Durum wheat adulteration detection by NIR spectroscopy multivariate calibration

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• 作者：Marina Cocchi ; Caterina Durante ; Giorgia Foca ; Andrea Marchetti ; Lorenzo Tassi and Alessandro Ulrici
• 关键词：NIR spectroscopy ; Multivariate calibration ; PLS ; WILMA ; Wavelet transform ; Durum wheat adulteration
• 刊名：Talanta
• 出版年：2006
• 出版时间：28 February 2006
• 年：2006
• 卷：68
• 期：5
• 页码：1505-1511
• 全文大小：156 K

文摘

In the present work, we explored the possibility of using near-infrared spectroscopy in order to quantify the degree of adulteration of durum wheat flour with common bread wheat flour. The multivariate calibration techniques adopted to this aim were PLS and a wavelet-based calibration algorithm, recently developed by some of us, called WILMA. Both techniques provided satisfactory results, the percentage of adulterant present in the samples being quantified with an uncertainty lower than that associated to the Italian official method. In particular the WILMA algorithm, by performing feature selection, allowed the signal pretreatment to be avoided and obtaining more parsimonious models.