Development of a Portable Cell-Based Biosensor for the Ultra-Rapid Screening for Boscalid Residues in Lettuce.

IF 4.9 3区 工程技术 Q1 CHEMISTRY, ANALYTICAL Biosensors-Basel Pub Date : 2024-06-18 DOI:10.3390/bios14060311
Georgia Moschopoulou, Vasileios Tsekouras, Josep V Mercader, Antonio Abad-Fuentes, Spyridon Kintzios
{"title":"Development of a Portable Cell-Based Biosensor for the Ultra-Rapid Screening for Boscalid Residues in Lettuce.","authors":"Georgia Moschopoulou, Vasileios Tsekouras, Josep V Mercader, Antonio Abad-Fuentes, Spyridon Kintzios","doi":"10.3390/bios14060311","DOIUrl":null,"url":null,"abstract":"<p><p>Fungal plant pathogens have posed a significant threat to crop production. However, the large-scale application of pesticides is associated with possible risks for human health and the environment. Boscalid is a widely used fungicide, consistently implemented for the management of significant plant pathogens. Conventionally, the detection and determination of boscalid residues is based on chromatographic separations. In the present study, a Bioelectric Recognition Assay (BERA)-based experimental approach combined with MIME technology was used, where changes in the electric properties of the membrane-engineering cells with anti-boscalid antibodies were recorded in response to the presence of boscalid at different concentrations based on the maximum residue level (MRL) for lettuce. The membrane-engineering Vero cells with 0.5 μg/mL of antibody in their surface were selected as the best cell line in combination with the lowest antibody concentration. Furthermore, the biosensor was tested against another fungicide in order to prove its selectivity. Finally, the BERA cell-based biosensor was able to detect the boscalid residue, below and above the MRL, in spiked lettuce leaf extracts in an entirely distinct and reproducible manner. This study indicates that the BERA-based biosensor, after further development and optimization, could be used for the routine, high-throughput detection of boscalid residue in lettuce, and not only that.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"14 6","pages":""},"PeriodicalIF":4.9000,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11201857/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosensors-Basel","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3390/bios14060311","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Fungal plant pathogens have posed a significant threat to crop production. However, the large-scale application of pesticides is associated with possible risks for human health and the environment. Boscalid is a widely used fungicide, consistently implemented for the management of significant plant pathogens. Conventionally, the detection and determination of boscalid residues is based on chromatographic separations. In the present study, a Bioelectric Recognition Assay (BERA)-based experimental approach combined with MIME technology was used, where changes in the electric properties of the membrane-engineering cells with anti-boscalid antibodies were recorded in response to the presence of boscalid at different concentrations based on the maximum residue level (MRL) for lettuce. The membrane-engineering Vero cells with 0.5 μg/mL of antibody in their surface were selected as the best cell line in combination with the lowest antibody concentration. Furthermore, the biosensor was tested against another fungicide in order to prove its selectivity. Finally, the BERA cell-based biosensor was able to detect the boscalid residue, below and above the MRL, in spiked lettuce leaf extracts in an entirely distinct and reproducible manner. This study indicates that the BERA-based biosensor, after further development and optimization, could be used for the routine, high-throughput detection of boscalid residue in lettuce, and not only that.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
开发一种基于细胞的便携式生物传感器,用于超快速筛查生菜中的 Boscalid 残留。
植物真菌病原体对作物生产构成了重大威胁。然而,大规模使用杀虫剂可能会对人类健康和环境造成危害。啶虫脒是一种广泛使用的杀真菌剂,一直被用于控制重要的植物病原体。传统的方法是通过色谱分离来检测和确定啶虫脒的残留量。本研究采用了基于生物电识别分析(BERA)的实验方法,并结合 MIME 技术,根据莴苣的最高残留限量(MRL),记录了含有抗硼砂抗体的膜工程细胞在不同浓度硼砂存在时的电特性变化。结果表明,表面含有 0.5 μg/mL 抗体的膜工程 Vero 细胞是结合最低抗体浓度的最佳细胞系。此外,该生物传感器还针对另一种杀真菌剂进行了测试,以证明其选择性。最后,基于 BERA 细胞的生物传感器能够以完全不同和可重复的方式检测出莴苣叶提取物中低于和高于最高残留限量的啶酰菌胺残留量。这项研究表明,基于 BERA 细胞的生物传感器在经过进一步开发和优化后,不仅可用于常规、高通量检测莴苣中的硼沙利度残留,还可用于检测莴苣中的硼沙利度残留。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Biosensors-Basel
Biosensors-Basel Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
6.60
自引率
14.80%
发文量
983
审稿时长
11 weeks
期刊介绍: Biosensors (ISSN 2079-6374) provides an advanced forum for studies related to the science and technology of biosensors and biosensing. It publishes original research papers, comprehensive reviews and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.
期刊最新文献
Ru@UiO-66-NH2 MOFs-Based Dual Emission Ratiometric Fluorescence for Sensitive Sensing of Arginine. Source Localization and Classification of Pulmonary Valve-Originated Electrocardiograms Using Volume Conductor Modeling with Anatomical Models. Prediction of Thrombus Formation within an Oxygenator via Bioimpedance Analysis. Electrochemical Analysis of Amyloid Plaques and ApoE4 with Chitosan-Coated Gold Nanostars for Alzheimer's Detection. Enhancing Target Detection: A Fluorescence-Based Streptavidin-Bead Displacement Assay.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1