TXRF quantification of interfering heavy metals using deconvolution, cross‐correlation, and external standard calibration

Santibáñez, M.; Bennun, Leonardo; Marcó-Parra, L. M.

doi:10.1002/xrs.2501

Cited by 11 publications

(9 citation statements)

References 31 publications

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“…But, once the peaks are properly identified, then the complete spectrum can be analyzed using characteristic functions. 20 That is, to each element a perfectly defined sequence of data Fi (obtained in special conditions 21,22 can be assigned (see Appendix II). Then, a weighted smoothing method can be proposed, as: …”

Section: Theoreticalmentioning

confidence: 99%

A Pragmatic Smoothing Method for Improving the Quality of the Results in Atomic Spectroscopy

Bennun

2017

Appl Spectrosc

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A new smoothing method for improvement on the quantification of spectral signals, which requires the previous knowledge of the functions that should be quantified, is presented. These functions are used as weighted coefficients in the proposed smoothing algorithm. This method is extremely effective in reducing the scatter of signals obtained by the multichannel analyzer and it could be applied in atomic and nuclear spectroscopies, preferably to these techniques where net counts are a linear function of the acquisition time, like total reflection X-ray fluorescence, micro X-ray fluorescence, etc. If this algorithm is properly applied, it does not distort the form or the intensity of the signal, so it is well suited for use in all kinds of spectroscopic techniques. However, it should not be applied to data obtained from systems depending on time, e.g., control sciences, time series, sound analysis, etc. We applied this method over simulated data and real experimental measurements. As with all smoothing techniques, the proposed method improves the precision of the results, but when it was applied to computer-simulated spectra, we found a systematic enhancement on the accuracy of the results. We still do not have an answer for this apparent paradox. We also have to evaluate, in spectral analysis, the improvement produced by this smoothing procedure over detection and quantification limits. When this algorithm is applied over experimental results, it is mandatory that the sought characteristic functions, required for this weighted smoothing method, should be obtained from a system with strong stability. If the sought signals are not perfectly clean, this method should be applied with care.

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Section: Theoreticalmentioning

confidence: 99%

A Pragmatic Smoothing Method for Improving the Quality of the Results in Atomic Spectroscopy

Bennun

2017

Appl Spectrosc

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“…This parameter is a function of the element's concentration, the analyzed array, and exposure time. One of the most applied definitions is given by Eqn :

L D = 3 \frac{\sqrt{B_{g r}}}{I_{i}} C i

…”

Section: Theoretical Foundationsmentioning

confidence: 99%

“…This study enquires into MDT to generate a XRF image that complies with the ALARA principle, as a function of the concentration of chemical elements of great biomedical interest, such as Fe, Cu, and Pb present in bone and soft tissue equivalents. Some of those elements have been studied extensively through diverse XRF techniques, for its ease of being found in bone samples, given its biokinetics and because the lead in high concentration can be harmful for health. For that reason, the EDXRF technique can help to obtain information regarding these concentrations and the MDT is required for EDXRF imaging with the lowest exposure time.…”

Section: Introductionmentioning

confidence: 99%

Minimum detection time (MDT) for elemental EDXRF images

2015

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When obtaining a chemical element image through energy dispersive X‐ray fluorescence (EDXRF) scanning of a specific sample, it is important to determine the minimum detection time (MDT) required per dot (pixel) and per element in order to identify the minority and the trace elements present in the sample. Starting from the statistical criteria of limit of detection, quantitative estimations can be made regarding the concentration of elements present in the samples, determining the MDT which fits to the limit of detection previously established. Given that with this technique it is possible to implement in vivo applications, in this work, a process was developed for the MDT that is capable of generating the minimum radiation exposure in imaging EDXRF. For this proposal, the MDT is determined for metals, such as Fe, Cu, and Pb, given their great biomedical interest, in a series of equivalent bone and soft tissue phantom samples. Consequently, a criteria for global scanning time per dot was established, hence providing an elemental XRF image according to the As Low As Reasonably Achievable principles, i.e. as low an exposure as reasonably possible for each sample type studied by this sort of devices, in order to obtain appropriate information for each field of application. Copyright © 2015 John Wiley & Sons, Ltd.

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“…A typical problem in the detection and quantification of those elements in TXRF is the overlap in the fluorescence signals (arsenic K and lead L lines) that affect negatively the quality of the results. This problem has enhanced the optimization of analysis and handling of data, to improve the results and resolve this overlapping …”

Section: Introductionmentioning

confidence: 99%

A procedure for overlapping deconvolution and the determination of its confidence interval for arsenic and lead signals in TXRF spectral analysis

et al. 2013

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We studied the applicability and validity range of a mathematical procedure on the basis of the principia of maximum likelihood for the identification and quantification of arsenic and lead. This procedure has showed to be appropriate for analyzing two or more signals that interfere with each other or for the quantification of a small signal in a very noisy environment, but a complete study of determination of its confidence interval in samples in which one element in the overlap is present in a concentration lower than the other elements was not studied previously. The identification implemented provides very exact values of relative concentrations for cases that are difficult to process using other adjustment methods. The proposed procedure is applied to experimental cases, analyzing liquid solutions through total reflection X‐ray fluorescence to determine a range of concentrations for the detection of traces of arsenic signals in the presence of large lead interfering signals and vice versa. Copyright © 2013 John Wiley & Sons, Ltd.

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TXRF quantification of interfering heavy metals using deconvolution, cross‐correlation, and external standard calibration

Cited by 11 publications

References 31 publications

A Pragmatic Smoothing Method for Improving the Quality of the Results in Atomic Spectroscopy

A Pragmatic Smoothing Method for Improving the Quality of the Results in Atomic Spectroscopy

Minimum detection time (MDT) for elemental EDXRF images

A procedure for overlapping deconvolution and the determination of its confidence interval for arsenic and lead signals in TXRF spectral analysis

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