Department of Analytical Chemistry, Nutrition and Food Science, Faculty of Chemistry, University of Salamanca, 37008, Salamanca, Spain.
J Sci Food Agric. 2014 Mar 30;94(5):876-81. doi: 10.1002/jsfa.6325. Epub 2013 Aug 22.
Quinoa (Chenopodium quinoa Willd.) has been traditionally used as a foodstuff in the Andes and it has gained increasing interest in recent years owing to its high nutritional value. The potential of near-infrared spectroscopy (NIRS) for estimating chemical compounds in quinoa was studied because of the possibility of conducting direct measurement without prior sample treatment.
The use of NIRS technology with a remote reflectance fiber-optic probe for the analysis of major compounds and mineral composition of 48 quinoa samples was studied. The calibration of the NIRS instrument was conducted using modified partial least squares (MPLS) analysis. This allowed the determination of protein (16.0-20.2 g 100g⁻¹), crude fiber (1.8-3.1 g 100g⁻¹), fat (4.4-7.5 g 100g⁻¹), calcium (298.8-1164.5 mg kg⁻¹), iron (0-948.5 mg kg⁻¹) and phosphorus (2735.0-4543.3 mg kg⁻¹). The correlation coefficients (RSQ) were 0.83 for protein, 0.73 for crude fiber, 0.93 for fat; 0.60 for calcium; 0.76 for iron and 0.75 for phosphorus. The robustness of the equations obtained was verified by external validation on unknown quinoa samples.
NIRS with fiber-optic probe provides an alternative for the determination of chemical compounds of quinoa, faster and at lower cost, with results comparable with chemical methods.
藜麦(Chenopodium quinoa Willd.)传统上被用作安第斯山脉的食物,近年来由于其高营养价值而引起了越来越多的关注。由于可以直接进行测量而无需事先进行样品处理,因此研究了近红外光谱(NIRS)用于估算藜麦中化学化合物的潜力。
研究了使用带有远程反射光纤探头的 NIRS 技术分析 48 个藜麦样品的主要化合物和矿物质组成。使用改进的偏最小二乘(MPLS)分析对 NIRS 仪器进行了校准。这使得可以确定蛋白质(16.0-20.2 g 100g⁻¹),粗纤维(1.8-3.1 g 100g⁻¹),脂肪(4.4-7.5 g 100g⁻¹),钙(298.8-1164.5 mg kg⁻¹),铁(0-948.5 mg kg⁻¹)和磷(2735.0-4543.3 mg kg⁻¹)。蛋白质的相关系数(RSQ)为 0.83,粗纤维为 0.73,脂肪为 0.93;钙为 0.60;铁为 0.76;磷为 0.75。通过对未知藜麦样品进行外部验证,验证了获得的方程的稳健性。
带有光纤探头的 NIRS 为快速,低成本地确定藜麦的化学化合物提供了一种替代方法,其结果可与化学方法媲美。