基于近红外光谱技术的油茶籽粕中灰分含量快速检测方法  

A Fast Detection Method of Ash Content in Camellia Seed Meal Based on Near Infrared Spectroscopy Technology

作　　者：耿响 张泽栋 江龙发 曾子聪 杨伟根 张恒 GENG Xiang;ZHANG Ze-dong;JIANG Long-fa;ZENG Zi-Cong;YANG Wei-gen;ZHANG Heng(School of Food Science and Engineering,Jiangxi Agriculture University, Nanchang 330045,China;Nanchang Customs Technical Center, Nanchang 330008,China;Jiangxi Phil Testing Service Co. , Ltd . , Nanchang 330001,China)

机构地区：[1]江西农业大学食品科学与工程学院,江西南昌330045 [2]南昌海关技术中心,江西南昌330008 [3]江西菲尔检测服务有限公司,江西南昌330001

出　　处：《红外》2022年第1期43-48,共6页Infrared

基　　金：江西省科技厅科研项目(GJJ200432)。

摘　　要：以南昌海关技术中心115个油茶籽粕样品为研究对象,比较了不同扫描次数和装样厚度对样品近红外光谱的影响。选择扫描次数为32次,装样厚度为4 mm,并根据不同预处理方法对所建立的油茶籽粕中灰分含量近红外模型的影响筛选出最佳预处理方法——归一化(Standard Normal Variate,SNV)、一阶导数(DG1)和9点平滑(Smooth Savitzky-Golay 9 points,SG9)。利用偏最小二乘法建立了油茶籽粕灰分含量的定量分析模型,其校正相关系数为0.9698,校正均方根误差为0.5236,预测相关系数为0.9575,预测均方根误差为0.6211。为验证模型的适用性,对15个未参与模型建立的油茶籽粕样品的灰分含量进行了预测,并将预测结果与国标方法GB 5009.4-2016的测定结果进行成对结果t检验,得到该方法与国标方法的结果不存在显著差异的结论。近红外方法将极大地提高油茶籽粕品质检测速度和效率、降低检测人员工作量、减少化学试剂的使用,为实现快速、高效的油茶籽粕质量分级和监管提供了技术基础。A total of 115 samples of camellia seed meal collected from Nanchang customs technical center are taken as research objects.The number of scanning times is 32,and the sample thickness is 4 mm.Standard normal variate(SNV),DG1 and SG9,which are the best pretreatment methods,are selected according to the influence of different pretreatment methods on the established near infrared models.The quantitative analysis models of ash content in camellia seed meal are established by partial least square method.The corrected correlation coefficient is 0.9698,the corrected root mean square error is 0.5236,the predicted correlation coefficient is 0.9575,and the predicted root mean square error is 0.6211.In order to verify the applicability of the models,the ash content of 15 camellia seed meal samples which are not involved in the establishment of the models are predicted.The predicted results are compared with the determination results of GB 5009.4-2016 by pair result t test.It is concluded that there is no significant difference between the results of this method and national standard method.This method will greatly improve detection speed and efficiency of the camellia seed meal quality,reduce the workload and the use of chemical reagents,which provides a technical basis for the realization of rapid and efficient quality classification and supervision of camellia seed meal.

关 键 词：近红外光谱 快速检测 油茶籽粕 灰分含量 

分 类 号：O657.3[理学—分析化学]