Abstract
The objective of this research was to determine how NIR measurements of VC content in Shatangju (Citrus reticulate Blanco) was affected by wavelet de-noising (WD) method. Firstly, outlier samples (NO.3, 17, 76) were removed based on sample residuals. Then the spectra of 85 samples within 500-2500nm were decomposed in level 2,3 and 4 using the orthogonal wavelet functions DB n(n=2,3,4,5,6,7,8). Lastly the precision and stability of PLS model with different pretreatments were compared. WD was examined to be the optimal spectrum preprocessing method. The PLS model with DB2 wavelet de-noise (in decomposition level 4) produced best result (RMSEC=6.006, RMSECV=8.080, r c =0.896 and r v =0.808). The results showed that the NIR model treated by WD is feasible to detect VC content of Shatangju rapidly and nondestructively.
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Dai, F., Hong, T., Yue, X., Hong, Y., Li, Y. (2011). Nondestructive Examination of VC Content of Intact Shatangju with Near Infrared (NIR) Spectroscopy Based on Wavelet De-noising. In: Zeng, D. (eds) Future Intelligent Information Systems. Lecture Notes in Electrical Engineering, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19706-2_60
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DOI: https://doi.org/10.1007/978-3-642-19706-2_60
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