Waveband Selection for NIR Spectroscopic Analysis of Zn²⁺ in Soil

Abstract:

Near-infrared (NIR) spectroscopy combined with moving window partial least squares (MWPLS) method was successfully applied to the waveband selection for the rapid chemical-free determination of Zn²⁺ in soil. Based on randomness and similarity, an effective approach was performed to obtain objective and practical models. The optimal MWPLS waveband was 1136-1252 nm, and the corresponding optimal number of PLS factors was 6. The validation root mean square error (V-SEP) and validation correlation coefficients (V-R_P) of prediction were 15.658 mg kg^-1 and 0.925, respectively. The Zn²⁺ prediction values of the validation samples are close to the measured values. The results provided a reliable NIR model and can serve as valuable references for designing the dedicated spectroscopic instruments.

• Periodical: Applied Mechanics and Materials (Volumes 365-366)
• Pages: 737-740
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.365-366.737
• Online since: August 2013
• Authors: Li Jun Yao, Jie Mei Chen, Tao Pan
• Keywords: Moving Window Partial Least Squares, Near Infrared Spectroscopy (NIRS), Soil, Waveband Selection, Zinc

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