基于近红外光谱与SIMCA快速识别乙烯醋酸乙烯酯共聚物树脂牌号的定性方法  

Qualitative method for rapidly distinguishing grades of EVA resin based on near infrared spectroscopy and SIMCA

作　　者：谢锦春[1] 袁洪福[1] 宋春风[1] 闫香君 王宇城 李效玉[1] XIE Jin-chun;YUAN Hong-fu;SONG Chun-feng;YAN Xiang-jun;WANG Yu-cheng;LI Xiao-yu(College of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China;Organic Chemical Plant, Beijing Oriental Petrochemical Co., Ltd., Beijing 100022, China)

机构地区：[1]北京化工大学材料科学与工程学院,北京100029 [2]北京东方石油化工有限公司有机化工厂,北京100022

出　　处：《现代化工》2018年第9期229-232,234,共5页Modern Chemical Industry

基　　金：国家重大科学仪器设备开发专项(2013YQ220643)

摘　　要：利用近红外光谱与族类独立软模式方法(SIMCA)对不同牌号的乙烯醋酸乙烯酯(EVA)共聚物树脂进行快速定性分析。利用漫反射测量方式与傅里叶近红外光谱仪测量样本的近红外光谱,并利用SIMCA方法对训练集样本建立类别定性模型及预测验证集样本的牌号。结果表明,近红外光谱经过导数与MSC预处理后,利用主成分分析方法将光谱数据降维得到光谱的主成分信息,选用前3主成分建立的EVA树脂牌号的定性识别模型,对24个验证集样本的预测准确度为100%。基于近红外光谱与SIMCA定性方法可以用于EVA树脂牌号的快速识别。Near infrared spectroscopy（NIR） and soft independent modeling of class analogy（SIMCA） are developed in rapid qualitative classification on different grades of EVA resins. 76 EVA samples,including Grade EVA2022,EVA2045,EVA3045 are collected from production lines.Of which,52 samples are used for correction and 24 samples are used for validation. NIR of samples are measured by diffuse reflectance measurement method and Fourier transform spectrometer.SIMCA is used for building qualitative models and predicting the class of validated set.Spectra of all samples are pre-processed by derivation and Multiplicative Scatter Correction（MSC）,and are then reduced into low dimensions using Principle Component Analysis（PCA）.The first three principle components（PC） are used to establish qualitative distinguishing models for grades of EVA resins. Results show that the corrected rate for class prediction is100% and the qualitative method is applicable for identifying grade of EVA resins.

关 键 词：近红外光谱 EVA 树脂 SIMCA 定性分类 

分 类 号：TH841[机械工程—仪器科学与技术]