目的 建立近红外光谱法测定骨龙胶囊中间品中水分的方法。方法 采用偏最小二乘回归（PLSR）法建立NIRS与水分的定量校正模型，并对Norris平滑、一阶导数、二阶导数、S-G平滑的预处理方法对建模结果影响进行比较。结果 采用一阶导数预处理模型性能最佳，其中交叉验证误差均方根（RMSEC）为0.155，相关系数为0.972 8。结论 近红外光谱法操作简单，检测时间短，适用于骨龙胶囊中控产品水分的测定。

Objective To established a method for determination of moisture in Gulong Capsules intermediate. Methods The partial least squares regression (PLSR) method was used to establish the quantitative correction model of NIRS and moisture, and the influence of pretreatment methods of Norris smoothing, first derivative, second derivative and S-G smoothing on the modeling results was compared. Results The first derivative pretreatment model has the best performance, in which the cross-validation error root mean square (RMSEC) was 0.155 and the correlation coefficient is 0.972 8. Conclusion The proposed method is fast and simple, and facilitating the determination of moisture content of central control products of Gulong Capsules.

国家中药标准化项目（ZYBZH-Y-SD-31）；山东省重点研发计划项目（2016GGH4514）；山东省科技重大专项（2015ZDZX07001）