The Experts below are selected from a list of 78750 Experts worldwide ranked by ideXlab platform
Jochen Büchs - One of the best experts on this subject based on the ideXlab platform.
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Online Monitoring of dissolved oxygen tension in microtiter plates based on infrared fluorescent oxygen sensitive nanoparticles
Microbial Cell Factories, 2015Co-Authors: Tobias Ladner, David Flitsch, Tino Schleputz, Jochen BüchsAbstract:During the past years, new high-throughput screening systems with capabilities of Online Monitoring turned out to be powerful tools for the characterization of microbial cell cultures. These systems are often easy to use, offer economic advantages compared to larger systems and allow to determine many important process parameters within short time. Fluorescent protein tags tremendously simplified the tracking and observation of cellular activity in vivo. Unfortunately, interferences between established fluorescence based dissolved oxygen tension (DOT) measurement techniques and fluorescence-based protein tags appeared. Therefore, the applicability of new oxygen-sensitive nanoparticles operated within the more suitable infrared wavelength region are introduced and validated for DOT measurement. The biocompatibility of the used dispersed oxygen-sensitive nanoparticles was proven via RAMOS cultivations for Hansenula polymorpha, Gluconobacter oxydans, and Escherichia coli. The applicability of the introduced DOT measurement technique for Online Monitoring of cultivations was demonstrated and successfully validated. The nanoparticles showed no disturbing effect on the Online measurement of the fluorescence intensities of the proteins GFP, mCherry and YFP measured by a BioLector prototype. Additionally, the DOT measurement was not influenced by changing concentrations of these proteins. The kLa values for the applied cultivation conditions were successfully determined based on the measured DOT. The introduced technique appeared to be practically as well as economically advantageous for DOT Online measuring in microtiter plates. The disadvantage of limited availability of microtiter plates with immobilized sensor spots (optodes) does not apply for this introduced technique. Due to the infrared wavelength range, used for the DOT measurement, no interferences with biogenic fluorescence or with expressed fluorescent proteins (e.g. YFP, GFP or mCherry) occur.
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Online Monitoring of fermentation processes via non invasive low field nmr
Biotechnology and Bioengineering, 2015Co-Authors: Dirk Kreyenschulte, Eva Paciok, Lars Regestein, Bernhard Blumich, Jochen BüchsAbstract:For the development of biotechnological processes in academia as well as in industry new techniques are required which enable Online Monitoring for process characterization and control. Nuclear magnetic resonance (NMR) spectroscopy is a promising analytical tool, which has already found broad applications in offline process analysis. The use of Online Monitoring, however, is oftentimes constrained by high complexity of custom-made NMR bioreactors and considerable costs for high-field NMR instruments (>US$200,000). Therefore, low-field (1) H NMR was investigated in this study in a bypass system for real-time observation of fermentation processes. The new technique was validated with two microbial systems. For the yeast Hansenula polymorpha glycerol consumption could accurately be assessed in spite of the presence of high amounts of complex constituents in the medium. During cultivation of the fungal strain Ustilago maydis, which is accompanied by the formation of several by-products, the concentrations of glucose, itaconic acid, and the relative amount of glycolipids could be quantified. While low-field spectra are characterized by reduced spectral resolution compared to high-field NMR, the compact design combined with the high temporal resolution (15 s-8 min) of spectra acquisition allowed Online Monitoring of the respective processes. Both applications clearly demonstrate that the investigated technique is well suited for reaction Monitoring in opaque media while at the same time it is highly robust and chemically specific. It can thus be concluded that low-field NMR spectroscopy has a great potential for non-invasive Online Monitoring of biotechnological processes at the research and practical industrial scales.
