Determination of Tobacco Constituents with Acousto-Optic Tunable Filter-Near Infrared Spectroscopy

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 R2 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.

[1]  P. Thomas The crystal structure and absolute optical chirality of paratellurite, α-TeO2 , 1988 .

[2]  R. Hoy,et al.  Fourier Transform Near-Infrared Spectrometry: Using Interferograms to Determine Chemical Composition , 1989 .

[3]  L. Gratani A non-destructive method to determine chlorophyll content of leaves , 1992 .

[4]  P. Treado,et al.  Indium Antimonide (InSb) Focal Plane Array (FPA) Detection for Near-Infrared Imaging Microscopy , 1994 .

[5]  Martin Hühne,et al.  Performance and Selected Applications of an Acousto-Optic Tunable Filter Near-Infrared Spectrometer , 1995 .

[6]  W. F. McClure,et al.  Applying Artificial Neural Networks. I. Estimating Nicotine in Tobacco from near Infrared Data , 1995 .

[7]  Genetic control and repeatability of near infrared reflectance from Eucalyptus nitens wood-meal , 1996 .

[8]  M. Baptista,et al.  Near-infrared detection of flow injection analysis by acoustooptic tunable filter-based spectrophotometry. , 1996, Analytical chemistry.

[9]  K. Norris,et al.  4. Direct Spectrophotometric Determination of Moisture Content of Grain and Seeds , 1996 .

[10]  Characterization of an erbium-doped fiber amplifier as a light source and development of a near-infrared spectrophotometer based on the EDFA and an acoustooptic tunable filter. , 1996, Analytical chemistry.

[11]  D. Bahler,et al.  Applying Artificial Neural Networks: Part II. Using near Infrared Data to Classify Tobacco Types and Identify Native Grown Tobacco , 1997 .

[12]  G. Batten,et al.  Measuring Potassium in Plant Tissues Using near Infrared Spectroscopy , 1998 .

[13]  Pierre Dardenne,et al.  Attempted Authentication of Cut Pieces of Chicken Meat from Certified Production Using near Infrared Spectroscopy , 2000 .

[14]  C. Pasquini,et al.  Evaluation of a Dual-Beam Near-Infrared Spectrometer Based on Acousto-Optic Tunable Filters , 2001 .

[15]  Robert A. Graybosch,et al.  Identification of Waxy Wheat by Near-infrared Reflectance Spectroscopy , 2002 .

[16]  Xueguang Shao,et al.  Determination of Chlorogenic Acid in Plant Samples by Using Near-Infrared Spectrum with Wavelet Transform Preprocessing , 2004, Analytical sciences : the international journal of the Japan Society for Analytical Chemistry.