{"title":"热切片斜坡热解气相色谱-质谱联用技术通过分子分辨释放能分析来破译油基质的结合强度。","authors":"Kaijun Lu, Jianhong Xue, Zhanfei Liu","doi":"10.1007/s00216-025-06110-9","DOIUrl":null,"url":null,"abstract":"<p><p>Recent advancements in analytical techniques have significantly furthered our understanding of the chemical composition of petroleum and its derivatives. However, there remains a missing link connecting the molecular structure with how specific compounds are bound within the sample matrix. Traditional approaches to study energetic characteristics of petroleum often rely on bulk property measurements (e.g., thermogravimetric analysis), therefore lacking the resolution needed to capture compound-specific interactions and structural information. In this work, we aim to fill the gap between compositional and energetic analyses by employing thermal slicing ramped pyrolysis gas chromatography mass spectrometry (TSRP-GC-MS). TSRP-GC-MS enables the analysis of temperature-dependent release patterns of pyrolyzates, linking molecular structures to energetic characteristics via computing the energy distributions for specific pyrolyzates. Results of the photodegradation experiments demonstrate that as the photodegradation proceeds, the energy required to disrupt the matrix and to release n-alkanes increased from ca. 90 kJ/mol to over 100 kJ/mol, with significant increases for each individual n-alkane. The release energy of individual n-alkanes in crude oil and in tarball collected in the field were further compared in the second case study. The results not only showed an increase from 110 kJ/mol for n-alkanes in crude oil to 118 kJ/mol in tarball, but also revealed a homogenizing trend of the matrix strength of different n-alkanes in the latter. Overall, the proposed TSRP-GC-MS approach offers a powerful tool for advancing our understanding of petroleum and oil and has the potential to be expanded to the study of other complex natural mixtures.</p>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":" ","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deciphering the binding strength of oil matrix through molecularly resolved release energy analysis using thermal slicing ramped pyrolysis GC-MS.\",\"authors\":\"Kaijun Lu, Jianhong Xue, Zhanfei Liu\",\"doi\":\"10.1007/s00216-025-06110-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Recent advancements in analytical techniques have significantly furthered our understanding of the chemical composition of petroleum and its derivatives. However, there remains a missing link connecting the molecular structure with how specific compounds are bound within the sample matrix. Traditional approaches to study energetic characteristics of petroleum often rely on bulk property measurements (e.g., thermogravimetric analysis), therefore lacking the resolution needed to capture compound-specific interactions and structural information. In this work, we aim to fill the gap between compositional and energetic analyses by employing thermal slicing ramped pyrolysis gas chromatography mass spectrometry (TSRP-GC-MS). TSRP-GC-MS enables the analysis of temperature-dependent release patterns of pyrolyzates, linking molecular structures to energetic characteristics via computing the energy distributions for specific pyrolyzates. Results of the photodegradation experiments demonstrate that as the photodegradation proceeds, the energy required to disrupt the matrix and to release n-alkanes increased from ca. 90 kJ/mol to over 100 kJ/mol, with significant increases for each individual n-alkane. The release energy of individual n-alkanes in crude oil and in tarball collected in the field were further compared in the second case study. The results not only showed an increase from 110 kJ/mol for n-alkanes in crude oil to 118 kJ/mol in tarball, but also revealed a homogenizing trend of the matrix strength of different n-alkanes in the latter. Overall, the proposed TSRP-GC-MS approach offers a powerful tool for advancing our understanding of petroleum and oil and has the potential to be expanded to the study of other complex natural mixtures.</p>\",\"PeriodicalId\":462,\"journal\":{\"name\":\"Analytical and Bioanalytical Chemistry\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analytical and Bioanalytical Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1007/s00216-025-06110-9\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical and Bioanalytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1007/s00216-025-06110-9","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Deciphering the binding strength of oil matrix through molecularly resolved release energy analysis using thermal slicing ramped pyrolysis GC-MS.
Recent advancements in analytical techniques have significantly furthered our understanding of the chemical composition of petroleum and its derivatives. However, there remains a missing link connecting the molecular structure with how specific compounds are bound within the sample matrix. Traditional approaches to study energetic characteristics of petroleum often rely on bulk property measurements (e.g., thermogravimetric analysis), therefore lacking the resolution needed to capture compound-specific interactions and structural information. In this work, we aim to fill the gap between compositional and energetic analyses by employing thermal slicing ramped pyrolysis gas chromatography mass spectrometry (TSRP-GC-MS). TSRP-GC-MS enables the analysis of temperature-dependent release patterns of pyrolyzates, linking molecular structures to energetic characteristics via computing the energy distributions for specific pyrolyzates. Results of the photodegradation experiments demonstrate that as the photodegradation proceeds, the energy required to disrupt the matrix and to release n-alkanes increased from ca. 90 kJ/mol to over 100 kJ/mol, with significant increases for each individual n-alkane. The release energy of individual n-alkanes in crude oil and in tarball collected in the field were further compared in the second case study. The results not only showed an increase from 110 kJ/mol for n-alkanes in crude oil to 118 kJ/mol in tarball, but also revealed a homogenizing trend of the matrix strength of different n-alkanes in the latter. Overall, the proposed TSRP-GC-MS approach offers a powerful tool for advancing our understanding of petroleum and oil and has the potential to be expanded to the study of other complex natural mixtures.
期刊介绍:
Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.