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the baffled microtiter plate increased oxygen transfer and improved Online Monitoring in small scale fermentations
Biotechnology and Bioengineering, 2009Co-Authors: Matthias Funke, Sylvia Diederichs, Frank Kensy, Carsten H G Muller, Jochen BüchsAbstract:Most experiments in screening and process development are performed in shaken bioreactors. Today, microtiter plates are the preferred vessels for small-scale microbial cultivations in high throughput, even though they have never been optimized for this purpose. To interpret the experimental results correctly and to obtain a base for a meaningful scale-up, sufficient oxygen supply to the culture liquid is crucial. For shaken bioreactors this problem can generally be addressed by the introduction of baffles. Therefore, the focus of this study is to investigate how baffling and the well geometry affect the maximum oxygen transfer capacity (OTRmax) in microtiter plates. On a 48-well plate scale, 30 different cross-section geometries of a well were studied. It could be shown that the introduction of baffles into the common circular cylinder of a microtiter plate well doubles the maximum oxygen transfer capacity, resulting in values above 100 mmol/L/h (kLa > 600 1/h). To also guarantee a high volume for microbial cultivation, it is important to maximize the filling volume, applicable during orbital shaking. Additionally, the liquid height at the well bottom was examined, which is a decisive parameter for Online-Monitoring systems such as the BioLector. This technology performs fiber-optical measurements through the well bottom, therefore requires a constant liquid height at all shaking frequencies. Ultimately, a six-petal flower-shaped well geometry was shown to be the optimal solution taking into account all aforementioned criteria. With its favorable culture conditions and the possibility for unrestricted Online Monitoring, this novel microtiter plate is an efficient tool to gain meaningful results for interpreting and scaling-up experiments in clone screening and bioprocess development. Biotechnol. Bioeng. 2009;103: 1118–1128. © 2009 Wiley Periodicals, Inc.
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validation of a high throughput fermentation system based on Online Monitoring of biomass and fluorescence in continuously shaken microtiter plates
Microbial Cell Factories, 2009Co-Authors: Frank Kensy, Emerson Zang, Christian Faulhammer, Rungkai Tan, Jochen BüchsAbstract:Background An advanced version of a recently reported high-throughput fermentation system with Online measurement, called BioLector, and its validation is presented. The technology combines high-throughput screening and high-information content by applying Online Monitoring of scattered light and fluorescence intensities in continuously shaken microtiter plates. Various examples in calibration of the optical measurements, clone and media screening and promoter characterization are given.
Xingjiu Huang - One of the best experts on this subject based on the ideXlab platform.
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a simplified electrochemical instrument equipped with automated flow injection system and network communication technology for remote Online Monitoring of heavy metal ions
Journal of Electroanalytical Chemistry, 2017Co-Authors: Zhili Lv, Gongmei Qi, Tianjia Jiang, Daoyang Yu, Xingjiu HuangAbstract:Abstract Fully automated electrochemical measuring equipment was designed in this work for Online Monitoring of heavy metal ions in water. Compared with the commercial instrument already available, the equipment was simplified with four common electrochemical methods: cyclic voltammetry (CV), linear sweep voltammetry (LSV), differential pulse voltammetry (DPV), and square wave voltammetry (SWV). In the monitor, a series of operations for the detection, i.e., sampling and dispensing of the sample, addition of relevant chemicals, acquisition and transmission of the measured data, were fully automated. The Monitoring was effective and convenient in combination with the internet of things. To demonstrate the performance of the instrument, a comparison was made with commercial electrochemical analyzer and a well coincidence was gained in laboratory. Finally, Online Monitoring was also applied in real environment and the accuracy of the instrument was confirmed compared with standard analytical method.
H C Hu - One of the best experts on this subject based on the ideXlab platform.
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predicting performance of grey and neural network in industrial effluent using Online Monitoring parameters
Process Biochemistry, 2008Co-Authors: Shunhsing Chuang, H H Ho, L F Yu, H C Su, H C HuAbstract:Abstract Grey model (GM) and artificial neural network (ANN) were employed to predict suspended solids (SSeff), chemical oxygen demand (CODeff) and pHeff in the effluent from conventional activated process of an industrial wastewater treatment plant using simple Online Monitoring parameters (pH in the equalization pond effluent; pH, temperature, and dissolved oxygen in the aeration tank). The results indicated that the minimum mean absolute percentage errors of 20.79, 6.09 and 0.71% for SSeff, CODeff and pHeff, respectively, could be achieved using different types of GMs. GM only required a small amount of data (at least four data) and the prediction results were even better than those of ANN. According to the results, the Online Monitoring parameters could be applied on the prediction of effluent quality. It also revealed that GM could predict the industrial effluent variation as its effluent data was insufficient.
