Continuously growing demand for plant derived therapeutic molecules obtained in a
sustainable and eco-friendly manner favors biotechnological production and development of …

This study utilizes artificial intelligence and statistical modelling to optimize the operating
parameters of a carbon-based electro-Fenton process for purifying model dye (RB19) …

Schizochytrium sp., a microalga with high lipid content, holds the potential for co-producing
docosahexaenoic acid (DHA) and carotenoids. In this study, the ability of Schizochytrium sp …

Background In this study, response surface methodology (RSM) and artificial neural network
(ANN) was used to construct the predicted models of linear, quadratic and interactive effects …

In this study, an Artificial Neural Network-Genetic Algorithm (ANN-GA) approach was
successfully applied to optimise the physicochemical factors influencing the synthesis of …

With an increasing interest in exploring the biocatalyst potential for the production of natural
products (NP), research in NP biotechnology now follows. Xanthones constitute an important …

Several factors interact to regulate direct in vitro shoot regeneration. Optimization of de novo
direct regeneration is a primary prerequisite for the success of genetic transformation …

This study was conducted to determine if artificial neural networks (ANN) can be used to
accurately predict in vitro organogenesis of Bacopa monnieri compared with statistical …

In the era of green chemistry, natural and sustainable extraction solvents have become the
focus of people's attention in the process of extracting target compounds from plants. In this …

With the aggravation of environmental pollution and energy crisis, the sustainable microbial
fermentation process of converting glycerol to 1, 3‐propanediol (1, 3‐PDO) has become an …