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Statistical Machine Learning Techniques Applied to NIR Spectral Data for Rapid Detection of Sudan Dye-I in Turmeric Powders with Optimized Pre-processing and Wavelength Selection

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Date 2024 Sep 17
PMID 39285995
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Abstract

Supplementary Information: The online version contains supplementary material available at 10.1007/s13197-024-05971-9.

References
1.
Yeow S, Shahar A, Abdul Aziz N, Anuar M, Yusof Y, Taip F . The influence of operational parameters and feed preparation in a convective batch ribbon powder mixer. Drug Des Devel Ther. 2011; 5:465-9. PMC: 3232173. DOI: 10.2147/DDDT.S25047. View

2.
Konc J . Identification of neurological disease targets of natural products by computational screening. Neural Regen Res. 2019; 14(12):2075-2076. PMC: 6788253. DOI: 10.4103/1673-5374.262576. View

3.
Kuttan R, Bhanumathy P, Nirmala K, George M . Potential anticancer activity of turmeric (Curcuma longa). Cancer Lett. 1985; 29(2):197-202. DOI: 10.1016/0304-3835(85)90159-4. View

4.
Ferreira G, Garcia H, Couri M, Dos Santos H, De Oliveira L . On the azo/hydrazo equilibrium in Sudan I azo dye derivatives. J Phys Chem A. 2013; 117(3):642-9. DOI: 10.1021/jp310229h. View

5.
Rajasekaran S . Therapeutic potential of curcumin in gastrointestinal diseases. World J Gastrointest Pathophysiol. 2011; 2(1):1-14. PMC: 3097964. DOI: 10.4291/wjgp.v2.i1.1. View