CAJ | 학술논문

目的：建立7种含硫酸盐的矿物类中药的近红外光谱鉴别方法。方法：通过对7种含硫酸盐的矿物类中药粉碎过筛后，测量各样品在12000-4000 cm-1区段范围内的近红外光谱，图谱信号经过不同的预处理方法，筛选不同的特征谱段后提取有效信息，采用聚类分析方法进行定性鉴别。结果：在8600-8100 cm-1、5843-4245 cm-1、7096-6337 cm-1谱段范围内，图谱信号经过矢量归一化和多元散射校正后，K-均值聚类分析法将20批次硫酸盐类矿物药分为7类，分析结果与传统性状方法鉴定结果基本一致。结论：该方法简便、快速，可用于这7种含硫酸盐的矿物类中药的定性鉴别与质量控制。
목적：건립7충함류산염적광물류중약적근홍외광보감별방법。방법：통과대7충함류산염적광물류중약분쇄과사후，측량각양품재12000-4000 cm-1구단범위내적근홍외광보，도보신호경과불동적예처리방법，사선불동적특정보단후제취유효신식，채용취류분석방법진행정성감별。결과：재8600-8100 cm-1、5843-4245 cm-1、7096-6337 cm-1보단범위내，도보신호경과시량귀일화화다원산사교정후，K-균치취류분석법장20비차류산염류광물약분위7류，분석결과여전통성상방법감정결과기본일치。결론：해방법간편、쾌속，가용우저7충함류산염적광물류중약적정성감별여질량공제。
To establish seven kinds of minerals containing sulfate kind of near infrared spectral identification method <br> of traditional Chinese medicine (TCM). 7 species of mineral medicine containing sulfate after crushing sieving, measure all the samples in 12 000-4 000 cm-1 section within the scope of the near infrared spectrum, spectrum signal by different pretreatment methods, after the screening of the different characteristics of the spectrum to extract the effective information, using cluster analysis method for qualitative identification. In 8 600-8 100 cm-1, 5 843-4 245 cm-1, 7 096-6 337 cm -1 section within the scope of the atlas signal after the vector normalization and multiple scattering correction, K-average clustering analysis to 20 batches sulfate kind of mineral medicine is divided into seven categories, the results of the analysis method and the traditional traits identification results are basically identical. This method is simple, fast, and can be used for these minerals containing sulfate class the qualitative identification and quality control of Chinese traditional medicine.