Determination of the Mineral Composition and Toxic Element Contents of Propolis by Near Infrared Spectroscopy

Sensors

M. Inmaculada González-Martín⁴  Olga Escuredo¹  Isabel Revilla³  Ana M. Vivar-Quintana³  M. Carmen Coello¹  Carlos Palacios Riocerezo²  Guillermo Wells Moncada⁵ 

[1] Departamento BiologíaVegetal y Ciencias del Suelo. Facultad de Ciencias, Universidad de Vigo, As Lagoas, Ourense 32004, Spain; E-Mails:;Área de Producción Animal, Facultad de Ciencias Agrarias y Ambientales, Universidad. Avda, Filiberto Villalobos, Salamanca 119-129, Spain; E-Mail:;Área de Tecnología de los Alimentos, Escuela Politécnica Superior de Zamora, Avda Requejo 33, Zamora 49022, Spain; E-Mails:;Departamento de Química Analítica, Nutrición y Bromatología. Facultad de Ciencias Químicas, Universidad C/ Plaza de los Caidos s/n. Salamanca 37008, Spain;Departamento de Producción Animal, Facultad de Agronomía, Universidad de Concepción, Avda. Vicente Méndez, 595 Chillán, Chile; E-Mail:

关键词: propolis;    mineral composition;    lead;    near-infrared spectroscopy;    determination;    cross-validation;   

DOI  :  10.3390/s151127854

来源: mdpi

【 摘 要 】

The potential of near infrared spectroscopy (NIR) with remote reflectance fiber-optic probes for determining the mineral composition of propolis was evaluated. This technology allows direct measurements without prior sample treatment. Ninety one samples of propolis were collected in Chile (Bio-Bio region) and Spain (Castilla-León and Galicia regions). The minerals measured were aluminum, calcium, iron, potassium, magnesium, phosphorus, and some potentially toxic trace elements such as zinc, chromium, nickel, copper and lead. The modified partial least squares (MPLS) regression method was used to develop the NIR calibration model. The determination coefficient (R²) and root mean square error of prediction (RMSEP) obtained for aluminum (0.79, 53), calcium (0.83, 94), iron (0.69, 134) potassium (0.95, 117), magnesium (0.70, 99), phosphorus (0.94, 24) zinc (0.87, 10) chromium (0.48, 0.6) nickel (0.52, 0.7) copper (0.64, 0.9) and lead (0.70, 2) in ppm. The results demonstrated that the capacity for prediction can be considered good for wide ranges of potassium, phosphorus and zinc concentrations, and acceptable for aluminum, calcium, magnesium, iron and lead. This indicated that the NIR method is comparable to chemical methods. The method is of interest in the rapid prediction of potentially toxic elements in propolis before consumption.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.