**Open Journal of Microphysics** Vol.3 No.2(2013), Article ID:31500,5 pages DOI:10.4236/ojm.2013.32005

Checking of XRF Observations with Matrix Terms Involved in Sample Analysis

Nuclear Science Laboratories, Physics Department, Punjabi University, Patiala, India

Email: rmsingla@yahoo.com

Copyright © 2013 Meenakshi Bansal et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received January 2, 2013; revised February 4, 2013; accepted February 11, 2013

**Keywords:** XRF Observations; Matrix Terms; Sample Analysis

ABSTRACT

In X-Ray Fluorescence (XRF) studies of samples, the relative absorption terms for an analyte in a sample with respect to its standard (the analyte itself or its compound) have been empirically related to analyte amount as well as to next enhanced element amount in the sample. The terms along with these empirical relations have been used to cross check the XRF observations for the analysis work. One such an attempt has been made in the present work for bulk measurements on rice saplings and a disparity in observations has been caught.

1. Introduction

X-ray fluorescence has been a powerful analytical tool since the beginning of its application to elemental analysis. The working principle of XRF analysis is the measurement of energy and intensity of the X-rays emitted from the sample. The energies of the emitted X-rays are the characteristic of elements present in the sample and thus provide the knowledge about the composition of sample, hence form the basis of qualitative analysis. Whereas the measurement of the intensities of the X-rays provides information about the concentration of the elements present, thereby forms the basis of quantitative analysis. In XRF analysis of samples, the presence of substrate matrix effects (absorption and enhancement) disturbs the proportionality between the elemental characteristic X-ray intensity and its amount [1-4]. For the correction and compensation of these effects, different analytical methods [5-10] exist in literature. While evaluating the absorption and enhancement terms, Bansal [11] established that the relative absorption and enhancement terms for an analyte in a sample with respect to its standard (the analyte itself or its compound) are related to analyte amount in the sample and its characteristic X-ray counts under the photo peak in each sample and standard spectra respectively. The absorption terms were empirically related to the determined analyte amounts irrespective of its X-ray counts. Similarly, the enhancement terms for the analyte were empirically related, in turn, with the analyte amount and with enhancer amount [12]. For a specific category of substrate, these relations give absorption and enhancement terms direct from the known amounts of analyte and enhancer elements or vice versa i.e. with known absorption and enhancement terms and the amount of enhancer element, the analyte amount can be predicted. Moreover, these empirical relations along with the terms can cross check the XRF observations of the analysis. In the present work, the bulk measurements on rice saplings have been checked following the said procedure for absorption terms.

2. Methodology

In a sample S, if X-rays of an analyte a excite the X-rays of other element c, it causes the absorption of a X-rays and enhancement of c X-rays called matrix effects that disturb the linearity between the analyte X-ray intensity and analyte amount. When S is irradiated with photons i_{a} from a source for selective excitation of a and the resulting a X-rays are counted in a detector (Figure 1), the

Figure 1. Arrangement of source, sample S and detector.

counts “” under the X-ray photo peak of analyte a from the sample can be expressed in terms of basic and the experimental set up parameters as [11]:

(1)

where, the number of incident photons at the sample surface I_{o}, solid angle of target with detector, air absorption correction at emitted (e_{a}) X-ray energies and detector efficiency of detector at emitted X-ray energy are experimental setup parameters. The X-ray production cross-section of a X-rays at incident energy i_{a}, , Avogadro’s number A_{v}_{,} atomic weight of analyte element M_{a} (g) and the factor

(effective thickness),

in terms of absorption coefficients, m’s (cm^{2}/g), of sample S at incident (i_{a}) and emitted (e_{a}) photon energies and sample thickness t (g/cm^{2}) are basic parameters. a is the fractional analyte amount in target material.

In case of symmetrical geometry (θ_{1} = θ_{2} = θ) and for thick samples, the Equation (1) reduces to

(2)

Similarly, if the S is replaced by standard A, a compound of analyte a with its molecular weight M_{A} that comprises n atoms of a and the relation (2) reduces to

(3)

Absorption Effects

Under selective excitation of analyte, a, absorption term of sample, S, relative to that of first standard, A, i.e.

in terms of analyte amount a and X-ray counts under the analyte photo peak in S and A comes as

(4)

where and ^{ }are sum of absorption coefficients for S and A at incident i_{a} and emitted e_{a} photons i.e..

3. Empirical Relations

For empirical relations of matrix terms in rice saplings, the earlier rice sapling measurements [13] for Ca were used in relation (4). In the measurements, material of first standard was CaCO_{3} for Ca detection.

