Development of chemometrics method based on infrared spectroscopy for the determination of cement composition and process optimization

IF 1.8 Q3 CHEMISTRY, ANALYTICAL Journal of Chemical Metrology Pub Date : 2022-12-15 DOI:10.25135/jcm.76.2210.2601
D. Ozdemir, Dilek Tepeli, M. Gümüş
{"title":"Development of chemometrics method based on infrared spectroscopy for the determination of cement composition and process optimization","authors":"D. Ozdemir, Dilek Tepeli, M. Gümüş","doi":"10.25135/jcm.76.2210.2601","DOIUrl":null,"url":null,"abstract":": In combination with a multivariate calibration method, FTIR-ATR spectroscopy was presented as a rapid method for the determination of some major oxides (CaO, SiO 2 , Al 2 O 3 , Fe 2 O 3 ) and minor oxides (MgO, SO 4 , Na 2 O, and K 2 O) in diverse materials (raw material, raw meal, additives, clinker, and types of cement) in cement manufacturing. The FTIR spectroscopy based multivariate models were generated by taking X-ray fluorescence (XRF) as a reference method. Among a number of spectral preprocessing methods, extended multiplicative scatter correction (EMSC) yielded the best PLS models. The standard error of prediction (SEP) for the optimal FTIR based PLS models ranged from 0.10 to 2.07 (w/w%), and the regression coefficient (R 2 ) ranged from 0.95 to 0.99 for PLS predicted vs XRF reference plots. Statistical evaluation of the both methods was carried out by paired t-test at the 95% confidence level and the results showed that the FTIR-ATR combined with PLS model results are consistent with the XRF reference measurements for all the oxides studied. Compared to the XRF method, which can take anywhere from a few minutes to an hour for each measurement, the proposed method is faster, cheaper, and safer. The presented technology also allows rapid monitoring of a cement factory production line.","PeriodicalId":15343,"journal":{"name":"Journal of Chemical Metrology","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chemical Metrology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25135/jcm.76.2210.2601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

: In combination with a multivariate calibration method, FTIR-ATR spectroscopy was presented as a rapid method for the determination of some major oxides (CaO, SiO 2 , Al 2 O 3 , Fe 2 O 3 ) and minor oxides (MgO, SO 4 , Na 2 O, and K 2 O) in diverse materials (raw material, raw meal, additives, clinker, and types of cement) in cement manufacturing. The FTIR spectroscopy based multivariate models were generated by taking X-ray fluorescence (XRF) as a reference method. Among a number of spectral preprocessing methods, extended multiplicative scatter correction (EMSC) yielded the best PLS models. The standard error of prediction (SEP) for the optimal FTIR based PLS models ranged from 0.10 to 2.07 (w/w%), and the regression coefficient (R 2 ) ranged from 0.95 to 0.99 for PLS predicted vs XRF reference plots. Statistical evaluation of the both methods was carried out by paired t-test at the 95% confidence level and the results showed that the FTIR-ATR combined with PLS model results are consistent with the XRF reference measurements for all the oxides studied. Compared to the XRF method, which can take anywhere from a few minutes to an hour for each measurement, the proposed method is faster, cheaper, and safer. The presented technology also allows rapid monitoring of a cement factory production line.
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
基于红外光谱的水泥成分测定化学计量学方法的发展及工艺优化
结合多元校准方法,提出了FTIR-ATR光谱作为一种快速测定水泥制造中不同材料(原料、生料、添加剂、熟料和水泥类型)中一些主要氧化物(CaO、sio2、Al 2o3、Fe 2o3)和次要氧化物(MgO、so4、Na 2o和k2o)的方法。以x射线荧光(XRF)为参考方法,建立了基于FTIR光谱的多元模型。在众多的光谱预处理方法中,扩展乘法散射校正(EMSC)得到了最好的PLS模型。基于FTIR的最佳PLS模型的预测标准误差(SEP)范围为0.10 ~ 2.07 (w/w%), PLS预测与XRF参考图的回归系数(r2)范围为0.95 ~ 0.99。两种方法在95%置信水平上进行配对t检验,结果表明,FTIR-ATR结合PLS模型的结果与所研究的所有氧化物的XRF参考测量结果一致。与每次测量需要几分钟到一个小时的XRF方法相比,该方法更快、更便宜、更安全。该技术还可以实现水泥厂生产线的快速监控。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Chemical Metrology
Journal of Chemical Metrology CHEMISTRY, ANALYTICAL-
CiteScore
2.30
自引率
15.40%
发文量
7
期刊最新文献
Gradient reversed-phase HPLC method for the quantitation of azelnidipine and chlorthalidone in a fixed-dose synthetic mixture A new HPLC-UV method for the simultaneous measurements of α-escin and β-escin in creams containing Aesculus hippocastanum L. extract Quantification of main secondary metabolites of Satureja icarica P.H. Davis (Lamiaceae) by LC-HRMS and evaluation of antioxidant capacities An effective HPLC method for evaluation of process related impurities of Letermovir and LC-MS/MS characterization of forced degradation compounds A validated RP-HPLC assay method for Tofacitinib in pharmaceutical drug products
×
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