中国计量大学学报2024,Vol.35Issue(1):28-34,7.DOI:10.3969/j.issn.2096-2835.2024.01.005
化学计量学方法选取对烟草含水率近红外分析准确度的影响
Influence of stoichiometric method selection on the accuracy of the near infrared analysis of tobacco moisture content
摘要
Abstract
Aims:This paper aims to study the impact of different chemometric methods on the accuracy of the near-infrared analysis of tobacco moisture content.Methods:The effects of different preprocessing methods(smoothing,first-order,second-order,standard normal variable[SNV],multivariate scattering correction[MSC]and their combinations)as well as different wavelength screening methods(based on moisture bands,wavelength intervals,and wavelength points)on the performance of prediction models were compared.Results:Models that only performed SNV,MSC,MSC+first-order,MSC+SNV,SNV+first-order preprocessing on the data could achieve varying degrees of RPD improvement while other methods decreased to varying degrees.In terms of wavelength screening methods,using wavelength interval-based methods could achieve good optimization results.After variable screening,594 wavelengths were obtained,which was 27.26%of the original number of wavelengths,and could improve the RPD value by 0.133 6.Conclusions:Different econometric methods will affect the accuracy of tobacco moisture content analysis.For this data,the MSC preprocessing method and the wavelength interval screening method should be used to process the data.关键词
预处理/水分波段/无信息变量消除法/竞争性自适应重加权采样法Key words
pretreatment/water band/uninformative variables elimination/competitive adapative reweighted sam-pling分类
信息技术与安全科学引用本文复制引用
俞思名,姚燕,刘颖,刘穗君,潘登,蔡晋辉,朱颖颖..化学计量学方法选取对烟草含水率近红外分析准确度的影响[J].中国计量大学学报,2024,35(1):28-34,7.基金项目
国家自然科学基金项目(No.61673358),河南中烟工业有限责任公司重点项目(No.A202053,RH202005) (No.61673358)