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Vergnes A, Becam J, Loiseau L, Ezraty B. Engineering of a Bacterial Biosensor for the Detection of Chlorate in Food. BIOSENSORS 2023; 13:629. [PMID: 37366994 DOI: 10.3390/bios13060629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 05/30/2023] [Accepted: 06/02/2023] [Indexed: 06/28/2023]
Abstract
Chlorate can contaminate food due to the use of chlorinated water for processing or equipment disinfection. Chronic exposure to chlorate in food and drinking water is a potential health concern. The current methods for detecting chlorate in liquids and foods are expensive and not easily accessible to all laboratories, highlighting an urgent need for a simple and cost-effective method. The discovery of the adaptation mechanism of Escherichia coli to chlorate stress, which involves the production of the periplasmic Methionine Sulfoxide Reductase (MsrP), prompted us to use an E. coli strain with an msrP-lacZ fusion as a biosensor for detecting chlorate. Our study aimed to optimize the bacterial biosensor's sensitivity and efficiency to detect chlorate in various food samples using synthetic biology and adapted growth conditions. Our results demonstrate successful biosensor enhancement and provide proof of concept for detecting chlorate in food samples.
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Affiliation(s)
- Alexandra Vergnes
- Aix-Marseille University, CNRS, Laboratoire de Chimie Bactérienne, Institut de Microbiologie de la Méditerranée, 13009 Marseille, France
| | - Jérôme Becam
- Aix-Marseille University, CNRS, Laboratoire de Chimie Bactérienne, Institut de Microbiologie de la Méditerranée, 13009 Marseille, France
| | - Laurent Loiseau
- Aix-Marseille University, CNRS, Laboratoire de Chimie Bactérienne, Institut de Microbiologie de la Méditerranée, 13009 Marseille, France
| | - Benjamin Ezraty
- Aix-Marseille University, CNRS, Laboratoire de Chimie Bactérienne, Institut de Microbiologie de la Méditerranée, 13009 Marseille, France
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Reznicek J, Bednarik V, Filip J. PERCHLORATE SENSING – CAN ELECTROCHEMISTRY MEET THE SENSITIVITY OF STANDARD METHODS? Electrochim Acta 2023. [DOI: 10.1016/j.electacta.2023.142027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
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Hu J, Xian Y, Wu Y, Chen R, Dong H, Hou X, Liang M, Wang B, Wang L. Perchlorate occurrence in foodstuffs and water: Analytical methods and techniques for removal from water - A review. Food Chem 2021; 360:130146. [PMID: 34034057 DOI: 10.1016/j.foodchem.2021.130146] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 05/12/2021] [Accepted: 05/16/2021] [Indexed: 11/15/2022]
Abstract
Perchlorate (ClO4-), a type of contaminant with high diffusivity and durability, has been widely detected in water and foodstuffs, arousing a global concern. It can interfere with normal function of the human thyroid gland, affecting human health. Therefore, determination of perchlorate in water and foodstuffs, and removal from water are important. This review focuses on the occurrence of perchlorate, mainly in water and foodstuffs, and provides an overview of analytical methods for determination of perchlorate over the last two decades. In addition, merits and drawbacks of the various methods have been considered. This review also highlights the most commonly used approaches for removal of perchlorate from water. Finally, current trends and future perspectives in determination of perchlorate and removal from water are proposed. This review provided a comprehensive understanding of perchlorate occurrence and its removal from water, and had practical significance in reducing the harm of perchlorate to human.
