目的 通過考察近紅外光譜法對(duì)腰痛寧膠囊粉末中士的寧、馬錢子堿和麻黃堿的檢測(cè)，探索一種腰痛寧膠囊生產(chǎn)過程中的快速檢測(cè)方法。方法 采集不同批號(hào)腰痛寧膠囊藥粉進(jìn)行近紅外光譜檢測(cè)，以偏最小二乘法建立校正模型，通過該模型與測(cè)得的近紅外光譜對(duì)腰痛寧膠囊中主要成分進(jìn)行檢測(cè)。結(jié)果 經(jīng)過預(yù)處理后的近紅外光譜數(shù)據(jù)與樣品中的士的寧、馬錢子堿、麻黃堿數(shù)據(jù)呈現(xiàn)明顯的線性關(guān)系，各指標(biāo)的相關(guān)系數(shù)分別為0.924、0.944、0.874。預(yù)測(cè)均方差（RMSEP）分別為0.03、0.06、0.02。結(jié)論 近紅外光譜法能快速檢測(cè)腰痛寧膠囊粉末中士的寧、馬錢子堿，可以指導(dǎo)生產(chǎn)過程中的質(zhì)量控制。

Objective Through detecting the three components, strychnine, brucine, and ephedrine in Yaotongning Capsule by using near-infrared (NIR) spectroscopy to establish a rapid detection method in production process of Yaotongning Capsule. Methods Powder form the different batches of Yaotongning Capsule was collected and examined by NIR spectroscopy. The main components in Yaotongning Capsule were detected through the correct model via a partial least squares (PLS) established and NIR spectroscopy. Results There was a good linear relationship between NIR data and the contents of strychnine, brucine, and ephedrine in the samples. The correlation coefficients were 0.924, 0.944, and 0.874, and root-mean-square error of prediction (RMSEP) were 0.03, 0.06, and 0.02, respectively. Conclusion This method could be used to effectively determine strychnine, brucine, and ephedrine in Yaotongning Capsule, and thus guide the quality control in productive process