Each day an in-house standard sample manufactured from a homogenized medieval bone was analysed along with the samples in order to monitor the overall performance. Together with the samples was also analysed an international standard, NIST SRM-1486, a modern bone sample. For the modern samples more H2O2 had to be added in order to cope with its higher collagen content. The average overall relative standard deviation (RSD) of the reported element concentrations were (1σ expressed in  % of the concentration): Ca: 1.6; Mn: 0.9; Fe: 6.4; Cu: 4.5; Sr: 0.7; Ba: 0.7; and Pb: 0.7. Concentrations below the LOQ (limit of quantification) are reported as < LOQ. The LOQ is calculated as 10 times the standard deviation over the detection limit, where the standard deviation is calculated as a mean of the standard deviations measured over a ca. half-year period with one or two weekly runs. The LOQ’s were: Ca: 40.7 µg g−1; Mn: 0.51 µg g−1; Fe: 13.5 µg g−1; Cu: 2.56 µg g−1; Sr: 0.72 µg g−1; Ba: 0.49 µg g−1; and Pb: 0.49 µg g−1.

CV-AAS

Mercury was measured by cold vapour atomic absorption spectrometry on a dedicated mercury analyser, a Flow Injection Mercury System (FIMS-400) manufactured by PerkinElmer and equipped with an S10 autosampler. This system featured a better detection limit for Hg than the ICP-MS, which tends to be overloaded with Hg from the continuous daily analyses of bones, some of which high in Hg. Two hours prior to analysis 1 mL of concentrated KMnO4 was added to 5 mL of sample in order to maintain the Hg in solution on ionic form. The sample was then diluted to 20 mL. In the reaction chamber of the FIMS-400 the Hg was released as vapour by adding NaBH4. The analyser was operated in the continuous flow mode. An in-house human bone standard was dissolved daily together with the bone samples and included in the daily runs in order to monitor any drift in the systems. The overall standard deviation, i.e. the standard deviation including measurement, reproducibility and dilution, was estimated to be ca. ± 3.0% (RSD at 1σ) for Hg, and the LOD (Limit Of Detection) was ca. 1.5 ng g−1 for a human bone sample of ca. 20 mg, and the LOQ (Limit Of Quantification) was calculated to 8.72 ng g−1 based on daily measurements of the in-house standard sample over half a year.

Estimation of age and sex

Sex estimation was made as described by Buikstra and Ubelaker [94] evaluating the morphology of the pelvic bones and the cranium. Furthermore, the robustness and the size of the post cranial skeletons were considered [95].

Age at death in adults was estimated according to the Experience-based method described in Milner and Boldsen [96] and Milner et al. [97]. The method utilizes degenerative and age-related changes in a large number of bones in the entire skeleton. Each skeleton was given an estimated age range of minimum and maximum age at death.

Results

The results are listed in Additional file 1: Table S1, which lists the concentrations of Ca, Mn, Fe, Cu, Sr, Ba, Hg, and Pb (in wt %, µg g−1 or ng g−1) one standard deviation in (wt%, µg g−1 or ng g−1). Also listed are the results of the analyses of the SRM NIST-1486 Bone meal and an in-house medieval human bone standard.

Statistical evaluation

The statistical evaluation was conducted on the compact bone samples of the 72 individuals. The arithmetic mean and the relative standard deviations (RSD) are listed in Table 3, sorted according to their country (set) and burial locations (sub-set). The values below LOQ were replaced by the LOQ value itself for the calculation of the statistical parameters and the computation of the Principal Component Analysis (PCA).

Table 3 The arithmetic means of the concentrations and the standard deviations (SD) for all sets and sub-sets of samples
Full size table

In the Italian sample set, two individuals showed very high concentrations for Mn and Fe (KLR-9441/Ian20 and KLR-9474/USD459). Two other samples exhibited very high Fe concentrations (KLR-9443/Ian22 and KLR9446/Ian25). These values have been discarded from the calculations of the statistical index of Fe and Mn in Table 3 because of the distortion they cause. For the two Italian sub-sets, larger variations were found for the distributions of Mn, Fe, and Pb (RSD of the mean > 0.6). The elemental concentrations of the individuals from the Iannelli crypt also exhibited a high variation in Cu and Hg (RSD of the mean > 0.8), while the same elements showed a lower variation amongst the friars and townspeople.

In the Danish sample set one individual showed very high Fe and Mn concentrations (KLR-8536) and was therefore discarded from the statistical calculations. For the two sub-sets of Danish samples, high variations were found for Mn and Cu (RSD of the mean > 0.6) and to a lesser extend for Fe. A high variation was also observed for the Hg concentrations in the Hardenberg crypt bones (RSD of the mean > 1).

Two Kruskal–Wallis ANOVA analyses were performed on the Italian and Danish sample sub-sets without the discarded outliers of Fe and Mn, and only for cortical tissues. The results are summed-up in Table 4. In the Italian sample set the distributions of all the elements are statistically different between the individuals from the Iannelli crypt and the ones buried in the cloister walk. In the Danish sample set, all the elements except Fe, Mn, and Hg are statistically different between the Hardenberg crypt and the individuals interred in the cloister walk.

Table 4 The results of the Kruskal–Wallis ANOVA analyses of the two sets and two sub-sets of individuals
Full size table

Principal component analysis

Two PCA analyses on Spearman ranks correlation matrices were computed on the values from the cortical bone samples of the 72 individuals: one for the Italian individuals and one for the Danish ones. For the Italian skeletons (n = 51) the three first principal components (also called Varifactors after the Varimax transformation) accounted for 81% of the variance (Table 5). The first principal component, PC-1, explained 36% of the variance and showed high positive loadings for Ca, Sr, and Ba and low negative loadings for Cu and Hg. PC-2 explained 29% of the variance and was characterised by high positive loadings of Mn, Fe, Cu, and Hg. The third principal component, PC-3, explained 17% of the variance. PC-3 showed a high positive loading for Pb and moderate positive loading for Fe.

