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PoC Amylase Biosensor
Linköping University, Department of Physics, Chemistry and Biology, Biosensors and Bioelectronics. Linköping University, The Institute of Technology.
Linköping University, Department of Physics, Chemistry and Biology, Biosensors and Bioelectronics. Linköping University, The Institute of Technology.
Linköping University, Department of Physics, Chemistry and Biology, Biosensors and Bioelectronics. Linköping University, The Institute of Technology.
Linköping University, Department of Physics, Chemistry and Biology, Biosensors and Bioelectronics. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-1815-9699
2014 (English)In: 24th Anniversary World Congress on Biosensors – Biosensors 2014, Elsevier, 2014Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

A rapid, inexpensive and quantitative biosensor to measure alpha-amylase activity within the relevant clinical range has been developed.  This device is suited for point-of-care (PoC) applications because it is easy to use and disposable.  Salivary α-amylase activity is correlated to stress levels and, therefore, it is a potential monitoring candidate for neurological conditions (e.g. Multiple Sclerosis) for which there are no objective diagnostics available.  The enzyme is also utilized in many industrial processes like fermentation and textile production, where real-time, on-site monitoring can be advantageous for accurate process control.  In contrast to other α-amylase quantitative methods, this biosensor is rapid (results within 10 minutes), it does not require bench-top or specialized equipment (i.e. it is portable and does not need to be sent to a laboratory for results), and the general public can perform the analysis (no specialized training needed).  An electro-active moiety, which is sensitive to α-amylase activity, is incorporated into the biosensor design and generates a signal that is proportional to the alpha-amylase activity in the sample (Figure 1, below).  This new device will allow researchers to better diagnose and monitor neurological conditions and follow treatment effectiveness without relying solely on subjective assessments.  In addition, using this novel biosensor to monitor industrial processes that utilize α-amylase could reduce production costs and waste generation for these industries.

Place, publisher, year, edition, pages
Elsevier, 2014.
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:liu:diva-108423OAI: oai:DiVA.org:liu-108423DiVA: diva2:730279
Conference
24th Anniversary World Congress on Biosensors – Biosensors 2014, 27-30 May 2014, Melbourne, Australia
Available from: 2014-06-27 Created: 2014-06-27 Last updated: 2014-08-26

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Gifford, RaeannLundström, IngemarTurner, Anthony

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