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Developments and Challenges in Online NIR Spectroscopy for Meat Processing.

Y Dixit1, Maria P Casado-Gavalda1, R Cama-Moncunill1

  • 1School of Food Science and Environmental Health, Dublin Inst. of Technology, Dublin 1, Ireland.

Comprehensive Reviews in Food Science and Food Safety
|December 29, 2020
PubMed
Summary
This summary is machine-generated.

Near-Infrared (NIR) spectroscopy offers a rapid and cost-effective method for meat quality control and adulteration detection. This review highlights its on/inline applications, demonstrating its growing potential for the meat industry.

Keywords:
chemometricsmeatnear-infrared spectroscopyon/inlineprobe

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Area of Science:

  • Food Science
  • Analytical Chemistry
  • Spectroscopy

Background:

  • Meat and meat products are widely consumed globally.
  • Increasing consumer demand for quality and authenticity necessitates advanced food analysis.
  • Traditional methods for meat analysis are often time-consuming and labor-intensive.

Purpose of the Study:

  • To review the on/inline applications of Near-Infrared (NIR) spectroscopy for meat and meat product analysis.
  • To assess the effectiveness of NIR spectroscopy in estimating meat quality parameters and detecting adulteration.
  • To discuss the advancements, challenges, and future prospects of NIR technology in the meat industry.

Main Methods:

  • Comprehensive literature review of studies published between 1996 and 2017.
  • Focus on single and multiprobe NIR spectroscopy for on/inline monitoring.
  • Analysis of various chemometric techniques used in conjunction with NIR spectroscopy.

Main Results:

  • NIR spectroscopy is a fast, cost-effective tool for analyzing meat quality parameters (e.g., composition, freshness).
  • NIR spectroscopy effectively detects adulteration in meat products.
  • On/inline NIR applications provide real-time monitoring capabilities for the meat industry.

Conclusions:

  • NIR spectroscopy, combined with chemometrics, shows significant potential as a reliable on/inline tool for meat industry quality control.
  • Advancements in NIR technology and data analysis techniques enhance its applicability and accuracy.
  • Further research is needed to address challenges and fully exploit the future prospects of NIR spectroscopy in meat analysis.