基于近红外光谱技术的红参多指标成分快速分析

Rapid Analysis of Multi-components of Ginseng Radix et Rhizoma Rubra Based on Near Infrared Spectroscopy

关键词:  红参  近红外光谱  快速质量评价  掺糖分析

Key words:  Ginseng Radix et Rhizoma Rubra  near infrared spectroscopy (NIR)  rapid quality evaluation  analysis of doping carbohydrates

摘要:

目的 利用近红外光谱（near infrared spectroscopy，NIR）技术对红参药材中的水分、人参皂苷和糖类成分进行快速分析，实现红参药材质量的快速评价。方法 用62批红参样品作为校正集，分别建立水分、人参皂苷和糖类成分的定量模型，对模型进行系统的优化，并用另外38批样品作为验证集对建立的模型进行验证和评价。结果 所建的模型对红参水分含量、人参皂苷Rg₁和Re总含量、人参皂苷Rb₁含量及麦芽糖和蔗糖总含量均有较好的预测能力，预测相对偏差均<15%，所建NIR快速检测方法的精密度和重复性结果均较好。结论 该方法可以对红参药材的关键质控指标进行快速检测，结果可靠，是对传统分析方法的有效补充，可以有效地指导后道工序的生产，从而避免因药材质量不合格而造成不必要的浪费。

Abstract:

OBJECTIVE To establish a set of quantitative calibration models for rapid analysis of water, ginsenosides and carbohydrates in Ginseng Radix et Rhizoma Rubra (RGR) with near infrared spectroscopy (NIR), which is useful for the rapid evaluation of RGR quality. METHODS The quantitative calibration models of multi-components, including water, ginsenosides and carbohydrates, were developed using 62 batches of RGR with optimized spectral wavelength and pre-processing, as well as multivariate regression method; another 38 batches of samples were used for model validation and evaluation. RESULTS The quantitative models of water, total content of ginsenosides Rg₁ and Re, content of ginsenosides Rb₁ and total content of sucrose and maltose had good ability to predict, all relative deviations of predict results were <15%; the precision and reproducibility of the NIR rapid analysis method was also good. CONCLUSION It is a promising method for rapid analysis the key quality control indicators of RGR, the results are reliable, indicating it is an effective complement to traditional analytical methods; according to the prediction data, it can also effectively guide the subsequent process of production, avoiding the unnecessary waste caused by unqualified herbal medicines.