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research papers
Determination of the distribution of trace elements in human hair as a function of the position on the head by SRXRF AND TXRF†
aInstitute of Inorganic Chemistry, SB RAS, Novosibirsk 630090, Russia, bNovosibirsk State University, Novosibirsk 630090, Russia, and cBudker Institute of Nuclear Physics, SB RAS, Novosibirsk 630090, Russia
*Correspondence e-mail: trunova@inp.nsk.su
On reviewing the data in the literature it is obvious that the differences in the concentrations of certain special elements in human hair for a various number of people are too large to be used as standards or deviations from standards for determining the trace-elemental composition of hair. New questions have arisen with the publication of non-compatible data. What is the distribution of elements on the donor's head area? What is the character of this distribution? Is the distribution function identical for all elements? Hair samples were taken from five points on the heads of six people. The hair samples were analysed using the method of
excited by synchrotron radiation (SRXRF), and the results were compared with those from a similar sample analysed using the method of total reflection (TXRF). Elements which show a constant concentration all over the head are identified.Keywords: SRXRF analysis; TXRF analysis; trace elements; human hair analysis.
1. Introduction
The total technogenic load of an organism can be determined from the heavy metal concentration in human or animal samples (blood, urine, hair, bone, teeth, breast milk). Human hair from the head is one of the most easily accessible samples. As a diagnostic material, hair differs from the other materials in that its sampling is simple and almost non-destructive. Hair carries information on the composition of microelements at the time before sampling. Examination of this composition is currently widely applied, as illustrated in numerous papers and books (e.g. Hambidge & Am, 1982; Bos et al., 1985
; Zhuk & Kist, 1990
; Steindel & Howanitz, 2001
; Spyrou et al., 2002
). The results of chemical analyses of hair have raised many doubts and scepticism. The data obtained by different authors differ over a wide range (Steindel & Howanitz, 2001
). Currently, information is given of the inclusion of trace elements in the hair matrix. Five sources of microelements are known for human hair: matrix, skin fat, sweat, epidermis and exogenic sources (Bos et al., 1985
). The aim of many papers examining the elemental composition of hair is a correlation to the composition of trace elements in other tissues (Attar Khudre et al., 1990
; Zhuk & Kist, 1990
). Kruse-Jarres (2000
) concludes that `confidence in the accuracy of hair analyses and their interpretation for appropriate clinical application is still markedly lacking. Studies have shown that there is no correlation between trace-element concentrations in hair and those in blood or other relevant organs such as liver, muscle or bone. Thus, hair analyses are unsuitable for the detection of clinically relevant deficiencies of essential trace elements in human organisms'. The basic problem of clinical examinations is the lack of distinct knowledge of a standard trace-element concentration (Hambidge & Am, 1982
). On reviewing the data in the literature it is obvious that the differences in concentrations of certain special elements in human hair for a various number of people (different nationality, age, pathology) are too large to be used as standards or deviations from standards for the trace-elemental composition of hair. For example, for Mn a range of 0.02–6.14 mg kg−1 is given for a group of students (n = 20), and Cu shows a range of 2.3–44.1 mg kg−1. Furthermore, for people with breast cancer (n = 28) the ranges are 0.1–1.5 mg kg−1 for Mn and 9–62 mg kg−1 for Cu (Spyrou et al., 2002
).
The literature data are mostly derived from analytical methods such as ICP-MS or AAS. As claimed by Bass et al. (2001), ICP-MS is the most valuable technique for ultratrace and multielemental analysis of human hair, which is confirmed by the analytical studies.
The arguments given above show that such analyses are generally performed in order to obtain precise results for the concentration of trace elements in human hair. Furthermore, the correlation of the trace-elemental composition in hair and in other organs seems to be of interest (Kruse-Jarres, 2000). Usually in the references the sampling point of the analysed hair is not given; therefore no results are available for the distribution of the elements over the area on the head. The present paper aims to supply answers to these open points. It is important to differentiate the elements from the point of constant or not-constant concentration all over the area.
