Chemometric approach to evaluate trace metal concentrations in some spices and herbs

• Published in: Food chemistry Vol. 130; no. 1; pp. 196 - 202
• Main Authors: Karadaş, Cennet, Kara, Derya
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2012
• Subjects: arsenic; barium; black pepper; Cadmium; calcium; Chemometrics; chromium; cinnamon; Classification; Cluster analysis; cobalt; copper; cumin; Curcuma longa; discriminant analysis; Herbs; hot peppers; iron; Linear discriminant analysis; magnesium; manganese; mint; nickel; Piper nigrum; Principal component analysis; rosemary; Rosmarinus; Spectrometry; Spectroscopy; Spices; strontium; thyme; Thymus; Trace elements; Trace metals; turmeric; zinc; Herbs; Cluster analysis; Classification; Spices; Trace elements; Linear discriminant analysis; Principal component analysis
• ISSN: 0308-8146; 1873-7072
• DOI: 10.1016/j.foodchem.2011.07.006

► Trace metallic analyte concentrations in herbs and spices. ► Determination of trace elements using both ICP-OES and ICP-MS. ► The chemometric evaluation techniques of PCA, LDA and CA. ► Classification of herbs and spices using chemometric techniques. Herbs (mint, thyme and rosemary) and spices (black pepper, chili pepper, cinnamon, cumin, sweet red pepper and turmeric) were analysed using atomic spectrometry and then subjected to chemometric evaluation in an attempt to classify them using their trace metallic analyte concentrations (As, Ba, Ca, Cd, Co, Cr, Cu, Fe, Mg, Mn, Ni, Sr and Zn). Trace metals in acid digests of these materials were determined using both inductively coupled plasma-atomic emission spectrometry and inductively coupled plasma-mass spectrometry. The chemometric techniques of principal component analysis (PCA), linear discriminant analysis (LDA) and cluster analysis (CA) were used for the classification studies. These herbs and spices were classified into five groups by PCA and CA. When the results of these techniques were compared with those from LDA, it was found that all group members determined by PCA and CA are in the predicted group that 100.0% of original grouped cases correctly classified by LDA.