Abstract
To evaluate the applicability of near infrared (NIR) spectroscopy for discrimination between mature vinegar with different marked age (1 year, 3 years, and 5 years), transmission spectra were collected in the spectral range from 800 nm to 2500 nm in 1, 2, and 5 mm optical path-length rectangular quartz cuvettes with air as reference at room temperature. Discriminant models were developed based on discriminant analysis (DA) together with raw, first and second derivative spectra. The calibration result for raw spectra was better than that for first and second derivative spectra. The percentage of samples correctly classified for raw were 100% for 1 year old, 100% for 3 years old and 97.5% for 5 years old, respectively. In validation analysis, for 1 year, 3 years, and 5 years old sample groups, the percentage of samples correctly classified was 100%, 100%, and 100%, respectively. The results demonstrated that NIR spectroscopy could be used as a rapid and reliable method for classification of mature vinegar with different marked age.
The paper supported by by Shanxi Youth Science and Technology Research Fund (No. 2009021019-3).
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Keywords
- Discriminant Analysis
- Mahalanobis Distance
- Derivative Spectrum
- Chinese Rice Wine
- Quartz Tungsten Halogen
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An, Z., Lu, H., Jiang, H., Ying, Y. (2011). Prediction of Marked Age of Mature Vinegar Based on Fourier Transform Near Infrared Spectroscopy. In: Li, D., Liu, Y., Chen, Y. (eds) Computer and Computing Technologies in Agriculture IV. CCTA 2010. IFIP Advances in Information and Communication Technology, vol 344. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18333-1_89
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DOI: https://doi.org/10.1007/978-3-642-18333-1_89
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