Table 5 Varifactor loadings for the two PCA performed on the Italian and the Danish samples
Full size table

For the Danish skeletons (n = 21), the four first principal components accounted for 91% of the variance (Table 5). PC-1 explained 35% of the total variance and showed high or moderate positive loadings for Ca and Sr, and a moderate positive loading for Ba and Cu. PC-2 explained 20% of the variance and was characterized by high positive loadings for Mn and Fe. PC-3 explained 15% of the variance and it showed high positive loading for Hg. PC-4 explains 20% of the variance and exhibited high negative loading for Pb.

The results of the Kruskal–Wallis ANOVA applied to the PCA factors showed that there are statistically significant differences in the coordinates of the bones from the two noble families and the respective townspeople for the Italian and Danish skeletons.

Discussion

Strontium and barium

The concentration of Sr is plotted versus the concentration of Ba in Fig. 3a for the cortical tissue samples from the Italian individuals, and in Fig. 3b for the Danish individuals. The patterns seen in Fig. 3a, b are very similar: the individuals buried in the crypts under the private chapels of the noble families are low in both Sr and Ba compared to the friars or villagers buried in the adjacent cloister walks, and this is the case for both Montella and Svendborg. As mentioned above, variations in Sr- and Ba-concentrations can either be due to differences in provenance or determined by changes in dietary habits or the individuals. In this case it is likely that the observed differences reflect a difference in dietary habits between noble families and the friars or villagers. It could well be due to a diet high in meat in the Iannelli and Hardenberg families, who both had a high social status and presumably the ability to afford meat as a part of their daily diet ([19, 89], see also Fig. 8 in [32]).

Fig. 3
figure 3

The concentration of Ba (in µg g−1) as a function of Sr (also in µg g−1) in cortical tissue. a Data from Montella, Italy. The individuals interred in the Iannelli crypt (red squares) and the individuals from the cloister walk (yellow pyramids); b data from Svendborg, Denmark. The individuals interred in the Hardenberg crypt (blue circles) and the individuals from the cloister walk (green diamonds)

Full size image

Another less likely possibility is that the differences in Sr and Ba concentrations are caused by the difference in age of the burials, both private chapels are from the 17th–18th centuries, whereas the majority of burials in the cloister walks are in both cases medieval; in Svendborg probably predating the protestant reformation in 1536, and in Montella mostly before 1500 according to a large number of radiocarbon datings reported [2]. The time differences are at least 75 years and 100 years difference in Svendborg and Montella, respectively. These time differences are, however, not considered large enough to skew the comparison in a major way.

If we focus on the Sr versus Ba of the compact tissues of the individuals from the two crypts, it is seen that there is an overlap between the concentrations from the Hardenberg and the Iannelli families. Both populations show a positive correlation between Sr and Ba concentrations, and both populations exhibit very low and overlapping Sr and Ba concentrations, although the Iannelli individuals have a little lower concentrations of both Sr and Ba than the Hardenberg individuals. It could be a coincidence that the amounts of bioavailable Sr and Ba were similar in Montella and Svendborg, but it is a more likely interpretation that the Sr and Ba concentrations for these two noble families are determined by their diet, probably very high in animal meat, and that the fractions of animal meat consumed have been somewhat similar resulting in the observed overlap.

Mercury and lead

There are other similarities between the normal population and the noble families in Montella and Svendborg. In Fig. 4 is shown the concentrations of Pb versus Hg, and it can be seen that both noble families are higher in Pb-concentrations than their respective comparative material from the cloister walks. The individuals from the Iannelli crypt are on average a factor of 3.4 higher in Pb concentrations than the individuals interred in the cloister walk, whereas the individuals from the Hardenberg crypt are about a factor of 11.4 higher in Pb concentrations compared to the friars and townspeople from Svendborg (see Table 3). The enrichment factors for Hg are 3.3 and 1.6 for Iannelli and Hardenberg respectively, but for Hg there are large variations indicating that some individuals have received Hg while others not. However, considering the averages listed in Table 3, there are on average more Hg in the noble families even though there is also a great deal of overlap in the distributions.

Fig. 4
figure 4

The concentration of Pb (in µg g−1) as a function of Hg (in ng g−1) in cortical tissue samples. a individuals from the Iannelli crypt (red squares) and the friary cloister walk (yellow pyramids); b individuals from the Hardenberg crypt (blue circles) and the individuals excavated from the cloister walk (green diamonds)

Full size image

The most likely exposure-way to Hg for the noble families is through medication [2, 43, 46, 58]. It can be seen from Fig. 4a that seven individuals (five visible on the plot, KLR-9429, KLR-9430a, KLR-9432, KLR-9435a, KLR-9440a, plus two individuals below LOQ) from the Iannelli crypt have very low Hg-concentrations (less than 12 ng g−1), whereas 12 individuals have Hg-concentrations in the cortical tissue higher than the highest of the individuals interred in the cloister walk (22 ng g−1). It therefore seems a viable interpretation that a handful of the Iannelli family members were exposed to Hg-containing medicine whilst none of the friars and villagers were exposed to Hg.

Contrary to Montella, no significant differences were observed in the distributions of Hg in Svendborg—noble family and friars/townspeople alike seem to have had equal access to Hg-containing medicine (Fig. 4a), but none of them were highly exposed.

Lead and copper

The main sources for both Pb and Cu are probably cooking utensils [32, 39, 46, 69,70,71, 91, 98]. Lead was used throughout medieval Europe for glazing ceramics; a glaze which could release Pb2+ ions into the foodstuff if the food had a low pH. Copper was utilised in the medieval period and post-modern time as a very abundant material for large cooking pots and food containers in wealthy homes [90]. The estimated time-period for the burials in both chapels are 17th to 18th century, where the use of Cu utensils is expected to have been widespread in large parts of both societies. In Fig. 5 is shown the concentration of Pb as a function of the concentration of Cu in cortical tissue, which shows that the Hardenberg individuals have 3.8 times higher Pb-concentrations than the Iannelli family members, while the Iannelli individuals are a factor of 21 times higher in Cu concentrations compared to the Hardenberg individuals. It therefore seems a plausible interpretation that Cu utensils were not introduced in the kitchen of the Hardenberg’s whereas they were indeed present in the kitchen of the Iannelli family. The exposure to Pb was more similar in the two places, only the Hardenberg family members were slightly more exposed to Pb than the Iannelli’s.

