一种综合二维气相色谱-质谱法中化合物鉴别验证的实用方法。

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Friscilla Hermatasia,Apitchaya Sanchai,Nuttanee Tungkijanansin,Phichaphop Raqsaboon,Puttaruksa Varanusupakul,Sornkanok Vimolmangkang,Ploy N Pratanwanich,Chadin Kulsing
{"title":"一种综合二维气相色谱-质谱法中化合物鉴别验证的实用方法。","authors":"Friscilla Hermatasia,Apitchaya Sanchai,Nuttanee Tungkijanansin,Phichaphop Raqsaboon,Puttaruksa Varanusupakul,Sornkanok Vimolmangkang,Ploy N Pratanwanich,Chadin Kulsing","doi":"10.1021/acs.analchem.5c04590","DOIUrl":null,"url":null,"abstract":"A simple curve-fitting approach for the retention index (I) calculation without reference compound injection was established. This was applied to validate compound identification data in comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC × GC-MS). Different models were investigated for calculating I in the first (1D) and second (2D) dimensional separations (1ICal and 2ICal, respectively) with the input data of compound names, elution temperature (Te), and experimental retention time (tR,Exp) of peaks, taking into account the wraparound effect. By comparing ICal and the literature I (ILit) of 495 compounds, a more suitable model was the exponential equation containing eight coefficients, which showed average R2 of 0.9982 and 0.9957, mean absolute error (MAE) of 8.29 and 12.89, and root mean squared error (RMSE) of 11.63 and 16.48 for 1I and 2I comparisons, respectively. For compound validation, the initial assumption was that most of the peaks in a data set were identified with the correct compound names. The least-squares curve fitting was then performed to match 1ICal and 2ICal with 1ILit and 2ILit of these compounds. The compounds could be validated with correct identities when the fitting shows 1I and 2I differences (Δ1I = 1ILit - 1ICal and Δ2I = 2ILit - 2ICal, respectively) within ±60 units. Compounds showing |Δ1I| or |Δ2I| outside this range (observed with the coordinates out of the linear trendline of the ICal vs ILit plot) were suspected with incorrect identities. The developed approach was applied to validate 1741 peaks of 15 samples analyzed in this study. By using tentative identification based on \"only MS\" and \"MS and 1I\" identification criteria, 536 (out of 995) and 534 (out of 746) compounds, respectively, were suspected to have incorrect identities. Example reannotation of 61 peaks with more correct identities was also demonstrated. In addition, the approach was used to screen 1285 (out of 7445) suspected compounds in 85 GC × GC-MS results reported from the literature.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"41 1","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Practical Approach for Validation of Compound Identification in Comprehensive Two-Dimensional Gas Chromatography-Mass Spectrometry.\",\"authors\":\"Friscilla Hermatasia,Apitchaya Sanchai,Nuttanee Tungkijanansin,Phichaphop Raqsaboon,Puttaruksa Varanusupakul,Sornkanok Vimolmangkang,Ploy N Pratanwanich,Chadin Kulsing\",\"doi\":\"10.1021/acs.analchem.5c04590\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A simple curve-fitting approach for the retention index (I) calculation without reference compound injection was established. This was applied to validate compound identification data in comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC × GC-MS). Different models were investigated for calculating I in the first (1D) and second (2D) dimensional separations (1ICal and 2ICal, respectively) with the input data of compound names, elution temperature (Te), and experimental retention time (tR,Exp) of peaks, taking into account the wraparound effect. By comparing ICal and the literature I (ILit) of 495 compounds, a more suitable model was the exponential equation containing eight coefficients, which showed average R2 of 0.9982 and 0.9957, mean absolute error (MAE) of 8.29 and 12.89, and root mean squared error (RMSE) of 11.63 and 16.48 for 1I and 2I comparisons, respectively. For compound validation, the initial assumption was that most of the peaks in a data set were identified with the correct compound names. The least-squares curve fitting was then performed to match 1ICal and 2ICal with 1ILit and 2ILit of these compounds. The compounds could be validated with correct identities when the fitting shows 1I and 2I differences (Δ1I = 1ILit - 1ICal and Δ2I = 2ILit - 2ICal, respectively) within ±60 units. Compounds showing |Δ1I| or |Δ2I| outside this range (observed with the coordinates out of the linear trendline of the ICal vs ILit plot) were suspected with incorrect identities. The developed approach was applied to validate 1741 peaks of 15 samples analyzed in this study. By using tentative identification based on \\\"only MS\\\" and \\\"MS and 1I\\\" identification criteria, 536 (out of 995) and 534 (out of 746) compounds, respectively, were suspected to have incorrect identities. Example reannotation of 61 peaks with more correct identities was also demonstrated. In addition, the approach was used to screen 1285 (out of 7445) suspected compounds in 85 GC × GC-MS results reported from the literature.\",\"PeriodicalId\":27,\"journal\":{\"name\":\"Analytical Chemistry\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2025-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analytical Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1021/acs.analchem.5c04590\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.analchem.5c04590","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

