Determination of Tobacco Constituents with Acousto-Optic Tunable Filter-Near Infrared Spectroscopy
Zhihui He, Wenliu Lian, Mingjian Wu, Ya Chen, Liyun Tang, Jia Luo
Abstract
Zhihui He, Wenliu Lian, Mingjian Wu, Ya Chen, Liyun Tang, Jia Luo
Abstract
In the present work, we developed an acousto-optic tunable filter near infrared (AOTF-NIR) reflectance spectroscopy method for determining tobacco constituents. The NIR spectra of 443 tobacco samples were collected using an AOTF-NIR spectrometer. Calibration models for total sugar, reducing sugar, nicotine and potassium in tobacco were built by partial least squares (PLS) regression for which regression R 2 were 0.984, 0.987, 0.988 and 0.920, respectively and the average relative standard deviations between the predicted values and the measured values were 2.68%, 2.88%, 4.18% and 8.38%, respectively. The results indicate that the AOTF-NIR technique is feasible for the analysis of tobacco constituents and provides a foundation for on-line monitoring in the tobacco process. To our knowledge, this is the first attempt to analyse tobacco constituents with AOTF-NIR spectroscopy.
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In the present work, we developed an acousto-optic tunable filter near infrared (AOTF-NIR) reflectance spectroscopy method for determining tobacco constituents. The NIR spectra of 443 tobacco samples were collected using an AOTF-NIR spectrometer. Calibration models for total sugar, reducing sugar, nicotine and potassium in tobacco were built by partial least squares (PLS) regression for which regression R 2 were 0.984, 0.987, 0.988 and 0.920, respectively and the average relative standard deviations between the predicted values and the measured values were 2.68%, 2.88%, 4.18% and 8.38%, respectively. The results indicate that the AOTF-NIR technique is feasible for the analysis of tobacco constituents and provides a foundation for on-line monitoring in the tobacco process. To our knowledge, this is the first attempt to analyse tobacco constituents with AOTF-NIR spectroscopy.
Key concepts: Partial least squares regression, Near-infrared spectroscopy, Calibration, Spectroscopy, Near infrared reflectance spectroscopy, Sugar, Spectrometer, Analytical Chemistry (journal)