For selective excitation of calcium K X-rays with Ti K X-rays in double reflection set-up [13], the absorption term was evaluated with Equation (4) using the observed counts of analyte (Ca) X-rays and determined amounts of the analyte in different samples of rice saplings. The derived terms were empirically related to the calcium amounts irrespective of their X-ray counts. Judged from the pattern of absorption term variations with determined amounts, different order polynomial fits were tried to find the closeness of generated terms with the actual ones. The polynomial fits in amounts of a_{Ca}

were tried for term to evaluate polynomial relations as

(5)

where Acof_{j}’s are coefficients of fit for absorption terms. For the fit, care was taken that the number of values to be fitted must be greater than the number of Acof_{j}’s that ensured optimization of the coefficients. Moreover, the uniqueness of the relations [14] was checked with different permutations and combinations of a data set so that the same closeness of fitted values with the actual ones was there for each combination.

For the derived relation, the mean absolute percent deviation D_{p} is measure of the analysis error. It was calculated according to the relation

(6)

where C_{i} and are the evaluated and actual weight fractions and C_{im} is the mean of C_{i}’s. The calculated D_{p} values for the relation is also listed in Table 1.

4. Results and Discussion

From the studies of effect of KCl and CaSO_{4} fertilizers

Table 1. Listing of relative absorption terms in selective excitation of Ca, its empirical relation with analyte amounts and mean absolute percent deviation D_{p} in rice saplings.

on the contents of K and Ca in rice plants [13], the data for nine pot samples is considered, where a pot numbered 1 was left untreated. Four pots (numbered 2 - 5) were treated with CaSO_{4} solutions; 50, 100, 150 and 200 mg/200 ml of water. The remaining four pots (numbered 6 - 9) were treated with KCl solutions; 50, 100, 150 and 200 mg of KCl per 200 ml of water.

In the processing for absorption terms for rice saplings, a polynomial in analyte Ca amount with its power varying for p = 1 and q = 2 was found appropriate for the nine sample data. The percentage deviation of fitted values from the actual ones is shown in the Table 2(a). Here the deviation is <10% for most of the samples except for one with fractional analyte amount 0.041, it is 19%. To reduce the overall error, that particular sample was excluded for the polynomial fitting. It was observed (in Table 2(b)) that by excluding the sample, the deviation reduced to a remarkable extent.

To certify these findings, the data on evaluated amounts of potassium in 9 samples [13] were tried for empirical relations of Ca absorption terms with potassium amounts as potassium in rice plants leads to strong absorption of Ca K X-rays. The absorption term ratios and K fractional amounts, b, were found to represent a polynomial with p = 2 and q = 3 for the nine samples (Table 3).

Again a large deviation for the same sample was observed and with exclusion of the data of same troubling sample, the deviation reduces significantly (Tables 4(a) & (b)).

In order to find the reason behind this disparity,

values are plotted against and values (Figure 2). From the plot, the determined value of =

0.041 gives the value of as 1.058. This value of relative absorption term ratio corresponds to value ~0.196 and vice-versa i.e. the determined value 0.197 corresponds to value ~1.058.

Table 2. Comparison of empirically generated relative absorption terms with the actual ones: (a) including data for pot 6 in the fitting data; (b) excluding data for pot 6 in the fitting data; (c) Fit with corrected data (taking into account generated pot 6 values).

Now, if and values are considered to be correct, then there arises some problem in absorption term value. On minute scanning of the earlier calculated values of absorption terms, it is found that in this particular case, its value is quite large and is not matching with other samples’ values which signal to a flaw with the

Table 3. Listing of relative absorption terms for Ca K X-rays, their empirical relations with potassium amounts, b, and mean absolute percent deviation D_{p} in rice saplings.

Figure 2. Plot of relative absorption terms versus concentration a and b in rice saplings.

Table 4. Comparison of empirically generated relative enhancement terms with the actual ones: (a) including data for pot 6 in the fitting data; (b) excluding data for pot 6 in the fitting data; (c) fit with corrected data (taking into account generated pot 6 value).

number of X-ray counts selected under the peak. This shows that with this method of fitting, the disparity in the observations can be combat for.

After rectifying the odd, the generated absorption term ratios for both the cases are found to be within the error < 1%.

5. Acknowledgements

The financial assistance from BRNS, Government of India in the form of project grant (ref No. 2007/37/ 6/BRNS) for this work and from DST in the form of Inspire fellowship to Ms. Kanan Deep is highly acknowledged.

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