Lucas H. Pereira, Jerusa S. Garcia, Marcello G. Trevisan
{"title":"月见草油掺假大豆油的检测:差示扫描量热法和化学计量学","authors":"Lucas H. Pereira, Jerusa S. Garcia, Marcello G. Trevisan","doi":"10.1007/s10973-024-13609-3","DOIUrl":null,"url":null,"abstract":"<div><p>Adulteration is performed by adding inferior products imperceptible by consumers. Consequently, the objective of this work was to develop and use analytical methods to detect adulterants in Evening Primrose Oil (EPO) through differential scanning calorimetry (DSC) with a controlled cooling/heating system and chemometrics. For such a purpose, binary mixtures were prepared using soybean oil as adulterant. It was weighed and prepared in a ratio ranging from 5 to 95% (m/m). Samples were submitted to DSC based on the following parameters: dynamic atmosphere of N<sub>2</sub> (50 mL min<sup>−1</sup>); temperatures ranging from 283.15 to 198.15 K and from 198.15 to 283.15 K; cooling/heating rate of 275.15 K min<sup>−1</sup>; about 25 mg of sample in an aluminum crucible. Chemometric models were constructed from the DSC heating curves and normalized by the respective initial masses of samples. Data were pre-processed, normalized by their respective standard deviations and mean center. Results of multivariate analyzes were also compared with univariate calibration using T<sub>onset</sub> data (referring to the EPO melting point). Chemometric models were successfully constructed to quantify the level of adulteration, showing RMSE (mean squared errors) of 2.23 and 3.27% m/m for PLS and iPLS (Partial Least Squares and interval Partial Least Squares), respectively. The univariate model demonstrated linearity ranging from 15 to 80% m/m and reached RMSE of 1.06% m/m, thus being an outstanding alternative for a preliminary analysis aimed to reveal the presence of soybean oil in EPO. Therefore, the strategy of coupling DSC with chemometrics for detecting soybean oil in EPO proved to be satisfactory.</p></div>","PeriodicalId":678,"journal":{"name":"Journal of Thermal Analysis and Calorimetry","volume":"149 21","pages":"11671 - 11680"},"PeriodicalIF":3.0000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection of evening primrose oil adulterated with soybean oil: differential scanning calorimetry and chemometrics\",\"authors\":\"Lucas H. Pereira, Jerusa S. Garcia, Marcello G. Trevisan\",\"doi\":\"10.1007/s10973-024-13609-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Adulteration is performed by adding inferior products imperceptible by consumers. Consequently, the objective of this work was to develop and use analytical methods to detect adulterants in Evening Primrose Oil (EPO) through differential scanning calorimetry (DSC) with a controlled cooling/heating system and chemometrics. For such a purpose, binary mixtures were prepared using soybean oil as adulterant. It was weighed and prepared in a ratio ranging from 5 to 95% (m/m). Samples were submitted to DSC based on the following parameters: dynamic atmosphere of N<sub>2</sub> (50 mL min<sup>−1</sup>); temperatures ranging from 283.15 to 198.15 K and from 198.15 to 283.15 K; cooling/heating rate of 275.15 K min<sup>−1</sup>; about 25 mg of sample in an aluminum crucible. Chemometric models were constructed from the DSC heating curves and normalized by the respective initial masses of samples. Data were pre-processed, normalized by their respective standard deviations and mean center. Results of multivariate analyzes were also compared with univariate calibration using T<sub>onset</sub> data (referring to the EPO melting point). Chemometric models were successfully constructed to quantify the level of adulteration, showing RMSE (mean squared errors) of 2.23 and 3.27% m/m for PLS and iPLS (Partial Least Squares and interval Partial Least Squares), respectively. The univariate model demonstrated linearity ranging from 15 to 80% m/m and reached RMSE of 1.06% m/m, thus being an outstanding alternative for a preliminary analysis aimed to reveal the presence of soybean oil in EPO. Therefore, the strategy of coupling DSC with chemometrics for detecting soybean oil in EPO proved to be satisfactory.</p></div>\",\"PeriodicalId\":678,\"journal\":{\"name\":\"Journal of Thermal Analysis and Calorimetry\",\"volume\":\"149 21\",\"pages\":\"11671 - 11680\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Thermal Analysis and Calorimetry\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10973-024-13609-3\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Thermal Analysis and Calorimetry","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10973-024-13609-3","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Detection of evening primrose oil adulterated with soybean oil: differential scanning calorimetry and chemometrics
Adulteration is performed by adding inferior products imperceptible by consumers. Consequently, the objective of this work was to develop and use analytical methods to detect adulterants in Evening Primrose Oil (EPO) through differential scanning calorimetry (DSC) with a controlled cooling/heating system and chemometrics. For such a purpose, binary mixtures were prepared using soybean oil as adulterant. It was weighed and prepared in a ratio ranging from 5 to 95% (m/m). Samples were submitted to DSC based on the following parameters: dynamic atmosphere of N2 (50 mL min−1); temperatures ranging from 283.15 to 198.15 K and from 198.15 to 283.15 K; cooling/heating rate of 275.15 K min−1; about 25 mg of sample in an aluminum crucible. Chemometric models were constructed from the DSC heating curves and normalized by the respective initial masses of samples. Data were pre-processed, normalized by their respective standard deviations and mean center. Results of multivariate analyzes were also compared with univariate calibration using Tonset data (referring to the EPO melting point). Chemometric models were successfully constructed to quantify the level of adulteration, showing RMSE (mean squared errors) of 2.23 and 3.27% m/m for PLS and iPLS (Partial Least Squares and interval Partial Least Squares), respectively. The univariate model demonstrated linearity ranging from 15 to 80% m/m and reached RMSE of 1.06% m/m, thus being an outstanding alternative for a preliminary analysis aimed to reveal the presence of soybean oil in EPO. Therefore, the strategy of coupling DSC with chemometrics for detecting soybean oil in EPO proved to be satisfactory.
期刊介绍:
Journal of Thermal Analysis and Calorimetry is a fully peer reviewed journal publishing high quality papers covering all aspects of thermal analysis, calorimetry, and experimental thermodynamics. The journal publishes regular and special issues in twelve issues every year. The following types of papers are published: Original Research Papers, Short Communications, Reviews, Modern Instruments, Events and Book reviews.
The subjects covered are: thermogravimetry, derivative thermogravimetry, differential thermal analysis, thermodilatometry, differential scanning calorimetry of all types, non-scanning calorimetry of all types, thermometry, evolved gas analysis, thermomechanical analysis, emanation thermal analysis, thermal conductivity, multiple techniques, and miscellaneous thermal methods (including the combination of the thermal method with various instrumental techniques), theory and instrumentation for thermal analysis and calorimetry.