Fig. 5
figure 5

The concentration of Pb (in µg g−1) as a function of Cu (also in µg g−1) in cortical tissue for the individuals interred in the Iannelli crypt (red squares) and the individuals from the Hardenberg crypt (blue circles)

Full size image

As for the effect of age, it seems possible that Pb accumulated in cortical tissue with increasing age in the noble family members from the Iannelli crypt (red square points in Fig. 6). It is not possible to determine if such an age-dependant effect is also present in individuals from the Hardenberg crypt in Svendborg, because only middle-aged adults from 32 to 50 years at the time of death have been excavated here. A number of reasons for such a chronic exposure to Pb can be thought of: lead glazed ceramics, pewter or even pure lead utensils in the kitchen, lead tiled roofs possibly exposing the drinking water, or the intake of wine with added lead acetate, which has the property to arrest fermentation and souring [99]. The region of Irpinia, where Montella is situated, was famous for its good wine, which makes the latter option a possibility. However, no such increase of Pb concentration with age was seen in medieval and post-medieval Horsens (see Fig. 4 in [46]), where the range of Pb concentrations were almost similar to the Iannelli individuals. It therefore remains a possibility that the correlation between age at death and Pb concentration in cortical bone for the Iannelli family members is a coincidence.

Fig. 6
figure 6

The concentration of Pb (in µg g−1) as a function of the average estimated age at death; the Iannelli individuals are shown with red squares and the Hardenberg individuals with blue circles

Full size image

Finally, there is the possibility that Cu and Pb can be derived from posthumous diagenetic processes. Statistically speaking there is a correlation between Fe on one side and Cu and to some degree also Pb on the other side for the Svendborg samples, which could be due to an overprint of a diagenetic effect for Cu and also but less likely for Pb. In the Iannelli individuals no correlations were seen between Fe and Cu, nor between Fe and Pb, and a digenetic origin of Cu or Pb in these individuals is not likely.

Iron, manganese and other elements—diagenesis or not?

Iron and Mn are usually linked to diagenetic alteration in bones from the post-mortem environment [30, 68, 100,101,102]. Experiments carried out on buried animal bones showed unambiguously an increase of the Fe and Mn concentrations, even after short time in the soil [103, 104]. Values from modern cortical bone samples recorded in Poland and Taiwan [105, 106] showed that the average Fe concentrations in these bones were close to 100 µg g−1, but variations were seen with a maximum concentration value of above 1000 µg g−1.

In the present study the average concentration of Mn is close to 2 µg g−1 with a narrower variation range, the maximum value recorded is 20 µg g−1 (Table 3). In the PCA calculated on the two sets of samples from Italy and Denmark Mn and Fe were both associated with the same principal components with strong positive loadings, suggesting the influence of a diagenetic process involving these two elements (Table 5 and Fig. 7). For the Danish samples, the PC1 versus PC2 plot (Fig. 7a) shows that most of the samples from Svendborg are located in the right side of the plot with positive PC1-coordinates. This reflects higher concentrations of Ca, Sr, Ba, and Cu. PC2 which is mainly influenced by Fe and Mn, does not discriminate the two sub-sets of samples. The PC3 versus PC4 plot (Fig. 7b) shows that all the samples from the Hardenberg crypt are located towards the bottom of the plot with negative values of PC4, reflecting higher proportions of Pb in these samples. PC3 that mainly represent the variability of Hg does in this set of samples discriminate between the Svendborg and the Hardenberg individuals. In Fig. 7c is shown PC1 versus PC2 of the Italian samples. Here a trend is visible with the gathering of the Iannelli crypt samples in the left side of the plot, reflecting higher values of Cu and Hg. The influence of Mn and Fe are not very pronounced in these samples. A high proportion of the samples from Montella is located in the right side on the plot in Fig. 7c, reflecting higher values of Sr and Ba. The PC1 versus PC3 plot in Fig. 7d shows a very similar dispersion of the data points, but here there are higher values of Pb in the Iannelli crypt samples.

Fig. 7
figure 7

The results of the PCA analysis. a PC1 versus PC2 for cortical tissue in the Hardenberg individuals and the Svendborg friars and townspeople; b PC3 versus PC4 for cortical tissue in the Hardenberg individuals and the Svendborg friars and townspeople; c PC1 versus PC2 for cortical tissue in the Iannelli individuals and the Montella friars and townspeople; d PC1 versus PC3 for cortical tissue in the Iannelli individuals and the Montella friars and townspeople

Full size image

The four PCA plots in Fig. 7 are fitting well with the Kruskal–Wallis tests results, showing that the eight elements measured can discriminate the two sub-sets of Italian samples while the Danish samples are not well discriminated by Hg, Fe, and Mn.

The coefficient of determination between Fe–Mn are high for the Iannelli crypt samples (R2 = 0.70), while it is very low for the samples from the cloister walk of Montella (< 0.1). Many samples from the Montella cloister walk have low concentrations of Mn and Fe, and they are in the range of what is to be expected in a modern non-interred population (mean values reported between 12 and 500 µg g−1 for Fe, and 0.1 and 5 µg g−1 for Mn, see Table 3 in [102]). Interestingly, the samples with high Mn values (> 20 µg g−1) do not also have high concentrations of Fe (Additional file 1: Table S1), while for the Montella cloister walk the samples with relatively high Fe concentrations have low Mn concentrations (< 20 µg g−1). The two sub-sets therefore showed a different distribution pattern and higher mean values for Fe and Mn in the Iannelli crypt samples according to Kruskal–Wallis ANOVA (Table 4).

For the individuals from the Svendborg cloister walk and the Hardenberg crypt there is a moderate to strong correlation between Fe and Mn (0.8 and 0.7, respectively). The distributions of the two sub-set of samples from Denmark and Italy are quite similar and no significant differences were detected in the results of the Kruskal–Wallis ANOVA (Table 4). A scenario of the same type of diagenetic processes even with a limited co-enrichment of Fe and Mn, can still be possible, where the groundwater transports the easily dissolvable Fe and Mn ions from an anoxic environment to a more oxidized one, where both Fe and Mn changes oxidation state and becomes a lot less solvable.