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comparisons of grey and neural network prediction of industrial park wastewater effluent using influent quality and Online Monitoring parameters
Environmental Monitoring and Assessment, 2008Co-Authors: Shunhsing Chuang, L F Yu, H C Su, H C Hu, Huangmu Lo, Yungpin Tsai, P J SungAbstract:In this study, Grey model (GM) and artificial neural network (ANN) were employed to predict suspended solids (SSeff) and chemical oxygen demand (CODeff) in the effluent from a wastewater treatment plant in industrial park of Taiwan. When constructing model or predicting, the influent quality or Online Monitoring parameters were adopted as the input variables. ANN was also adopted for comparison. The results indicated that the minimum MAPEs of 16.13 and 9.85% for SSeff and CODeff could be achieved using GMs when Online Monitoring parameters were taken as the input variables. Although a good fitness could be achieved using ANN, they required a large quantity of data. Contrarily, GM only required a small amount of data (at least four data) and the prediction results were even better than those of ANN. Therefore, GM could be applied successfully in predicting effluent when the information was not sufficient. The results also indicated that these simple Online Monitoring parameters could be applied on prediction of effluent quality well.
Zhili Lv - One of the best experts on this subject based on the ideXlab platform.
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a simplified electrochemical instrument equipped with automated flow injection system and network communication technology for remote Online Monitoring of heavy metal ions
Journal of Electroanalytical Chemistry, 2017Co-Authors: Zhili Lv, Gongmei Qi, Tianjia Jiang, Daoyang Yu, Xingjiu HuangAbstract:Abstract Fully automated electrochemical measuring equipment was designed in this work for Online Monitoring of heavy metal ions in water. Compared with the commercial instrument already available, the equipment was simplified with four common electrochemical methods: cyclic voltammetry (CV), linear sweep voltammetry (LSV), differential pulse voltammetry (DPV), and square wave voltammetry (SWV). In the monitor, a series of operations for the detection, i.e., sampling and dispensing of the sample, addition of relevant chemicals, acquisition and transmission of the measured data, were fully automated. The Monitoring was effective and convenient in combination with the internet of things. To demonstrate the performance of the instrument, a comparison was made with commercial electrochemical analyzer and a well coincidence was gained in laboratory. Finally, Online Monitoring was also applied in real environment and the accuracy of the instrument was confirmed compared with standard analytical method.
Shunhsing Chuang - One of the best experts on this subject based on the ideXlab platform.
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predicting performance of grey and neural network in industrial effluent using Online Monitoring parameters
Process Biochemistry, 2008Co-Authors: Shunhsing Chuang, H H Ho, L F Yu, H C Su, H C HuAbstract:Abstract Grey model (GM) and artificial neural network (ANN) were employed to predict suspended solids (SSeff), chemical oxygen demand (CODeff) and pHeff in the effluent from conventional activated process of an industrial wastewater treatment plant using simple Online Monitoring parameters (pH in the equalization pond effluent; pH, temperature, and dissolved oxygen in the aeration tank). The results indicated that the minimum mean absolute percentage errors of 20.79, 6.09 and 0.71% for SSeff, CODeff and pHeff, respectively, could be achieved using different types of GMs. GM only required a small amount of data (at least four data) and the prediction results were even better than those of ANN. According to the results, the Online Monitoring parameters could be applied on the prediction of effluent quality. It also revealed that GM could predict the industrial effluent variation as its effluent data was insufficient.
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comparisons of grey and neural network prediction of industrial park wastewater effluent using influent quality and Online Monitoring parameters
Environmental Monitoring and Assessment, 2008Co-Authors: Shunhsing Chuang, L F Yu, H C Su, H C Hu, Huangmu Lo, Yungpin Tsai, P J SungAbstract:In this study, Grey model (GM) and artificial neural network (ANN) were employed to predict suspended solids (SSeff) and chemical oxygen demand (CODeff) in the effluent from a wastewater treatment plant in industrial park of Taiwan. When constructing model or predicting, the influent quality or Online Monitoring parameters were adopted as the input variables. ANN was also adopted for comparison. The results indicated that the minimum MAPEs of 16.13 and 9.85% for SSeff and CODeff could be achieved using GMs when Online Monitoring parameters were taken as the input variables. Although a good fitness could be achieved using ANN, they required a large quantity of data. Contrarily, GM only required a small amount of data (at least four data) and the prediction results were even better than those of ANN. Therefore, GM could be applied successfully in predicting effluent when the information was not sufficient. The results also indicated that these simple Online Monitoring parameters could be applied on prediction of effluent quality well.
