{"title":"Identification of cigarettes with different grades by using FTIR microspectroscopy","authors":"","doi":"10.1016/j.saa.2024.125249","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, FTIR microspectroscopy was used to identify the cigarettes of three different grades such as Jinwan cigarettes (J group), Yinxiangyipin cigarettes (Y group) and Hongsanhuan cigarettes (H group). IR spectra and peak-area ratios (A<sub>2923</sub> /A<sub>816</sub>, A<sub>1601</sub> /A<sub>2923</sub>, A<sub>1601</sub>/A<sub>920</sub> and A<sub>1072</sub>/A<sub>816</sub>) revealed significant differences among H, Y and J groups, reflecting the changes in chemical compositions with increased grade. Discriminant analysis was carried out on basis of the above peak-area ratios, achieving 100% accuracy for identification of H, Y and J groups. Principal component analysis (PCA) showed that carbohydrates and proteins were closely related to the quality of the cigarettes. In addition, curve fitting further confirmed that the structure of carbohydrates underwent changes due to the quality of the cigarettes. The above results suggest that FTIR microspectroscopy can identify different grades of the cigarettes, which may be helpful for tobacco research.</div></div>","PeriodicalId":433,"journal":{"name":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S138614252401415X","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SPECTROSCOPY","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, FTIR microspectroscopy was used to identify the cigarettes of three different grades such as Jinwan cigarettes (J group), Yinxiangyipin cigarettes (Y group) and Hongsanhuan cigarettes (H group). IR spectra and peak-area ratios (A2923 /A816, A1601 /A2923, A1601/A920 and A1072/A816) revealed significant differences among H, Y and J groups, reflecting the changes in chemical compositions with increased grade. Discriminant analysis was carried out on basis of the above peak-area ratios, achieving 100% accuracy for identification of H, Y and J groups. Principal component analysis (PCA) showed that carbohydrates and proteins were closely related to the quality of the cigarettes. In addition, curve fitting further confirmed that the structure of carbohydrates underwent changes due to the quality of the cigarettes. The above results suggest that FTIR microspectroscopy can identify different grades of the cigarettes, which may be helpful for tobacco research.
期刊介绍:
Spectrochimica Acta, Part A: Molecular and Biomolecular Spectroscopy (SAA) is an interdisciplinary journal which spans from basic to applied aspects of optical spectroscopy in chemistry, medicine, biology, and materials science.
The journal publishes original scientific papers that feature high-quality spectroscopic data and analysis. From the broad range of optical spectroscopies, the emphasis is on electronic, vibrational or rotational spectra of molecules, rather than on spectroscopy based on magnetic moments.
Criteria for publication in SAA are novelty, uniqueness, and outstanding quality. Routine applications of spectroscopic techniques and computational methods are not appropriate.
Topics of particular interest of Spectrochimica Acta Part A include, but are not limited to:
Spectroscopy and dynamics of bioanalytical, biomedical, environmental, and atmospheric sciences,
Novel experimental techniques or instrumentation for molecular spectroscopy,
Novel theoretical and computational methods,
Novel applications in photochemistry and photobiology,
Novel interpretational approaches as well as advances in data analysis based on electronic or vibrational spectroscopy.