Spectra of 700 typical samples were collected to develop the calibration models, among which the raw spectra were pretreated with first derivative and partial least square.
收集700个具有代表性样品的光谱，建立其相应指标的近红外模型。
The MLR mathematical model that established with orthogonal signal correction plus first derivative and mean centre preprocessed spectra shows the best result for glucose and fructose.
研究结果表明，原始光谱经均值中心化、一阶微分和正交信号校正预处理后，运用多元线性回归法所建葡萄糖和果糖定量分析模型最优。
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