A review on the role of pH-sensitive natural pigments in biopolymers based intelligent food packaging films

Kumar, Yogesh; Bist, Yograj; Thakur, Diksha; Nagar, Mohit; Saxena, Dharmesh Chandra

doi:10.1016/j.ijbiomac.2024.133869

International Journal of Biological Macromolecules

2024

DOI: 10.1016/j.ijbiomac.2024.133869

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A review on the role of pH-sensitive natural pigments in biopolymers based intelligent food packaging films

Yogesh Kumar,

Yograj Bist,

Diksha Thakur

et al.

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Cited by 3 publications

References 82 publications

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Development of a Novel Colorimetric pH Biosensor Based on A-Motif Structures for Rapid Food Freshness Monitoring and Spoilage Detection

Wang,

Zhang

et al. 2024

Biosensors

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Accurate methods for assessing food freshness through colorimetric pH response play a critical role in determining food spoilage and ensuring food quality standards. This study introduces a novel unlabeled DNA sequence, poly-dA20, designed to exploit the colorimetric properties of both the single strand and the fold-back A-motif structure in conjunction with gold nanoparticles (AuNPs) under varying pH conditions. When exposed to storage temperatures of 4 °C and 25 °C, the color variations in the AuNP solution, influenced by pH level changes in mutton and sea bass samples’ different storage periods, are easily discernible to the naked eye within a minute. The ratio of UV absorption values at 527 nm and 700 nm (A527/A700) demonstrates a strong linear correlation with both the storage duration and pH of the food samples. Furthermore, a comprehensive analysis combining the total volatile basic nitrogen (TVB-N) value with the A527/A700 ratio is employed for precise assessment of food freshness. The innovative pH-responsive sensing strategy not only provides a new approach for on-site food freshness and spoilage detection systems but also serves as a valuable tool for pH-related biological detection in clinical diagnostic applications.

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Development of a Novel Colorimetric pH Biosensor Based on A-Motif Structures for Rapid Food Freshness Monitoring and Spoilage Detection

Wang,

Zhang

et al. 2024

Biosensors

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Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review

Malashin,

Martysyuk,

Tynchenko

et al. 2024

Polymers

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The integration of machine learning (ML) into material manufacturing has driven advancements in optimizing biopolymer production processes. ML techniques, applied across various stages of biopolymer production, enable the analysis of complex data generated throughout production, identifying patterns and insights not easily observed through traditional methods. As sustainable alternatives to petrochemical-based plastics, biopolymers present unique challenges due to their reliance on variable bio-based feedstocks and complex processing conditions. This review systematically summarizes the current applications of ML techniques in biopolymer production, aiming to provide a comprehensive reference for future research while highlighting the potential of ML to enhance efficiency, reduce costs, and improve product quality. This review also shows the role of ML algorithms, including supervised, unsupervised, and deep learning algorithms, in optimizing biopolymer manufacturing processes.

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Innovations in Food Packaging: From Bio-Based Materials to Smart Packaging Systems

D’Almeida,

de Albuquerque

2024

Processes

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This review highlights recent innovations in food packaging, emphasizing the shift from conventional petroleum-based materials to bio-based alternatives and smart packaging systems. Bio-based materials, such as starch, cellulose, and polyhydroxyalkanoates (PHA), offer sustainable solutions due to their biodegradability and reduced environmental impact. These materials are positioned as eco-friendly alternatives to traditional plastics but face challenges related to production costs and scalability. Additionally, advancements in smart packaging technologies, including sensor and indicator systems, provide real-time food quality monitoring, enhancing food safety and reducing waste. Active packaging technologies, incorporating natural antioxidants and moisture control, extend product shelf life and improve food preservation. Furthermore, these biopolymers typically present a lower CO2 footprint, energy costs, and water consumption during production, compared to traditionally used synthetic plastics. The review identifies challenges, such as regulatory barriers and technological limitations, but also outlines significant opportunities for future research and innovation in the food packaging sector, aiming for more efficient, safer, and environmentally sustainable packaging solutions.

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A review on the role of pH-sensitive natural pigments in biopolymers based intelligent food packaging films

Cited by 3 publications

References 82 publications

Development of a Novel Colorimetric pH Biosensor Based on A-Motif Structures for Rapid Food Freshness Monitoring and Spoilage Detection

Development of a Novel Colorimetric pH Biosensor Based on A-Motif Structures for Rapid Food Freshness Monitoring and Spoilage Detection

Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review

Innovations in Food Packaging: From Bio-Based Materials to Smart Packaging Systems

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