Flow-cytometric identification of vinegars using a multi-parameter analysis optical detection module

T. Verschooten; H. Ottevaere; M. Vervaeke; J. Van Erps; M. Callewaert; W. De Malsche; H. Thienpont

doi:10.1117/12.2197474

24 September 2015 Flow-cytometric identification of vinegars using a multi-parameter analysis optical detection module

T. Verschooten, H. Ottevaere, M. Vervaeke, J. Van Erps, M. Callewaert, W. De Malsche, H. Thienpont

Proceedings Volume 9628, Optical Systems Design 2015: Optical Fabrication, Testing, and Metrology V; 962822 (2015) https://doi.org/10.1117/12.2197474
Event: SPIE Optical Systems Design, 2015, Jena, Germany

Abstract

We show a proof-of-concept demonstration of a multi-parameter analysis low-cost optical detection system for the flowcytometric identification of vinegars. This multi-parameter analysis system can simultaneously measure laser induced fluorescence, absorption and scattering excited by two time-multiplexed lasers of different wavelengths. To our knowledge no other polymer optofluidic chip based system offers more simultaneous measurements. The design of the optofluidic channels is aimed at countering the effects that viscous fingering, air bubbles, and emulsion samples can have on the correct operation of such a detection system. Unpredictable variations in viscosity and refractive index of the channel content can be turned into a source of information. The sample is excited by two laser diodes that are driven by custom made low-cost laser drivers. The optofluidic chip is built to be robust and easy to handle and is reproducible using hot embossing. We show a custom optomechanical holder for the optofluidic chip that ensures correct alignment and automatic connection to the external fluidic system. We show an experiment in which 92 samples of vinegar are measured. We are able to identify 9 different kinds of vinegar with an accuracy of 94%. Thus we show an alternative approach to the classic optical spectroscopy solution at a lowered. Furthermore, we have shown the possibility of predicting the viscosity and turbidity of vinegars with a goodness-of-fit R² over 0.947.

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T. Verschooten, H. Ottevaere, M. Vervaeke, J. Van Erps, M. Callewaert, W. De Malsche, and H. Thienpont "Flow-cytometric identification of vinegars using a multi-parameter analysis optical detection module", Proc. SPIE 9628, Optical Systems Design 2015: Optical Fabrication, Testing, and Metrology V, 962822 (24 September 2015); https://doi.org/10.1117/12.2197474

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