Quantitative determination of n-heptane and n-octane using terahertz time-domain spectroscopy with chemometrics methods  

Quantitative determination of n-heptane and n-octane using terahertz time-domain spectroscopy with chemometrics methods

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作  者:Honglei ZHAN Fangli QIN Wujun JIN Li'na GE Honglan LIU Kun ZHAO 

机构地区:[1]Key Laboratory of Oil and Gas Terahertz Spectroscopy and Photoelectric Detection. CPCIF, Beijing 100723, China [2]Laboratory of Optic Sensing and Detecting Technology. China University of Petroleum. Beijing 102249, China

出  处:《Frontiers of Optoelectronics》2015年第1期57-61,共5页光电子前沿(英文版)

摘  要:This paper introduces the terahertz time- domain spectroscopy (THz-TDS) used for the quantitative detection of n-heptane volume ratios in 41 n-heptane and n-octane mixtures with the concentration range of 0-100% at the intervals of 2.5%. Among 41 samples, 33 were used for calibration and the remaining 8 tbr validation. Models of chemometrics methods, including partial least squares (PLS) and back propagation-artificial neural network (BP-ANN), were built between the THz- TDS and the n-heptane percentage. To evaluate the quality of the built models, we calculated the correlation coefficient (R) and root-mean-square errors (RMSE) of calibration and validation models. R and RMSE of two methods were close to 1 and 0 within acceptable levels, respectively, demonstrating that the combination of THz- TDS and chemometrics methods is a potential and promising tool for further quantitative detection of n- alkanes.This paper introduces the terahertz time- domain spectroscopy (THz-TDS) used for the quantitative detection of n-heptane volume ratios in 41 n-heptane and n-octane mixtures with the concentration range of 0-100% at the intervals of 2.5%. Among 41 samples, 33 were used for calibration and the remaining 8 tbr validation. Models of chemometrics methods, including partial least squares (PLS) and back propagation-artificial neural network (BP-ANN), were built between the THz- TDS and the n-heptane percentage. To evaluate the quality of the built models, we calculated the correlation coefficient (R) and root-mean-square errors (RMSE) of calibration and validation models. R and RMSE of two methods were close to 1 and 0 within acceptable levels, respectively, demonstrating that the combination of THz- TDS and chemometrics methods is a potential and promising tool for further quantitative detection of n- alkanes.

关 键 词:terahertz time-domain spectroscopy (THz-TDS) N-HEPTANE N-OCTANE partial least squares (PLS) back propagation-artificial neural network (BP-ANN) 

分 类 号:O434.3[机械工程—光学工程] TG142.12[理学—光学]

 

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