The final test lies in the trabecular tissue, which is more prone to diagenesis than the cortical. In Fig. 8 is plotted the Mn-concentration as a function of the Fe-concentration for all individuals in both private crypts, and as expected the Fe concentration has a tendency to be higher in the trabecular tissues than in the cortical for both burial sites. There seems to be no systematic difference, however, between the Mn-concentrations in cortical and trabecular tissues, neither in the Iannelli individuals nor in the Hardenberg ones. Even though there are no clear signs of systematic diagenesis in the sites, it remains our interpretation, however, that at least for some of the individuals there are diagenetic overprints for Fe and Mn.

Fig. 8
figure 8

The concentration of Mn (in µg g−1) as a function of Fe (also in µg g−1) in both cortical and trabecular tissue. Data from the individuals from the Iannelli crypt, cortical tissue (red squares), trabecular tissue (red triangles). The individuals interred in the Hardenberg crypt, cortical tissue (blue circles) and trabecular tissue (blue pyramids top down)

Full size image

Conclusions

The present study reveals a distinct inventory of trace elements in two noble families from the 17th–18th Century buried in two private crypts in Italy and Denmark. The Sr- and Ba-concentrations are lower in the individuals of both noble families than in the comparative material consisting of friars and townspeople. This effect is ascribed to a difference in diet, which for the noble families could be rich in terrestrial meat. Lead was found to be higher in both noble families compared to the comparative material, which is in accordance with the interpretation of higher Pb-concentrations indicating a higher social status. The lead could possibly also have a slight diagenetic overprint in Svendborg. It seems possible that the Iannelli individuals accumulated Pb with age, which is a peculiar observation. Copper concentrations are distinctly higher in the Iannelli individuals than in the Hardenberg family members, which points to the presence of Cu cooking pots in the kitchen of the Iannelli family and lack of such equipment in the kitchen of the Hardenberg’s. Copper concentrations were also somewhat correlated with Fe concentrations for the Svendborg individuals, and there could therefore also be a slight diagenetic overprint for Cu here. Mercury seems to have been administered to some of the Iannelli family members, whereas this was not the case for the Hardenberg’s.

Availability of data and materials

Data are available upon request from the authors.

Abbreviations

ANOVA:

Analysis of variance

CRI:

Collision reaction interface

CV-AAS:

Cold vapour atomic absorption spectrometry

ICP-MS:

Inductively coupled plasma mass spectrometry

LOD:

Limit of detection

LOQ:

Limit of quantification

PCA:

Principal component analysis

RSD:

Relative standard deviation

SD:

Standard deviation

References

  1. Schiavone S. Convento di San Francesco a Folloni. 2005–2013 (Montella-AV), in Notizie scavi e lavori sul campo, Schede 2012–2013, a cura di Sergio Nepoti, Archeologia Medievale XL. 2013;294–297.

  2. Torino M, Boldsen JL, Tarp P, Rasmussen KL, Skytte L, Nielsen L, Schiavone S, Terrasi F, Passariello I, Ricci P, Lubritto C. Convento di San Francesco a Folloni: the function of a Medieval Franciscan Friary seen through the burials. Herit Sci. 2015;3:27.

    Google Scholar 

  3. Kristensen HK. The Franciscan Friary of Svendborg, The Archaeology of Svendborg, Volume 6 (Ed. Jansen, HM). 1994; pp 110.

  4. Kristensen HK. Klostre i det middelalderlige Danmark. Jysk Arkæologisk Selskabs Skrifter. 2013;79:500.

    Google Scholar 

  5. Pankowskaa A, Mildeb D, Bohunskáb J. Variation of Ba/Ca and Sr/Ca response in human hard tissue from archaeological series. Interdis Archaeol Nat sci archaeol. 2016;7:157–67.

    Google Scholar 

  6. Turekian KK, Kulp JL. Strontium content of human bones. Science. 1954;124:405–7.

    Google Scholar 

  7. Toots H, Voorhies MR. Strontium in fossil bones and reconstruction of food chains. Science. 1965;149:854–5.

    CAS  Google Scholar 

  8. Brown AB. Bone strontium as a dietary indicator in human skeletal populations. Contribut Geol Univ Wyom. 1974;13:47–8.

    CAS  Google Scholar 

  9. Sillen A, Kavanagh M. Strontium and paleodietary research: a review. Yearbook Phys Anthropol. 1982;25:67–90.

    Google Scholar 

  10. Price TD, Kavannagh M. Bone composition and the reconstruction of diet: examples from the Midwestern United States. Midcontinental J Archaeol. 1982;7:61–79.

    Google Scholar 

  11. Lambert JB, Simpson SV, Szpunar CB, Buikstra JE. Ancient human diet from inorganic analysis of bone. Acc Chem Res. 1982;17:298–305.

    Google Scholar 

  12. Burton JH, Price T, Middleton WD. Correlation of bone Ba/Ca and Sr/Ca due to biological purification of calcium. J Archaeol Sci. 1999;26:609–16.

    Google Scholar 

  13. Reynard B, Balter V. Trace elements and their isotopes in bones and teeth: diet, environments, diagenesis, and dating of archeological and paleontological samples. Palaeogeogr Palaeoclimatol Palaeoecol. 2014;416:4–16.

    Google Scholar 

  14. Balter V. Allometric constraints on Sr/Ca and Ba/Ca partitioning in terrestrial mammalian trophic chains. Oecologia. 2004;139:83–8.

    Google Scholar 

  15. Hancock RG, Grynpas MD, Pritzker KP. The abuse of bone analyses for arcaheological dietary studies. Archaeometry. 1989;31:169–79.

    CAS  Google Scholar 

  16. Radosevich SC. The Six Deadly Sins of Trace Element Analysis: A Case of Wishful Thinking in Science. In: Sanford MK, editor. Investigations of Ancient Human Tissue—Chemical Analyses in Anthropology. 1993. Amsterdam: Gordon and Breach Science Publishers.

  17. Burton J, Price TD. The ratio of barium, to strontium as a paleodietary indicator of consumption of marine resources. J Archaeol Sci. 1990;1990(17):547–57.

    Google Scholar 

  18. Price TD, Manzanilla L, Middleton WD. Immigration and the Ancient City of Teotihuacan in Mexico: a study using strontium isotope ratios in human bone and teeth. J Archaeol Sci. 2000;27:903–13.

