Machine-Learning Driven Design of Bio-Based Active Food Packaging Films with Improved Mechanical Properties

Sanjeev Gautam; Monika Verma; Tarundeep Singh Lakhanpal

doi:10.1039/d5fb00198f

January 1, 2025Sustainable Food TechnologyOpen Access

Machine-Learning Driven Design of Bio-Based Active Food Packaging Films with Improved Mechanical Properties

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Key Points

Improved mechanical properties were achieved in bio-based active packaging films through machine-learning techniques, indicating a sustainable alternative to plastics.
The study highlights that machine learning and response surface methodology enhanced the design process, optimizing film composition for better performance.
This approach involves a systematic workflow using machine learning to analyze multicomponent formulations, enabling efficient material development.
The findings support the potential of bio-based packaging solutions, indicating a shift towards sustainable materials in food packaging.

Implication

Machine-learning reveals improved mechanical properties in bio-based active packaging films, suggesting advancements in sustainable materials.

Abstract

Bio-based active packaging films offer a sustainable route to replace petro-plastic laminates, but their multicomponent formulations complicate rational design. We report a machine-learning driven workflow that couples response surface methodology...

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Cite This Study

Gautam et al. (2025) studied this question.

synapsesocial.com/papers/68a36c1a0a429f797332f5f5 https://doi.org/10.1039/d5fb00198f

View Full Paper

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Machine-Learning Driven Design of Bio-Based Active Food Packaging Films with Improved Mechanical Properties

Key Points

Implication

Abstract

Discussion

Cite This Study

Machine-Learning Driven Design of Bio-Based Active Food Packaging Films with Improved Mechanical Properties

Key Points

Implication

Abstract

Discussion

Cite This Study

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