Implementation of Microreactor Technology in Biotechnology 2022 (IMTB 2022)

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B:Biology and Biomedicine".

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 3360

Special Issue Editors

Faculty of Chemistry and Chemical Technology, University of Ljubljana, Večna pot 113, SI-1000 Ljubljana, Slovenia
Interests: biotransformations; microreactors; bioprocess integration
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Faculty of Chemical Engineering and Technology, University of Zagreb, HR-10000 Zagreb, Croatia
Interests: microreactors and microdevices; biodiesel; biogas; downstream processes; solid state fermentation; fermentation; enzymes; enzyme kinetics; mathematical modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 6th International Conference Implementation of Microreactor Technology in Biotechnology – IMTB 2022 (https://imtb2022.fkkt.uni-lj.si/)– will take place in Portorož, Slovenia, from 5th to 8th May 2022. The IMTB conference aims to provide a platform for people from industry and academia, working in the cross-section of microfluidics, life sciences, analytics, and bioprocess engineering. The interdisciplinary feature of the IMTB conferences enables participants to present and discuss their latest results, developments, and strategies within these complementary fields and to integrate them to gain new accomplishments for industrial implementation.

We welcome manuscripts on any subtopic in this area, including:

  • Enzymatic microreactors (multiphase microflow systems, enzyme immobilization in microreactors, kinetic studies and modeling of enzymatic reactions in microreactors, multistep enzymatic reactions in microflow systems)
  • Cells within microdevices (microbioreactors for cell culturing, whole-cell biotransformations within microreactors, microfluidic high-throughput screening, stem cells cultivation in microreactors, cell analysis within microdevices)
  • Analytical microdevices (analysis of biomolecules in microdevices, monitoring within microflow systems, medical diagnostics in microdevices, microarrays, μTAS)
  • Bioprocess intensification and integration (bioprocess intensification, downstream processing in microflow systems, continuous bioprocess integration, lab-on-a-chip, microscale-based bioprocess modeling, microreactor technology across the scales).
  • We hope that this Special Issue will further promote the implementation of microflow systems in biotechnology and especially in industrial applications.

Prof. Dr. Polona Žnidaršič-Plazl
Prof. Dr. Bruno Zelić
Guest Editors

Manuscript Submission Information

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Published Papers (2 papers)

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Research

20 pages, 3417 KiB  
Article
Near-Infrared Spectroscopy Coupled with Chemometrics and Artificial Neural Network Modeling for Prediction of Emulsion Droplet Diameters
Micromachines 2022, 13(11), 1876; https://doi.org/10.3390/mi13111876 - 31 Oct 2022
Cited by 4 | Viewed by 1350
Abstract
There is increased interest in the food industry for emulsions as delivery systems to preserve the stability of sensitive biocompounds with the aim of improving their bioavailability, solubility, and stability; maintaining their texture; and controlling their release. Emulsification in continuously operated microscale devices [...] Read more.
There is increased interest in the food industry for emulsions as delivery systems to preserve the stability of sensitive biocompounds with the aim of improving their bioavailability, solubility, and stability; maintaining their texture; and controlling their release. Emulsification in continuously operated microscale devices enables the production of emulsions of controllable droplet sizes and reduces the amount of emulsifier and time consumption, while NIR, as a nondestructive, noninvasive, fast, and efficient technique, represents an interesting aspect for emulsion investigation. The aim of this work was to predict the average Feret droplet diameter of oil-in-water and oil-in-aqueous mint extract emulsions prepared in a continuously operated microfluidic device with different emulsifiers (PEG 1500, PEG 6000, and PEG 20,000) based on the combination of near-infrared (NIR) spectra with chemometrics (principal component analysis (PCA) and partial least-squares (PLS) regression) and artificial neural network (ANN) modeling. PCA score plots for average preprocessed NIR spectra show the specific grouping of the samples into three groups according to the emulsifier used, while the PCA analysis of the emulsion samples with different emulsifiers showed the specific grouping of the samples based on the amount of emulsifier used. The developed PLS models had higher R2 values for oil-in-water emulsions, ranging from 0.6863 to 0.9692 for calibration, 0.5617 to 0.8740 for validation, and 0.4618 to 0.8692 for prediction, than oil-in-aqueous mint extract emulsions, with R2 values that were in range of 0.8109–0.8934 for calibration, 0.5017–0.6620, for validation and 0.5587–0.7234 for prediction. Better results were obtained for the developed nonlinear ANN models, which showed R2 values in the range of 0.9428–0.9917 for training, 0.8515–0.9294 for testing, and 0.7377–0.8533 for the validation of oil-in-water emulsions, while for oil-in-aqueous mint extract emulsions R2 values were higher, in the range of 0.9516–0.9996 for training, 0.9311–0.9994 for testing, and 0.8113–0.9995 for validation. Full article
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21 pages, 3311 KiB  
Article
Development of NIR-Based ANN Models for On-Line Monitoring of Glycerol Concentration during Biodiesel Production in a Microreactor
Micromachines 2022, 13(10), 1590; https://doi.org/10.3390/mi13101590 - 25 Sep 2022
Cited by 2 | Viewed by 1414
Abstract
During the production process, a whole range of analytical methods must be developed to monitor the quality of production and the desired product(s). Most of those methods belong to the group of off-line monitoring methods and are usually recognized as costly and long-term. [...] Read more.
During the production process, a whole range of analytical methods must be developed to monitor the quality of production and the desired product(s). Most of those methods belong to the group of off-line monitoring methods and are usually recognized as costly and long-term. In contrast, on-line monitoring methods are fast, reliable, simple, and repeatable. The main objective of this study was to compare different methods for monitoring total glycerol concentration as one of the indicators of process efficiency during biodiesel production in a batch reactor and in a microreactor. During the biodiesel production process, the glycerol concentration was measured off-line using standard methods based on UV-VIS spectrophotometry and gas chromatography. Neither method provided satisfactory results, namely, both analyses showed significant deviations from the theoretical value of glycerol concentration. Therefore, near infrared spectroscopy (NIR) analysis was performed as an alternative analytical method. The analysis using NIR spectroscopy was performed in two ways: off-line, using a sample collected during the transesterification process, and on-line by the continuous measurement of glycerol concentration in a rector. Obtained results showed a great NIR application potential not only for off-line but also for on-line monitoring of the biodiesel production process. Full article
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