Quantification of aflatoxin B1 in vegetable oils using low temperature clean-up followed by immuno-magnetic solid phase extraction. (1st March 2019)

• Record Type: Journal Article
• Authors: Yu, Xi; Li, Zhanming; Zhao, Mengzhe; Lau, Siew Cheng Stella; Ru Tan, Hui; Teh, Wei Jie; Yang, Hongshun; Zheng, Chao; Zhang, Yuquan
• Is Part Of: Food chemistry. Volume 275(2019)
• Page Start: 390
• Page End: 396
• Publication Date: 2019-03-01
• Subjects: Vegetable oil -- Food hazard -- Aflatoxin -- Low temperature cleanup -- Nanoparticle -- Immuno magnetic solid phase extraction -- Fluorometric analysis -- Rapid detection; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664
• DOI: 10.1016/j.foodchem.2018.09.132
• Languages: English
• ISSNs: 0308-8146

Abstract

Highlights: A quantification method for aflatoxin B1 in vegetable oils was developed. Low temperature clean-up was implemented to remove a sample's fat. Nanoparticles were employed as immuno-adsorbents to capture the analyte. The detection limits was lower compared with traditional methods. Abstract: In the present study, a convenient and highly efficient method was developed to quantify aflatoxin B1 (AFB1 ) in oil samples. Low temperature clean-up (LTC) followed by immuno magnetic solid phase extraction (IMSPE) was used to clean up oil samples. LTC assisted in freezing out the interference from the oil matrix while IMSPE further helped to preconcentrate the targeted analyte. For IMSPE, we synthesised and characterised anti-AFB1 monoclonal antibody-functionalised magnetic nanoparticles. Oil sample extraction was then carried out using LTC-IMSPE. The proposed method showed satisfactory efficiency and reproducibility with recovery rates being within the range of 79.6–117.9%, with a relative standard deviation below 11.48%. The sensitivity of the method was satisfactory with the limits of detection and quantification being as low as 0.0048 and 0.0126 ng·g −1, respectively. Real sample analysis was carried out for five kinds of different vegetable oils. The results suggest that the method developed is very sensitive and accurate.