Spectroscopy and Spectral Analysis, Volume. 41, Issue 7, 2159(2021)
Prediction of Acetic Acid Concentration in Chinese Liquors Based on Fluorescence Spectrumand Simulated Annealing Algorithm
Fig. 2. Signals of wavelet decomposition
(a): Approximate signal; (b): Detail signal
Fig. 3. Derivative spectrum of vintage liquor (excitation wavelength: 200 nm)
(a): First derivative spectrum; (b): Second derivative spectrum
Fig. 5. The correlation between concentration and original 3D spectra
Fig. 6. The correlation between derivative spectra and concentration
(a): First order derivative spectra;(b): Two order derivative spectra
Fig. 7. The correlation between wavelet decomposition spectra and concentration
(a): Detail signal in the 3rd layer;(b): Detail signal In the 4th layer
Fig. 8. Scatter diagram of second derivative spectral modeling results
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Lei XU, Wei-hua ZHU, Hong-bing YAO, Guo-qing CHEN, Hua QIAO, Feng ZHU, Ying GENG, Chun-mei TANG, Xiang HE. Prediction of Acetic Acid Concentration in Chinese Liquors Based on Fluorescence Spectrumand Simulated Annealing Algorithm[J]. Spectroscopy and Spectral Analysis, 2021, 41(7): 2159
Category: Research Articles
Received: Jun. 25, 2020
Accepted: --
Published Online: Sep. 8, 2021
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