用ATR/FTIR和多变量校准法测定柴油中的硫

Q3 Physics and Astronomy Ecletica Quimica Pub Date : 2018-01-16 DOI:10.1590/S0100-46702010000200008
I. Soares, T. Rezende, I. Fortes
{"title":"用ATR/FTIR和多变量校准法测定柴油中的硫","authors":"I. Soares, T. Rezende, I. Fortes","doi":"10.1590/S0100-46702010000200008","DOIUrl":null,"url":null,"abstract":"The aim of this present work was to provide a more fast, simple and less expensive to analyze sulfur content in diesel samples than by the standard methods currently used. Thus, samples of diesel fuel with sulfur concentrations varying from 400 and 2500 mgkg-1 were analyzed by two methodologies: X-ray fluorescence, according to ASTM D4294 and by Fourier transform infrared spectrometry (FTIR). The spectral data obtained from FTIR were used to build multivariate calibration models by partial least squares (PLS). Four models were built in three different ways: 1) a model using the full spectra (665 to 4000 cm-1), 2) two models using some specific spectrum regions and 3) a model with variable selected by classic method of variable selection stepwise. The model obtained by variable selection stepwise and the model built with region spectra between 665 and 856 cm-1 and 1145 and 2717 cm-1 showed better results in the determination of sulfur content.","PeriodicalId":35894,"journal":{"name":"Ecletica Quimica","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1590/S0100-46702010000200008","citationCount":"2","resultStr":"{\"title\":\"Determination of sulfur in diesel using ATR/FTIR and multivariate calibration\",\"authors\":\"I. Soares, T. Rezende, I. Fortes\",\"doi\":\"10.1590/S0100-46702010000200008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this present work was to provide a more fast, simple and less expensive to analyze sulfur content in diesel samples than by the standard methods currently used. Thus, samples of diesel fuel with sulfur concentrations varying from 400 and 2500 mgkg-1 were analyzed by two methodologies: X-ray fluorescence, according to ASTM D4294 and by Fourier transform infrared spectrometry (FTIR). The spectral data obtained from FTIR were used to build multivariate calibration models by partial least squares (PLS). Four models were built in three different ways: 1) a model using the full spectra (665 to 4000 cm-1), 2) two models using some specific spectrum regions and 3) a model with variable selected by classic method of variable selection stepwise. The model obtained by variable selection stepwise and the model built with region spectra between 665 and 856 cm-1 and 1145 and 2717 cm-1 showed better results in the determination of sulfur content.\",\"PeriodicalId\":35894,\"journal\":{\"name\":\"Ecletica Quimica\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1590/S0100-46702010000200008\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecletica Quimica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1590/S0100-46702010000200008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Physics and Astronomy\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecletica Quimica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/S0100-46702010000200008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Physics and Astronomy","Score":null,"Total":0}
引用次数: 2

摘要

本工作的目的是提供一种比目前使用的标准方法更快速、更简单、更便宜的方法来分析柴油样品中的硫含量。因此,硫浓度在400和2500 mgkg-1之间的柴油燃料样品通过两种方法进行分析:根据ASTM D4294的X射线荧光法和傅里叶变换红外光谱法(FTIR)。利用傅立叶变换红外光谱数据,通过偏最小二乘法(PLS)建立多元校准模型。以三种不同的方式建立了四个模型:1)使用全光谱(665至4000cm-1)的模型,2)使用一些特定光谱区域的两个模型,以及3)通过经典的变量逐步选择方法选择变量的模型。通过逐步选择变量得到的模型和用665和856cm-1以及1145和2717cm-1之间的区域光谱建立的模型在硫含量的测定中显示出更好的结果。
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
Determination of sulfur in diesel using ATR/FTIR and multivariate calibration
The aim of this present work was to provide a more fast, simple and less expensive to analyze sulfur content in diesel samples than by the standard methods currently used. Thus, samples of diesel fuel with sulfur concentrations varying from 400 and 2500 mgkg-1 were analyzed by two methodologies: X-ray fluorescence, according to ASTM D4294 and by Fourier transform infrared spectrometry (FTIR). The spectral data obtained from FTIR were used to build multivariate calibration models by partial least squares (PLS). Four models were built in three different ways: 1) a model using the full spectra (665 to 4000 cm-1), 2) two models using some specific spectrum regions and 3) a model with variable selected by classic method of variable selection stepwise. The model obtained by variable selection stepwise and the model built with region spectra between 665 and 856 cm-1 and 1145 and 2717 cm-1 showed better results in the determination of sulfur content.
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
Ecletica Quimica
Ecletica Quimica Chemistry-Chemistry (all)
CiteScore
1.70
自引率
0.00%
发文量
32
审稿时长
28 weeks
期刊最新文献
Optimizing sewage water of Perum Pesona Permata Gading with the assistance of Cu/Mg electrodes as public street lighting based on green technology electricity Estimation of nitrogen dioxide levels on streets from Fortaleza Brazil using passive sampling and multivariate analysis Complex compound of trinitrotriamminecobalt(III): in theoretical studies In memoriam of Cecilia Laluce (1940 - 2023) Phytochemical screening, antiproliferative evaluation, and molecular docking studies of Acacia nilotica fruit from Nigeria
×
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