Literature DB >> 25476288

Quantum-dot submicrobead-based immunochromatographic assay for quantitative and sensitive detection of zearalenone.

Hong Duan1, Xuelan Chen2, Wei Xu1, Jinhua Fu3, Yonghua Xiong4, Andrew Wang5.   

Abstract

Mycotoxin pollutants are commonly related to cereal products and cause fatal threats in food safety, and therefore require simple and sensitive detection. In this work, quantum-dot (QD) submicrobeads (QBs) were synthesized by encapsulating CdSe/ZnS QDs using the microemulsion technique. The resultant QBs, with approximately 2800 times brighter luminescence than the corresponding QDs, were explored as novel fluorescent probes in the immunochromatographic assay (ICA) for sensitive and quantitative detection of zearalenone (ZEN) in corns. Various parameters that influenced the sensitivity and stability of QB-based ICA (QB-ICA) were investigated and optimized. The optimal QB-ICA exhibits good dynamic linear detection for ZEN over the range of 0.125 ng/mL to 10 ng/mL with a median inhibitory concentration of 1.01±0.09 ng/mL (n=3). The detection limits for ZEN in a standard solution and real corn sample (dilution ratio of 1:30) are 0.0625 ng/mL and 3.6 µg/kg, respectively, which is much better than that of a previously reported gold nanoparticle-based ICA method. Forty-six natural corn samples are assayed using both QB-ICA and enzyme-linked immunosorbent assay. The two methods show a highly significant correlation (R(2)=0.92). Nine ZEN-contaminated samples were further confirmed with liquid chromatography-tandem mass spectrometry (LC-MS/MS), and the QB-ICA results also exhibited good agreement with LC-MS/MS method. In brief, this work demonstrates that QB-ICA is capable of rapid, sensitive screening of toxins in food analysis, and shows great promise for point-of-care testing of other analytes.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Immunochromatographic assay; Quantitative detection; Quantum dot submicrobeads; Zearalenone

Mesh:

Substances:

Year:  2014        PMID: 25476288     DOI: 10.1016/j.talanta.2014.08.076

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  11 in total

1.  Detection of ochratoxin A by quantum dots-based fluorescent immunochromatographic assay.

Authors:  Jingming Zhou; Qingbao Yang; Chao Liang; Yumei Chen; Xiaoli Zhang; Zhanxiang Liu; Aiping Wang
Journal:  Anal Bioanal Chem       Date:  2020-10-16       Impact factor: 4.142

2.  An amperometric zearalenone aptasensor based on signal amplification by using a composite prepared from porous platinum nanotubes, gold nanoparticles and thionine-labelled graphene oxide.

Authors:  Baoshan He; Xiaohai Yan
Journal:  Mikrochim Acta       Date:  2019-05-28       Impact factor: 5.833

3.  An anti-BSA antibody-based immunochromatographic assay for chloramphenicol and aflatoxin M1 by using carboxy-modified CdSe/ZnS core-shell nanoparticles as label.

Authors:  Zhiwei Qie; Wenliang Yan; Zichen Gao; Wu Meng; Rui Xiao; Shengqi Wang
Journal:  Mikrochim Acta       Date:  2019-12-03       Impact factor: 5.833

4.  Highly sensitive and accurate detection of C-reactive protein by CdSe/ZnS quantum dot-based fluorescence-linked immunosorbent assay.

Authors:  Yanbing Lv; Ruili Wu; Kunrui Feng; Jinjie Li; Qing Mao; Hang Yuan; Huaibin Shen; Xiangdong Chai; Lin Song Li
Journal:  J Nanobiotechnology       Date:  2017-05-02       Impact factor: 10.435

5.  An On-Site, Ultra-Sensitive, Quantitative Sensing Method for the Determination of Total Aflatoxin in Peanut and Rice Based on Quantum Dot Nanobeads Strip.

Authors:  Suiyan Ouyang; Zhaowei Zhang; Ting He; Peiwu Li; Qi Zhang; Xiaomei Chen; Du Wang; Hui Li; Xiaoqian Tang; Wen Zhang
Journal:  Toxins (Basel)       Date:  2017-04-13       Impact factor: 4.546

6.  A Gold Growth-Based Plasmonic ELISA for the Sensitive Detection of Fumonisin B1 in Maize.

Authors:  Shengnan Zhan; Lingyan Zheng; Yaofeng Zhou; Kesheng Wu; Hong Duan; Xiaolin Huang; Yonghua Xiong
Journal:  Toxins (Basel)       Date:  2019-06-05       Impact factor: 4.546

Review 7.  Advances in Analysis and Detection of Major Mycotoxins in Foods.

Authors:  Sofia Agriopoulou; Eygenia Stamatelopoulou; Theodoros Varzakas
Journal:  Foods       Date:  2020-04-20

Review 8.  Mycotoxin Determination in Foods Using Advanced Sensors Based on Antibodies or Aptamers.

Authors:  Lin Xu; Zhaowei Zhang; Qi Zhang; Peiwu Li
Journal:  Toxins (Basel)       Date:  2016-08-12       Impact factor: 4.546

9.  Smartphone-Based Dual-Modality Imaging System for Quantitative Detection of Color or Fluorescent Lateral Flow Immunochromatographic Strips.

Authors:  Yafei Hou; Kan Wang; Kun Xiao; Weijian Qin; Wenting Lu; Wei Tao; Daxiang Cui
Journal:  Nanoscale Res Lett       Date:  2017-04-21       Impact factor: 4.703

10.  Self-assembled colloidal gold superparticles to enhance the sensitivity of lateral flow immunoassays with sandwich format.

Authors:  Xirui Chen; Yuankui Leng; Liangwen Hao; Hong Duan; Jing Yuan; Wenjing Zhang; Xiaolin Huang; Yonghua Xiong
Journal:  Theranostics       Date:  2020-02-19       Impact factor: 11.556

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