    Google Scholar 

  19. Burton JH, Wright LE. Nonlinearity in the relationship between bone Sr/Ca and Diet: paleodietary implications. Am J Phys Anthropol. 1995;97:273–82.

    Google Scholar 

  20. Price TD. Multi-element studies of diagenesis in prehistoric bone. In: Price TD, editor. The chemistry of prehistoric human bone. Cambridge: Cambridge University Press; 1989. p. 126–54.

    Google Scholar 

  21. Fabig A, Herrmann B. Trace elements in buried human bones: intra-population variability of Sr/Ca and Ba/Ca ratios–diet or diagenesis? Naturwissenschaften. 2002;89:115–9.

    CAS  Google Scholar 

  22. Hedges RE. Bone diagenesis: an overview of processes. Archaeometry. 2002;44:319–28.

    CAS  Google Scholar 

  23. Zapata J, Pérez-Sirvent C, Martínez-Sánchez M, Tovar P. Diagenesis, not biogenesis: two late Roman skeletal examples. Sci Tot Environ. 2006;369:357–68.

    CAS  Google Scholar 

  24. Burton J. Bone chemistry and trace element analysis. In: Katzenberg MASSR, editor. Biological anthropology of the human skeleton. 2nd ed. New York: Wiley; 2008. p. 443–60.

    Google Scholar 

  25. King CL, Tayles N, Gordon KC. Re-examining the chemical evaluation of diagenesis in human bone apatite. J Archaeol Sci. 2001;38:2222–30.

    Google Scholar 

  26. Maurer A, Barrulas P, Person A, Mirão J, Barrocas Dias C, Boudouma O, Segalen L. Testing LA-ICP-MS analysis of archaeological bones with different diagenetic histories for paleodiet prospect. Palaeogeogr Palaeoclimatol Palaeoecol. 2019;534:109287.

    Google Scholar 

  27. Harkness JS, Darrah TH. From the crust to the cortical: the geochemistry of trace elements in human bone. Geochim Cosmochim Acta. 2019;249:76–94.

    CAS  Google Scholar 

  28. Mays S. Bone strontium: calcium ratios and duration of breastfeeding in a Mediaeval skeletal population. J Archaeol Sci. 2003;30:731–41.

    Google Scholar 

  29. Scharlotta I, Goriunova OI, Weber A. Micro-sampling of human bones for mobility studies: diagenetic impacts and potentials for elemental and isotopic research. J Archaeol Sci. 2013;40:4509–27.

    CAS  Google Scholar 

  30. Skytte L, Rasmussen KL. Sampling strategy and analysis of trace element concentrations by Inductively coupled plasma mass spectrometry on medieval human bones—the concept of chemical life history. Rapid Commun Mass Spectrom. 2013;27:1591–9.

    CAS  Google Scholar 

  31. Lösch S, Moghaddam N, Grossschmidt K, Risser DU, Kanz F. Stable Isotope and Trace Element Studies on Gladiators and Contemporary Romans from Ephesus (Turkey, 2nd and 3rd Ct. AD)—implications for differences in diet. PLoS ONE. 2014; 9:e110489.

  32. Rasmussen KL, Skytte L, D’Imporzano P, Thomsen PO, Søvsø M, Boldsen JL. On the distribution of trace element concentrations in multiple bone elements in 10 Danish medieval and post-medieval individuals. Am J Phys Anthropol. 2017;162:90–102.

    Google Scholar 

  33. Voutchkova DD, Schullehner J, Knudsen NN, Jørg ensen LF, Ersbøll AK, Kristiansen SM, Hansen B. Exposure to Selected Geogenic Trace Elements (I, Li, and Sr) from Drinking Water in Denmark. Geosci. 2015;5;45-66.

  34. Tchounwou PB, Ayensu WK, Ninashvili N, Sutton D. Review: environmental exposure to mercury and its toxicopathologic implications for public health. Environ Toxicol. 2003;18:149–75. https://doi.org/10.1002/tox.10116.

    Article  CAS  Google Scholar 

  35. Matta G, Gjyli L. Mercury, lead and arsenic impact on environment and human health. J Chem Pharma Sci. 2016;9:718–25.

    CAS  Google Scholar 

  36. ATSDR. Toxicological Profile for Mercury Atlanta, GA, Agency for toxic substances and disease registry, U.S. Department of Health and Human Services, Public Health Service, 1999.

  37. Hunt M, Consuegra S. Neolithic and Chalcolithic-VI to III millenia BC—use of cinnabar (HgS) in the Iberian Peninsula: analytical identification and lead isotope data for an early mineral exploitation of the Almadén (Ciudad Real, Spain) mining district. Cuadernos del Museo Geominero. 2011;13:3–13.

    Google Scholar 

  38. Keynes M. The personality of Isaac Newton. Notes Records R Soc Lond. 1995;49:1–56.

    Google Scholar 

  39. Fornaciari G, Marinozzi S, Gazzaniga V, Giuffra V, Picchi MS, Giusiani M, Masetti M. The use of mercury against pediculosis in the Renaissance: the case of Ferdinand II of Aragon, King of Naples, 1467–96. Medic Hist. 2011;55:109–15.

    Google Scholar 

  40. Alexandrovskaya E, Panova T. History of the soil, cultural layer, and people in medieval Moscow. Revista Mexicana de Ciencias Geológicas. 2003;20:289–94.

    Google Scholar 

  41. Alexandrovskaya E, Alexandrovskiy A. Radiocarbon data and anthropochemistry of ancient Moscow. Geochronometria. 2005;24:87–95.

    Google Scholar 

  42. Charlier P. Qui a tué la Dame de Beauté? Étude scientifique des restes d’Agnès Sorel (1422–1450). Histoire des Sciences Médicales. 2006;40:255–63.

    Google Scholar 

  43. Rasmussen KL, Boldsen JL, Kristensen HK, Skytte L, Hansen KL, Mølholm L, Grootes PM, Nadeau M-L, Eriksen KMF. Mercury levels in Danish Medieval human bones. J Archaeol Sci. 2008;35:2295–306.

