Kamruzzaman M - Search Results

1

Optimizing feature selection with gradient boosting machines in PLS regression for predicting moisture and protein in multi-country corn kernels via NIR spectroscopy.

Zheng R, Jia Y, Ullagaddi C, Allen C, Rausch K, Singh V, Schnable JC, Kamruzzaman M. Zheng R, et al. Among authors: kamruzzaman m. Food Chem. 2024 Oct 30;456:140062. doi: 10.1016/j.foodchem.2024.140062. Epub 2024 Jun 10. Food Chem. 2024. PMID: 38876073 Free article.

2

Parsimonious model development for real-time monitoring of moisture in red meat using hyperspectral imaging.

Kamruzzaman M, Makino Y, Oshita S. Kamruzzaman M, et al. Food Chem. 2016 Apr 1;196:1084-91. doi: 10.1016/j.foodchem.2015.10.051. Epub 2015 Oct 22. Food Chem. 2016. PMID: 26593592

3

Identification of informative spectral ranges for predicting major chemical constituents in corn using NIR spectroscopy.

Fatemi A, Singh V, Kamruzzaman M. Fatemi A, et al. Among authors: kamruzzaman m. Food Chem. 2022 Jul 30;383:132442. doi: 10.1016/j.foodchem.2022.132442. Epub 2022 Feb 12. Food Chem. 2022. PMID: 35182865

4

Global calibration for non-targeted fraud detection in quinoa flour using portable hyperspectral imaging and chemometrics.

Wu Q, Mousa MAA, Al-Qurashi AD, Ibrahim OHM, Abo-Elyousr KAM, Rausch K, Abdel Aal AMK, Kamruzzaman M. Wu Q, et al. Among authors: kamruzzaman m. Curr Res Food Sci. 2023 Mar 17;6:100483. doi: 10.1016/j.crfs.2023.100483. eCollection 2023. Curr Res Food Sci. 2023. PMID: 37033735 Free PMC article.

5

Advancements, limitations and challenges in hyperspectral imaging for comprehensive assessment of wheat quality: An up-to-date review.

Wang Y, Ou X, He HJ, Kamruzzaman M. Wang Y, et al. Among authors: kamruzzaman m. Food Chem X. 2024 Feb 16;21:101235. doi: 10.1016/j.fochx.2024.101235. eCollection 2024 Mar 30. Food Chem X. 2024. PMID: 38420503 Free PMC article. Review.

6

Portable and miniature sensors in supply chain for food authentication: a review.

He HJ, da Silva Ferreira MV, Wu Q, Karami H, Kamruzzaman M. He HJ, et al. Among authors: kamruzzaman m. Crit Rev Food Sci Nutr. 2024 Jul 27:1-21. doi: 10.1080/10408398.2024.2380837. Online ahead of print. Crit Rev Food Sci Nutr. 2024. PMID: 39066550 Review.

7

Application of NIR spectroscopy and multivariate analysis for Non-destructive evaluation of apple moisture content during ultrasonic drying.

Malvandi A, Feng H, Kamruzzaman M. Malvandi A, et al. Among authors: kamruzzaman m. Spectrochim Acta A Mol Biomol Spectrosc. 2022 Mar 15;269:120733. doi: 10.1016/j.saa.2021.120733. Epub 2021 Dec 10. Spectrochim Acta A Mol Biomol Spectrosc. 2022. PMID: 34920303

8

Effect of variable selection algorithms on model performance for predicting moisture content in biological materials using spectral data.

Kamruzzaman M, Kalita D, Ahmed MT, ElMasry G, Makino Y. Kamruzzaman M, et al. Anal Chim Acta. 2022 Apr 15;1202:339390. doi: 10.1016/j.aca.2021.339390. Epub 2021 Dec 21. Anal Chim Acta. 2022. PMID: 35341534

9

Handheld and benchtop vis/NIR spectrometer combined with PLS regression for fast prediction of cocoa shell in cocoa powder.

Oliveira MM, Badaró AT, Esquerre CA, Kamruzzaman M, Barbin DF. Oliveira MM, et al. Among authors: kamruzzaman m. Spectrochim Acta A Mol Biomol Spectrosc. 2023 Oct 5;298:122807. doi: 10.1016/j.saa.2023.122807. Epub 2023 Apr 30. Spectrochim Acta A Mol Biomol Spectrosc. 2023. PMID: 37148660

10

Non-destructive assessment of instrumental and sensory tenderness of lamb meat using NIR hyperspectral imaging.

Kamruzzaman M, Elmasry G, Sun DW, Allen P. Kamruzzaman M, et al. Food Chem. 2013 Nov 1;141(1):389-96. doi: 10.1016/j.foodchem.2013.02.094. Epub 2013 Mar 14. Food Chem. 2013. PMID: 23768372

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