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For: Lace A, Ryan D, Bowkett M, Cleary J. Arsenic Monitoring in Water by Colorimetry Using an Optimized Leucomalachite Green Method. Molecules 2019;24:E339. [PMID: 30669352 PMCID: PMC6359460 DOI: 10.3390/molecules24020339] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 01/11/2019] [Accepted: 01/16/2019] [Indexed: 11/30/2022]  Open
Number Cited by Other Article(s)
1
Manring N, Strini M, Koifman G, Xavier J, Smeltz JL, Pathirathna P. Ultrafast Detection of Arsenic Using Carbon-Fiber Microelectrodes and Fast-Scan Cyclic Voltammetry. MICROMACHINES 2024;15:733. [PMID: 38930703 PMCID: PMC11205817 DOI: 10.3390/mi15060733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 05/19/2024] [Accepted: 05/28/2024] [Indexed: 06/28/2024]
2
Kumar S, Singh P, Verma SK. Selection of Highly Specific DNA Aptamer for the Development of QCM-Based Arsenic Sensor. Chembiochem 2023;24:e202300585. [PMID: 37792297 DOI: 10.1002/cbic.202300585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 10/03/2023] [Indexed: 10/05/2023]
3
Arik N, Elcin E, Tezcaner A, Oktem HA. Biosensing of arsenic by whole-cell bacterial bioreporter immobilized on polycaprolactone (PCL) electrospun fiber. ENVIRONMENTAL TECHNOLOGY 2023:1-13. [PMID: 37965791 DOI: 10.1080/09593330.2023.2283405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 09/19/2023] [Indexed: 11/16/2023]
4
Zhou H, Ling H, Li Y, Jiang X, Cheng S, Zubeir GM, Xia Y, Qin X, Zhang J, Zou Z, Chen C. Downregulation of beclin 1 restores arsenite-induced impaired autophagic flux by improving the lysosomal function in the brain. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022;229:113066. [PMID: 34929507 DOI: 10.1016/j.ecoenv.2021.113066] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 12/03/2021] [Accepted: 12/05/2021] [Indexed: 06/14/2023]
5
A Review of Microfluidic Detection Strategies for Heavy Metals in Water. CHEMOSENSORS 2021. [DOI: 10.3390/chemosensors9040060] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
6
Sciuto EL, Petralia S, van der Meer JR, Conoci S. Miniaturized electrochemical biosensor based on whole-cell for heavy metal ions detection in water. Biotechnol Bioeng 2021;118:1456-1465. [PMID: 33289093 DOI: 10.1002/bit.27646] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 10/31/2020] [Accepted: 11/19/2020] [Indexed: 01/18/2023]
7
Thakkar S, Dumée LF, Gupta M, Singh BR, Yang W. Nano-Enabled sensors for detection of arsenic in water. WATER RESEARCH 2021;188:116538. [PMID: 33125993 DOI: 10.1016/j.watres.2020.116538] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 10/13/2020] [Accepted: 10/18/2020] [Indexed: 05/10/2023]
8
Michel C, Joulian C, Tris H, Charnois F, Battaglia-Brunet F. Rapid and simple As(III) quantification using a turbidimetric test for the monitoring of microbial arsenic bio-transformation. J Microbiol Methods 2020;177:106026. [PMID: 32795641 DOI: 10.1016/j.mimet.2020.106026] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 08/03/2020] [Accepted: 08/03/2020] [Indexed: 10/23/2022]
9
Choodum A, Jirapattanasophon V, Boonkanon C, Taweekarn T, Wongniramaikul W. Difluoroboron-Curcumin Doped Starch Film and Digital Image Colorimetry for Semi-Quantitative Analysis of Arsenic. ANAL SCI 2020;36:577-582. [PMID: 32201405 DOI: 10.2116/analsci.19sbp09] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
10
Babar NUA, Joya KS, Tayyab MA, Ashiq MN, Sohail M. Highly Sensitive and Selective Detection of Arsenic Using Electrogenerated Nanotextured Gold Assemblage. ACS OMEGA 2019;4:13645-13657. [PMID: 31497682 PMCID: PMC6714603 DOI: 10.1021/acsomega.9b00807] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Accepted: 07/17/2019] [Indexed: 05/05/2023]
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