    Google Scholar 

  44. Rasmussen KL, Skytte L, Pilekær C, Lauritsen A, Boldsen JL, Leth PM, Thomsen PO. The distribution of mercury and other trace elements in the bones of two human individuals from medieval Denmark—the chemical life history hypothesis. Herit Sci. 2013;1:10.

    Google Scholar 

  45. Rasmussen KL, Skytte L, Ramseyer N, Boldsen JL. Mercury in soil surrounding medieval human skeleton. Herit Sci. 2013;1:16.

    Google Scholar 

  46. Rasmussen KL, Skytte L, Jensen AJ, Boldsen JL. Comparison of mercury and lead levels in the bones of rural and urban populations in Southern Denmark and Northern Germany during the Middle Ages. J Archaeol Sci Rep. 2015;3:358–70.

    Google Scholar 

  47. Ávila A, Mansilla J, Bosch P, Pijoan C. Cinnabar in Mesoamerica: poisoning or mortuary ritual? J Archaeol Sci. 2014;49:48–56.

    Google Scholar 

  48. Bocca B, Forte G, Giuffra V, Serra RM, Asara Y, Farace C, Milanese M, Tognotti E, Montella A, Bandiera P, Madeddu R. Metals in bones of the middle-aged inhabitants of Sardinia island (Italy) to assess nutrition and environmental exposure. Environ Sci Pollut Res. 2018;25:8404–14.

    CAS  Google Scholar 

  49. Cervini-Silva J, Palacios E, Muñoz MDL, Angel PD, Montoya JA, Ramos E, López F, Pacheco AR. Cinnabar-preserved bone structures from primary osteogenesis and fungal signatures in ancient human remains. Geomicrobiol J. 2013;30:566–77.

    CAS  Google Scholar 

  50. Emslie SD, Brasso R, Patterson WP, Valera CA, McKenzie A, Silva AM, Gleason JD, Blum JD. Chronic mercury exposure in Late Neolithic/Chalcolithic populations in Portugal from the cultural use of cinnabar. Scientific Reports 5. 2015;205:14679. https://doi.org/10.1038/srep14679.

  51. Emslie SD, Alderman A, McKenzie A, Brasso R, Taylor AR, Moreno MM, Cambra-Moo O, Martín AG, Silva AM, Valera A, Sanjuán LG, Vila EV. Mercury in archaeological human bone: biogenic or diagenetic? J Archaeol Sci. 2019;108:104969.

    CAS  Google Scholar 

  52. López-Costas O, Kylander M, Mattielli N, Álvarez-Fernández N, Pérez-Rodríguez M, Mighall T, Bindler R, Cortizas A. Human bones tell the story of atmospheric mercury and lead exposure at the edge of Roman World. Sci Tot Environ. 2020;710:136319.

    Google Scholar 

  53. Ochoa-Lugo M, Cervini-Silva J, Muñoz ML, Palacios E, Pérez-Ramirez G, Ramos-Cruz E, Montoya A, Romano-Pacheco A. The effect of depositional conditions on mineral transformation, chemical composition, and preservation of organic material in archaeological bone remains. J Archaeol Sci Rep. 2017;15:213–8.

    Google Scholar 

  54. Panova TD, Dmitriev AY, Borzakov SB, Hramco C. Analysis of arsenic and mercury content in human remains of the 16th and 17th centuries from Moscow Kremlin necropolises by neutron activation analysis at the IREN facility and the IBR-2 reactor FLNP JINR. Phys Particles Nuclei Lett. 2018;15:127–34.

    CAS  Google Scholar 

  55. Walser JW, Kristjánsdóttir S, Gowland R, Desnica N. Volcanoes, medicine, and monasticism: investigating mercury exposure in medieval Iceland. Int J Osteoarchaeol. 2019;29:48–61.

    Google Scholar 

  56. Yamada M-o, Tohno S, Tohno Y, Minami T, Ichii M, Okazaki Y. Accumulation of mercury in excavated bones of two natives in Japan. Sci Tot Environ. 1995;162:253–256.

  57. Rasmussen KL, Torino M, Glastrup J, Ramseyer NT, Bjerregaard P. On the embalmment of S. Francesco Caracciolo. Archaeometry. 2012;54:1100–13.

    CAS  Google Scholar 

  58. Hu H, Shih R, Rothenberg S, Schwartz BS. The epidemiology of lead toxicity in adults: measuring dose and consideration of other methodologic issues. Environ Health Perspec. 2007;115:455–62.

    CAS  Google Scholar 

  59. Ellis DE, Terra J, Warschkow O, Jiang M, González GB, Okasinski JS, Bedzyk MJ, Rossi AM, Eon J. A theoretical and experimental study of lead substitution in calcium hydroxyapatite. Phys Chem Chem Phys. 2006;8:967.

    CAS  Google Scholar 

  60. Pemmer B, Roschger A, Wastl A, Hofstaetter J, Wobrauschek P, Simon R, Thaler H, Roschger P, Klaushofer K, Streli C. Spatial distribution of the trace elements zinc, strontium and lead in human bone tissue. Bone. 2013;57:184–93.

    CAS  Google Scholar 

  61. Järup L. Hazards of heavy metal contamination. Brit Med Bull. 2003;68:167–82.

    Google Scholar 

  62. Rabinowitz MB. Toxicokinetics of bone lead. Environ Health Perspec. 1991;91:33–7.

    CAS  Google Scholar 

  63. Specht AJ, Mostafaei F, Lin Y, Xu J, Nie LH. Measurements of strontium levels in human bone in vivo using portable X-ray fluorescence (XRF). Appl Spectros. 2017;71:1962–8.

    CAS  Google Scholar 

  64. Retief F, Cilliers L. Lead poisoning in ancient Rome. Acta Theologica. 2010;2010(26):147–64.

    Google Scholar 

  65. Lanzirotti A, Bianucci R, LeGeros R, Bromage TG, Giuffra V, Ferroglio E, Fornaciari G, Appenzeller O. Assessing heavy metal exposure in Renaissance Europe using synchrotron microbeam techniques. J Archaeol Sci. 2014;52:204–17.

    CAS  Google Scholar 

  66. Eda M, Kodama Y, Ishimaru E, Yoneda M. Lead concentration in archaeological animal remains from the edo period, Japan: is the lead concentration in archaeological goose bone a reliable indicator of domestic birds? Int J Osteoarchaeol. 2013;24:265–71.

