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Near-Infrared Spectroscopy as an Analytical Process Technology for the On-Line Quantification of Water Precipitation Processes during Danhong Injection

机译:近红外光谱作为丹红注射液中水沉淀过程在线定量的分析工艺技术

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摘要

This paper used near-infrared (NIR) spectroscopy for the on-line quantitative monitoring of water precipitation during Danhong injection. For these NIR measurements, two fiber optic probes designed to transmit NIR radiation through a 2 mm flow cell were used to collect spectra in real-time. Partial least squares regression (PLSR) was developed as the preferred chemometrics quantitative analysis of the critical intermediate qualities: the danshensu (DSS, (R)-3, 4-dihydroxyphenyllactic acid), protocatechuic aldehyde (PA), rosmarinic acid (RA), and salvianolic acid B (SAB) concentrations. Optimized PLSR models were successfully built and used for on-line detecting of the concentrations of DSS, PA, RA, and SAB of water precipitation during Danhong injection. Besides, the information of DSS, PA, RA, and SAB concentrations would be instantly fed back to site technical personnel for control and adjustment timely. The verification experiments determined that the predicted values agreed with the actual homologic value.
机译:本文使用近红外(NIR)光谱技术对丹红注射液中的降水进行在线定量监测。对于这些NIR测量,使用了两个设计为通过2毫米毫米流动池传输NIR辐射的光纤探头来实时收集光谱。偏最小二乘回归(PLSR)被开发为关键中间质量的首选化学计量学定量分析:丹参素(DSS,(R)-3,4-二羟基苯基乳酸),原儿茶醛(PA),迷迭香酸(RA),和丹酚酸B(SAB)浓度。成功建立了优化的PLSR模型,并用于在线检测丹红注射液中水沉淀的DSS,PA,RA和SAB浓度。此外,DSS,PA,RA和SAB浓度的信息将立即反馈给现场技术人员,以便及时进行控制和调整。验证实验确定预测值与实际同源值一致。

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