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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Use of multiple lines for improving accuracy, minimizing systematic errors from spectral interferences, and reducing matrix effects in MIP OES measurements

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Author(s):
Oliveira, Aline F. [1] ; Gonzalez, Mario Henrique [2] ; Nogueira, Ana Rita A. [3]
Total Authors: 3
Affiliation:
[1] Univ Fed Sao Carlos, Dept Chem, Grp Appl Instrumental Anal, BR-13565905 Sao Carlos, SP - Brazil
[2] Univ Sao Paulo State, BR-15054000 Sao Jose Do Rio Preto, SP - Brazil
[3] Embrapa Pecuaria Sudeste, BR-13560970 Sao Carlos, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: Microchemical Journal; v. 143, p. 326-330, DEC 2018.
Web of Science Citations: 3
Abstract

Bismuth-based medicines, which are generally available without prescription, are used for a variety of purposes including stomach relief, diarrhea, and cold sores. The determination of Bi in these types of medicines using MIP OES is considered easy, due to the relatively high concentrations of this element. However, high dilution factors can lead to systematic errors and thus low precision. Furthermore, the drugs, excipients, and other active pharmaceutical ingredients (APIs) present in these products can cause spectral and matrix interferences. The present study evaluates the use of multiple spectral lines as a strategy to avoid analytical difficulties. For comparative purposes, hydride generation and standard additions techniques were also evaluated. The results demonstrated the feasibility of using the sum of the intensities of multiple lines to improve accuracy, minimizing systematic errors from spectral interferences and matrix effects, employing simple calculations in a data spreadsheet. The accuracies, calculated based on labeled values, varied from 89.2 to 98.8% and from 72.2 to 124% for direct analysis without and with standard additions, respectively, from 73.2 to 114% for hydride generation, and from 89.8 to 101% for the multiple lines sum method. (AU)

FAPESP's process: 17/18531-3 - Green analytical chemistry: from sample preparation to trace element determinations by inductively coupled plasma mass spectrometry (ICP-MS)
Grantee:Mario Henrique Gonzalez
Support Opportunities: Regular Research Grants