Visible/near-infrared Spectroscopy and Hyperspectral Imaging Facilitate the Rapid Determination of Soluble Solids Content in Fruits

IF 5.3 2区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY
Yiying Zhao, Lei Zhou, Wei Wang, Xiaobin Zhang, Qing Gu, Yihang Zhu, Rongqin Chen, Chu Zhang
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引用次数: 0

Abstract

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.

Abstract Image

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
可溶性固形物含量(SSC)是水果的一项基本内在质量属性,直接影响消费者的满意程度。传统的测定方法(折射仪)存在破坏性大、劳动强度高、效率低等固有缺点。可见光/近红外(VIS/NIR)光谱法和高光谱成像(HSI)因其非破坏性、准确性和快速性而成为有前途的替代方法,并引起了广泛关注。本综述通过对相关文献的全面分析,努力阐明应用 VIS/NIR 和 HSI 技术测定果实 SSC 的优势和局限性。文章介绍了仪器配置的最新进展,并概述了数据采集和分析的关键步骤,为今后的研究提供了经验支持。值得注意的是,首次全面讨论了在复杂应用场景中干扰模型性能的主要内部和外部因素。此外,还总结了为弥补这些干扰而设计的策略的进展。为促进用于水果 SSC 的 VIS/NIR 和 HSI 技术向实际应用过渡,未来的研究活动应侧重于解决大数据采集、样本代表性、特征融合、模型验证和解释以及模型改进等方面的挑战。
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来源期刊
Food Engineering Reviews
Food Engineering Reviews FOOD SCIENCE & TECHNOLOGY-
CiteScore
14.20
自引率
1.50%
发文量
27
审稿时长
>12 weeks
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.
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