Artificial intelligence driven advanced optimization strategy vis-à-vis response surface optimization of production medium: Bacterial exopolysaccharide production as a case-study

Rabiya, Rabiya; Sen, Ramkrishna

doi:10.1016/j.bej.2021.108271

Cited by 17 publications

(15 citation statements)

References 43 publications

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“…The highest glucose concentration gave the highest yield. Indeed, growth and EPS production require carbon for energy supply [ 21 ]. Nevertheless, since optima were near the CCD domain boundaries, higher nitrogen and carbon source concentrations should be investigated to further dissect the EPS biosynthesis mechanism.…”

Section: Discussionmentioning

confidence: 99%

“…Sengupta et al suggested that production optimization should rather be based on the C/N ratio of the medium [ 44 ]. Indeed, nitrogen limitation results in microbial growth limitation, and the carbon is more available for EPS synthesis [ 21 ]. In the case of Yangia sp., which produces both EPS and PHA, a slightly higher EPS yield was obtained with 20 g L −1 glucose using 2 g L −1 ammonium chloride as the nitrogen source (C/N of 10–16) instead of yeast extract (C/N of 30–35).…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, medium optimization is required to achieve economically significant production of valuable EPS [ 19 ]. The design of experiments (DoE) including Plackett–Burman (PB) design for the screening of factors, central composite design (CCD) and response surface methodology (RSM), allows growth and production medium optimization with limited cost and time by involving statistical methods [ 20 , 21 ]. On the other hand, high molecular weight (HMW) is a highly desirable characteristic for applying EPS in biomedical such as ophthalmology, orthopedics, wound healing, and cosmetic fields, since biological roles are dependent upon molecular weight (MW) [ 8 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

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Influence of the Carbon and Nitrogen Sources on Diabolican Production by the Marine Vibrio diabolicus Strain CNCM I-1629

et al. 2022

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Recent advances in glycobiotechnology show that bacterial exopolysaccharides (EPS) presenting glycosaminoglycan (GAG)-like properties can provide a valuable source of bio-active macromolecules for industrial applications. The HE800 EPS, named diabolican, is a marine-derived anionic high-molecular-weight polysaccharide produced by Vibrio diabolicus CNCM I-1629 which displays original structural features close to those of hyaluronic acid. We investigated the impact of carbon and nitrogen substrates on both Vibrio diabolicus growth and diabolican production. Both substrates were screened by a one-factor-at-a-time method, and experimental designs were used to study the effect of glucose, mannitol, and ammonium acetate various concentrations. Results showed that the medium composition affected not only the bacterium growth and EPS yield, but also the EPS molecular weight (MW). EPS yields of 563 and 330 mg L−1 were obtained in the presence of 69.3 g L−1 glucose and 24.6 g L−1 mannitol, respectively, both for 116.6 mM ammonium acetate. MW was the highest, with 69.3 g L−1 glucose and 101.9 mM ammonium acetate (2.3 × 106 g mol−1). In parallel, the bacterial maximum specific growth rate was higher when both carbon and nitrogen substrate concentrations were low. This work paves the way for the optimization of marine exopolysaccharide production of great interest in the fields of human health and cosmetics.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Influence of the Carbon and Nitrogen Sources on Diabolican Production by the Marine Vibrio diabolicus Strain CNCM I-1629

et al. 2022

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“…AI and ML algorithms could be trained on a data set of past culture medium formulations and the resulting cell growth and cell viability data. The algorithm could then be used to predict the optimal culture medium formulation for a specific cell type or growth stage based on the input data (Rabiya & Sen, 2022). AI can be used to optimise the media formulation in real-time based on the cell's changing needs which will result in improving the efficiency of the CM production process (Rabiya & Sen, 2022).…”

Section: Cell Culture Media and Ingredientsmentioning

confidence: 99%

“…The algorithm could then be used to predict the optimal culture medium formulation for a specific cell type or growth stage based on the input data (Rabiya & Sen, 2022). AI can be used to optimise the media formulation in real-time based on the cell's changing needs which will result in improving the efficiency of the CM production process (Rabiya & Sen, 2022). ML algorithms can analyse data on the growth and proliferation of CM cells in different media formulations to identify the optimal combination of nutrients and other factors that promote optimal cell growth and differentiation.…”

Section: Cell Culture Media and Ingredientsmentioning

confidence: 99%

Industry 4.0 technologies for cultivated meat manufacturing

Kamalapuram,

Choudhury

2024

Food Bioengineering

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Industry 4.0 integrates the physical, digital, and biological realms by applying digital automation in systems, processes, and manufacturing facilities. Industry 4.0 is actively shaping the development of intelligent food processing industries in cultivated meat (CM) sector. This integration plays a crucial role in accelerating progress within the global CM sector, facilitating the achievement of its objectives related to food sustainability, security, human health, environmental concerns, and hygiene. Incorporating Industry 4.0 into CM manufacturing systems empowers upstream and downstream production processes to become more intelligent and capable of self‐optimisation. However, enabling rapid adoption of Industry 4.0 by emerging startups and small to medium‐sized enterprises in the CM industry necessitates a thorough understanding of prerequisites and evaluation of technological and biological limitations. Challenges include the substantial initial costs associated with establishing Industry 4.0 infrastructure, robust cybersecurity measures to ensure effective risk management, and acquiring skilled professionals proficient in both operational and maintenance roles. Integrating Industry 4.0 with the evolving CM sector presents an exciting opportunity to foster business‐to‐business investments across various domains, including local markets, export opportunities, and the broader global consumer ecosystem.

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Statistical Evaluation for the Formulation of Low-Cost Single Cell Protein Production in Food Waste Medium by Pichia occidentalis: A Sustainable Valorization Approach

Sagar,

Raol,

Prajapati

et al. 2024

Waste Biomass Valor

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The purpose of this research is to determine the optimal combination of media components and concentrations for improving single cell protein production using statistical methodologies, while also taking into consideration the economic feasibility of employing food waste as a media formulation. Further study includes the use of an arti cial intelligence tool called Support Vector Machine (SVM) in the R programming language to analyze the data generated during the experimentation process, assisting in understanding the relationship between different variables and their effect on SCP production. Method SCP producing microorganisms were isolated from food scrap waste. The highest amount of SCP production with a greater microbial conversion e ciency was determined using ITS gene sequencing. This study focuses on optimizing the components of the food waste medium for SCP production using statistical technique to identify the primary factors affecting media ingredients and their optimum concentrations. The One-factor-at-a-time (OFAT) approach followed by statistical optimization was used for maximizing the components of food waste medium. The model was then evaluated using an AIdriven SVM and compared to a conventional RSM for improved SCP production. Result HighlightsLeftover food waste has far-reaching implications for the environment, economy, and society.Producing SCP from leftover food waste typically requires less land, water, and energy compared to traditional livestock feed production, leading to a reduced environmental footprint.

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Artificial intelligence driven advanced optimization strategy vis-à-vis response surface optimization of production medium: Bacterial exopolysaccharide production as a case-study

Cited by 17 publications

References 43 publications

Influence of the Carbon and Nitrogen Sources on Diabolican Production by the Marine Vibrio diabolicus Strain CNCM I-1629

Influence of the Carbon and Nitrogen Sources on Diabolican Production by the Marine Vibrio diabolicus Strain CNCM I-1629

Industry 4.0 technologies for cultivated meat manufacturing

Statistical Evaluation for the Formulation of Low-Cost Single Cell Protein Production in Food Waste Medium by Pichia occidentalis: A Sustainable Valorization Approach

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