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In this study, we developed an odor sensor system using chemosensitive resistors, which outputted multichannel data. Mixtures of gas chromatography stationary materials (GC materials) and carbon black were used as the chemosensitive resistors. The interaction between the chemosensitive resistors and gas species shifted the electrical resistance of the resistors. Sixteen different chemosensitive resistors were fabricated on an odor sensor chip. In addition, a compact measurement instrument was fabricated. Sixteen channel data were obtained from the measurements of gas species using the instrument. The data were analyzed using machine learning algorithms available on Weka software. As a result, the sensor system successfully identified alcoholic beverages. Finally, we demonstrated the classification of restroom odor in a field test. The classification was successful with an accuracy of 97.9%.

The O consumption rate of embryos has been attracting much attention as a key indicator of cell metabolisms and development. In this study, we propose an on-chip device that enables the accurate, easy, and noninvasive measurement of O consumption rates of single embryos. Pt electrodes and micropits for embryo settlement were fabricated on Si chips via microfabrication techniques. The configuration of the device enables the detection of O concentration profiles surrounding the embryos by settling embryos into the pits with a mouth pipet. Moreover, as the detection is based on an electrochemical method, the influence of O consumption on the electrodes was also considered. By using a simulator (COMSOL Multiphysics), we estimated the O concentration profiles in the device with and without the effects of the electrodes. Based on the simulation results, we developed a normalization process to calculate the precise O consumption rate of the sample. Finally, using both the measurement system and the algorithm for the analysis, the respiratory activities of mouse embryos were successfully measured.

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