Multivariate optimization of hyperspectral imaging for adulteration detection of ground beef: Towards the development of generic algorithms to predict adulterated ground beef and for digital sorting

Author:

Achata Eva M.,Mousa Magdi A.A.ORCID,Al-Qurashi Adel D.,Ibrahim Omer H.M.ORCID,Abo-Elyousr Kamal A.M.ORCID,Abdel Aal Ahmed M.K.,Kamruzzaman MohammedORCID

Publisher

Elsevier BV

Subject

Food Science,Biotechnology

Reference48 articles.

1. Development of NIR-HSI and chemometrics process analytical technology for drying of beef jerky;Achata;Innovative Food Science and Emerging Technologies,2021

2. Evaluation of Vis-NIR hyperspectral imaging as a process analytical tool to classify brined pork samples and predict brining salt concentration;Achata;Journal of Food Engineering,2019

3. Visible and NIR hyperspectral imaging and chemometrics for prediction of microbial quality of beef Longissimus dorsi muscle under simulated normal and abuse storage conditions;Achata;Lebensmittel-Wissenschaft & Technologie,2020

4. Detection of red-meat adulteration by deep spectral–spatial features in hyperspectral images;Al-Sarayreh;Journal of Imaging,2018

5. Detection of minced beef adulteration with Turkey meat by UV-vis, NIR and MIR spectroscopy;Alamprese;LWT - Food Science and Technology,2013

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