{"title":"Extension of first principle elemental balancing soft-sensors by nonlinear reaction kinetics for increased robustness in bioprocess monitoring.","authors":"Don Fabian Müller, Daniel Wibbing, Julian Kager","doi":"10.1007/s00449-024-03111-3","DOIUrl":null,"url":null,"abstract":"<p><p>A first principle soft-sensor for biomass and substrate estimation in upstream bioprocessing based on the fusion of elemental balancing and nonlinear kinetics is presented. It aims to extend the validity range of well-established elemental balancing soft sensors to substrate saturated and overfeeding conditions that often occur in induced production phases. An experimental study with recombinant E. coli cultivations was conducted to illustrate the soft-sensor principle and to analyze the accuracy as well as generalizability of the approach. Under substrate limited growth the extended soft-sensor showed similar performance as classical elemental balancing. In induced production phases however, a decline in maximum substrate uptake capacity ( <math><msub><mi>q</mi> <mrow><mi>Smax</mi></mrow> </msub> </math> ) of up to 80% was observed, where the extended soft-sensor showed up to 41 % better estimates for the biomass and up to 75 % better estimates for the substrate in terms of NRMSE. The paper discusses the possible benefits as well as the requirements for the implementation of the extended elemental balancing soft-sensor.</p>","PeriodicalId":9024,"journal":{"name":"Bioprocess and Biosystems Engineering","volume":" ","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioprocess and Biosystems Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s00449-024-03111-3","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
A first principle soft-sensor for biomass and substrate estimation in upstream bioprocessing based on the fusion of elemental balancing and nonlinear kinetics is presented. It aims to extend the validity range of well-established elemental balancing soft sensors to substrate saturated and overfeeding conditions that often occur in induced production phases. An experimental study with recombinant E. coli cultivations was conducted to illustrate the soft-sensor principle and to analyze the accuracy as well as generalizability of the approach. Under substrate limited growth the extended soft-sensor showed similar performance as classical elemental balancing. In induced production phases however, a decline in maximum substrate uptake capacity ( ) of up to 80% was observed, where the extended soft-sensor showed up to 41 % better estimates for the biomass and up to 75 % better estimates for the substrate in terms of NRMSE. The paper discusses the possible benefits as well as the requirements for the implementation of the extended elemental balancing soft-sensor.
期刊介绍:
Bioprocess and Biosystems Engineering provides an international peer-reviewed forum to facilitate the discussion between engineering and biological science to find efficient solutions in the development and improvement of bioprocesses. The aim of the journal is to focus more attention on the multidisciplinary approaches for integrative bioprocess design. Of special interest are the rational manipulation of biosystems through metabolic engineering techniques to provide new biocatalysts as well as the model based design of bioprocesses (up-stream processing, bioreactor operation and downstream processing) that will lead to new and sustainable production processes.
Contributions are targeted at new approaches for rational and evolutive design of cellular systems by taking into account the environment and constraints of technical production processes, integration of recombinant technology and process design, as well as new hybrid intersections such as bioinformatics and process systems engineering. Manuscripts concerning the design, simulation, experimental validation, control, and economic as well as ecological evaluation of novel processes using biosystems or parts thereof (e.g., enzymes, microorganisms, mammalian cells, plant cells, or tissue), their related products, or technical devices are also encouraged.
The Editors will consider papers for publication based on novelty, their impact on biotechnological production and their contribution to the advancement of bioprocess and biosystems engineering science. Submission of papers dealing with routine aspects of bioprocess engineering (e.g., routine application of established methodologies, and description of established equipment) are discouraged.