分析测试学报2026，Vol.45Issue(1)：40-49,10.DOI:10.12452/j.fxcsxb.25052602
基于微阵列等电聚焦电泳与曼哈顿算法的动物源性饲料筛查研究
Screening of Animal-derived Feed Materials via Microarray Isoelectric Focusing and Manhattan Distance Similarity Algorithm
摘要
Abstract
This paper conducts a study on the identification of animal-derived feed materials based on microarray isoelectric focusing(mIEF).At first,a series of optimizations were carried out on the whole process of mIEF for screening of feed materials,which included sample pretreatment,rehy-dration loading,mIEF separation,and online imaging successfully solving the problems caused by the complex composition and high-salt content of feed materials.Secondly,through repeated experi-ments,375 mIEF patterns of 15 kinds of animal-derived feeds were obtained,and a feed pattern da-tabase based on mIEF data was constructed for further similarity analysis.Finally,the similarity al-gorithm of Manhattan distance was selected for the comparison and analysis of unknown feed samples,the screening accuracy of actual samples was up to 84.3％,further verifying the technical feasibility of this method.Compared to conventional methods for feed screening,the mIEF technology integrat-ed with the Manhattan algorithm offers advantages of high-throughput,high-resolution,simplified operation,and lower costs,providing a novel approach for feed traceability and quality and safety control.关键词
等电聚焦电泳/饲料原料/饲料筛查/曼哈顿距离Key words
isoelectric focusing/feed materials/feed screening/Manhattan distance分类
化学化工引用本文复制引用
卢秀楠,田佑吏,刘伟文,张强,许旭,曹成喜..基于微阵列等电聚焦电泳与曼哈顿算法的动物源性饲料筛查研究[J].分析测试学报,2026,45(1):40-49,10.基金项目
国家自然科学基金项目(22104082,31727801) （22104082,31727801）
国家资助博士后研究人员计划(GZC20241027) （GZC20241027）
