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Special Issue "Bioprocess Monitoring, Measurement, and Control by Biosensor-Based Technologies"
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".
Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 14105
Special Issue Editors
Interests: online monitoring of bioprocesses including fermentation, cell culture, and biofuel production using optical spectral analysis technologies; micro- and nano-structured fibers based on silica and soft glasses; fast detection of raw materials and agriculture food; fiber-based surface plasmon resonance protein sensors; petrol/oil sensing; gas sensing; detection of environmental pollutants and food safety; fiber-based single-photon sources; fiber magnetometry based on nitrogen-vacancy centers; fiber/cavity-based biosensing; surface-enhanced Raman scattering and field enhanced fluorescence
Interests: label-free biosensors; optics; waveguides; cell-based sensors; tissue on a chip; cell adhesion; protein adsorption; single cell; sensor coatings; kinetics
Special Issue Information
Online analysis of bioprocesses is of increasing interest because it helps to reduce the time delay for offline sample preparation and following analyses via conventional methods. Continuous monitoring of reaction components is a prerequisite for the direct control of biotransformations. An ideal analytical system should ensure that each individual process can be monitored separately without interfering with the process itself and with minimized risk of contamination. Well established liquid chromatography and mass spectrometer are being used to for online analysis. The optical spectral analysis technologies are very attractive to perform this task because of the advantages of being non-invasive, non-destructive, and capable of taking measurements both offline and inline, and enabling quantitative analysis of multiple components in real-time. This Special Issue encompasses a broad range of optical spectral sensors including UV/NIR/MIR spectroscopy, Raman spectroscopy, fluorescence spectroscopy, optical waveguide sensing and surface plasmon resonance, and their at-line and online applications. Novel optics or fiber/waveguide probes with improved collection efficiency are welcome. Further topics that will be covered include any novel methods suitable for online bioprocess analysis with minimum interference. The application scenarios include but are not limited to the production of pharmaceuticals, chemicals, fuels, and food.
Dr. Yinlan Ruan
Dr. Robert Horvath
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biosensors is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- online monitoring
- ultraviolet spectroscopy
- near-infrared spectroscopy
- Mid-IR infrared spectroscopy
- raman spectroscopy
- surface plasmon resonance
- optical waveguide resonances
- data analysis
- machine learning