中国药师
中國藥師
중국약사
CHINA PHARMACIST
2014年
4期
619-622
,共4页
黄必胜%袁明洋%余驰%刘义梅%陈科力
黃必勝%袁明洋%餘馳%劉義梅%陳科力
황필성%원명양%여치%류의매%진과력
龙齿%近红外光谱%相关系数法%鉴别
龍齒%近紅外光譜%相關繫數法%鑒彆
용치%근홍외광보%상관계수법%감별
Dens Draconis%Near infrared spectroscopy%Correlation coefficient method%Identification
目的:利用近红外特征谱段相关系数法建立定性模型对真伪龙齿进行快速鉴别。方法:在传统性状鉴别的基础上,使用近红外光谱仪的光纤附件采集光谱,以正品龙齿的近红外光谱为参照光谱,选择特征谱段,设定合适阈值,建立真伪龙齿定性鉴别模型,通过模型快速判断待测龙齿样品的真伪。结果:选定5000~4200 cm-1谱段为特征谱段,计算训练集样品中真伪龙齿的相关系数,设定阈值为92.67%,用10批验证集样品对模型进行验证,预测正确率为90%。结论:利用近红外特征谱段相关系数法建立的定性鉴别模型具有较好的预测能力,可以做为快速鉴别真伪龙齿的方法。
目的:利用近紅外特徵譜段相關繫數法建立定性模型對真偽龍齒進行快速鑒彆。方法:在傳統性狀鑒彆的基礎上,使用近紅外光譜儀的光纖附件採集光譜,以正品龍齒的近紅外光譜為參照光譜,選擇特徵譜段,設定閤適閾值,建立真偽龍齒定性鑒彆模型,通過模型快速判斷待測龍齒樣品的真偽。結果:選定5000~4200 cm-1譜段為特徵譜段,計算訓練集樣品中真偽龍齒的相關繫數,設定閾值為92.67%,用10批驗證集樣品對模型進行驗證,預測正確率為90%。結論:利用近紅外特徵譜段相關繫數法建立的定性鑒彆模型具有較好的預測能力,可以做為快速鑒彆真偽龍齒的方法。
목적:이용근홍외특정보단상관계수법건립정성모형대진위용치진행쾌속감별。방법:재전통성상감별적기출상,사용근홍외광보의적광섬부건채집광보,이정품용치적근홍외광보위삼조광보,선택특정보단,설정합괄역치,건립진위용치정성감별모형,통과모형쾌속판단대측용치양품적진위。결과:선정5000~4200 cm-1보단위특정보단,계산훈련집양품중진위용치적상관계수,설정역치위92.67%,용10비험증집양품대모형진행험증,예측정학솔위90%。결론:이용근홍외특정보단상관계수법건립적정성감별모형구유교호적예측능력,가이주위쾌속감별진위용치적방법。
Objective:To develop a qualitative analysis model for the fast identification of Dens Draconis and its adulterants by NIR correlation coefficient method. Methods:On the basis of the traditional morphological identification, the spectra were collected u-sing the fiber accessory of a near-infrared spectroradiometer. The reference spectra were set up using the NIR spectra of certified Dens Draconis. The characteristic spectral section was chosen and the appropriate threshold was set to establish a qualitative analysis model for the rapid identification of Dens Draconis and its adulterant. Results:The spectral section of 5 000-4 200 cm-1 was selected as the characteristic spectral section, the correlation coefficient of Dens Draconis and its adulterant was calculated in training set samples, and 92. 67% was used as the threshold. Totally 10 batches of validation set samples were validated the qualitative analysis model, and the prediction accuracy was 90%. Conclusion:The method has good prediction ability, and can be used in the rapid identification of Dens Draconis and its adulterant.