{"title":"可见/近红外光谱和高光谱成像技术有助于快速测定水果中的可溶性固形物含量","authors":"Yiying Zhao, Lei Zhou, Wei Wang, Xiaobin Zhang, Qing Gu, Yihang Zhu, Rongqin Chen, Chu Zhang","doi":"10.1007/s12393-024-09374-6","DOIUrl":null,"url":null,"abstract":"<div><p>Soluble solids content (SSC) is an essential internal quality attribute of fruits that directly affects consumers’ degree of satisfaction. The traditional determination method, the refractometer, is characterized by inherent drawbacks of destructiveness, labor intensiveness, and low efficiency. Visible/near-infrared (VIS/NIR) spectroscopy and hyperspectral imaging (HSI) can be promising alternative approaches as being non-destructive, accurate, and rapid and have attracted extensive attention. This review endeavors to elucidate the advantages and limitations of applying VIS/NIR and HSI techniques in determining fruit SSC, drawing upon a comprehensive analysis of the pertinent literature. The latest progress of instrument configuration is described, and an outline for crucial steps involved in data acquisition and analysis is presented to provide empirical support for future research. Notably, the main internal and external factors that interfere with the model performance in complex application scenarios are comprehensively discussed for the first time. Additionally, the advances in strategies devised to compensate for these interference are summarized. To facilitate the transition of VIS/NIR and HSI techniques for fruit SSC into practical use, future research activities should be focused on addressing the challenges in big data acquisition, sample representativeness, feature fusion, model verification and interpretation, and model improvement.</p></div>","PeriodicalId":565,"journal":{"name":"Food Engineering Reviews","volume":"16 3","pages":"470 - 496"},"PeriodicalIF":5.3000,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Visible/near-infrared Spectroscopy and Hyperspectral Imaging Facilitate the Rapid Determination of Soluble Solids Content in Fruits\",\"authors\":\"Yiying Zhao, Lei Zhou, Wei Wang, Xiaobin Zhang, Qing Gu, Yihang Zhu, Rongqin Chen, Chu Zhang\",\"doi\":\"10.1007/s12393-024-09374-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Soluble solids content (SSC) is an essential internal quality attribute of fruits that directly affects consumers’ degree of satisfaction. The traditional determination method, the refractometer, is characterized by inherent drawbacks of destructiveness, labor intensiveness, and low efficiency. Visible/near-infrared (VIS/NIR) spectroscopy and hyperspectral imaging (HSI) can be promising alternative approaches as being non-destructive, accurate, and rapid and have attracted extensive attention. This review endeavors to elucidate the advantages and limitations of applying VIS/NIR and HSI techniques in determining fruit SSC, drawing upon a comprehensive analysis of the pertinent literature. The latest progress of instrument configuration is described, and an outline for crucial steps involved in data acquisition and analysis is presented to provide empirical support for future research. Notably, the main internal and external factors that interfere with the model performance in complex application scenarios are comprehensively discussed for the first time. Additionally, the advances in strategies devised to compensate for these interference are summarized. To facilitate the transition of VIS/NIR and HSI techniques for fruit SSC into practical use, future research activities should be focused on addressing the challenges in big data acquisition, sample representativeness, feature fusion, model verification and interpretation, and model improvement.</p></div>\",\"PeriodicalId\":565,\"journal\":{\"name\":\"Food Engineering Reviews\",\"volume\":\"16 3\",\"pages\":\"470 - 496\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Food Engineering Reviews\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12393-024-09374-6\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Engineering Reviews","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s12393-024-09374-6","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Visible/near-infrared Spectroscopy and Hyperspectral Imaging Facilitate the Rapid Determination of Soluble Solids Content in Fruits
Soluble solids content (SSC) is an essential internal quality attribute of fruits that directly affects consumers’ degree of satisfaction. The traditional determination method, the refractometer, is characterized by inherent drawbacks of destructiveness, labor intensiveness, and low efficiency. Visible/near-infrared (VIS/NIR) spectroscopy and hyperspectral imaging (HSI) can be promising alternative approaches as being non-destructive, accurate, and rapid and have attracted extensive attention. This review endeavors to elucidate the advantages and limitations of applying VIS/NIR and HSI techniques in determining fruit SSC, drawing upon a comprehensive analysis of the pertinent literature. The latest progress of instrument configuration is described, and an outline for crucial steps involved in data acquisition and analysis is presented to provide empirical support for future research. Notably, the main internal and external factors that interfere with the model performance in complex application scenarios are comprehensively discussed for the first time. Additionally, the advances in strategies devised to compensate for these interference are summarized. To facilitate the transition of VIS/NIR and HSI techniques for fruit SSC into practical use, future research activities should be focused on addressing the challenges in big data acquisition, sample representativeness, feature fusion, model verification and interpretation, and model improvement.
期刊介绍:
Food Engineering Reviews publishes articles encompassing all engineering aspects of today’s scientific food research. The journal focuses on both classic and modern food engineering topics, exploring essential factors such as the health, nutritional, and environmental aspects of food processing. Trends that will drive the discipline over time, from the lab to industrial implementation, are identified and discussed. The scope of topics addressed is broad, including transport phenomena in food processing; food process engineering; physical properties of foods; food nano-science and nano-engineering; food equipment design; food plant design; modeling food processes; microbial inactivation kinetics; preservation technologies; engineering aspects of food packaging; shelf-life, storage and distribution of foods; instrumentation, control and automation in food processing; food engineering, health and nutrition; energy and economic considerations in food engineering; sustainability; and food engineering education.