    Google Scholar 

  67. Delile H, Blichert-Toft J, Goiran J, Keay S, Albarede F. Lead in ancient Rome’s city waters. Proceed Nat Acad Sci. 2014;2014(111):6594–9.

    Google Scholar 

  68. Scott SR, Shafer MM, Smith KE, Overdier JT, Cunliffe B, Stafford TW, Farrell PM. Elevated lead exposure in Roman occupants of Londinium: new evidence from the archaeological record. Archaeometry. 2019;62:109–29.

    Google Scholar 

  69. Aufderheide AC, Neiman FD, Wittmers LE, Rapp G. Lead in bone II: skeletal-lead content as an indicator of lifetime lead ingestion and the social correlates in an archaeological population. Am J Phys Anthropol. 1981;1981(55):285–91.

    Google Scholar 

  70. Nakashima T, Matsuno K, Matsushita T. Lifestyle-determined gender and hierarchical differences in the lead contamination of bones from a feudal town of the edo period. J Occupa Health. 2007;49:134–9.

    CAS  Google Scholar 

  71. Nakashima T, Matsuno K, Matsushita M, Matsushita T. Severe lead contamination among children of samurai families in Edo period Japan. J Archaeol Sci. 2011;38:23–8.

    Google Scholar 

  72. Wittmers L, Aufderheide A, Pounds J, Jones K, Angel J. Problems in determination of skeletal lead burden in archaeological samples: an example from the First African Baptist Church population. Am J Phys Anthropol. 2008;136:379–86.

    Google Scholar 

  73. Müller K, Chadefaux C, Thomas N, Reiche I. Microbial attack of archaeological bones versus high concentrations of heavy metals in the burial environment. A case study of animal bones from a mediaeval copper workshop in Paris. Palaeogeogr Palaeoclimatol Palaeoecol. 2011;310:39–51.

  74. Giovas CM, Kamenov GD, Fitzpatrick SM, Krigbaum J. Sr and Pb isotopic investigation of mammal introductions: pre-Columbian zoogeographic records from the Lesser Antilles, West Indies. J Archaeol Sci. 2016;69:39–53.

    Google Scholar 

  75. Sauvé S, Hendershot W, Allen HE. Solid-solution partitioning of metals in contaminated soils: dependence on pH, total metal burden, and organic matter. Environ Sci Tech. 2000;34:1125–31.

    Google Scholar 

  76. Angelova M, Asenova S, Nedkova V, Koleva-Kolareva R. Copper in the human organism. Trakia J Sci. 2011;9:88–98.

    Google Scholar 

  77. Bost M, Houdart S, Oberli M, Kalonji E, Huneau JF, Margaritis I. Dietary copper and human health: current evidence and unresolved issues. J Trace Elem Med Biol. 2016;35:107–15.

    CAS  Google Scholar 

  78. Collins JF, Klevay LM. Copper. Adv Nutr. 2011;2:520–2.

    Google Scholar 

  79. Committee on Copper in Drinking Water. Copper in drinking water. Washington: National Research Council; 2000.

    Google Scholar 

  80. Madsen E, Gitlin JD. Copper and iron disorders of the brain. Ann Rev Neurosci. 2007;30:317–37.

    CAS  Google Scholar 

  81. Uauy R, Olivares M, Gonzalez M. Essentiality of copper in humans. Am J Clin Nutr. 1998;67:952S–9S.

    CAS  Google Scholar 

  82. Van den Berghe PV, Klomp LWJ. New developments in the regulation of intestinal copper absorption. Nutr Rev. 2009;67:658–72.

    Google Scholar 

  83. Klevay KN. Is the Western diet adequate in copper? J Trace Elem Med Biol. 2011;25:204–12.

    CAS  Google Scholar 

  84. Medeiros DM. Copper, iron, and selenium dietary deficiencies negatively impact skeletal integrity: a review. Exp Biol Med. 2016;241:1316–22.

    CAS  Google Scholar 

  85. Allmäe R, Limbo-Simovart J, Heapost L, Verš E. The content of chemical elements in archaeological human bones as a source of nutrition research. Papers Anthropol. 2012;21:27–49.

    Google Scholar 

  86. Arrhenius B. Trace element analyses of human skulls. Laborativ Arkeologi. 1990;4:15–9.

    Google Scholar 

  87. Buikstra JE, Frankenberg S, Lambert JB, Xue L. Multiple elements: multiple expectations. In: Price TD, editor. The chemistry of prehistoric human bone. Cambridge: Cambridge University Press; 1989. p. 155–210.

    Google Scholar 

  88. Ezzo JA. Zinc as a paleodietary indicator: an issue of theoretical validity in bone-chemistry analysis. Am Antiquity. 1994;59:606–21.

    Google Scholar 

  89. Schutkowski H, Herrmann B, Wiedemann F, Bocherens H, Grupe G. Diet, status and decomposition at Weingarten: trace element and isotope analyses on early mediaeval skeletal material. J Archaeol Sci. 1999;26:675–85.

    Google Scholar 

  90. Rasmussen KL, Milner GR, Delbey T, Skytte L, Søvsø M, Callesen F, Boldsen JL. Copper exposure in medieval and post-medieval Denmark and northern Germany: its relationship to residence location and social position, 2020. Herit Sci. 2020;8:18.

    Google Scholar 

  91. Reiche I, Favre-Quattropani L, Vignaud C, Bocherens H, Charlet L, Menu M. A multi-analytical study of bone diagenesis: the Neolithic site of Bercy (Paris, France). Measure Sci Tech. 2003;2003(14):1608–19.

    Google Scholar 

  92. Rasmussen KL, Degano I, Colombini MP, Kjeldsen F, van der Plicht J. On the investigation of the supposed bread sack of S. Francesco of Assisi. Radiocarbon. 2017;59:1425–33.

    CAS  Google Scholar 

  93. Torino M. La vita e la morte a Montella (Avellino) tra il 1200 ed il 1400: primi risultati dello studio sui resti umani rinvenuti durante le campagne di scavo nel Convento di S. Francesco a Folloni in Montella. Annali dell’Università Suor Orsola Benincasa. 2012;333–337.

