近红外法对酵母细胞壁活性成分的快速定量检测  

Rapid quantitative detection of yeast cell wall active ingredients by near-infrared method

作　　者：谢嘉 秦磊磊 胡艳 陈少锋[1] 刘静怡 李亚茹 苟铨 XIE Jia;QIN Lei-lei;HU Yan;CHEN Shao-feng;LIU Jing-yi;LI Ya-ru;GOU Quan

机构地区：[1]安琪酵母股份有限公司,湖北宜昌443000 [2]三峡公共检验检测中心,湖北宜昌443000 [3]长江师范学院化学化工学院,重庆408000

出　　处：《饲料研究》2022年第10期97-101,共5页Feed Research

基　　金：重庆市科委青年基金(项目编号:cstc2019jcyjmsxmX0493)。

摘　　要：试验旨在研究快速检测酵母细胞壁中活性成分β-葡聚糖和甘露聚糖含量的方法。试验通过偏最小二乘法(PLSR)算法,将近红外光谱与液相检测值相结合,建立酵母细胞壁活性成分含量定量模型,根据拟合优度(R-Square)、校正均方根误差(RMSEC)以及预测均方根误差(RMSEP)的大小,判断出偏最小二乘法所建模型有良好精确度与稳健性。结果显示:β-葡聚糖检测模型R-Square为0.90,RMSEC值为1.16%,甘露聚糖检测模型R-Square为0.71,RMSEC值为0.99%。研究表明,通过近红外光谱法检测酵母细胞壁中的活性物质β-葡聚糖和甘露聚糖能够有效解决传统方法高效液相色谱法步骤烦琐、耗时长、试剂消耗量大的缺点,可以在酵母细胞壁中活性成分含量的快速检测中应用。The study was to develop a rapid method for the determination of β-glucan and mannan in yeast cell wall. The quantitative model of yeast cell wall active ingredient content was established by combining the partial least squares(PLSR) algorithm with the near-infrared spectroscopy and liquid phase detection values. According to the goodness of fit(R-Square), corrected root mean Square error(RMSEC) and predicted root mean Square error(RMSEP). It is judged that the model built by partial least square method has good accuracy and robustness. The results showed that β-dextran detection model R-square was 0.90, its RMSEC value was 1.16%, the mannan detection model R-Square was 0.71, its RMSEC value was 0.99%. The study indicates that the detection of active substances β-glucan and mannan in yeast cell wall by near infrared spectroscopy can effectively solve the disadvantages of traditional HPLC method, such as complicated steps, long time consuming and large reagent consumption, which can be used for the rapid detection of active components in yeast cell wall.

关 键 词：酵母细胞壁 近红外法 偏最小二乘法 Β-葡聚糖 甘露聚糖 

分 类 号：S816[农业科学—饲料科学]