Theoretical and Applied Chemometrics Laboratory (LQTA), Institute of Chemistry, University of Campinas - Unicamp, P.O. Box 6154, 13084-971 Campinas, SP, Brazil.
Food Science and Quality Center (CCQA), Food Technology Institute (ITAL), Av. Brasil 2880, P.O. Box 139, 13070-178 Campinas, SP, Brazil.
Food Chem. 2019 Feb 1;273:85-90. doi: 10.1016/j.foodchem.2018.02.017. Epub 2018 Feb 9.
Bee pollen consumption has increased in the last years, mainly due to its nutritional value and therapeutic applications. The quantification of mineral constituents is of great importance in order to evaluate both, the toxicity and the beneficial effect of essential elements. The purpose of this work was to quantify the essential elements, Ca, Mg, Zn, P and K, by diffuse reflectance spectra in the near infrared region (NIR) combined with partial least squares regression (PLS), which is a clean and fast method. Reference method used was ICP OES. The determination coefficients for calibration models (R) were above 0.87 and the mean percent calibration error varied from 5 to 10%. For external validation R values were higher than 0.76. The results indicated that NIR spectroscopy can be useful for an approximate quantification of these minerals in bee pollen samples and can be used as a faster alternative to the standard methodologies.
近年来，由于蜂花粉具有营养价值和治疗应用，其消费有所增加。为了评估必需元素的毒性和有益效果，定量分析矿物质成分非常重要。本工作旨在通过近红外漫反射光谱（NIR）结合偏最小二乘回归（PLS）定量分析 Ca、Mg、Zn、P 和 K 等必需元素，这是一种清洁、快速的方法。参考方法为 ICP-OES。校准模型的决定系数（R）均高于 0.87，平均校准误差百分比变化范围为 5%至 10%。对于外部验证，R 值高于 0.76。结果表明，NIR 光谱法可用于近似定量分析蜂花粉样品中的这些矿物质，可作为标准方法的更快替代方法。
