[HTML][HTML] Automation and artificial intelligence in filamentous fungi-based bioprocesses: A review

S Wainaina, MJ Taherzadeh - Bioresource Technology, 2023 - Elsevier
By utilizing their powerful metabolic versatility, filamentous fungi can be utilized in
bioprocesses aimed at achieving circular economy. With the current digital transformation …

Artificial intelligence aided lipase production and engineering for enzymatic performance improvement

F Ge, G Chen, M Qian, C Xu, J Liu, J Cao… - Journal of Agricultural …, 2023 - ACS Publications
With the development of artificial intelligence (AI), tailoring methods for enzyme engineering
have been widely expanded. Additional protocols based on optimized network models have …

Machine learning: a suitable method for biocatalysis

PS Sampaio, P Fernandes - Catalysts, 2023 - mdpi.com
Biocatalysis is currently a workhorse used to produce a wide array of compounds, from bulk
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …

Enhanced production of acetic acid through bioprocess optimization employing response surface methodology and artificial neural network

A Upadhyay, AA Kovalev, EA Zhuravleva… - Bioresource …, 2023 - Elsevier
In this study, acetic acid bacteria (AAB) are isolated from fruit waste and cow dung on the
basis of acetic acid production potential. The AAB were identified based on halo-zones …

Inverse design of chemoenzymatic epoxidation of soyabean oil through artificial intelligence-driven experimental approach

N Sarmah, V Mehtab, K Borah, A Palanisamy… - Bioresource …, 2024 - Elsevier
This paper presents an inverse design methodology that utilizes artificial intelligence (AI)-
driven experiments to optimize the chemoenzymatic epoxidation of soyabean oil using …

Surfactant-facilitated metabolic induction enhances lipase production from an optimally formulated waste-derived substrate mix using Aspergillus niger: A case of …

AN Amenaghawon, SA Eshiemogie… - Bioresource Technology …, 2024 - Elsevier
This study introduces a novel method to enhance lipase production by integrating machine
learning (ML) models and optimization algorithms. Six ML models, including support vector …

Machine learning approach for microbial growth kinetics analysis of acetic acid-producing bacteria isolated from organic waste

A Upadhyay, A Upadhyay, PK Sarangi… - Biochemical …, 2024 - Elsevier
This study proposes novel hybrid methodology that combines machine learning (ML)
techniques with experimental strategies to analyse microbial growth-kinetics of acetic acid …

A kinetic-assisted growth curve prediction method for Chlamydomonas reinhardtii incorporating transfer learning

M Jiang, X Cao, Z Wang, M **ng, Z Sun, J Wang… - Bioresource …, 2024 - Elsevier
Traditional predictions of microalgal growth states rely on empirical or easily implementable
kinetic models, leading to significant biases and elevated cost. This study proposes a kinetic …

Screening, identification, and characterization of lipase-producing halotolerant Bacillus altitudinis Ant19 from Antarctic soil

VD Nimkande, S Sivanesan, A Bafana - Archives of Microbiology, 2023 - Springer
Potent lipase-producing and halotolerant Bacillus altitudinis Ant19 strain was screened and
isolated from Antarctic soil. The isolate showed broad-range lipase activity against different …

[HTML][HTML] Use of genomics & proteomics in studying lipase producing microorganisms & its application

D Majumder, A Dey, S Ray, D Bhattacharya… - Food Chemistry …, 2024 - Elsevier
In biotechnological applications, lipases are recognized as the most widely utilized and
versatile enzymes, pivotal in biocatalytic processes, predominantly produced by various …