Internal verification of a method for the determination of arsenic in waters through its
Keywords:
Arsenic; speciation; verification; watersAbstract
Arsenic speciation in environmental matrices represents a great challenge for developing
countries, requiring the use of easily accessible analytical techniques. Speciation is required,
since As (III) compounds can be up to 10 times more toxic than As (V) compounds. In the
present work the experimental conditions for the quantification by speciation of As (V) and As (III) and phosphates in waters are based, using the spectrophotometric method of ascorbic acid. In this sense, the method was verified, evaluating the parameters of linear performance, precision, detection limit and quantification, verifying that are adequate for the determinations of these analytes. The proposed method was also used for the quantification of As (V) and As (III) in wastewater from a gold extraction process.
References
- FASHOLA M,O, et al. Heavy metal pollution from Gold Mines: Enviromental effects and
bacterial strategies for resistance. Int. J. Environ. Res. Public Health.. 2016, 13 (11), 1047. DOI:
3390/ijerph13111047
-R. TOUJAGUEZ, et al. Arsenic bioaccessibility in gold mine tailings of Delita. Cuba Journal
of Hazardous Materials. 2013, 262, (15), 1004–1013. DOI: 10.1016/j.jhazmat.2013.01.045.
- CERVANTES GUERRA Y, et al. Metales traza en sedimentos de la bahía de Cayo Moa
(Cuba): evaluación preliminar de la contaminación. Minería y Geología. 2011, 27, (4), p. 1-19.
ISSN 1993 8012.
-MORAN HOYNE T, F, et al. Arsenic speciation in canned tuna fish samples (Thunnus) using
ionic chromatography inductively coupled plasma mass spectrometry. Journal of Food
Composition and Analysis. 2023, 116, p.105051 DOI: 10.1016/j.jfca.2022.105051
-YI HE et al. A critical review of on-site inorganic arsenic screening methods. Journal of
Environmental Sciences. 2023, 125, p., 453-469. DOI: 10.1016/j.jes.2022.01.034
-VOLYNKIN S, S, et al. Determination of arsenic species distribution in arsenide tailings and
leakage using geochemical and geophysical methods. applied sciences. 2023, 13 (2), 1067. DOI:
3390/aap13021067
- JOHNSON D. L., PILSON M E.Q. Spectrophotometric determination of arsenite, arsenate,
and phosphate in natural waters. Analytica Chimica Acta. 1972, 58 (2), 289-299. DOI:
1016/S0003-2670(72)80005-9
- HU, S., LU, J. & JING, C. A novel colorimetric method for field arsenic speciation analysis.
Journal of Environmental Sciences. 2012, 24 (7), 1341-1346. DOI:10.1016/S1001-
(11)60922-4
- HARVEY, D. Modern Analytical Chemistry. 1ra Edición. United States of America:.
McGrawHill Higher Education, 2000. ISBN 0-07-237547-7.
- KUTNER, M.H., et al. 2005. Applied Linear Statistical Models. 5ta Edición.New York:
Brent Gordon 2005. ISBN 0-07-238688-6.
-MILLER, J. N. & MILLER, J. C.. Estadística y quimiometría para química analítica. 4ta
Edición, Pearson Educación.S.A.,Madrid, 2002. ISBN:84-205-3514-1
- J. Q. SU; L. J. WEI. A Lack-of-Fit Test for the Mean Function in a Generalized Linear
Model. Journal of the American Statistical Association, 1991. 86(414), 420–426. DOI:
2307/2290587
- ELLISON, S. L., BARWICK, V. J. & FARRANT, T. J. D. 2009. Practical statistics for the
analytical scientist: a bench guide, Royal Society of Chemistry.ISBN:978-1-84755-955-5,
DOI:10.1039/9781847559555
- JURADO, J.M, ALCÁZAR, A., MUÑIZ-VALENCIA, R., CEBALLOS-MAGAÑA, S. &
RAPOSO, F. J. T.. Some practical considerations for linearity assessment of calibration curves as
function of concentration levels according to the fitness-for-purpose approach.Talanta. 2017 Sep
; 172, 221-229.DOI:10.1016/j.talanta.2017.05.049
- AGUILERA RODRÍGUEZ, I., PÉREZ SILVA, R. & MARAÑÓN REYES, A. J. R. C. D.
Q.. Determinación de sulfato por el método turbidimétrico en aguas y aguas residuales.
Validación del método. Revista Cubana de Química. 2010, 22 (3), 39-44. ISSN: 2224-5421.
- OFICINA NACIONAL DE NORMALIZACIÓN. GUÍA PARA LA VALIDACIÓN DE
MÉTODOS DE ENSAYO QUÍMICOS PARA ALIMENTOS NC-TS 368. Ciudad de La
Habana, Cuba: Cuban National Bureau of Standards, 2010.
- PRICHARD, E. & BARWICK, V. 2007. Quality assurance in analytical chemistry, John
Wiley & Sons.ISBN:9780470012031, DOI:10.1002/9780470012031
- KUTNER, M.H., et al. 2005. Applied Linear Statistical Models 5ta Edición. New York:
Brent Gordon 2005. ISBN 0-07-238688-6.
- RAMÍREZ GONZÁLEZ, S., et al. “Determinación de arsénico por el método del azul de
Molibdeno en muestras de aguas provenientes de una planta de procesamiento de minerales
auríferos”. Revista Cubana de Química. 2017, 29 (1), 3-12. ISSN: 2224- 5421.
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