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Affiliation(s)
- Junpeng Hu
- Guangzhou Quality Supervision and Testing Institute, Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Key Laboratory of Detection Technology for Food Safety of Guangzhou City, Guangzhou 511447, China
| | - Yanping Xian
- Guangzhou Quality Supervision and Testing Institute, Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Key Laboratory of Detection Technology for Food Safety of Guangzhou City, Guangzhou 511447, China
| | - Yuluan Wu
- Guangzhou Quality Supervision and Testing Institute, Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Key Laboratory of Detection Technology for Food Safety of Guangzhou City, Guangzhou 511447, China
| | - Rongqiao Chen
- Guangzhou Quality Supervision and Testing Institute, Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Key Laboratory of Detection Technology for Food Safety of Guangzhou City, Guangzhou 511447, China
| | - Hao Dong
- College of Light Industry and Food Sciences, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; Academy of Contemporary Agricultural Engineering Innovations, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Xiangchang Hou
- Guangzhou Quality Supervision and Testing Institute, Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Key Laboratory of Detection Technology for Food Safety of Guangzhou City, Guangzhou 511447, China
| | - Ming Liang
- Guangzhou Quality Supervision and Testing Institute, Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Key Laboratory of Detection Technology for Food Safety of Guangzhou City, Guangzhou 511447, China
| | - Bin Wang
- Guangzhou Quality Supervision and Testing Institute, Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Key Laboratory of Detection Technology for Food Safety of Guangzhou City, Guangzhou 511447, China
| | - Li Wang
- Guangzhou Quality Supervision and Testing Institute, Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Key Laboratory of Detection Technology for Food Safety of Guangzhou City, Guangzhou 511447, China
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Ye M, Nesterenko PN, Lu Y, Huang X, Jin X, Chen M. Determination of Trace Bromate in Drinking Water with High Chloride Matrix by Cyclic Ion Chromatography. J Chromatogr Sci 2021; 59:217-222. [PMID: 33275658 DOI: 10.1093/chromsci/bmaa095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 09/23/2020] [Accepted: 10/24/2020] [Indexed: 11/15/2022]
Abstract
An ion chromatography (IC) system with switching recycling column was developed for the determination of bromate in drinking water with high chloride content. The system included a pump, two switching valves, guard column and analytical column, suppressor and a conductivity detector. In this method, the single eluent was used for both online collection and matrix elimination, and bromate was eluted from the concentrator column to the analytical column circularly. Under the optimized separation conditions, the method showed good linearity (r = 0.9995) in the range of 1-100 μg/L and repeatability (RSD ≤ 4.80%, n = 6). The limit of detection was 0.2 μg/L (S/N = 3) with 1000 μL sample volume injections. The method was applied to analysis of drinking and tap waters, and satisfactory recoveries of spiked samples between 96.8% and 108.7% were obtained. The result showed that the recycling column-switching system can be useful for the determination of traces of bromate in high-chloride samples, which is required in production of the drinking water and quality control of the final product.
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Affiliation(s)
- Mingli Ye
- College of Biological and Environmental Engineering, Zhejiang Shuren University, 36 Zhoushan E Rd, Hangzhou 310015, China
| | - Pavel N Nesterenko
- Chemistry Department, Physical Chemistry Division, Lomonosov Moscow State University, 1-3 Leninskie Gory, 119991 Moscow, Russian Federation
| | - Ying Lu
- College of Biological and Environmental Engineering, Zhejiang Shuren University, 36 Zhoushan E Rd, Hangzhou 310015, China
| | - Xueting Huang
- College of Biological and Environmental Engineering, Zhejiang Shuren University, 36 Zhoushan E Rd, Hangzhou 310015, China
| | - Xiaoling Jin
- College of Biological and Environmental Engineering, Zhejiang Shuren University, 36 Zhoushan E Rd, Hangzhou 310015, China
| | - Meilan Chen
- College of Biological and Environmental Engineering, Zhejiang Shuren University, 36 Zhoushan E Rd, Hangzhou 310015, China
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Constantinou P, Louca-Christodoulou D, Agapiou A. LC-ESI-MS/MS determination of oxyhalides (chlorate, perchlorate and bromate) in food and water samples, and chlorate on household water treatment devices along with perchlorate in plants. CHEMOSPHERE 2019; 235:757-766. [PMID: 31280044 DOI: 10.1016/j.chemosphere.2019.06.180] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Revised: 06/14/2019] [Accepted: 06/23/2019] [Indexed: 06/09/2023]
Abstract
The results of the validation study of the LC-ESI-MS/MS method for the determination of chlorate (ClO3-), perchlorate (ClO4-) and bromate (BrO3-) in water and food samples are summarized. Towards this, 284 samples of drinking water were analysed, out of which the 69% contained chlorate above the limit of quantitation (LOQ) of 0.01 mg/L, with maximum amount of 1.1 mg/L. Only 6 samples were found to be positive with perchlorate at levels <0.01 mg/L. Bromate was detected in 5 drinking water samples at levels above the LOQ, at concentrations up to 0.026 mg/L. For the validation of the method in food, 108 blank samples were spiked with chlorate and perchlorate for the LC-MS/MS analysis at two levels. In total 247 food samples from the market of 19 different commodities including fruits, vegetables, cereals and wine, were analysed. The maximum concentration of chlorate was found at 0.83 mg/kg in a sample of cultivated mushrooms. The number of samples contaminated with perchlorate was also small, with all the determined concentrations below the LOQ of 0.05 mg/kg. Experiments for the chlorate reduction in drinking water, showed that reverse osmosis treatment is effective in particular with newly installed cartridges. Finally, according to the results of the pilot study when chlorinated water is used for the plant irrigation, accumulation of chlorate is observed, especially in the green parts of the plant. Perchlorate was also detected in leafy samples, although it was not present in the irrigation water.
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Affiliation(s)
- Panayiotis Constantinou
- Department of Chemistry, University of Cyprus, P.O. Box 20537, 1678, Nicosia, Cyprus; State General Laboratory, Pesticide Residues Laboratory, Nicosia, Cyprus
| | | | - Agapios Agapiou
- Department of Chemistry, University of Cyprus, P.O. Box 20537, 1678, Nicosia, Cyprus.
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