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    Portfolio tags: QCM

    Robust multi-parametric sensor system for the online detection of microbial biofilms in industrial applications — Preliminary examination

    Thursday, 09 July 2020 by Paul Luutz

    Biofilm formation can cause serious health hazards, mostly due to the uncontrolled release of pathogens. This can generate several problems in industrial facilities, e.g., in the food industry. The aim of the present study was to develop and implement a multi-parametric sensor system to monitor biofilm formation in laboratory as well as industrial set-ups. To minimize cross sensitivity or interference, the device was based on a combination of different measurement principles. Micro-organisms were initially cultivated in a laboratory scale reactor. Afterwards, biofilm formation will be studied with each prototype of the multi-parametric sensor followed by final tests on an industrial scale.

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    Biosensor of Inflammation Biomarker NLRP3 Based on Electrical Bioimpedance

    Thursday, 18 June 2020 by Paul Luutz

    The development of biosensors to identify the molecular markers of specific genes is fundamental for the implementation of new techniques that allow the detection of specific DNA sequences in a fast, economic, and simple way. Electrical Bioimpedance Spectroscopy (EBiS) has been used for the diagnosis and monitoring of human pathologies, and is recognized as a safe, fast, reusable, easy, and inexpensive technique. This study proves the development of a complementary DNA (cDNA) biosensor based on measurements of EBiS and of the immobilization of DNA without chemical modifications, and presents the evaluation of its potential usefulness in the detection of the gene expression of an inflammation characteristic biomarker, NLRP3, is presented. The obtained results demonstrate that EBiS can be used to identify different gene expression patterns, and measurements were compared with Quartz Crystal Microbalance with Dissipation monitoring (QCM-D) and validated by Quantitative Polymerase Chain Reaction (qPCR). These results indicate the technical feasibility of a biosensor of specific genes through bioimpedance measurements in the immobilization of cDNA.

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