变量选择及近红外光谱法快速测定福专茶中茶多酚含量的影响

IF 2.1 4区 农林科学 Cyta-Journal of Food Pub Date : 2022-10-14 DOI:10.1080/19476337.2022.2128429
Jingxue Liu, J. Xin, T. Gao, Fengyi Li, Xie Tian
{"title":"变量选择及近红外光谱法快速测定福专茶中茶多酚含量的影响","authors":"Jingxue Liu, J. Xin, T. Gao, Fengyi Li, Xie Tian","doi":"10.1080/19476337.2022.2128429","DOIUrl":null,"url":null,"abstract":"ABSTRACT This study attempted to measure the total polyphenols contents in Fuzhuan tea by near-infrared (NIR) spectroscopy coupled with an appropriate multivariate calibration method. Partial least squares (PLS), synergy interval PLS (si-PLS), and genetic algorithm-based PLS (ga-PLS) were carried out comparatively to calibrate regression models. The root mean square error of prediction (RMSEP), determination coefficient (Rp2), and P-value between the true and predicted values of prediction set were used to evaluate the performance of the final model. The ga-PLS model showed the best performance compared with the PLS and si-PLS models. The optimal model obtained Rp2 = 0.9996 and RMSEP = 0.0488 for the prediction set using only 37 spectral data points. No significant difference was observed between the true and predicted tea polyphenol contents in the prediction set (P > 0.05). NIR spectroscopy together with the ga-PLS algorithm can be used to rapidly predict the total polyphenol contents in Fuzhuan tea.","PeriodicalId":49084,"journal":{"name":"Cyta-Journal of Food","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effect of variable selection and rapid determination of total tea polyphenols contents in Fuzhuan tea by near-infrared spectroscopy\",\"authors\":\"Jingxue Liu, J. Xin, T. Gao, Fengyi Li, Xie Tian\",\"doi\":\"10.1080/19476337.2022.2128429\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This study attempted to measure the total polyphenols contents in Fuzhuan tea by near-infrared (NIR) spectroscopy coupled with an appropriate multivariate calibration method. Partial least squares (PLS), synergy interval PLS (si-PLS), and genetic algorithm-based PLS (ga-PLS) were carried out comparatively to calibrate regression models. The root mean square error of prediction (RMSEP), determination coefficient (Rp2), and P-value between the true and predicted values of prediction set were used to evaluate the performance of the final model. The ga-PLS model showed the best performance compared with the PLS and si-PLS models. The optimal model obtained Rp2 = 0.9996 and RMSEP = 0.0488 for the prediction set using only 37 spectral data points. No significant difference was observed between the true and predicted tea polyphenol contents in the prediction set (P > 0.05). NIR spectroscopy together with the ga-PLS algorithm can be used to rapidly predict the total polyphenol contents in Fuzhuan tea.\",\"PeriodicalId\":49084,\"journal\":{\"name\":\"Cyta-Journal of Food\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2022-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cyta-Journal of Food\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1080/19476337.2022.2128429\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cyta-Journal of Food","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1080/19476337.2022.2128429","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

摘要:本研究采用近红外(NIR)光谱法,结合适当的多变量定标方法测定茯茯茶中总多酚的含量。采用偏最小二乘(PLS)、协同区间PLS (si-PLS)和遗传算法PLS (ga-PLS)对回归模型进行校正。用预测均方根误差(RMSEP)、决定系数(Rp2)和预测集真实值与预测值之间的p值来评价最终模型的性能。与PLS和si-PLS模型相比,ga-PLS模型表现出最好的性能。最优模型仅使用37个光谱数据点,预测集的Rp2 = 0.9996, RMSEP = 0.0488。预测集中茶多酚含量的真实值与预测值之间无显著差异(P < 0.05)。近红外光谱结合ga-PLS算法可以快速预测茯茯茶中总多酚的含量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Effect of variable selection and rapid determination of total tea polyphenols contents in Fuzhuan tea by near-infrared spectroscopy
ABSTRACT This study attempted to measure the total polyphenols contents in Fuzhuan tea by near-infrared (NIR) spectroscopy coupled with an appropriate multivariate calibration method. Partial least squares (PLS), synergy interval PLS (si-PLS), and genetic algorithm-based PLS (ga-PLS) were carried out comparatively to calibrate regression models. The root mean square error of prediction (RMSEP), determination coefficient (Rp2), and P-value between the true and predicted values of prediction set were used to evaluate the performance of the final model. The ga-PLS model showed the best performance compared with the PLS and si-PLS models. The optimal model obtained Rp2 = 0.9996 and RMSEP = 0.0488 for the prediction set using only 37 spectral data points. No significant difference was observed between the true and predicted tea polyphenol contents in the prediction set (P > 0.05). NIR spectroscopy together with the ga-PLS algorithm can be used to rapidly predict the total polyphenol contents in Fuzhuan tea.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Cyta-Journal of Food
Cyta-Journal of Food FOOD SCIENCE & TECHNOLOGY-
CiteScore
4.40
自引率
0.00%
发文量
37
期刊介绍: CyTA – Journal of Food is an Open Access journal that publishes original peer-reviewed research papers dealing with a wide range of subjects which are essential to the food scientist and technologist. Topics include: chemical analysis of food; additives and toxins in food; sensory, nutritional and physiological aspects of food; food microbiology and biotechnology; changes during the processing and storage of foods; effect of the use of agrochemicals in foods; quality control in food; and food engineering and technology.
期刊最新文献
Optimization of the ultrasonic-assisted enzymatic extraction of polysaccharides from Dendrobium offcinale Kimura et Migo and bioactivity study Effects of theasaponin E1 on the regulationglucose uptake of C2C12 myoblasts PI3K/Akt/mTOR signaling pathway Protective effect of bamboo root dietary Fibre on hyperlipidaemia mice induced by high-fat diet The effects of propolis on doxorubicin-induced hepatorenal damage: a comparison of ethanolic and oily extracts of propolis Development and optimization of methylcellulose-based edible coating using response surface methodology for improved quality management of ready-to-eat pomegranate arils
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1