{"title":"基于傅立叶变换红外光谱、拉曼光谱和SERS光谱的杀菌剂triadiol的研究","authors":"Bismark Nogueira da Silva , Lorena Alves de Melo Bessa , Flávia Campos Marques , Gustavo Fernandes Souza Andrade , Valdir Lourenço Junior , Eduardo Seiti Gomide Mizubuti , Jairo Tronto , Celly Mieko Shinohara Izumi","doi":"10.1016/j.vibspec.2023.103606","DOIUrl":null,"url":null,"abstract":"<div><p><span><span><span>Fungi are responsible for significant crop losses every year. Due to the modernization and high demand for agriculture, chemical control is used to manage diseases caused by these microorganisms. Triadimenol (TN) is a </span>triazole fungicide widely used to combat these pests, so the characterization of its physical and chemical properties is crucial. However, despite its extensive use, the vibrational study of TN has yet to be published in the literature. In this work, TN was studied by DFT-based analysis and FT-IR, Raman, and SERS spectroscopy. The simulated </span>vibrational spectra<span> of TN obtained from these analyses exhibited good concordance with the experimental spectrum, and the vibrational assignments were consistent with analogous molecules documented in previous studies. The interaction between TN and the surface of silver nanoparticles (AgNPs) was inferred by comparing the theoretical SERS spectrum with experimental SERS and solid-state spectra. Similar to other triazole fungicides, TN also interacts with </span></span>AgNPs through the triazole functional group.</p></div>","PeriodicalId":23656,"journal":{"name":"Vibrational Spectroscopy","volume":"129 ","pages":"Article 103606"},"PeriodicalIF":2.7000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigation of Triadimenol fungicide through DFT-based analysis of FT-IR, Raman, and SERS spectra\",\"authors\":\"Bismark Nogueira da Silva , Lorena Alves de Melo Bessa , Flávia Campos Marques , Gustavo Fernandes Souza Andrade , Valdir Lourenço Junior , Eduardo Seiti Gomide Mizubuti , Jairo Tronto , Celly Mieko Shinohara Izumi\",\"doi\":\"10.1016/j.vibspec.2023.103606\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span><span><span>Fungi are responsible for significant crop losses every year. Due to the modernization and high demand for agriculture, chemical control is used to manage diseases caused by these microorganisms. Triadimenol (TN) is a </span>triazole fungicide widely used to combat these pests, so the characterization of its physical and chemical properties is crucial. However, despite its extensive use, the vibrational study of TN has yet to be published in the literature. In this work, TN was studied by DFT-based analysis and FT-IR, Raman, and SERS spectroscopy. The simulated </span>vibrational spectra<span> of TN obtained from these analyses exhibited good concordance with the experimental spectrum, and the vibrational assignments were consistent with analogous molecules documented in previous studies. The interaction between TN and the surface of silver nanoparticles (AgNPs) was inferred by comparing the theoretical SERS spectrum with experimental SERS and solid-state spectra. Similar to other triazole fungicides, TN also interacts with </span></span>AgNPs through the triazole functional group.</p></div>\",\"PeriodicalId\":23656,\"journal\":{\"name\":\"Vibrational Spectroscopy\",\"volume\":\"129 \",\"pages\":\"Article 103606\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vibrational Spectroscopy\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0924203123001133\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vibrational Spectroscopy","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0924203123001133","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Investigation of Triadimenol fungicide through DFT-based analysis of FT-IR, Raman, and SERS spectra
Fungi are responsible for significant crop losses every year. Due to the modernization and high demand for agriculture, chemical control is used to manage diseases caused by these microorganisms. Triadimenol (TN) is a triazole fungicide widely used to combat these pests, so the characterization of its physical and chemical properties is crucial. However, despite its extensive use, the vibrational study of TN has yet to be published in the literature. In this work, TN was studied by DFT-based analysis and FT-IR, Raman, and SERS spectroscopy. The simulated vibrational spectra of TN obtained from these analyses exhibited good concordance with the experimental spectrum, and the vibrational assignments were consistent with analogous molecules documented in previous studies. The interaction between TN and the surface of silver nanoparticles (AgNPs) was inferred by comparing the theoretical SERS spectrum with experimental SERS and solid-state spectra. Similar to other triazole fungicides, TN also interacts with AgNPs through the triazole functional group.
期刊介绍:
Vibrational Spectroscopy provides a vehicle for the publication of original research that focuses on vibrational spectroscopy. This covers infrared, near-infrared and Raman spectroscopies and publishes papers dealing with developments in applications, theory, techniques and instrumentation.
The topics covered by the journal include:
Sampling techniques,
Vibrational spectroscopy coupled with separation techniques,
Instrumentation (Fourier transform, conventional and laser based),
Data manipulation,
Spectra-structure correlation and group frequencies.
The application areas covered include:
Analytical chemistry,
Bio-organic and bio-inorganic chemistry,
Organic chemistry,
Inorganic chemistry,
Catalysis,
Environmental science,
Industrial chemistry,
Materials science,
Physical chemistry,
Polymer science,
Process control,
Specialized problem solving.