Results 201 to 210 of about 751,685 (223)

Impact of Packaging and Recycling Systems on Material Recirculation: A Stage‐Decomposition Model

open access: yesPackaging Technology and Science, EarlyView.
A system‐level view emerges from decomposing recycling into four stages (participation, collection, sorting and process yield), diagnosing constraints and targeting interventions. Cumulative equivalent uses (CEUs) quantify long‐term retention, revealing marginal improvements at high baselines generate disproportionately larger gains than low‐baseline ...
Diogo Figueirinhas   +3 more
wiley   +1 more source

Porous Modified Calcium Carbonate as an Efficient Carrier for Gallic and Ascorbic Acids in Humidity‐Activated Oxygen Scavenging Systems

open access: yesPackaging Technology and Science, EarlyView.
Porous modified calcium carbonate (MCC) is presented as an efficient carrier for humidity‐activated oxygen scavengers based on gallic acid and ascorbic acid. The porous MCC structure preserves high accessibility of the active compounds, enabling effective oxygen scavenging under high relative humidity, with performance governed by loading level ...
Nastasia M. Coray   +6 more
wiley   +1 more source

Engineering Processes for Plant-Based Meat Analogs: Current Status and Future Outlook. [PDF]

open access: yesCompr Rev Food Sci Food Saf
Gulzar S   +4 more
europepmc   +1 more source

Recent Advances in Microalgae‐Based Functional Coatings and Films for Food Packaging Applications: Opportunities and Challenges

open access: yesPackaging Technology and Science, EarlyView.
Microalgae‐derived bioactive compounds exhibit strong antioxidant and antimicrobial properties and can be incorporated into edible coatings to enhance food quality and shelf life. These materials offer sustainable, biodegradable alternatives to conventional packaging, with promising potential for future scalable food applications.
Madhu Gaidher   +9 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

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