Machine learning-assisted data-driven optimization and understanding of the multiple stage process for extraction of polysaccharides and secondary metabolites from natural products

Ma, Jiamu; Yao, Jianling; Ren, Xueyang; Dong, Ying; Song, Ruolan; Zhong, Xiangjian; Zheng, Yuan; Shan, Dongjie; Lv, Fang; Li, Xianxian; Deng, Qingyue; He, Yingyu; Yuan, Rongfang; She, Gaimei

doi:10.1039/d2gc04574e

Cited by 2 publications

(2 citation statements)

References 80 publications

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“…Although there are numerous HBA:HBD combinations that can solubilize proteins, it is currently unclear how all of those properties interact to affect protein extraction. In order to maximize the extraction of biomolecules from plant sources, new strategies incorporating computer-aided technology, such as machine learning, are very helpful when analyzing complicated data with various parameters (Ma et al, 2023;Shekhar et al, 2023). Shi et al (2022) successfully employed a machine learning algorithm to predict DES viscosity by considering the basic properties (i.e., molar mass of HBA and HBD, HBA:HBD molar ratio, and temperature), molecular fingerprint of the HBA:HBD composition, and water content as the model input.…”

Section: Factors Influencing Des-mediated Protein Extractionmentioning

confidence: 99%

Section: Mechanism Of Des‐mediated Protein Solubilization and Extractionmentioning

confidence: 99%

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Valorization of biomass for food protein via deep eutectic solvent extraction: Understanding the extraction mechanism and impact on protein structure and properties

Hanafi,

Anwar,

Saari

2024

Food Frontiers

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The conventional techniques for protein extraction from biomass are not fully aligned with sustainability goals, so it is important to look for some alternate solutions. By simultaneously extracting both soluble and insoluble proteins, deep eutectic solvents (DESs) offer a viable method for valorizing protein‐rich biomass from a variety of sources. Notably, the molecular crowding effects of DESs may have helped unfolded proteins acquire compact and stable conformations, facilitating solubilization and effective extraction. However, there is still a lack of information regarding how DESs interact with proteins and affect the structure and properties of the recovered proteins. To enable their widespread usage as a sustainable method for extracting dietary proteins, the safety of DES‐extracted proteins must also be addressed. In this paper, we review the state of the science in DES‐mediated protein extraction, focusing on the extraction mechanism and the interactions between DESs and proteins. Additionally, important aspects of DES‐mediated protein extraction that could affect the structure, technofunctional, nutritional characteristics, and safety of extracted protein are explored. DES‐based protein extraction could be helpful to valorize different biomasses for the production of food proteins due to the specific features.

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Section: Factors Influencing Des-mediated Protein Extractionmentioning

confidence: 99%

Section: Mechanism Of Des‐mediated Protein Solubilization and Extractionmentioning

confidence: 99%

Valorization of biomass for food protein via deep eutectic solvent extraction: Understanding the extraction mechanism and impact on protein structure and properties

Hanafi,

Anwar,

Saari

2024

Food Frontiers

View full text Add to dashboard Cite

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Perspectives on organ-on-a-chip technology for natural products evaluation

Wang,

Miao,

Zhao

et al. 2024

Food &Amp; Medicine Homology

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Natural products have always been a treasure trove for clinical drug development and a source of inspiration for lead compounds in the process of new drug discovery. However, two-dimensional cell cultures and animal models in the traditional drug development model have serious limitations in generalizing human physiopathology and cannot accurately predict the real clinical response of the human body to drugs, which brings obstacles and challenges to drug evaluation. Organ-on-a-chip (OoC) is an emerging technology based on microfluidic platforms and in vitro cell culture that can mimic the physiological environment and function of human organs for disease modeling and drug evaluation. In this review, we explore several major examples of how human single-OoC systems can be used to simulate complex disease models and outline recent advances in organoids for natural drug screening. Finally, we summarize the challenges and future trends that OoCs must overcome in drug discovery and development. Overall, this review highlights that OoCs, instead of animal models, open new avenues for natural drug development and evaluation, therapeutic innovation, and in vivo embodiment of personalized medicine.

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Machine learning-assisted data-driven optimization and understanding of the multiple stage process for extraction of polysaccharides and secondary metabolites from natural products

Abstract: A machine learning strategy mainly consist of radial basis function neural network and genetic algorithm for predicting and understanding multi-objective extraction process.

Cited by 2 publications

References 80 publications

Valorization of biomass for food protein via deep eutectic solvent extraction: Understanding the extraction mechanism and impact on protein structure and properties

Valorization of biomass for food protein via deep eutectic solvent extraction: Understanding the extraction mechanism and impact on protein structure and properties

Perspectives on organ-on-a-chip technology for natural products evaluation

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