中药提取物因生产工艺、储存条件的要求，需在生产过程中添加一定量的麦芽糊精。目前国内外还没有标准方法测定中药提取物中麦芽糊精的含量。本研究旨在建立一种快速检测葛根提取物混合粉末中辅料麦芽糊精含量的中红外快速测定方法，为企业有效把握提取物质量提供技术支持。以不同麦芽糊精含量的葛根提取物混合粉末样品88份为实验材料，采集已知麦芽糊精含量样品的中红外光谱，对谱图进行基线校正和归一化预处理，通过偏最小二乘回归方法建立定量模型。结果表明：所建定量模型预测效果良好，预测模型稳定性强、预测精度高，预测模型的决定系数R2为0.9819，预测标准差为3.205。采用中红外光谱检测技术可以快速定量葛根提取物中麦芽糊精的含量，有效地监督提取物市场以次充好的混乱现象，为市场监督部门提供技术支持。

Due to the requirements of the production process and storage of Chinese herbal extracts, a certain amount of maltodextrin is added. At present, there is no standard method for determining the content of maltodextrin in Chinese herbal extracts in China and overseas. This study aimed to establish a method for rapid determination of the maltodextrin content in the mixed Pueraria extract powder. Using 88 samples of Pueraria lobata extract powders containing different contents of maltodextrin as the experimental materials, and the mid-infrared spectra of samples with known maltodextrin contents were collected. Baseline correction and normalization pretreatment were performed on the infrared spectra, and the quantitative model was established based on the partial least squares regression method. The results showed that the quantitative model had good prediction effect, and the prediction model had strong stability and high prediction precision with the decision coefficient (R2) as 0.9819 and standard deviation as 3.205. The mid-infrared spectroscopy technique can quickly quantify the content of maltodextrin in Pueraria lobata extract, and effectively monitor the extract market to avoid substituting shoddy products for quality products, thereby providing technical support to the market supervision department.