For the analysis,
excited by synchrotron radiation (SRXRF) was used. Additionally, a comparison is given for results obtained for the same samples using SRXRF and using total reflection (TXRF).2. Materials and methods
2.1. Sampling
For the SRXRF measurements, sampling of clean hair (just after washing the head) was performed without any treatment. The hair was cut near to the skin of the head, i.e. so that the bulb of the hair was not included. The samples were taken at the same points on the head of each of the six donors. The sampling points were the top (crown of the head), behind the left and right ear, and the left and right temple. Each sample was washed in acetone. The hair was cut 1.5–2 cm from the root, ground in an agate mortar, and pounded (20–25 mg). The sample for the measurement, a pressed pellet of diameter 8 mm, could be measured repeatedly.
For the TXRF measurements, the hair samples included the bulb of the root. Eight to 10 strands of about 1 mg were pulled out with the roots and dissolved in 100 µL concentrated HNO3 with an internal vanadium standard added.
Although the samples were taken for both methods at the same time and at the same point, the samples are not identical.
2.2. Methods
SRXRF is an instrumental, multielemental, non-destructive analytical method which uses synchrotron radiation as the e.g. the presence of all trace components at a given energy of irradiation. A stepwise changing of the makes it possible to improve the lower (LLD). To our knowledge this is only possible using SRXRF.
source. This method has some advantages. The pellet prepared for SRXRF can be measured repeatedly and can be stored for a sample collection. This method gives a total spectral picture of the sample,The fluorescence radiation was measured on the XRF beamline of VEPP-3 (E = 2 GeV, I = 100 mA), Institute of Nuclear Physics, Novosibirsk, Russia (Trounova et al., 1998). For quality control an international hair reference standard from Japan was used (NIES No.5).
The parameters of the SRXRF station are as follows:
3–46 keV; detector, Si(Li); detector energy resolution, 150 eV; exposure time, 100–1500 s; detected elements, S, Cl, K, Ca, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ga, As, Se, Br, Rb, Y, Sr, Mo, Nb, Zr, I, Sn, Sb, Ba, La, Ce, Nd, Pr and Pb. In this work an of 17 keV has been used.For TXRF analysis [a multielemental method which is useful for samples of very low mass (<1 mg)] a sample pre-treatment is necessary (Klockenkämper, 1997). The measurements were performed using the TXRF 8030C spectrometer supplied by ATOMIKA Instruments (Oberschleisheim, Germany). Quantification was performed by internal standardization. In our case V was used as an internal standard. These measurements were carried out at GKSS, Geesthacht, Germany.
Table 1 shows the metrological characterizations of SRXRF and TXRF. The standard deviation, relative standard deviation and lower limits of detection (LLD) were calculated using the following equations,
where S is the standard deviation, Sr is the relative standard deviation, CLLD is the minimal detectable concentration, C is the concentration of the element in the sample, Nbg is the integral area of the background and Np is the integral area of the signal (net or gross).
|
The accuracy of the SRXRF method was calculated by simultaneous measurements of standards with similar matrices.
For determination of accurate data in the TXRF measurements the conditions were selected such that the concentrations of trace elements in the samples were in the same range as in the standard.
3. Results and discussions
Fig. 1 shows six diagrams which characterise the distribution of 20 trace elements from samples taken at five points from the heads of six people (the ordinate is given on a logarithmic scale). Persons 1, 2 and 3 are female, and 4, 5 and 6 are male. The numbers for the concentrations in the individual samples are given in Table 2
. The abbreviations are as follows: 1le = sample number 1, left ear; 1re = right ear; 1lt = left temple; 1rt = right temple; 1top = crown of the head. The content of Hg was at the level of LLD and so is not given in Table 2
.
|
![]() | Figure 1 The distribution of 20 trace elements at five points from the heads of six people (1, 2, 3 female; 4, 5, 6 male). |
At first sight all six diagrams show the same character for the distributions of 20 trace elements. Looking at each diagram more closely, however, reveals a non-identical behaviour. The elements detected in this experiment can be separated into three groups.
