4.7 Article

A novel magneto-gold nanohybrid-enhanced lateral flow immunoassay for ultrasensitive and rapid detection of ochratoxin A in grape juice

Journal

FOOD CHEMISTRY
Volume 336, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2020.127710

Keywords

Magneto-gold nanomaterial; Lateral flow immunoassay; Immunomagnetic separation; Complex sample; Ochratoxin A

Funding

  1. National Key Research and Development Program of China [2018YFC1602505, 2018YFC1602203, 2018YFC1602202]
  2. National Natural Science Foundation of China [31760485, 31471648]
  3. Interdisciplinary Innovation Fund of Natural Science, Nanchang University [9166-27060003-ZD01]
  4. Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base, Ministry of Science and Technology [028074911709]

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A novel bifunctional magneto-gold nanohybrid was integrated into lateral flow immunoassay for simultaneous magnetic separation and colorimetric target sensing, achieving ultrasensitive detection of ochratoxin A in grape juice. The method demonstrated excellent selectivity and comparability to liquid chromatography coupled with mass spectrometry, and is readily extendable to other small molecule detection in food samples.
Conventional gold nanoparticle-based lateral flow immunoassay (LFIA) usually suffers a huge challenge in measuring target concentration in food matrices with dark color because of its poor resistance to the background matrix and color interference. To address this issue, we first report a novel bifunctional magneto-gold nanohybrid (MGNH) for the simultaneous magnetic separation and colorimetric target sensing by integrating MGNHs into LFIA. Under optimum conditions, an ultrasensitive detection of ochratoxin A (OTA) in grape juice was achieved with a limit of detection at 0.094 ng mL(-1). The average recoveries of this MGNH-LFIA ranged from 92.31% to 108.97% with a coefficient of variation of below 12%. The excellent selectivity of our MGNH-LFIA against OTA was demonstrated. Besides, our MGNH-LFIA is comparable to liquid chromatography coupled with mass spectrometry in terms of accuracy, reproducibility, and practicability. The designed MGNH-LFIA platform is readily extended for improving other small molecule detection in food samples.

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