2024 01 v.35;No.113 28-34
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
基金项目(Foundation):
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)
邮箱(Email):
yaoyan@cjlu.edu.cn;
DOI:
中文作者单位:
中国计量大学计量测试与仪器工程学院;河南中烟工业有限责任公司南阳卷烟厂;宁波大学;
摘要(Abstract):
目的:研究不同化学计量学方法对烟草含水率近红外分析准确度的影响。方法:比较不同预处理方法(平滑、一阶、二阶、标准正态变量(SNV)和多元散射校正(MSC)及其组合)以及不同波长筛选方法(基于水分波段、基于波长区间、基于波长点)对预测模型性能的影响。结果:仅对数据进行SNV、MSC、MSC+一阶、MSC+SNV、SNV+一阶预处理的模型能够使不同程度的相对分析误差RPD提高，而其他方法则不同程度下降；在波长筛选方法方面，使用基于波长区间的方法能够获得较好的优化效果，经过变量筛选得到594个波长，为原波长数的27.26%,且能提高0.133 6的RPD值。结论:不同的计量学方法会对烟草含水率分析准确度产生影响，对于此次数据，应采用MSC预处理方法及基于波长区间筛选方法对数据进行处理。
关键词(KeyWords):
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
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参考文献
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[8] LI S L,SHAO Q S,LU Z H,et al.Rapid determination of crocins in saffron by near-infrared spectroscopy combined with chemometric techniques[J].Spectrochimica Acta Part A:Molecular and Biomolecular Spectroscopy,2018,190:283-289.
[9] 吴珽，梁龙，朱华，等.海南制浆树种中主要成分的近红外分析与模型优化[J].光谱学与光谱分析，2021,41(5):1404-1409.WU Y,LIANG L,ZHU H,et al.Near-infrared analysis and model optimization of main components of pulping tree species in Hainan[J].Spectroscopy and Spectral Analysis,2021,41(5):1404-1409.
[10] SONG D,GAO D H,SUN H,et al.Chlorophyll content estimation based on cascade spectral optimizations of interval and wavelength characteristics[J].Computers and Electronics in Agriculture,2021,189:106413(1-8).
[11] 张冬妍，付聪聪，李丹丹，等.基于近红外光谱的榛子蛋白质无损检测模型研究[J].激光与光电子学进展，2023,60(1):401-407.ZHANG D Y,FU C C,LI D D,et al.Nondestructive detection model of Hazelnut protein based on near infrared[J].Advances in Laser and Optoelectronics,2023,60(1):401-407.
[12] 苗雪雪，苗莹，龚浩如，等.特征波长优选结合近红外技术检测大米中的含水量[J].食品科技，2019,44(10):335-341.MIAO X X,MIAO Y,GONG H R,et al.Determination of water content in rice by characteristic wavelength optimization and near infrared technology[J].Food Science and Technology,2019,44(10):335-341.
[13] 洪期鸣.近红外水分仪的研究与优化设计[D].沈阳：东北大学，2018:32-33.HONG Q M.Research and Optimization Design of Near Infrared Moisture Meter[D].Shenyang:Northeastern University,2018:32-33.
[14] DHARMA S D,HABSHAH M,JAYANTHI A,et al.Automated fitting process using robust reliable weighted average on near infrared spectral data analysis[J].Symmetry,2020,12(12):2099(1-25).
[15] LI H D.Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration[J].Analytica Chimica Acta,2009,648:77-84.
[16] KUMAR K.Competitive adaptive reweighted sampling assisted partial least square analysis of excitation-emission matrix fluorescence spectroscopic data sets of certain polycyclic aromatic hydrocarbons-ScienceDirect[J].Spectrochimica Acta Part A:Molecular and Biomolecular Spectroscopy,2021,244:118874(1-8).
基本信息:
DOI：
中图分类号:O657.33;TS41
引用信息:
[1]俞思名,姚燕,刘颖等.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(01):28-34.
基金信息:
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)
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