Caruso Rosario, Scordino Monica, Traulo Pasqualino, Gagliano Giacomo
Department of Food Processing Products Quality Safeguard and Fraud Repression Central Inspectorate (I.C.Q.R.F.), Catania Laboratory, Via Alessandro Volta, 19-95122 Catania, Italy.
J AOAC Int. 2012 Mar-Apr;95(2):459-71. doi: 10.5740/jaoacint.11-044.
A capillary GC-flame ionization detection (FID) method to determine volatile compounds (ethyl acetate, 1,1-diethoxyethane, methyl alcohol, 1-propanol, 2-methyl-1-propanol, 2-methyl-1-butanol, 3-methyl-1-butanol, 1-butanol, and 2-butanol) in wine was investigated in terms of calculation of detection limits and calibration method. The main objectives were: (1) calculation of regression coefficient parameters by ordinary least-squares (OLS) and bivariate least-squares (BLS) regression models, taking into account errors in both axes; (2) estimation of linear dynamic range (LDR) according to International Conference on Harmonization recommendations; (3) performance evaluation of a method by using three different internal standards (ISs) such as acetonitrile, acetone, and 1-pentanol; (4) evaluation of LODs according to the U.S. Environmental Protection Agency (EPA) 3sigma approach and the Hubaux-Vos (H-V) method; (5) application of H-V theory to a gas chromatographic analytical method and to a food matrix; and (6) accuracy assessment of the method relative to methyl alcohol content through a Unione Italiana Vini (UIV) interlaboratory proficiency test. Calibration curves calculated via BLS and OLS show similar slopes, while intercepts are closer to zero in the first case, independent of the chosen IS. The studied ISs show a substantially equivalent behavior, even though the IS closer to the analyte retention time seems to be more appropriate in terms of LDR and LOD. Results indicate an underestimation of LODs using the EPA 3sigma approach instead of the more realistic H-V method, both with OLS and BLS regression models. Methanol contents compared with UIV average values indicate recovery between 90 and 110%.
研究了一种采用毛细管气相色谱 - 火焰离子化检测(FID)法测定葡萄酒中挥发性化合物(乙酸乙酯、1,1 - 二乙氧基乙烷、甲醇、1 - 丙醇、2 - 甲基 - 1 - 丙醇、2 - 甲基 - 1 - 丁醇、3 - 甲基 - 1 - 丁醇、1 - 丁醇和2 - 丁醇)的方法,涉及检测限的计算和校准方法。主要目标包括:(1)通过普通最小二乘法(OLS)和双变量最小二乘法(BLS)回归模型计算回归系数参数,同时考虑两个轴上的误差;(2)根据国际协调会议的建议估算线性动态范围(LDR);(3)使用三种不同的内标物(ISs),如乙腈、丙酮和1 - 戊醇对方法进行性能评估;(4)根据美国环境保护局(EPA)的3σ方法和Hubaux - Vos(H - V)方法评估检测限(LODs);(5)将H - V理论应用于气相色谱分析方法和食品基质;(6)通过意大利葡萄酒联盟(UIV)实验室间能力验证测试评估该方法相对于甲醇含量的准确性。通过BLS和OLS计算的校准曲线显示出相似的斜率,而在第一种情况下截距更接近零,与所选的内标物无关。所研究的内标物表现出基本等效的行为,尽管就LDR和LOD而言,与分析物保留时间更接近的内标物似乎更合适。结果表明,无论是使用OLS还是BLS回归模型,采用EPA的3σ方法而非更实际的H - V方法都会低估检测限。与UIV平均值相比,甲醇含量表明回收率在90%至110%之间。