文献类型： 外文期刊
作者： Wang, Yuanshang 1 ; Jin, Maojun 1 ; Chen, Ge 1 ; Cui, Xueyan 1 ; Zhang, Yudan 1 ; Li, Mingjie 1 ; Liao, Yun 1 ; Zhang, Xi 1 ;
作者机构： 1.Chinese Acad Agr Sci, Inst Qual Stand & Testing Technol Agroprod, Key Lab Agroprod Qual & Safety, Minist Agr, Beijing 100081, Peoples R China
2.Guangxi Acad Agr Sci, Agroprod Qual Safety & Testing Technol Res Inst, Nanning 530007, Peoples R China
3.Cairo Univ, Fac Vet Med, Dept Pharmacol, Giza 12211, Egypt
4.Ataturk Univ, Med Fac, Dept Med Pharmacol, TR-25240 Erzurum, Turkey
关键词： Bio-barcode assay; Protein; Application; Multi-residue detection of macromolecules; Single-molecule single-residue detection
期刊名称：JOURNAL OF ADVANCED RESEARCH （ 影响因子：10.479； 五年影响因子：9.479 ）
ISSN： 2090-1232
年卷期： 2019 年 20 卷
页码：
收录情况： SCI
摘要： With the rapid development of nanotechnology, the bio-barcode assay (BCA), as a new diagnostic tool, has been gradually applied to the detection of protein and nucleic acid targets and small-molecule compounds. BCA has the advantages of high sensitivity, short detection time, simple operation, low cost, good repeatability and good linear relationship between detection results. However, bio-barcode technology is not yet fully formed as a complete detection system, and the detection process in all aspects and stages is unstable. Therefore, studying the optimal reaction conditions, optimizing the experimental steps, exploring the multi-residue detection of small-molecule substances, and preparing immuno-bio-barcode kits are important research directions for the standardization and commercialization of BCA. The main theme of this review was to describe the principle of BCA, provide a comparison of its application, and introduce the single-residue and multi-residue detection of macromolecules and single-residue detection of small molecules. We also compared it with other detection methods, summarized its feasibility and limitations, expecting that with further improvement and development, the technique can be more widely used in the field of stable small-molecule and multi-residue detection. (C) 2019 The Authors. Published by Elsevier B.V. on behalf of Cairo University.
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