journal article Open Access Jan 01, 2026

Harnessing machine learning for chicken meat quality evaluation using curcumin-loaded methylcellulose intelligent films

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Abstract
Curcumin-loaded methylcellulose intelligent films, integrated with machine learning, enable real-time monitoring of chicken meat spoilage.
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References
38
[1]
El-Saadony Poult. Sci. (2023) 10.1016/j.psj.2023.102786
[2]
Thames Foods (2020) 10.3390/foods9060776
[3]
Tan Flavour Fragrance J. (2019) 10.1002/ffj.3500
[4]
Esposito Front. Nutr. (2022) 10.3389/fnut.2022.966790
[5]
Silva J. Chromatogr. Libr. (2005) 10.1016/s0301-4770(05)80018-1
[6]
Yildiz Int. J. Biol. Macromol. (2021) 10.1016/j.ijbiomac.2020.12.160
[7]
Ahmed Int. J. Biomater. (2024) 10.1155/2024/7949258
[8]
Kanatt Food Packag. Shelf Life (2020) 10.1016/j.fpsl.2020.100506
[9]
Aghaei Food Bioprocess Technol. (2018) 10.1007/s11947-017-2046-5
[10]
Roy Materials (2022) 10.3390/ma15196615
[11]
Erna Carbohydr. Polym. Technol. Appl. (2022)
[12]
Liu Food Hydrocoll. (2018) 10.1016/j.foodhyd.2018.05.012
[13]
Musso Food Hydrocoll. (2017) 10.1016/j.foodhyd.2016.11.007
[14]
Cvek ACS Appl. Mater. Interfaces (2022) 10.1021/acsami.2c02181
[15]
He Molecules (2025) 10.3390/molecules30071610
[16]
Li Foods (2023) 10.3390/foods12152976
[17]
On-site colorimetric food spoilage monitoring with smartphone embedded machine learning

Vakkas Doğan, Melodi Evliya, Leyla Nesrin Kahyaoglu et al.

Talanta 2024 10.1016/j.talanta.2023.125021
[18]
Mazur Adv. Mater. (2024) 10.1002/adma.202404274
[19]
ASTM International , E96/E96M-Standard Test Methods for Gravimetric Determination of Water Vapor Transmission Rate of Materials, ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959 , United States , 10.1520/E0096_E0096M-24 10.1520/e0096_e0096m-24
[20]
ASTM International , ASTM-D882 Standard Test Method for Tensile Properties of Thin Plastic Sheeting, ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959 , United States , 10.1520/D0882-18 10.1520/d0882-18
[21]
Chandra Varsha Food Control (2026) 10.1016/j.foodcont.2025.111798
[22]
Investigating the impact of data normalization on classification performance

Dalwinder Singh, Birmohan Singh

Applied Soft Computing 2020 10.1016/j.asoc.2019.105524
[23]
Cai Food Chem. (2011) 10.1016/j.foodchem.2010.11.098
[24]
Cross-linked methyl cellulose films with murta fruit extract for antioxidant and antimicrobial active food packaging

Carol López de Dicastillo, Fernanda Bustos, Abel Guarda et al.

Food Hydrocolloids 2016 10.1016/j.foodhyd.2016.03.020
[25]
Zhang Foods (2023) 10.3390/foods12030547
[26]
Roy Int. J. Biol. Macromol. (2020) 10.1016/j.ijbiomac.2020.01.204
[27]
Roy Food Hydrocoll. (2020) 10.1016/j.foodhyd.2019.105302
[28]
Liu Food Hydrocoll. (2022) 10.1016/j.foodhyd.2022.107690
[29]
Taghavi Kevij Food Hydrocoll. (2020) 10.1016/j.foodhyd.2020.106026
[30]
Baek Starch (2019) 10.1002/star.201800174
[31]
Xie Molecules (2021) 10.3390/molecules26082152
[32]
Botalo Polymers (2024) 10.3390/polym16040447
[33]
Gong Talanta (2023) 10.1016/j.talanta.2022.124057
[34]
Cao Food Hydrocoll. (2024) 10.1016/j.foodhyd.2024.110059
[35]
Yan Int. J. Biol. Macromol. (2021) 10.1016/j.ijbiomac.2021.02.137
[36]
Baty J. Am. Inst. Conserv. (2007) 10.1179/019713607806112332
[37]
Moreira Acta Biomater. (2009) 10.1016/j.actbio.2009.04.021
[38]
Determinants of broiler chicken meat quality and factors affecting them: a review

Nasir Akbar Mir, Aasima Rafiq, Faneshwar Kumar et al.

Journal of Food Science and Technology 2017 10.1007/s13197-017-2789-z
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Published
Jan 01, 2026
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Funding
Central Food Technological Research Institute, Council of Scientific and Industrial Research Award: MLP-0305 WP1
Cite This Article
Suresh Chandra Varsha, Ashique Thazheparamban, Arunkumar Panneerselvam (2026). Harnessing machine learning for chicken meat quality evaluation using curcumin-loaded methylcellulose intelligent films. Sustainable Food Technology. https://doi.org/10.1039/d5fb00583c
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