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作 者:陈煜 邱智军[1] 张彬[1] CHEN Yu;QIU Zhijun;ZHANG Bin(College of Food and Bioengineering,He'nan University of Science and Technology,Luoyang,He'nan 471003,China)
机构地区:[1]河南科技大学食品与生物工程学院,河南洛阳471003
出 处:《农产品加工》2021年第19期66-69,共4页Farm Products Processing
基 金:国家自然科学基金“基于接枝型亲和色谱的植物蛋白酶高效纯化方法与机理研究”(31701536);国家自然科学基金“基于蛋白质分类和残基定义优化的蛋白质-蛋白质相互作用位点预测”(U1404307)。
摘 要:牛奶中富含丰富的营养物质,但其在生产、加工及运输过程中易受到病原微生物的污染。沙门氏菌是牛奶污染最常见的食源性病原菌,轻者会引起感染者腹痛、腹泻,重者引起生命危险,因此建立牛奶中沙门氏菌残留快速、高效检测方法尤为重要。三维荧光光谱检测具有灵敏度高、选择性强和快速无污染等优点。利用三维荧光光谱技术,结合基于交替三线性分解(ATLD)的二阶校正算法,对牛奶中沙门氏菌进行快速定量分析。当组分数确定为2时,ATLD获得的平均回收率为93.5%±2.3%,同时分析品质因子包括灵敏度(SEN)、选择性(SEL)、检出限(LOD)对ATLD算法进行性能评估。结果表明,ATLD算法可成功用于分析检测牛奶中的沙门氏菌,且方法简单,解析准确可靠。Milk is rich in nutrients,but it is easy to be polluted by pathogenic microorganisms in the process of production,processing and transportation.Salmonella is the most common food borne pathogenic bacteria in milk pollution,which can cause abdominal pain and diarrhea in the light and life risk in the heavy.Therefore,it is very important to establish a rapid and efficient detection method for Salmonella residues in milk.Three dimensional fluorescence spectrum detection has the advantages of high sensitivity,strong selectivity,fast and pollution-free.In this study,three-dimensional fluorescence spectroscopy and second-order correction algorithm based on alternating trilinear decomposition(ATLD)were used to analyze Salmonella in milk.The average recovery of ATLD was 93.5%±2.3%,At the same time,the quality factors including sensitivity(SEN),selectivity(SEL),detection limit(LOD)were analyzed to evaluate the performance of ATLD algorithm.The results showed that the ATLD algorithm could be successfully used to detect Salmonella in milk,and the method is simple,accurate and reliable.
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