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Updated: May 31, 2026

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
Published on: November 8, 2019
[Current progress in food geographical origin traceability by near infrared spectroscopy technology]
Dong-Hong Ma1, Xi-Chang Wang, Li-Ping Liu
1College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China. dong_fly_high@163.com
Near-infrared spectroscopy (NIR) offers a fast, non-polluting method for tracing food
Area of Science:
- Food Science and Technology
- Analytical Chemistry
- Spectroscopy
Background:
- Food geographical origin traceability is crucial for ensuring food quality and safety.
- Traditional traceability methods face challenges in accuracy and efficiency.
- Near-infrared spectroscopy (NIR) has emerged as a promising technique for this purpose.
Purpose of the Study:
- To review and compare various techniques used for food geographical origin traceability.
- To elucidate the principles and applications of NIR spectroscopy in food traceability.
- To analyze current challenges and future trends in applying NIR for food origin determination.
Main Methods:
- Literature review of existing food traceability techniques.
- Explanation of the fundamental principles of Near-infrared spectroscopy.
- Case studies and examples of NIR applications in tracing the geographical origin of different food products.
Main Results:
- NIR spectroscopy demonstrates significant advantages including speed, non-pollution, and ease of operation.
- Various techniques for food geographical origin traceability have been evaluated, highlighting their respective pros and cons.
- Successful applications of NIR in distinguishing the origin of diverse food items have been documented.
Conclusions:
- Near-infrared spectroscopy is a powerful and advantageous tool for food geographical origin traceability.
- Addressing current application challenges is key to further advancing NIR technology in this field.
- Future research should focus on refining NIR methodologies and expanding its application scope for robust food traceability.
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