Artificial neural network-genetic algorithm-based optimization of aerobic composting process parameters of Ganoderma lucidum residue

Shi, Chun-Fang; Yang, Hui-Ting; Chen, Tiantian; Guo, Li-Peng; Leng, Xiao-Yun; Deng, Pan-Bo; Bi, Jie; Pan, Jiangang; Wang, Yueming

doi:10.1016/j.biortech.2022.127248

Cited by 26 publications

(11 citation statements)

References 30 publications

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“…The application of ANNs started in the 1980s, along with development of computational techniques based on self-organizing properties and parallel information systems [55]. Due to their capability to solve real problems, ANNs have been extensively used in areas such as engineering [56,57], biology [57], and agriculture [58]. ANNs mimic the data processing of the human brain.…”

Section: Near-infrared Spectroscopymentioning

confidence: 99%

“…The relationship between the independent vs. dependent variables (inputs vs. outputs) is nonlinear, and this relationship is reflected by the neuronal linking network matrix of the network. Therefore, it is crucial in the development of ANNs to ensure consistent and significant experimental records for (i) training, (ii) testing, and (ii) validating the strength of the model [58].…”

Section: Near-infrared Spectroscopymentioning

confidence: 99%

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Application of Near-Infrared Spectroscopy for Monitoring and/or Control of Composting Processes

Sokač Cvetnić,

Krog,

Benković

et al. 2023

Applied Sciences

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The implementation of a suitable and ecologically friendly solid waste management plan is accepted as an essential need. Given that organic matter constitutes the majority of solid waste, composting has gained popularity as an alternative way of organic refuse recycling. Compost quality is defined by its stability and maturity, both of which must be assessed by measuring a large number of physical–chemical parameters, microbiological variables, and enzymatic activities. These procedures are complex and time-consuming, making it difficult to assess compost quality correctly. Spectroscopy methods could be used as an efficient alternative. In this work, general information about composting processes and near-infrared spectroscopy (NIRS) is given. A discussion and comparison of the different approaches of coupling NIRS and chemometric tools for the monitoring and/or control of composting processes are presented in this work.

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Section: Near-infrared Spectroscopymentioning

confidence: 99%

Section: Near-infrared Spectroscopymentioning

confidence: 99%

Application of Near-Infrared Spectroscopy for Monitoring and/or Control of Composting Processes

Sokač Cvetnić,

Krog,

Benković

et al. 2023

Applied Sciences

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“…Finally, artificial neural networks can be used in engineering to predict the building construction time and cost [ 50 ], om water management to model and predict the amount of salt removed by the capacitive deionization method [ 51 ], or in biotechnology to optimize the parameters in Ganoderma lucidum residue aerobic composting process [ 52 ].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning to Predict the Adsorption Capacity of Microplastics

et al. 2023

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Nowadays, there is an extensive production and use of plastic materials for different industrial activities. These plastics, either from their primary production sources or through their own degradation processes, can contaminate ecosystems with micro- and nanoplastics. Once in the aquatic environment, these microplastics can be the basis for the adsorption of chemical pollutants, favoring that these chemical pollutants disperse more quickly in the environment and can affect living beings. Due to the lack of information on adsorption, three machine learning models (random forest, support vector machine, and artificial neural network) were developed to predict different microplastic/water partition coefficients (log Kd) using two different approximations (based on the number of input variables). The best-selected machine learning models present, in general, correlation coefficients above 0.92 in the query phase, which indicates that these types of models could be used for the rapid estimation of the absorption of organic contaminants on microplastics.

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“…Fungal extracts from Ganoderma lucidum can be produced by growing the mycelium on solid media or in liquid media [1]. The extracts have been tested to determine their potential to treat chronic diseases in humans, including cancer [2].…”

Section: Introductionmentioning

confidence: 99%

Performance of Biomass and Exopolysaccharide Production from the Medicinal Mushroom Ganoderma lucidum in a New Fabricated Air-L-Shaped Bioreactor (ALSB)

et al. 2023

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Conventional stirred-tank bioreactor (STR) designs are optimised for cultures of bacteria but not fungal cultures; therefore, a new Air-L-Shaped Bioreactor (ALSB) was fabricated. The ALSB was designed to eliminate the wall growth and clumping of fungal mycelium in STRs. Ganoderma lucidum was used as a fungal model and its biomass and exopolysaccharide (EPS) production were maximised by optimising the agitation rate, glucose concentration, initial pH, and aeration via response surface methodology (RSM). The ALSB system generated 7.8 g/L of biomass (biomass optimised conditions: 110 rpm, 24 g/L glucose, pH 5.6, and 3 v/v of aeration) and 4.4 g/L of EPS (EPS optimised conditions: 90 rpm, 30 g/L glucose, pH 4, and 2.5 v/v of aeration). In combination, for both optimised conditions, biomass (7.9 g/L) and EPS (4.6 g/L) were produced at 110 rpm, 30 g/L glucose, pH 4, and 3 v/v of aeration with minimal wall growth. The data prove that the ALSB is a blueprint for efficient economical fungal cultivation.

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Artificial neural network-genetic algorithm-based optimization of aerobic composting process parameters of Ganoderma lucidum residue

Cited by 26 publications

References 30 publications

Application of Near-Infrared Spectroscopy for Monitoring and/or Control of Composting Processes

Application of Near-Infrared Spectroscopy for Monitoring and/or Control of Composting Processes

Machine Learning to Predict the Adsorption Capacity of Microplastics

Performance of Biomass and Exopolysaccharide Production from the Medicinal Mushroom Ganoderma lucidum in a New Fabricated Air-L-Shaped Bioreactor (ALSB)

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