Rapid quantitative determination of 13 nonvolatile organic acids in flue-cured tobacco by near-infrared spectroscopy
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ZHOU Shengtao,
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PAN Lining,
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LIU Jinxia,
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GAO Xu,
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LI Junhua,
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DU Wei,
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YANG Jie,
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ZHOU Jinhua,
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LI Dongliang,
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ZHAO Le,
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LI Feng,
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JIN Zhe,
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ZHOU Zhigang,
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WANG Hongbo
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Abstract
Fourier transform near-infrared （FT-NIR） spectroscopy was used to collect spectra of 220 flue-cured tobacco leaf samples. After multiplicative signal correction （MSC）, first derivation and Savitzky-Golay （SG） smoothing processing, quantitative prediction models of 13 nonvolatile organic acids were established by using partial least square （PLS） method and using some samples as independent validation set. The mass fractions of 13 nonvolatile organic acids in the typical tobacco leaf samples of different flavor styles were compared. The results showed that: 1） The correlation coefficient （r） of calibration set and validation set in each model was about 0.9. 2) The ratios of standard error of prediction （SEP） to standard error of calibration (SEC） of each chemical index were 0.8-1.2. 3） The ratios of standard deviation （SD） to SEP were greater than 2.0. 4） The mass fractions of 13 nonvolatile organic acids in tobacco leaves of medium flavor style were the highest, followed by fen-flavor style, and those of full flavor style were the lowest. The established quantitative near-infrared prediction models were accurate and reliable and could be used to rapidly quantify the mass fractions of 13 nonvolatile organic acids in flue-cured tobacco.
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