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

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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.

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Acknowledgements

The authors are grateful to Dr. Zun Man for giving valuable advice on revising the manuscript.

Funding

This work was supported by the Natural Science Foundation of Zhejiang Province (Grant number [LQ23F050001]) and the Key Laboratory of Smart Management & Application of Modern Agricultural Resources of Zhejiang Province (Grant number [2020E10017]).

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Authors and Affiliations

  1. Institute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China

    Yiying Zhao, Xiaobin Zhang, Qing Gu & Yihang Zhu

  2. College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, 210037, China

    Lei Zhou

  3. Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China

    Wei Wang

  4. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China

    Rongqin Chen

  5. School of Information Engineering, Huzhou University, Huzhou, 313000, China

    Chu Zhang

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  1. Yiying Zhao
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Contributions

Y-Y.Z. and C.Z. performed the literature search and wrote the first draft of the manuscript. Y-Y.Z., L.Z. and C.Z. prepared all the figures and tables. W.W., X-B.Z., Q.G., Y-H.Z. and R-Q.C. offered help in the process of revision. All authors read and approved the final manuscript.

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Zhao, Y., Zhou, L., Wang, W. et al. Visible/near-infrared Spectroscopy and Hyperspectral Imaging Facilitate the Rapid Determination of Soluble Solids Content in Fruits. Food Eng Rev (2024). https://doi.org/10.1007/s12393-024-09374-6

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