  94. Buikstra JE, Ubelaker DH. Standards for Data Collection from Human Skeletal Remains. In: Proceedings of a Seminar at the Field Museum of Natural History. Research Series 1. Fayetteville, Arkansas Archaeological Survey. 1994.

  95. Milner GR, Boldsen JL. Humeral and femoral head diameters in recent white American skeletons. J Foren Sci. 2012;57:35–40.

    Google Scholar 

  96. Milner GR, Boldsen JL. Transition analysis: a validation study with known-age modern american skeletons. Am J Phys Anthropol. 2012;148:98–110.

    Google Scholar 

  97. Milner GR, Boldsen JL, Ousley SD, Weise S, Getz SM, Tarp P. Improved Adult Age Estimation Using New Skeletal Traits and Transition Analysis. Poster presentation at 85th Meeting in American Anthropological Association, April 12th–16th 2016, Atlanta.

  98. Qin Y, Li H, Yang X, Huang H, Qin Y, Xie Y. Experimental dissolution of lead from bronze vessels and the lead content of human bones from Western Zhou dynasty tombs in Hengshui, Shanxi, China. J Archaeol Sci. 2015;64:22–9.

    CAS  Google Scholar 

  99. Fornaciari G, Ciranni R, Busoni CA, Gamba S, Benedetti E, Mallegni F, Nelli S, Rollo F. Santa Zita di Lucca: malattie, ambiente e società dallo studio di una mummia naturale del XIII sec. Edizione “All’insegna del Giglio”, 2001;1–6.

  100. Pike AWG, Richards MP. Diagenetic arsenic uptake in archaeological bone. Can we really identify copper smelters? J Archaeol Sci. 2002;29:607–11.

    Google Scholar 

  101. Rasmussen KL, Bjerregaard P, Gommesen PH, Jensen OL. Arsenic in Danish and Swedish Mesolithic and Neolithic human bones—diet or diagenesis? J Archaeol Sci. 2009;36:2826–34.

    Google Scholar 

  102. Rasmussen KL, Milner G, Skytte L, Lynnerup N, Thomsen JL, Boldsen JL. Mapping diagenesis in archaeological human bones. Herit Sci. 2019;7:41.

    Google Scholar 

  103. Jensen AJ. Diagenesis in modern, Danish, Burned Pig Bone. EXARC J Digest. 2016;2016:1.

    Google Scholar 

  104. Krajcarz MT. Alteration of the metal content in animal bones after 25-year experimental exposure to sediments. Archaeol Anthropol Sci. 2017;2017(11):361–72.

    Google Scholar 

  105. Brodziak-Dopierala B, Kwapulinski J, Kusz D, Gajda Z, Sobczyk K. Interactions between concentrations of chemical elements in human femoral heads. Arch Environ Contam Toxicol. 2009;57:203–10.

    CAS  Google Scholar 

  106. Kuo HW, Kuo SM, Chou CH, Lee TC. Determination of 14 elements in Taiwanese bones. Sci Total Environ. 2000;255:45–54.

    CAS  Google Scholar 

Download references

Acknowledgements

We are indebted to the VELUX foundation for financial support to the OPHELIA project (32089), the EU Interreg Office for financial support to the project Bones4Culture (10/13122), and to the Det Frie Forskningsråd for Kultur og Kommunikation for financial support to the project TheCityDwellers (6107-00284B). Pia Klingenberg Haussmann is thanked for technical help in the laboratory. Frater Agnello Stoia is thanked for help throughout this project. We would like also to thank Tommaso Iandelli Scorpione, descendent of Bernardino Iannelli, for his help and permission to do the research.

Funding

The present work has been funded by Velux Fonden (VELUX 32089); Det. Frie Forskningsråd (DFF—6107-00284); EU Interreg Office for financial support to the project Bones4Culture (10/13122).

Author information

Authors and Affiliations

  1. Cultural Heritage and Archaeometric Research Team (CHART), Department of Physics, Chemistry and Pharmacy, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark

    Kaare Lund Rasmussen, Thomas Delbey & Lilian Skytte

  2. Geology & Geochemistry Research Cluster, Faculty of Science, Vrije Universiteit, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands

    Paolo d’Imporzano

  3. Pontifical Institute of Christian Archaeology, Via Napoleone III, 1, 00185, Rome, Italy

    Simone Schiavone

  4. Laboratory of Science and Techniques Applied to Archaeology, University Suor Orsola Benincasa, Via Santa Caterina da Siena 37, 80135, Naples, Italy

    Marielva Torino

  5. Abels Allé 82, 5250, Odense SV, Denmark

    Peter Tarp

  6. Vindeby Tværvej 30, 5700, Svendborg, Denmark

    Per Orla Thomsen

Authors
  1. Kaare Lund Rasmussen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Thomas Delbey
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Paolo d’Imporzano
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lilian Skytte
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Simone Schiavone
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Marielva Torino
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Peter Tarp
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Per Orla Thomsen
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Conceived and designed the experiments: KLR. Performed the chemical analyses: PI and LS. Acquired the anthropological data PT and MT. Analysed the data: KLR, TD, LS, and PI. Contributed as leading field archaeologists and with historical references SS, MT, and POT. Contributed to the anthropological and laboratory components of the work, including the interpretation of results and acquisition of references: KLR, TD, PT, SS, MT. Wrote the paper, with comments from other participants: KLR and TD. The paper was approved by all authors. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Kaare Lund Rasmussen.

Ethics declarations

Ethics approval and consent to participate

No permission was required as all sample material was acquired through archaeological excavations.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1.

The elemental concentrations in µg g−1, except Ca which is reported in weight  %, and Hg reported in ng g−1. One standard deviation represents 66% probability. < LOQ mean that the concentration was below the limit of quantification.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rasmussen, K.L., Delbey, T., d’Imporzano, P. et al. Comparison of trace element chemistry in human bones interred in two private chapels attached to Franciscan friaries in Italy and Denmark: an investigation of social stratification in two medieval and post-medieval societies. Herit Sci 8, 65 (2020). https://doi.org/10.1186/s40494-020-00407-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s40494-020-00407-x

Keywords