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A Comparison of Analytical and Data Preprocessing Methods for Spectral Fingerprinting
Volume 65, Number 3 (March 2011) Page 250-259
DEVANAND L. LUTHRIA,* SUDARSAN MUKHOPADHYAY, LONG-ZE LIN, and JAMES M. HARNLY
Spectral fingerprinting, as a method of discriminating between plant cultivars and growing treatments for a common set of broccoli samples, was compared for six analytical instruments. Spectra were acquired for finely powdered solid samples using Fourier transform infrared (FT-IR) and Fourier transform near-infrared (NIR) spectrometry. Spectra were also acquired for unfractionated aqueous methanol extracts of the powders using molecular absorption in the ultraviolet (UV) and visible (VIS) regions and mass spectrometry with negative (MS−) and positive (MS+) ionization. The spectra were analyzed using nested one-way analysis of variance (ANOVA) and principal component analysis (PCA) to statistically evaluate the quality of discrimination. All six methods showed statistically significant differences between the cultivars and treatments. The significance of the statistical tests was improved by the judicious selection of spectral regions (IR and NIR), masses (MS+ and MS−), and derivatives (IR, NIR, UV, and VIS).
Index Headings: Spectral fingerprinting; Near-infrared spectroscopy; NIR spectroscopy; Ultraviolet–visible spectroscopy; UV-Vis spectroscopy; Direct mass spectrometry; Classification; Discrimination; Broccoli; Growing conditions; Analysis of variance; ANOVA; Principal component analysis; PCA; ANOVA-PCA.