Molecular Weight Distribution of Lactic Acid Oligomer from the Polycondensation Without Catalyst and Its Application for the Starch Modification

Triwulandari, Evi; Ghozali, Muhammad; Restu, Witta Kartika; Septiyanti, Melati; Sampora, Yulianti; Sondari, Dewi; Devi, Yenni Apriliani; Mawarni, Rista Siti; Meliana, Yenny; Chalid, Mochamad

doi:10.1007/s10924-023-03092-6

J Polym Environ

2023

DOI: 10.1007/s10924-023-03092-6

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Molecular Weight Distribution of Lactic Acid Oligomer from the Polycondensation Without Catalyst and Its Application for the Starch Modification

Evi Triwulandari,

Muhammad Ghozali,

Witta Kartika Restu

et al.

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2024

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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.

show abstract

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

Malashin,

Martysyuk,

Tynchenko

et al. 2024

Polymers

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Molecular Weight Distribution of Lactic Acid Oligomer from the Polycondensation Without Catalyst and Its Application for the Starch Modification

Cited by 1 publication

References 48 publications

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

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

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