Christine Marie George1, Laura Sima2, M Helena Jahuira Arias3, Jana Mihalic4, Lilia Z Cabrera5, David Danz5, William Checkley1, Robert H Gilman1. 1. Department of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe Street (E5535), Baltimore, MD 21205, United States of America (USA). 2. Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA . 3. Department of Microbiology, Universidad Peruana Cayetano Heredia, Lima, Peru . 4. Department of Plant and Soil Sciences, University of Delaware, Newark, USA . 5. PRISMA, Lima, Peru .
Abstract
OBJECTIVE: To assess the extent of arsenic contamination of groundwater and surface water in Peru and, to evaluate the accuracy of the Arsenic Econo-Quick(™) (EQ) kit for measuring water arsenic concentrations in the field. METHODS: Water samples were collected from 151 water sources in 12 districts of Peru, and arsenic concentrations were measured in the laboratory using inductively-coupled plasma mass spectrometry. The EQ field kit was validated by comparing a subset of 139 water samples analysed by laboratory measurements and the EQ kit. FINDINGS: In 86% (96/111) of the groundwater samples, arsenic exceeded the 10 µg/l arsenic concentration guideline given by the World Health Organization (WHO) for drinking water. In 56% (62/111) of the samples, it exceeded the Bangladeshi threshold of 50 µg/l; the mean concentration being 54.5 µg/l (range: 0.1-93.1). In the Juliaca and Caracoto districts, in 96% (27/28) of groundwater samples arsenic was above the WHO guideline; and in water samples collected from the section of the Rímac river running through Lima, all had arsenic concentrations exceeding the WHO limit. When validated against laboratory values, the EQ kit correctly identified arsenic contamination relative to the guideline in 95% (106/111) of groundwater and in 68% (19/28) of surface water samples. CONCLUSION: In several districts of Peru, drinking water shows widespread arsenic contamination, exceeding the WHO arsenic guideline. This poses a public health threat requiring further investigation and action. For groundwater samples, the EQ kit performed well relative to the WHO arsenic limit and therefore could provide a vital tool for water arsenic surveillance.
OBJECTIVE: To assess the extent of arsenic contamination of groundwater and surface water in Peru and, to evaluate the accuracy of the Arsenic Econo-Quick(™) (EQ) kit for measuring water arsenic concentrations in the field. METHODS: Water samples were collected from 151 water sources in 12 districts of Peru, and arsenic concentrations were measured in the laboratory using inductively-coupled plasma mass spectrometry. The EQ field kit was validated by comparing a subset of 139 water samples analysed by laboratory measurements and the EQ kit. FINDINGS: In 86% (96/111) of the groundwater samples, arsenic exceeded the 10 µg/l arsenic concentration guideline given by the World Health Organization (WHO) for drinking water. In 56% (62/111) of the samples, it exceeded the Bangladeshi threshold of 50 µg/l; the mean concentration being 54.5 µg/l (range: 0.1-93.1). In the Juliaca and Caracoto districts, in 96% (27/28) of groundwater samples arsenic was above the WHO guideline; and in water samples collected from the section of the Rímac river running through Lima, all had arsenic concentrations exceeding the WHO limit. When validated against laboratory values, the EQ kit correctly identified arsenic contamination relative to the guideline in 95% (106/111) of groundwater and in 68% (19/28) of surface water samples. CONCLUSION: In several districts of Peru, drinking water shows widespread arsenic contamination, exceeding the WHO arsenic guideline. This poses a public health threat requiring further investigation and action. For groundwater samples, the EQ kit performed well relative to the WHO arsenic limit and therefore could provide a vital tool for water arsenic surveillance.
Authors: A Van Geen; Z Cheng; A A Seddique; M A Hoque; A Gelman; J H Graziano; H Ahsan; F Parvez; K M Ahmed Journal: Environ Sci Technol Date: 2005-01-01 Impact factor: 9.028
Authors: Robert O Wright; Chitra Amarasiriwardena; Alan D Woolf; Rebecca Jim; David C Bellinger Journal: Neurotoxicology Date: 2005-11-28 Impact factor: 4.294
Authors: M A José Medrano; Raquel Boix; Roberto Pastor-Barriuso; Margarita Palau; Javier Damián; Rebeca Ramis; José Luis Del Barrio; Ana Navas-Acien Journal: Environ Res Date: 2009-10-31 Impact factor: 6.498
Authors: Alexander van Geen; Carolina Bravo; Vladimir Gil; Shaky Sherpa; Darby Jack Journal: Bull World Health Organ Date: 2012-10-10 Impact factor: 9.408
Authors: Christine Marie George; Yan Zheng; Joseph H Graziano; Shahriar Bin Rasul; Zakir Hossain; Jacob L Mey; Alexander van Geen Journal: Environ Sci Technol Date: 2012-09-25 Impact factor: 9.028
Authors: Marisa F Naujokas; Beth Anderson; Habibul Ahsan; H Vasken Aposhian; Joseph H Graziano; Claudia Thompson; William A Suk Journal: Environ Health Perspect Date: 2013-01-03 Impact factor: 9.031
Authors: Gustavo F Gonzales; Alisson Zevallos; Cynthia Gonzales-Castañeda; Denisse Nuñez; Carmen Gastañaga; César Cabezas; Luke Naeher; Karen Levy; Kyle Steenland Journal: Rev Peru Med Exp Salud Publica Date: 2014 Jul-Sep
Authors: Gauri Desai; Gabriel Barg; Elena I Queirolo; Marie Vahter; Fabiana Peregalli; Nelly Mañay; Katarzyna Kordas Journal: Environ Res Date: 2018-02-24 Impact factor: 6.498
Authors: Gauri Desai; Gabriel Barg; Marie Vahter; Elena I Queirolo; Fabiana Peregalli; Nelly Mañay; Amy E Millen; Jihnhee Yu; Richard W Browne; Katarzyna Kordas Journal: Int J Hyg Environ Health Date: 2019-10-03 Impact factor: 5.840
Authors: Diego Fano; Cinthya Vásquez-Velásquez; Julio Aguilar; Matthew O Gribble; Jeffrey K Wickliffe; Maureen Y Lichtveld; Kyle Steenland; Gustavo F Gonzales Journal: Expo Health Date: 2019-12-07 Impact factor: 8.835