Determination of alcohol degree in Chinese spirit with terahertz time-domain transmission spectroscopy

Changsheng Guo; Jianjun Liu; Zhi Hong

doi:10.1117/12.900667

11 August 2011 Determination of alcohol degree in Chinese spirit with terahertz time-domain transmission spectroscopy

Changsheng Guo, Jianjun Liu, Zhi Hong

Proceedings Volume 8195, International Symposium on Photoelectronic Detection and Imaging 2011: Terahertz Wave Technologies and Applications; 81950Z (2011) https://doi.org/10.1117/12.900667
Event: International Symposium on Photoelectronic Detection and Imaging 2011, 2011, Beijing, China

Abstract

In this paper, we have determined water-ethanol mixtures and Chinese spirit with terahertz time-domain transmission spectroscopy (THz-TDS). Eleven samples of water-ethanol mixtures with varying alcohol degree from 0% to 100% (v/v), increased in 10%-steps, were used as the calibration set. Several Chinese spirit samples were used as the prediction set. We measured alcohol degree by alcohol meter, with measurement accuracy of 0.2% (v/v). Partial least square (PLS) model was employed for regression. The refractive index, absorption coefficient and mixed models by PLS regression together with alcohol degree were established, respectively. The predictive values of alcohol degree were very close to the reference values determined by alcohol meter. To assess the quality of the model, we calculated the correlation coefficient R-square, the root mean square errors of the calibration set (RMSEC) and the prediction set (RMSEP) of the three models. The results show that the absorption coefficient PLS regression model is the best method for determining alcohol degree of Chinese spirit with THz-TDS transmission measurement.

Citation Download Citation

Changsheng Guo, Jianjun Liu, and Zhi Hong "Determination of alcohol degree in Chinese spirit with terahertz time-domain transmission spectroscopy", Proc. SPIE 8195, International Symposium on Photoelectronic Detection and Imaging 2011: Terahertz Wave Technologies and Applications, 81950Z (11 August 2011); https://doi.org/10.1117/12.900667

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