Development of A Monoclonal Antibody‐Based Competitive Elisa Method for Quantitative Detection of Dextran. Issue 4 (10th March 2016)

• Record Type: Journal Article
• Authors: Wang, Shengyu; Li, Zhe; Wang, Xianjiang; Ni, Erru; Zeng, Lianqiang; Luo, Fanghong; Yan, Jianghua; Liang, Dafeng
• Is Part Of: Journal of food quality. Volume 39:Issue 4(2016:Aug.)
• Page Start: 408
• Page End: 414
• Publication Date: 2016-03-10
• Subjects: Food industry and trade -- Quality control -- Periodicals; Food industry and trade -- Standards -- Periodicals; Food -- Periodicals; 664.07
• DOI: 10.1111/jfq.12198
• Languages: English
• ISSNs: 0146-9428

Abstract

Abstract: To solve processing problems caused by bacterial activity in sugar industry, a sensitive method for dextran detection is expected. In this study, monoclonal antibodies (mAbs) against dextran were prepared using dextran T40 conjugated with bovine serum albumin as immunogens. Basing on the mAbs, a competitive enzyme‐linked immunosorbent assay (ELISA) method to measure dextran quantitatively was developed. Results demonstrated that this competitive ELISA method had a calibration curve with correlation coefficient of 0.9986, IC50 value of 204.2 ng/mL and detection value ranging from 26.3 ng/mL to 1174.9 ng/mL. In addition, cross‐reaction assay suggested the method had no significant cross‐reaction with dextran‐related substances such as β‐glucan, starch, sucrose, sugar and glucose. Besides, spike recovery assay indicated this quantitative method for dextran detection had a perfect accuracy. Practical Applications: With wide detection range, high specificity and good calibration curve, this developed competitive ELISA method will be reliable to detect dextran quantitatively in sugar industry, and even may be commercially applied into kit development.