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Recent Advances in Emerging Techniques for Optical Properties Analysis of Fruits and Vegetables: A Review.

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Title: Recent Advances in Emerging Techniques for Optical Properties Analysis of Fruits and Vegetables: A Review.
Authors: Xia, Yu1 (AUTHOR) yuxia@sust.edu.cn, Lei, Huibing1 (AUTHOR) leihuibing_2024@163.com, Zhang, Wei1 (AUTHOR) zw13834810441@163.com, Che, Tianci1 (AUTHOR) 201906010807@sust.edu.cn, Yang, Yuye1 (AUTHOR) m18192273182@163.com, Liu, Wenbo1 (AUTHOR) wbliu@sust.edu.cn, Kang, Jie1 (AUTHOR) kangjie@sust.edu.cn, Tang, Wei1 (AUTHOR) wtang906@163.com, Fan, Shuxiang2 (AUTHOR) fanshuxiang@outlook.com
Source: Food & Bioprocess Technology. Jun2026, Vol. 19 Issue 6, p1-36. 36p.
Subjects: Optical properties, Time-resolved spectroscopy, Vegetables, Product quality, Optical spectroscopy, Spectrometry
Abstract: To address the challenges in the measurement accuracy of traditional visible/near-infrared spectroscopy for the quality evaluation of fruits and vegetables—caused by instrumental variability and environmental conditions—a systematic review of optical properties technology was presented in this paper. The principles, detection systems, and applications of four key optical property measurement technologies—integrating sphere (IS) spectroscopy, time-resolved (TR) spectroscopy, spatially resolved (SR) spectroscopy, and spatial frequency domain imaging (SFDI)—were systematically analyzed, with an emphasis on their roles in defect detection, early damage assessment, quality prediction, and classification of fruits and vegetables. The current limitations and critical challenges of existing optical property measurement technologies were summarized, including the failure of diffusion approximation, structural heterogeneity, and non-standardized calibration protocols. In response to these challenges, targeted solutions and optimization strategies were proposed, such as compound correction algorithms, multidimensional adaptive modeling, and multi-technology integration approaches. This review aims to provide a comprehensive reference and innovative insights for optical property measurement technologies in the quality evaluation of fruits and vegetables, striving to enhance the accuracy and reliability of detection methods to ultimately support the development of advanced quality control systems and related detection equipment for modern agricultural produce. [ABSTRACT FROM AUTHOR]
Copyright of Food & Bioprocess Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: Recent Advances in Emerging Techniques for Optical Properties Analysis of Fruits and Vegetables: A Review.
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  Data: <searchLink fieldCode="AR" term="%22Xia%2C+Yu%22">Xia, Yu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yuxia@sust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Lei%2C+Huibing%22">Lei, Huibing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> leihuibing_2024@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Wei%22">Zhang, Wei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zw13834810441@163.com</i><br /><searchLink fieldCode="AR" term="%22Che%2C+Tianci%22">Che, Tianci</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 201906010807@sust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Yuye%22">Yang, Yuye</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> m18192273182@163.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Wenbo%22">Liu, Wenbo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wbliu@sust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Kang%2C+Jie%22">Kang, Jie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kangjie@sust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Tang%2C+Wei%22">Tang, Wei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wtang906@163.com</i><br /><searchLink fieldCode="AR" term="%22Fan%2C+Shuxiang%22">Fan, Shuxiang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> fanshuxiang@outlook.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Food+%26+Bioprocess+Technology%22">Food & Bioprocess Technology</searchLink>. Jun2026, Vol. 19 Issue 6, p1-36. 36p.
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  Data: <searchLink fieldCode="DE" term="%22Optical+properties%22">Optical properties</searchLink><br /><searchLink fieldCode="DE" term="%22Time-resolved+spectroscopy%22">Time-resolved spectroscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Vegetables%22">Vegetables</searchLink><br /><searchLink fieldCode="DE" term="%22Product+quality%22">Product quality</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+spectroscopy%22">Optical spectroscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrometry%22">Spectrometry</searchLink>
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  Label: Abstract
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  Data: To address the challenges in the measurement accuracy of traditional visible/near-infrared spectroscopy for the quality evaluation of fruits and vegetables—caused by instrumental variability and environmental conditions—a systematic review of optical properties technology was presented in this paper. The principles, detection systems, and applications of four key optical property measurement technologies—integrating sphere (IS) spectroscopy, time-resolved (TR) spectroscopy, spatially resolved (SR) spectroscopy, and spatial frequency domain imaging (SFDI)—were systematically analyzed, with an emphasis on their roles in defect detection, early damage assessment, quality prediction, and classification of fruits and vegetables. The current limitations and critical challenges of existing optical property measurement technologies were summarized, including the failure of diffusion approximation, structural heterogeneity, and non-standardized calibration protocols. In response to these challenges, targeted solutions and optimization strategies were proposed, such as compound correction algorithms, multidimensional adaptive modeling, and multi-technology integration approaches. This review aims to provide a comprehensive reference and innovative insights for optical property measurement technologies in the quality evaluation of fruits and vegetables, striving to enhance the accuracy and reliability of detection methods to ultimately support the development of advanced quality control systems and related detection equipment for modern agricultural produce. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Food & Bioprocess Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=192924003
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11947-026-04276-3
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      – Code: eng
        Text: English
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        PageCount: 36
        StartPage: 1
    Subjects:
      – SubjectFull: Optical properties
        Type: general
      – SubjectFull: Time-resolved spectroscopy
        Type: general
      – SubjectFull: Vegetables
        Type: general
      – SubjectFull: Product quality
        Type: general
      – SubjectFull: Optical spectroscopy
        Type: general
      – SubjectFull: Spectrometry
        Type: general
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      – TitleFull: Recent Advances in Emerging Techniques for Optical Properties Analysis of Fruits and Vegetables: A Review.
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            NameFull: Xia, Yu
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            NameFull: Lei, Huibing
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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