Detection of yeast strains by combining surface-imprinted polymers with impedance-based readout

Autor: Soroush Bakhshi Sichani, Derick Yongabi, Carmen Bartic, Tristan Putzeys, Tiago Pinto, Patrick Wagner, Marc Heyndrickx, Kevin J. Verstrepen, Florian A. Thesseling, Olivier Deschaume, Wouter Stilman, Michael Wübbenhorst
Rok vydání: 2021
Předmět:
Zdroj: Sensors and Actuators B: Chemical. 340:129917
ISSN: 0925-4005
Popis: In this work, we present a new technique for the sensitive and facile detection of Saccharomyces strains with a detection limit of 30 cells/mL in both buffer solution and food samples such as beer and yoghurt. This is achieved by combining ultrathin surface-imprinted polymer (SIP) layers as receptors with impedance spectroscopy as the readout principle. Binding of cells to the imprinted polymer surface results in a concentration-dependent increase of the impedance signal. According to the equivalent-circuit modelling of the impedance spectra, this is due to an increase of the resistive component of the solid-liquid interface while capacitive effects are negligible. Regarding selectivity, we prepared imprints with three different template strains and compared the sensor response for using the same three strains as targets. The response is strongest for combinations in which templates and targets belong to the same strain. For other situations, the sensor signal is reduced by a factor of three, indicating a certain level of selectivity, which can be interpreted in terms of size and cell wall differences. In summary, the combination of SIP-type receptors with impedance spectroscopy offers a fast and sensitive technique for on-site analysis of complex food matrices outside a laboratory environment. The results for yeast should be transferable to other microorganisms, including pathogenic ones.
Databáze: OpenAIRE