The first group of elements can be characterized by a concentration deviation of a factor of five at the different points on the head of a person, e.g. Cl, K, Cr, Mn, Fe, Rb and Pb. For the elements Cl, K, Cr and Pb the relative standard deviation (Sr) is relatively high; nevertheless, the distributions of the results at the various sampling points exceed Sr. The uneven distribution of Fe is explained by Bos et al. (1985) with individual physiological characteristics of the person (injury cuticle of hair and sebaceous glands). It is outlined in the same paper that the main contribution of Pb is of exogenic character, which is precipitated on the surface of the hair and diffuse inside afterwards.
The second group is characterized by elements which differ in concentration at the different points on the head of a person by a factor of less than two, e.g. Ca, Sc, Ni, Br and Sr (see Tables 1 and 2
). The variation of the concentrations of Ca and Sr correlates for all samples. This special behaviour of Ca and Sr was shown in the literature for a large number of people (Trounova et al., 2002
).
The third group can be characterized by elements whose concentrations differ in the range of the relative standard deviation, e.g. S, Ti, Co, Cu, Zn, Ga and Se. For nearly all sampling points the concentrations of these elements tend to a constant value.
Fig. 2 shows SRXRF and TXRF results of hair samples from different places on the head from one person (mg kg−1). As the ordinate is given on a logarithmic scale the concentration of Se was multiplied by ten. Two samples were taken from the right-hand and left-hand side of each head. The samples were collected from the temple and from behind the ears.
![]() | Figure 2 SRXRF and TXRF results of hair samples at four points from the heads of one person (Se/10). |
For all four examples it can be stated that some elements (Ni, Cu, Zn, Se and Br) behave more constantly than others (K, Fe and Sr). It is important to note that the samples for both methods were taken at one point and at the same time but they are not identical. However, the results for the elements Ni, Cu, Zn, Se and Br are identical for both methods within the limits of error. For the other elements, K, Fe and Sr, there are more serious deviations.
All these diagrams show identical results, within the experimental uncertainties, obtained using both methods. The behaviour of the trace elements for the different sampling points described above is confirmed. Namely, the content of Ni, Cu, Zn, Se and Br is practically constant although the samples are not identical. In contrast, the concentrations of the elements K, Fe and Sr vary, as shown in Fig. 1 and Table 2
.
4. Conclusions
As was outlined above, the concentrations of microelements in hair given in the current literature (Spyrou et al., 2002) vary by several orders of magnitude for an individual element. There is almost no information on the distribution of traces elements on the area of a head.
We have shown that the behaviour of the trace elements in these areas is not identical. Groups of elements were identified with low variation in concentration with a tendency to a constant value for each individual donor, i.e. variation in concentration does not exceed the maximum metering error. In particular, this group of elements can be taken for characterising the state of health of an individual. The other measured elements cannot provide objective information usable for diagnosis.
Comparison of the results using the two methods confirms the existence of a group of elements which characterise a person by their practically constant value.
It is well known that Cu, Zn and Se are analyzed in tissue for diagnosis. These elements are essential for the human organism; they are closely bound to the human immune system. Sulfur reacts on the human metabolism.
In human hair samples, 20 trace elements were determined, i.e. S, Cl, K, Ca, Sc, Ti, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ga, Se, Br, Rb, Sr, Hg and Pb. However, reliable information on the content of trace elements for a given person can only be obtained from the elements S, Ti, Co, Cu, Zn, Ga and Se at any points.
Footnotes
†Presented at the `XIV Russian Synchrotron Radiation Conference SR2002', held at Novosibirsk, Russia, on 15–19 July 2002.
Acknowledgements
One of us (Valentina Trunova) would like to thank B. Neidhart, A. Prange, S. Griesel and H. B. Erbslöh, GKSS, Geesthacht, Germany, for financial support and various help during the stay.
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