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
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引用次数: 1

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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用多参数分析光学检测模块对食醋进行流式细胞术鉴定
我们展示了一种用于醋流式细胞术鉴定的多参数分析低成本光学检测系统的概念验证演示。该多参数分析系统可以同时测量两种不同波长的时间复用激光器激发的激光诱导荧光、吸收和散射。据我们所知,没有其他基于聚合物光流芯片的系统提供更多的同时测量。光流体通道的设计旨在抵消粘性指法、气泡和乳液样品对这种检测系统正确操作的影响。不可预测的粘度变化和折射率的通道内容可以变成一个信息来源。样品由定制的低成本激光驱动器驱动的两个激光二极管激发。该光流芯片坚固耐用,易于操作,并可使用热压印重现。我们展示了一种定制的光机械支架,用于光流体芯片,确保正确对准并自动连接到外部流体系统。我们展示了一个实验,其中测量了92个醋样品。我们能够识别9种不同的醋,准确率达到94%。因此,我们展示了一种替代传统光学光谱解决方案的方法。此外,我们已经证明了预测食醋粘度和浊度的可能性,拟合优度R2超过0.947。
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