Monitoring the authenticity of organic rice via chemometric analysis of elemental data

作者：Borges Endler Marcel; Lafayette Neves Gelinski Jane Mary; de Oliveira Souza Vanessa Cristina; Barbosa Fernando Jr; Batista Bruno Lemos

来源：Food Research International, 2015, 77: 299-309.

DOI：10.1016/j.foodres.2015.06.008

• Chemometrics
• ICP-MS
• Multi-element fingerprinting
• Organic food
• Quality control
• Rice

50 rice samples (18 organic and 32 ordinary) from Brazil were analyzed with inductively coupled plasma mass spectrometry (ICP-MS) for 20 elements (As, B, Ba, Ca, Cd, Ce, Co, Cr, Cu, Fe, K, La, Mg, Mn, Mo, P, Pb, Rb, Se and Zn) to identify significant differences between the two types (organic and ordinary) of rice. Concentrations of As, B, Ba, Co, Cr, Cu, Mn, P and Zn were found to be higher in ordinary versus organic rice, while K, Ca, Mo, Rb and Se concentrations were lower in ordinary versus organic samples. The remaining investigated elements (Cd, Ce, Fe, La, Mg and Pb) exhibited statistically equivalent concentration in the two types of rice. Principal Component Analysis (PCA), Soft Independent Modeling of Class Analogy (SIMCA), Hierarchical Cluster Analysis (HCA) and K-nearest neighbors (KNN) statistical techniques of the elemental fingerprints were readily able to discriminate organic from ordinary samples and can be used as alternative methods for adulteration evaluation.

• 出版日期2015-11