摘要

建立了一种计算保留指数的简单曲线拟合方法。该方法应用于综合二维气相色谱-质谱联用(GC × GC- ms)中化合物鉴定数据的验证。以化合物名称、洗脱温度(Te)和峰的实验保留时间(tR,Exp)为输入数据,考虑环绕效应,研究了不同的模型来计算一维(1D)和二维(2D)分离(1ICal和2ICal)的I。通过对495个化合物的ICal和文献I (ILit)进行比较,得出了更合适的模型为包含8个系数的指数方程,在第1次和第2次比较中,平均R2分别为0.9982和0.9957,平均绝对误差(MAE)分别为8.29和12.89,均方根误差(RMSE)分别为11.63和16.48。对于化合物验证,最初的假设是数据集中的大多数峰都是用正确的化合物名称识别的。然后进行最小二乘曲线拟合,将1ICal和2ICal与这些化合物的1ILit和2ILit进行匹配。当拟合在±60个单位内显示1I和2I差异(分别为Δ1I = 1ILit - 1ICal和Δ2I = 2ILit - 2ICal)时,可以验证化合物的正确身份。在这个范围之外显示|Δ1I|或|Δ2I|的化合物(用ICal vs ILit图的线性趋势线之外的坐标观察到)被怀疑是错误的身份。应用该方法验证了本研究分析的15个样品的1741个峰。通过“仅MS”和“MS + 1I”鉴定标准的初步鉴定,995个化合物中分别有536个和746个化合物中分别有534个化合物存在鉴别错误。最后给出了对61个峰进行重新标注的实例。此外,该方法还从文献报道的85个GC × GC- ms结果中筛选出了1285个(7445个)可疑化合物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Practical Approach for Validation of Compound Identification in Comprehensive Two-Dimensional Gas Chromatography-Mass Spectrometry.
A simple curve-fitting approach for the retention index (I) calculation without reference compound injection was established. This was applied to validate compound identification data in comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC × GC-MS). Different models were investigated for calculating I in the first (1D) and second (2D) dimensional separations (1ICal and 2ICal, respectively) with the input data of compound names, elution temperature (Te), and experimental retention time (tR,Exp) of peaks, taking into account the wraparound effect. By comparing ICal and the literature I (ILit) of 495 compounds, a more suitable model was the exponential equation containing eight coefficients, which showed average R2 of 0.9982 and 0.9957, mean absolute error (MAE) of 8.29 and 12.89, and root mean squared error (RMSE) of 11.63 and 16.48 for 1I and 2I comparisons, respectively. For compound validation, the initial assumption was that most of the peaks in a data set were identified with the correct compound names. The least-squares curve fitting was then performed to match 1ICal and 2ICal with 1ILit and 2ILit of these compounds. The compounds could be validated with correct identities when the fitting shows 1I and 2I differences (Δ1I = 1ILit - 1ICal and Δ2I = 2ILit - 2ICal, respectively) within ±60 units. Compounds showing |Δ1I| or |Δ2I| outside this range (observed with the coordinates out of the linear trendline of the ICal vs ILit plot) were suspected with incorrect identities. The developed approach was applied to validate 1741 peaks of 15 samples analyzed in this study. By using tentative identification based on "only MS" and "MS and 1I" identification criteria, 536 (out of 995) and 534 (out of 746) compounds, respectively, were suspected to have incorrect identities. Example reannotation of 61 peaks with more correct identities was also demonstrated. In addition, the approach was used to screen 1285 (out of 7445) suspected compounds in 85 GC × GC-MS results reported from the literature.
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
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信