Literature DB >> 33466242

Optical Screening Methods for Pesticide Residue Detection in Food Matrices: Advances and Emerging Analytical Trends.

Aristeidis S Tsagkaris1, Jana Pulkrabova1, Jana Hajslova1.   

Abstract

Pesticides have been extensively used in agriculture to protect crops and enhance their yields, indicating the need to monitor for their toxic residues in foodstuff. To achieve that, chromatographic methods coupled to mass spectrometry is the common analytical approach, combining low limits of detection, wide linear ranges, and high accuracy. However, these methods are also quite expensive, time-consuming, and require highly skilled personnel, indicating the need to seek for alternatives providing simple, low-cost, rapid, and on-site results. In this study, we critically review the available screening methods for pesticide residues on the basis of optical detection during the period 2016-2020. Optical biosensors are commonly miniaturized analytical platforms introducing the point-of-care (POC) era in the field. Various optical detection principles have been utilized, namely, colorimetry, fluorescence (FL), surface plasmon resonance (SPR), and surface enhanced Raman spectroscopy (SERS). Nanomaterials can significantly enhance optical detection performance and handheld platforms, for example, handheld SERS devices can revolutionize testing. The hyphenation of optical assays to smartphones is also underlined as it enables unprecedented features such as one-click results using smartphone apps or online result communication. All in all, despite being in an early stage facing several challenges, i.e., long sample preparation protocols or interphone variation results, such POC diagnostics pave a new road into the food safety field in which analysis cost will be reduced and a more intensive testing will be achieved.

Entities:  

Keywords:  bioassays; biosensors; food; optical detection; pesticide residues; point-of-care diagnostics; screening methods; smartphones

Year:  2021        PMID: 33466242      PMCID: PMC7824741          DOI: 10.3390/foods10010088

Source DB:  PubMed          Journal:  Foods        ISSN: 2304-8158


  75 in total

1.  Fiber optic profenofos sensor based on surface plasmon resonance technique and molecular imprinting.

Authors:  Anand M Shrivastav; Sruthi P Usha; Banshi D Gupta
Journal:  Biosens Bioelectron       Date:  2015-12-02       Impact factor: 10.618

2.  Accurate-mass databases for comprehensive screening of pesticide residues in food by fast liquid chromatography time-of-flight mass spectrometry.

Authors:  Milagros Mezcua; Octavio Malato; Juan F García-Reyes; Antonio Molina-Díaz; Amadeo R Fernández-Alba
Journal:  Anal Chem       Date:  2009-02-01       Impact factor: 6.986

3.  Development of an Immunosensor for Determination of the Fungicide Chlorothalonil in Vegetables, Using Surface Plasmon Resonance.

Authors:  Yuki Hirakawa; Tomomi Yamasaki; Eiki Watanabe; Fumiko Okazaki; Yukie Murakami-Yamaguchi; Masayuki Oda; Seiji Iwasa; Hiroshi Narita; Shiro Miyake
Journal:  J Agric Food Chem       Date:  2015-07-14       Impact factor: 5.279

4.  Determination of Sudan I in paprika powder by molecularly imprinted polymers-thin layer chromatography-surface enhanced Raman spectroscopic biosensor.

Authors:  Fang Gao; Yaxi Hu; Da Chen; Eunice C Y Li-Chan; Edward Grant; Xiaonan Lu
Journal:  Talanta       Date:  2015-05-09       Impact factor: 6.057

5.  Recent Progress in Nanomaterial-Based Optical Aptamer Assay for the Detection of Food Chemical Contaminants.

Authors:  Lingyi Lan; Yao Yao; Jianfeng Ping; Yibin Ying
Journal:  ACS Appl Mater Interfaces       Date:  2017-07-07       Impact factor: 9.229

6.  One-step immunoassay for the insecticide carbaryl using a chicken single-chain variable fragment (scFv) fused to alkaline phosphatase.

Authors:  Jinxin He; Xuewu Tao; Kai Wang; Guochun Ding; Ji Li; Qing X Li; Shirley J Gee; Bruce D Hammock; Ting Xu
Journal:  Anal Biochem       Date:  2019-03-01       Impact factor: 3.365

7.  A facile microfluidic paper-based analytical device for acetylcholinesterase inhibition assay utilizing organic solvent extraction in rapid detection of pesticide residues in food.

Authors:  Lili Jin; Zhenxia Hao; Qinqin Zheng; Hongping Chen; Li Zhu; Chen Wang; Xin Liu; Chengyin Lu
Journal:  Anal Chim Acta       Date:  2019-11-30       Impact factor: 6.558

8.  Surface Enhanced Raman Spectroscopy for In-Field Detection of Pesticides: A Test on Dimethoate Residues in Water and on Olive Leaves.

Authors:  Lorenzo Tognaccini; Marilena Ricci; Cristina Gellini; Alessandro Feis; Giulietta Smulevich; Maurizio Becucci
Journal:  Molecules       Date:  2019-01-15       Impact factor: 4.411

Review 9.  "The Smartphone's Guide to the Galaxy": In Situ Analysis in Space.

Authors:  Joost Nelis; Christopher Elliott; Katrina Campbell
Journal:  Biosensors (Basel)       Date:  2018-10-19

10.  A Hybrid Lab-on-a-Chip Injector System for Autonomous Carbofuran Screening.

Authors:  Aristeidis S Tsagkaris; Jana Pulkrabova; Jana Hajslova; Daniel Filippini
Journal:  Sensors (Basel)       Date:  2019-12-17       Impact factor: 3.576

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  4 in total

1.  Novel Analytical Methods in Food Analysis.

Authors:  Philippe Delahaut; Riccardo Marega
Journal:  Foods       Date:  2022-05-23

2.  Pesticide residues in fruits and vegetables in Indonesia: findings of five-year proficiency testing.

Authors:  Mariska M Pitoi; Harmoko Harmoko; Astika Tresnawati; Hilman F Pardede; Miranti Ariyani; Yohanes S Ridwan; Retno Yusiasih
Journal:  Accredit Qual Assur       Date:  2022-05-10       Impact factor: 0.856

Review 3.  Advancement and New Trends in Analysis of Pesticide Residues in Food: A Comprehensive Review.

Authors:  Shadma Wahab; Khursheed Muzammil; Nazim Nasir; Mohammad Suhail Khan; Md Faruque Ahmad; Mohammad Khalid; Wasim Ahmad; Adam Dawria; Lingala Kalyan Viswanath Reddy; Abdulrahman Mohammed Busayli
Journal:  Plants (Basel)       Date:  2022-04-19

4.  A novel electrochemical sensing platform based on the esterase extracted from kidney bean for high-sensitivity determination of organophosphorus pesticides.

Authors:  Han Tao; Feng Liu; Chun Ji; Yuangen Wu; Xiao Wang; Qili Shi
Journal:  RSC Adv       Date:  2022-02-11       Impact factor: 3.361

  4 in total

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