Multi-instrument spectroscopic study for authentication of curcumin content in commercial turmeric powders using machine learning algorithms-Reference-Cited by-同舟云学术

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Multi-instrument spectroscopic study for authentication of curcumin content in commercial turmeric powders using machine learning algorithms

Published:2024-10 Issue: Volume:134 Page:106543
ISSN:0889-1575
Container-title:Journal of Food Composition and Analysis
language:en
Short-container-title:Journal of Food Composition and Analysis

Author:

Amsaraj Rani,Ranjan Rishi,Rachaiah Bhanu Prakash,Mutturi Sarma

Publisher

Elsevier BV

Reference55 articles.

1. Determination of curcuminoid content in turmeric using fluorescence spectroscopy;Ali;Spectrochim. Acta Part A: Mol. Biomol. Spectrosc.,2019

2. Variable selection coupled to PLS2, ANN and SVM for simultaneous detection of multiple adulterants in milk using spectral data;Amsaraj;Int. Dairy J.,2021

3. Real-coded GA coupled to PLS for rapid detection and quantification of tartrazine in tea using FT-IR spectroscopy;Amsaraj;LWT,2021

4. Random forests;Breiman;Mach. Learn.,2001

5. Chen, T. and Guestrin, C., 2016, August. Xgboost: A scalable tree boosting system. In Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining (pp. 785-794).

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