Rapid detection of sunset yellow adulteration in tea powder with variable selection coupled to machine learning tools using spectral data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Food Science
Link
https://link.springer.com/content/pdf/10.1007/s13197-023-05694-3.pdf
Reference30 articles.
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3. Breiman L (2001) Random forests. Mach Learn 45(1):5–32
4. Cebi N, Yilmaz MT, Sagdic O (2017) A rapid ATR-FTIR spectroscopic method for detection of sibutramine adulteration in tea and coffee based on hierarchical cluster and principal component analyses. Food Chem 229:517–526
5. Chanda S, Hazarika AK, Choudhury N, Islam SA, Manna R, Sabhapondit S et al (2019) Support vector machine regression on selected wavelength regions for quantitative analysis of caffeine in tea leaves by near infrared spectroscopy. J Chemom 33(10):e3172
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