Qiang Hu , Xinxin Feng , Lan Wang , Lili Zhang , Xueping Chen , Yanyun Wang , Guangfa Xie , Qi Peng
{"title":"利用台式近红外光谱仪和微型近红外光谱仪结合化学计量学快速鉴别不同地区的黄酒","authors":"Qiang Hu , Xinxin Feng , Lan Wang , Lili Zhang , Xueping Chen , Yanyun Wang , Guangfa Xie , Qi Peng","doi":"10.1016/j.infrared.2025.105904","DOIUrl":null,"url":null,"abstract":"<div><div>Near Infrared (NIR) technology plays a crucial role in food authenticity and origin identification. This study evaluates benchtop-NIR and Micro-NIR technologies, combined with chemometrics, to differentiate Huangjiu (Chinese rice wine) origins. Both models demonstrated strong performance, with Micro-NIR excelling in identification and prediction over benchtop-NIR. Spectral data from Huangjiu across various regions were used to develop a chemometric discrimination model. Benchtop-NIR’s database utilized first derivative preprocessing, while the sub-database employed second derivative and vector normalization. Micro-NIR used Savitzky-Golay (S.Golay), Standard Normal Variate (SNV), and Normalize Peak preprocessing, achieving 100% accuracy. Benchtop-NIR’s Q<sup>2</sup> was 0.939, R<sup>2</sup>X [1] 0.738, R<sup>2</sup>X [2] 0.202, and R<sup>2</sup> 0.94. Micro-NIR outperformed with Q<sup>2</sup> at 0.983, R<sup>2</sup>X [1] 0.981, R<sup>2</sup>X [2] 0.00627, and R<sup>2</sup> at 0.988. This study significantly advances the geographical identification of Huangjiu using NIR technology.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"149 ","pages":"Article 105904"},"PeriodicalIF":3.1000,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rapid discrimination of Chinese rice Wine (Huangjiu) from various regions using Benchtop-NIR and Micro-NIR spectrometers in conjunction with chemometrics\",\"authors\":\"Qiang Hu , Xinxin Feng , Lan Wang , Lili Zhang , Xueping Chen , Yanyun Wang , Guangfa Xie , Qi Peng\",\"doi\":\"10.1016/j.infrared.2025.105904\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Near Infrared (NIR) technology plays a crucial role in food authenticity and origin identification. This study evaluates benchtop-NIR and Micro-NIR technologies, combined with chemometrics, to differentiate Huangjiu (Chinese rice wine) origins. Both models demonstrated strong performance, with Micro-NIR excelling in identification and prediction over benchtop-NIR. Spectral data from Huangjiu across various regions were used to develop a chemometric discrimination model. Benchtop-NIR’s database utilized first derivative preprocessing, while the sub-database employed second derivative and vector normalization. Micro-NIR used Savitzky-Golay (S.Golay), Standard Normal Variate (SNV), and Normalize Peak preprocessing, achieving 100% accuracy. Benchtop-NIR’s Q<sup>2</sup> was 0.939, R<sup>2</sup>X [1] 0.738, R<sup>2</sup>X [2] 0.202, and R<sup>2</sup> 0.94. Micro-NIR outperformed with Q<sup>2</sup> at 0.983, R<sup>2</sup>X [1] 0.981, R<sup>2</sup>X [2] 0.00627, and R<sup>2</sup> at 0.988. This study significantly advances the geographical identification of Huangjiu using NIR technology.</div></div>\",\"PeriodicalId\":13549,\"journal\":{\"name\":\"Infrared Physics & Technology\",\"volume\":\"149 \",\"pages\":\"Article 105904\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infrared Physics & Technology\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1350449525001975\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INSTRUMENTS & INSTRUMENTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infrared Physics & Technology","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1350449525001975","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}
Rapid discrimination of Chinese rice Wine (Huangjiu) from various regions using Benchtop-NIR and Micro-NIR spectrometers in conjunction with chemometrics
Near Infrared (NIR) technology plays a crucial role in food authenticity and origin identification. This study evaluates benchtop-NIR and Micro-NIR technologies, combined with chemometrics, to differentiate Huangjiu (Chinese rice wine) origins. Both models demonstrated strong performance, with Micro-NIR excelling in identification and prediction over benchtop-NIR. Spectral data from Huangjiu across various regions were used to develop a chemometric discrimination model. Benchtop-NIR’s database utilized first derivative preprocessing, while the sub-database employed second derivative and vector normalization. Micro-NIR used Savitzky-Golay (S.Golay), Standard Normal Variate (SNV), and Normalize Peak preprocessing, achieving 100% accuracy. Benchtop-NIR’s Q2 was 0.939, R2X [1] 0.738, R2X [2] 0.202, and R2 0.94. Micro-NIR outperformed with Q2 at 0.983, R2X [1] 0.981, R2X [2] 0.00627, and R2 at 0.988. This study significantly advances the geographical identification of Huangjiu using NIR technology.
期刊介绍:
The Journal covers the entire field of infrared physics and technology: theory, experiment, application, devices and instrumentation. Infrared'' is defined as covering the near, mid and far infrared (terahertz) regions from 0.75um (750nm) to 1mm (300GHz.) Submissions in the 300GHz to 100GHz region may be accepted at the editors discretion if their content is relevant to shorter wavelengths. Submissions must be primarily concerned with and directly relevant to this spectral region.
Its core topics can be summarized as the generation, propagation and detection, of infrared radiation; the associated optics, materials and devices; and its use in all fields of science, industry, engineering and medicine.
Infrared techniques occur in many different fields, notably spectroscopy and interferometry; material characterization and processing; atmospheric physics, astronomy and space research. Scientific aspects include lasers, quantum optics, quantum electronics, image processing and semiconductor physics. Some important applications are medical diagnostics and treatment, industrial inspection and environmental monitoring.