Identifying freshness of various chilled pork cuts using rapid imaging analysis DOI
Haoran Cheng, Jinglei Li, Yulong Yang

et al.

Journal of the Science of Food and Agriculture, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 9, 2024

Abstract BACKGROUND Determining the freshness of chilled pork is paramount importance to consumers worldwide. Established indicators such as total viable count, volatile basic nitrogen and pH are destructive time‐consuming. Color change in also associated with freshness. However, traditional detection methods using handheld colorimeters expensive, inconvenient prone limitations accuracy. Substantial progress has been made for preservation evaluation. often necessitate expensive equipment or specialized expertise, restricting their accessibility general small‐scale traders. Therefore, developing a user‐friendly, rapid economical method particular importance. RESULTS This study conducted image analysis photographs captured by smartphone cameras stored at 4 °C 7 days. The tracked color changes, which were then used develop predictive models indicators. Compared colorimeters, demonstrated superior stability accuracy data acquisition. Machine learning regression models, particularly random forest decision tree achieved prediction accuracies more than 80% 90%, respectively. CONCLUSION Our provides feasible practical non‐destructive approach determining pork. © 2024 Society Chemical Industry.

Language: Английский

Modification of physicochemical, antioxidant, and antibacterial properties of chitosan film with curcumin-loaded TA/Fe nanoparticles DOI

Shuifang Mao,

Yujun Zeng, Yanming Ren

et al.

Food Hydrocolloids, Journal Year: 2024, Volume and Issue: 160, P. 110722 - 110722

Published: Oct. 11, 2024

Language: Английский

Citations

10
Advancements in metal–organic frameworks impregnated biopolymer-based smart packaging applications: Prospects and future direction DOI
Su Jung Hong, Zohreh Riahi, Ajahar Khan

et al.

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 112816 - 112816

Published: Jan. 1, 2025

Language: Английский

Citations

2
Alginate-based active and intelligent packaging: Preparation, properties, and applications DOI
Hang Li, Zongji Wang, Fan Zhu

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 279, P. 135441 - 135441

Published: Sept. 10, 2024

Language: Английский

Citations

7
Development of novel sodium alginate-based light-responsive controlled-release active packaging film DOI

Haoyue Ning,

Lixin Lu, Yuemei Zhang

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: 304, P. 140780 - 140780

Published: Feb. 7, 2025

Language: Английский

Citations

1
Properties and release behavior of sodium alginate-based nanocomposite active films: Effects of particle size of IRMOF-3 DOI

Haoyue Ning,

Yuemei Zhang, Lixin Lu

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 271, P. 132488 - 132488

Published: May 17, 2024

Language: Английский

Citations

4
Sustainable nanofiber films based on polylactic acid/modified cellulose nanocrystals containing various types of polyphenols, exhibiting antioxidant activity and high stability DOI

Chaoqiao Zhu,

Qingfeng Yang,

Ming Tian

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: 477, P. 143514 - 143514

Published: Feb. 21, 2025

Language: Английский

Citations

0
UV responded modified polyvinyl alcohol bio-active films with oregano essential oil microcapsules: Microbial control and sensory quality preservation for ready-to-eat chicken breast DOI
Lina Xu,

Xinglian Xu,

Mingyuan Huang

et al.

Food Control, Journal Year: 2025, Volume and Issue: unknown, P. 111325 - 111325

Published: March 1, 2025

Language: Английский

Citations

0
Metal Organic Frameworks for Smart Storage and Delivery of Aromatic Volatiles and Essential Oils in Agrifood DOI Creative Commons
Giasemi K. Angeli, Marianna Kotzabasaki, Chrysanthos Maraveas

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(10), P. 5479 - 5479

Published: May 14, 2025

Metal Organic Frameworks (MOFs) are a unique family of tailor-made porous materials that have gained significant attention for their properties and applications in various fields, including agriculture agrifood. The aim this review is to explore the potential MOFs as smart carriers delivery mediums essential oils (EOs) and/or aromatic volatiles. Emphasis given be applied crop protection fresh food preservation. indeed present highly promising physicochemical characteristics order such sectors. To name few, high surface area, tunable porosity, customizable functionalities, make them ideal EOs, which established antimicrobial but wider practical limited by volatility chemical sensitivity. encapsulation EOs enhances stability, controlled release, bioavailability, providing effective solutions sustainable safety. Furthermore, we discuss MOF types, emphasizing most recent literature references, cyclodextrin-based MOFs, Cu2+ based Zn2+ well Zr4+ MOFs. In work, attempt highlight interactions (e.g., pore size functionality), contribute different within We focus on detailed discussion external stimuli can trigger targeted release pH changes caused pathogenic microbial activity. Additionally, examine benefits reduction premature evaporation due volatile nature improved sites. These aspects explored frameworks’ safety enhancement, extended shelf life promotion preservation alternatives. address MOFs’ limitations biocompatibility, scalability stability under field conditions further comprehend EO agrifood applications, protection. Finally, work aims global challenges nutrition agriculture.

Language: Английский

Citations

0
Identifying freshness of various chilled pork cuts using rapid imaging analysis DOI
Haoran Cheng, Jinglei Li, Yulong Yang

et al.

Journal of the Science of Food and Agriculture, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 9, 2024

Abstract BACKGROUND Determining the freshness of chilled pork is paramount importance to consumers worldwide. Established indicators such as total viable count, volatile basic nitrogen and pH are destructive time‐consuming. Color change in also associated with freshness. However, traditional detection methods using handheld colorimeters expensive, inconvenient prone limitations accuracy. Substantial progress has been made for preservation evaluation. often necessitate expensive equipment or specialized expertise, restricting their accessibility general small‐scale traders. Therefore, developing a user‐friendly, rapid economical method particular importance. RESULTS This study conducted image analysis photographs captured by smartphone cameras stored at 4 °C 7 days. The tracked color changes, which were then used develop predictive models indicators. Compared colorimeters, demonstrated superior stability accuracy data acquisition. Machine learning regression models, particularly random forest decision tree achieved prediction accuracies more than 80% 90%, respectively. CONCLUSION Our provides feasible practical non‐destructive approach determining pork. © 2024 Society Chemical Industry.

Language: Английский

Citations

0