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Food Analytical Methods

, Volume 12, Issue 9, pp 2078–2085 | Cite as

Influences of Detection Position and Double Detection Regions on Determining Soluble Solids Content (SSC) for Apples Using On-line Visible/Near-Infrared (Vis/NIR) Spectroscopy

  • Xiao Xu
  • Jiancan Mo
  • Lijuan XieEmail author
  • Yibin Ying
Article

Abstract

With increasing living standards, more attention has been drawn to the eating quality of fruits. To meet the standards of market and consumers, on-line fruits grading in terms of the internal qualities, such as soluble solids content (SSC), is necessary in the industrial scale. Near-infrared (NIR) spectroscopy technology has advantages of being rapid, safe, non-destructive, and environmentally friendly; thus, it was widely applied in this area. Therefore, in the present work, an on-line near-infrared SSC detection system for apples based on bicone roller transportation was used to compare the influences of detection positions and double detection regions with the help of mono-branch optical fiber and binary-branch optical fiber on the performance of the prediction models. Better prediction models were obtained at the specific position than those at the random one. The system with the binary-branch optical fiber proved superior robustness, while that with the mono-branch optical fiber proved superior accuracy. The optimal model, when considering robustness and accuracy, had a root mean square error of calibration (RMSEC), determination coefficient of calibration (\( {R}_C^2 \)), root mean square error of validation (RMSEP), and determination coefficient of validation (\( {R}_P^2 \)) of 0.568%, 0.7319, 0.610%, and 0.6295, respectively. It was established by data simultaneously detected in two different regions utilizing the binary-branch optical fiber at the specific position. This work provided a possible solution on improving the model robustness in the practical application of on-line NIR detection for the SSC measurement of apples.

Keywords

Near-infrared On-line Apple Detection position Detection region Optical fiber 

Notes

Funding

This study was funded by the National Key Research and Development Project (grant number 2017YFC1600805).

Compliance with Ethical Standards

Conflict of Interest

Xiao Xu declares that she has no conflict of interest. Jiancan Mo declares that she has no conflict of interest. Lijuan Xie declares that she has no conflict of interest. Yibin Ying declares that he has no conflict of interest.

Ethical Approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Xiao Xu
    • 1
    • 2
  • Jiancan Mo
    • 3
  • Lijuan Xie
    • 1
    • 2
    Email author
  • Yibin Ying
    • 1
    • 2
    • 4
  1. 1.College of Biosystems Engineering and Food ScienceZhejiang UniversityZhejiangPR China
  2. 2.Key Laboratory of On Site Processing Equipment for Agricultural ProductsMinistry of AgricultureHangzhouPR China
  3. 3.Zhejiang Zhongduo Smart Manufacturing Co., Ltd.ZhejiangPR China
  4. 4.Faculty of Agricultural and Food ScienceZhejiang A&F UniversityZhejiangPR China

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