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Ganneru S, Seetha BS, Mudiam MKR. A green deep eutectic solvent based dispersive liquid-liquid microextraction for the quantitative analysis of 21 polychlorinated biphenyl metabolites in food of animal origin using injector port silylation-gas chromatography-tandem mass spectrometry. J Chromatogr A 2023; 1708:464338. [PMID: 37703765 DOI: 10.1016/j.chroma.2023.464338] [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: 07/18/2023] [Revised: 08/24/2023] [Accepted: 08/27/2023] [Indexed: 09/15/2023]
Abstract
An analytical method was developed for the quantitative determination of 21 polychlorinated biphenyls (PCBs) metabolites (17 were -OH, 1 -MeO, and 3 were MeSO2) in foods of animal origin using deep eutectic solvent (DES) based dispersive liquid-liquid microextraction followed by injector port silylation-gas chromatography-tandem mass spectrometry. The type of DES (thymol: camphor, 1:1 molar ratio) and optimum volume of DES (300 µL), pH (7.0), and disperser solvent (acetonitrile) were optimized to attain the maximum extraction efficiency. The limit of detection, limit of quantification, and percent recovery were found to be in the range of 0.12-0.23 ng/mL, 0.40-0.76 ng/mL, and 80.1-111.4%, respectively. The expanded uncertainty was observed to be in the range of 7.2-22.8% for the targeted analytes. The proposed method was applied to real food samples (milk, meat, fish, and egg) and the levels were found to be in the range of 0.64-32.14 ng/g. This is first of its kind method using green solvent based method for the analysis of PCB metabolites (-OH, MeO, and MeSO2) and will find extensive application in routine testing for foods of animal origin.
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Affiliation(s)
- Sireesha Ganneru
- Analytical and Structural Chemistry Department, CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad, 500007, India
| | - Bala Subrahanyam Seetha
- Analytical and Structural Chemistry Department, CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad, 500007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Mohana Krishna Reddy Mudiam
- Analytical and Structural Chemistry Department, CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad, 500007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Analytical Division, Institute of Pesticide Formulation Technology (IPFT), Sector-20, Udyog Vihar, Gurugram 122016, Haryana, India.
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Deng F, Pan J, Chen M, Liu Z, Chen J, Liu C. Integrating CRISPR-Cas12a with catalytic hairpin assembly as a logic gate biosensing platform for the detection of polychlorinated biphenyls in water samples. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 881:163465. [PMID: 37068691 DOI: 10.1016/j.scitotenv.2023.163465] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/23/2023] [Accepted: 04/08/2023] [Indexed: 06/01/2023]
Abstract
Polychlorinated biphenyls (PCBs) are ubiquitous persistent organic pollutants that cause harmful effects on environmental safety and human health. There is an urgent need to develop an intelligent method for PCBs sensing. In this work, we proposed a logic gate biosensing platform for simultaneous detection of multiple PCBs. 2,3',5,5'-tetrachlorobiphenyl (PCB72) and 3,3',4,4'-tetrachlorobiphenyl (PCB77) were used as the two inputs to construct biocomputing logic gates. We used 0 and 1 to encode the inputs and outputs. The aptamer was used to recognize the inputs and release the trigger DNA. A catalytic hairpin assembly (CHA) module is designed to convert and amplify each trigger DNA into multiple programmable DNA duplexes, which initiate the trans-cleavage activity of CRISPR/Cas12a for the signal output. The activated Cas12 cleaves the BHQ-Cy5 modified single-stranded DNA (ssDNA) to yield the fluorescence reporting signals. In the YES logic gate, PCB72 was used as the only input to carry out the logic operation. In the OR, AND, and INHIBIT logic gates, PCB72 and PCB77 were used as the two inputs. The output signals can be visualized by the naked eye under UV light transilluminators or quantified by a microplate reader. Our constructed biosensing platform possesses the merits of multiple combinations of inputs, intuitive digital output, and high flexibility and scalability, which holds great promise for the intelligent detection of different PCBs.
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Affiliation(s)
- Fang Deng
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410128, China; National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Institute of Eco-environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China
| | - Jiafeng Pan
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410128, China; National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Institute of Eco-environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China
| | - Manjia Chen
- National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Institute of Eco-environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
| | - Zhi Liu
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410128, China.
| | - Junhua Chen
- National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Institute of Eco-environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China.
| | - Chengshuai Liu
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China; State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
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Zhang CY, Li X, Keil Stietz KP, Sethi S, Yang W, Marek RF, Ding X, Lein PJ, Hornbuckle KC, Lehmler HJ. Rebuttal to Correspondence on "Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples". ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:6251-6252. [PMID: 37017328 PMCID: PMC10518181 DOI: 10.1021/acs.est.3c01659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Affiliation(s)
- Chun-Yun Zhang
- Department of Occupational and Environmental Health, The University of Iowa, Iowa City, Iowa 52242, United States
| | - Xueshu Li
- Department of Occupational and Environmental Health, The University of Iowa, Iowa City, Iowa 52242, United States
| | - Kimberly P Keil Stietz
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, California 95616, United States
| | - Sunjay Sethi
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, California 95616, United States
| | - Weizhu Yang
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Arizona, Tucson, Arizona 85721, United States
| | - Rachel F Marek
- Department of Civil and Environmental Engineering and IIHR Hydroscience and Engineering, The University of Iowa, Iowa City, Iowa 52242, United States
| | - Xinxin Ding
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Arizona, Tucson, Arizona 85721, United States
| | - Pamela J Lein
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, California 95616, United States
| | - Keri C Hornbuckle
- Department of Civil and Environmental Engineering and IIHR Hydroscience and Engineering, The University of Iowa, Iowa City, Iowa 52242, United States
| | - Hans-Joachim Lehmler
- Department of Occupational and Environmental Health, The University of Iowa, Iowa City, Iowa 52242, United States
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Ziegler P, Quinete N, Bertram J, Randerath I, Kraus T, Schettgen T. Correspondence on "Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples". ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:6248-6250. [PMID: 37017335 DOI: 10.1021/acs.est.3c00660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Affiliation(s)
- P Ziegler
- Institute for Occupational, Social and Environmental Medicine, Medical Faculty, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany
| | - N Quinete
- Department of Chemistry and Biochemistry, Institute of Environment, Florida International University, 3000 NE 151st Street, North Miami, Florida 33181, United States
| | - J Bertram
- Institute for Occupational, Social and Environmental Medicine, Medical Faculty, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany
| | - I Randerath
- Institute for Occupational, Social and Environmental Medicine, Medical Faculty, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany
| | - T Kraus
- Institute for Occupational, Social and Environmental Medicine, Medical Faculty, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany
| | - T Schettgen
- Institute for Occupational, Social and Environmental Medicine, Medical Faculty, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany
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