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Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
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Fruit quality evaluation using spectroscopy technology: a review.

Hailong Wang1, Jiyu Peng2, Chuanqi Xie3

  • 1College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. hl_wang@zju.edu.cn.

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Summary

Visible and near-infrared (Vis/NIR) spectroscopy and imaging techniques offer effective methods for assessing fruit quality and distinguishing varieties. These spectral methods are crucial for objective fruit analysis and quality control in agriculture.

Keywords:
SSCVis/NIRaciditycharacteristic wavelengthchemometricsdiscriminationfruit quality

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Area of Science:

  • Agricultural Science
  • Analytical Chemistry
  • Food Science

Background:

  • Objective quality assessment and variety discrimination are critical for fruit commercialization.
  • Traditional methods for fruit quality analysis are often destructive, time-consuming, and subjective.
  • Spectroscopic and imaging techniques offer non-destructive, rapid, and objective alternatives.

Purpose of the Study:

  • To provide a comprehensive overview of visible and near-infrared (Vis/NIR) spectroscopy, multispectral imaging, and hyperspectral imaging applications in fruit quality assessment.
  • To review the use of chemometric methods for data analysis in fruit quality studies.
  • To identify challenges and future research directions for spectral and imaging techniques in fruit analysis.

Main Methods:

  • Review of published literature on the application of Vis/NIR spectroscopy, multispectral imaging, and hyperspectral imaging for fruit quality attributes and variety discrimination.
  • Introduction to commonly used chemometric techniques including data pretreatment, variable selection, discriminant analysis, and calibration modeling.
  • Discussion on different spectral modes (reflectance, interactance, transmittance) and their feasibility for various fruit types.

Main Results:

  • Vis/NIR spectroscopy and imaging techniques have been successfully applied to various fruit species including apple, orange, kiwifruit, peach, grape, strawberry, jujube, banana, and mango.
  • Primary applications focus on variety discrimination, soluble solids content (SSC), acidity, and firmness measurement.
  • Other attributes like dry matter, vitamin C, polyphenols, and pigments can also be measured using these spectral techniques.

Conclusions:

  • Vis/NIR spectroscopy and imaging are powerful, non-destructive tools for fruit quality assessment and variety identification.
  • Chemometrics plays a vital role in extracting meaningful information from spectral data for accurate predictions.
  • Further research is needed to improve model robustness and transferability across different environments and instruments.