In this work, a full factorial design 2³ for the optimization of experiments was performed using a portable Raman spectrometer to find ideal instrumental conditions (laser power, analysis accessory, and luminosity) in the detection and quantification of adulterant, soybean oil, in extra virgin olive oil (EVOO). The ratio between the intensities of vibrational bands of 1440 and 1266 cm^–1, characteristics of oleic and linoleic acids, respectively, were evaluated as a response measure. It was found that the configuration of the accessories has no significant influence on the analytical response. For quantification of soybean oil in EVOO, an analytical curve was constructed with six concentrations of the binary mixture containing EVOO with soybean oil (100/0; 80/20; 60/40; 40/60; 20/80; and 0/100 % v/v) and the model was validated from use of five samples adulterated with known concentrations (90/10; 70/30; 50/50; 30/70; and 10/90 % v/v) employing the intensity (I) ratio of the I₁₂₆₆/I₁₄₄₀ and I₁₆₅₆/I₁₄₄₀. The best regression method, using ordinary least squares (OLS), was through the ratio of the intensity of I₁₂₆₆/I₁₄₄₀, which presented higher linearity with R²c and R²p of 0.9769 and 0.9450, respectively; and Root Mean Square Error of Calibration (RMSEC) and Root Mean Square Error of Prediction (RMSEP) of 1.445 and 1.975 % (v/v), respectively.

在这项工作中，使用便携式拉曼光谱仪进行了用于优化实验的全因子设计 2 ³以寻找理想的仪器条件（激光功率、分析附件和光度），以检测和定量掺假物、大豆油等。初榨橄榄油 (EVOO)。1440 和 1266 cm ^–1振动带强度的比值, 油酸和亚油酸的特性分别被评估为响应措施。发现附件的配置对分析响应没有显着影响。为了定量 EVOO 中的大豆油，构建了六种浓度的含有 EVOO 和大豆油的二元混合物（100/0；80/20；60/40；40/60；20/80；和 0/100）的分析曲线。 % v/v），并且模型通过使用掺假已知浓度（90/10；70/30；50/50；30/70；和 10/90 % v/v）的五个样品进行验证，采用强度（I ) I ₁₂₆₆ /I ₁₄₄₀和 I ₁₆₅₆ /I _{1440 的}比率。使用普通最小二乘法 (OLS) 的最佳回归方法是通过 I₁₂₆₆ /I ₁₄₄₀，其线性度更高，R ² c 和R²p 分别为0.9769 和0.9450；和校准的均方根误差 (RMSEC) 和预测的均方根误差 (RMSEP) 分别为 1.445 和 1.975 % (v/v)。