Internal verification of a method for the determination of arsenic in waters through its

Authors

  • María Elena López -Vega Centro de Estudio de Química Aplicada. Universidad Central Marta Abreu de Las Villas. Villa Clara, Cuba
  • Surey Ramírez -González Centro de Estudio de Química Aplicada. Universidad Central Marta Abreu de Las Villas. Villa Clara, Cuba
  • Arlettis Más-Ramos Oficina de Regulación y Seguridad Ambiental. CITMA, Villa Clara, Cuba

Keywords:

Arsenic; speciation; verification; waters

Abstract

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.

Downloads

Published

2023-12-18

How to Cite

López -Vega, M. E., Ramírez -González, S., & Más-Ramos, A. (2023). Internal verification of a method for the determination of arsenic in waters through its. Revista Cubana De Química, 35(3), 419–432. Retrieved from https://cubanaquimica.uo.edu.cu/index.php/cq/article/view/5347

Issue

Section

Artículos