基于近红外光谱的亚硝酸钠在线测量方法

IF 3.7 3区工程技术 Q2 CHEMISTRY, ANALYTICAL

Chemosensors Pub Date : 2024-01-31 DOI:10.3390/chemosensors12020022

Xianzhe Xu, Yongshen Zhang, Mingmin Zhang, Dingming Li, Chen Zuo

{"title":"基于近红外光谱的亚硝酸钠在线测量方法","authors":"Xianzhe Xu, Yongshen Zhang, Mingmin Zhang, Dingming Li, Chen Zuo","doi":"10.3390/chemosensors12020022","DOIUrl":null,"url":null,"abstract":"In this study, a method was developed for the rapid online measurement of sodium nitrite solutions using near-infrared spectroscopy. A series of standard solutions of sodium nitrite at different concentrations were prepared, and the samples were measured in cuvettes and flow cells. Following the preprocessing of raw spectra and band selection, partial least squares were used to establish a prediction model, and the coefficient of determination (R2) of the validation set and the root mean square error of prediction (RMSEP) of the model were 0.9989 and 0.0338. The results demonstrate that the established model can meet the demands of online measurement and perform the rapid, nondestructive detection of sodium nitrite solutions, which provides some basis for the automated formulation of feedstock in spent fuel reprocessing.","PeriodicalId":10057,"journal":{"name":"Chemosensors","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Online Measurement of Sodium Nitrite Based on Near-Infrared Spectroscopy\",\"authors\":\"Xianzhe Xu, Yongshen Zhang, Mingmin Zhang, Dingming Li, Chen Zuo\",\"doi\":\"10.3390/chemosensors12020022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, a method was developed for the rapid online measurement of sodium nitrite solutions using near-infrared spectroscopy. A series of standard solutions of sodium nitrite at different concentrations were prepared, and the samples were measured in cuvettes and flow cells. Following the preprocessing of raw spectra and band selection, partial least squares were used to establish a prediction model, and the coefficient of determination (R2) of the validation set and the root mean square error of prediction (RMSEP) of the model were 0.9989 and 0.0338. The results demonstrate that the established model can meet the demands of online measurement and perform the rapid, nondestructive detection of sodium nitrite solutions, which provides some basis for the automated formulation of feedstock in spent fuel reprocessing.\",\"PeriodicalId\":10057,\"journal\":{\"name\":\"Chemosensors\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemosensors\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.3390/chemosensors12020022\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemosensors","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3390/chemosensors12020022","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}

引用次数: 0

摘要

本研究开发了一种利用近红外光谱快速在线测量亚硝酸钠溶液的方法。制备了一系列不同浓度的亚硝酸钠标准溶液，并在比色皿和流动池中对样品进行了测量。在对原始光谱进行预处理和波段选择后，利用偏最小二乘法建立了预测模型，验证集的判定系数（R2）和模型的预测均方根误差（RMSEP）分别为 0.9989 和 0.0338。结果表明，所建立的模型能够满足在线测量的要求，对亚硝酸钠溶液进行快速、无损检测，为乏燃料后处理中原料的自动配制提供了一定的依据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Online Measurement of Sodium Nitrite Based on Near-Infrared Spectroscopy

In this study, a method was developed for the rapid online measurement of sodium nitrite solutions using near-infrared spectroscopy. A series of standard solutions of sodium nitrite at different concentrations were prepared, and the samples were measured in cuvettes and flow cells. Following the preprocessing of raw spectra and band selection, partial least squares were used to establish a prediction model, and the coefficient of determination (R2) of the validation set and the root mean square error of prediction (RMSEP) of the model were 0.9989 and 0.0338. The results demonstrate that the established model can meet the demands of online measurement and perform the rapid, nondestructive detection of sodium nitrite solutions, which provides some basis for the automated formulation of feedstock in spent fuel reprocessing.

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

Chemosensors Chemistry-Analytical Chemistry

CiteScore

5.00

自引率

9.50%

发文量

450

审稿时长

11 weeks

期刊介绍： Chemosensors (ISSN 2227-9040; CODEN: CHEMO9) is an international, scientific, open access journal on the science and technology of chemical sensors published quarterly online by MDPI.