Instituto de la Grasa, CSIC, Avenida Padre Garcı́a Tejero 4, 41012 Sevilla, Spain.
J Agric Food Chem. 2013 Aug 28;61(34):8056-62. doi: 10.1021/jf4021575. Epub 2013 Aug 14.
This paper reports the determination of the olive oil stability index (OSI) by multivariate models from the visible and near-infrared spectrum. The technique proposed is rapid and nondestructive and can be used as a multiparametric method. Moreover, it does not require specific instrumentation, and it is environmentally friendly. The determination of the OSI using the Rancimat instrument was used as a reference method. Predictive visible and near-infrared (vis/NIRS) models were obtained from partial least squares (PLS) for the OSI, showing satisfactory performance in independent tests as proven by the R(2) values of 0.93 and 0.94 from the calibration and the residual predictive deviation (RPD) of the external validations of 3.30 and 3.00, respectively. Predictive models for the determination of free fatty acids, peroxide value, and conjugated dienes were also developed, and their satisfactory performances were demonstrated by RPDs of 3.14, 2.84, and 2.56; hence, its multiparametric determination together with OSI would be possible.
本文报道了利用可见近红外光谱多元模型测定橄榄油稳定指数(OSI)的方法。该技术快速无损,可作为一种多参数方法使用。此外,它不需要特定的仪器,且环保。采用罗维朋比色计(Rancimat)测定 OSI 作为参考方法。通过偏最小二乘法(PLS)获得了 OSI 的可见近红外(vis/NIRS)预测模型,独立测试结果证明其性能令人满意,校准和外部验证的 R(2) 值分别为 0.93 和 0.94,RPD 值分别为 3.30 和 3.00。还开发了测定游离脂肪酸、过氧化物值和共轭二烯的预测模型,其 RPD 值分别为 3.14、2.84 和 2.56,表明其性能令人满意。因此,有可能与 OSI 一起进行多参数测定。