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迈向具有更高健康效益的功能性食品生产数字孪生体的步骤。

Steps toward a digital twin for functional food production with increased health benefits.

作者信息

Sørensen Helena Mylise, Cunningham David, Balakrishnan Rengesh, Maye Susan, MacLeod George, Brabazon Dermot, Loscher Christine, Freeland Brian

机构信息

School of Biotechnology, Dublin City University, D9 Dublin, Ireland.

I-Form, Advanced Manufacturing Research Centre, Dublin City University, D9 Dublin, Ireland.

出版信息

Curr Res Food Sci. 2023 Sep 26;7:100593. doi: 10.1016/j.crfs.2023.100593. eCollection 2023.

DOI:10.1016/j.crfs.2023.100593
PMID:37790857
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10543970/
Abstract

() is a commensal bacterium with health-promoting properties and with a wide range of applications within the food industry. To improve and optimize the control of biomass production in batch and fed-batch bioprocesses, this study proposes the application of artificial neural network (ANN) modelling to improve process control and monitoring, with potential future implementation as a basis for a digital twin. Three ANNs were developed using historical data from ten bioprocesses. These ANNs were designed to predict the biomass in batch bioprocesses with different media compositions, predict biomass in fed-batch bioprocesses, and predict the growth rate in fed-batch bioprocesses. The immunomodulatory effect of the samples was examined and found to elicit an anti-inflammatory response as evidenced by the inhibition of IL-6 and TNF-α secretion. Overall, the findings of this study reinforce the potential of ANN modelling for bioprocess optimization aimed at improved control for maximising the volumetric productivity of as an immunomodulatory agent with applications in the functional food industry.

摘要

（）是一种具有促进健康特性的共生细菌，在食品工业中有广泛应用。为了改进和优化分批和补料分批生物过程中生物质生产的控制，本研究提出应用人工神经网络（ANN）建模来改善过程控制和监测，并将其作为数字孪生的潜在未来实现基础。利用来自十个生物过程的历史数据开发了三个ANN。这些ANN旨在预测不同培养基组成的分批生物过程中的生物质、预测补料分批生物过程中的生物质以及预测补料分批生物过程中的生长速率。对样品的免疫调节作用进行了检查，发现其引发了抗炎反应，这通过抑制IL-6和TNF-α分泌得到证明。总体而言，本研究结果强化了ANN建模在生物过程优化方面的潜力，旨在改进控制以最大化作为功能性食品工业中具有免疫调节作用的（此处原文可能有缺失信息）的体积生产率。

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