光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2013年
11期
3028-3031
,共4页
卜海博%王峰%林宏英%郭志勇%袁少雄%潘丽丽%许晓嘉%李向日%王钢力%林瑞超
蔔海博%王峰%林宏英%郭誌勇%袁少雄%潘麗麗%許曉嘉%李嚮日%王鋼力%林瑞超
복해박%왕봉%림굉영%곽지용%원소웅%반려려%허효가%리향일%왕강력%림서초
林下山参%园参%显微红外光谱技术%无损识别%判别分析
林下山參%園參%顯微紅外光譜技術%無損識彆%判彆分析
림하산삼%완삼%현미홍외광보기술%무손식별%판별분석
Mountain cultivated ginseng%Garden cultivated ginseng%Infrared microspectroscopy%Nondestructive recognition%Discriminant analysis
显微红外光谱分析技术是将红外光谱仪和显微镜结合发展而来的分析技术。该技术样品处理简单,可用于微区分析和微量分析,并且能反映样品的本质特征。人参包括林下山参、园参和野山参,而我国禁止采挖野山参。因此,药典只收录了林下山参和园参。该工作使用显微红外光谱技术,结合判别分析建立了对林下山参和园参的无损识别模型。收集了20个林下山参和24个园参后,采集了其显微红外光谱。其中,33个样品被随机划分为校正集,11个为验证集。建立模型时,优化了预处理方法、主成分数、建模波段和扫描部位。最后,使用多元散射校正+Savitzky-Golay平滑的预处理方法、3932.14~669.18 cm -1的波段、4个主成分数和芦头部位建立了最优的判别分析模型,准确率达到100%。结果表明,结合判别分析的显微红外光谱技术,样品处理简单、快速、无损、有效,可用于林下山参和园参的无损识别。
顯微紅外光譜分析技術是將紅外光譜儀和顯微鏡結閤髮展而來的分析技術。該技術樣品處理簡單,可用于微區分析和微量分析,併且能反映樣品的本質特徵。人參包括林下山參、園參和野山參,而我國禁止採挖野山參。因此,藥典隻收錄瞭林下山參和園參。該工作使用顯微紅外光譜技術,結閤判彆分析建立瞭對林下山參和園參的無損識彆模型。收集瞭20箇林下山參和24箇園參後,採集瞭其顯微紅外光譜。其中,33箇樣品被隨機劃分為校正集,11箇為驗證集。建立模型時,優化瞭預處理方法、主成分數、建模波段和掃描部位。最後,使用多元散射校正+Savitzky-Golay平滑的預處理方法、3932.14~669.18 cm -1的波段、4箇主成分數和蘆頭部位建立瞭最優的判彆分析模型,準確率達到100%。結果錶明,結閤判彆分析的顯微紅外光譜技術,樣品處理簡單、快速、無損、有效,可用于林下山參和園參的無損識彆。
현미홍외광보분석기술시장홍외광보의화현미경결합발전이래적분석기술。해기술양품처리간단,가용우미구분석화미량분석,병차능반영양품적본질특정。인삼포괄림하산삼、완삼화야산삼,이아국금지채알야산삼。인차,약전지수록료림하산삼화완삼。해공작사용현미홍외광보기술,결합판별분석건립료대림하산삼화완삼적무손식별모형。수집료20개림하산삼화24개완삼후,채집료기현미홍외광보。기중,33개양품피수궤화분위교정집,11개위험증집。건립모형시,우화료예처리방법、주성분수、건모파단화소묘부위。최후,사용다원산사교정+Savitzky-Golay평활적예처리방법、3932.14~669.18 cm -1적파단、4개주성분수화호두부위건립료최우적판별분석모형,준학솔체도100%。결과표명,결합판별분석적현미홍외광보기술,양품처리간단、쾌속、무손、유효,가용우림하산삼화완삼적무손식별。
Fourier transform infrared (FTIR) microspectroscopy technology is the combination of the FTIR spectrometer and the microscope .This technology is of simple preparation of the samples ,can be used in micro-area analysis and micro-samples ,and reflect the nature of the samples spectra .Panax ginseng include mountain cultivated ginseng (MCG) ,garden cultivated ginseng (GCG) and mountain wild ginseng (MWG) ,but the excavation of MWG is prohibited in China .So ,only MCG and GCG were collected and recorded in Chinese pharmacopoeia .In this study ,we developed a discriminant analysis (DA) method for recogni-tion of MCG and GCG using FTIR microspectroscopy technology .Twenty MCG samples and twenty four GCG samples were ob-tained ,and their spectra of IR microspectroscopy were collected .Then 33 samples were randomly selected into calibration set and the remaining 11 of the samples were selected into validation set .The authors optimized the pretreatment method ,the prin-cipal components ,the modeling region and the scanning parts when developing the models .The optimized model of discriminant analysis was developed using the pretreatment multiplicative scatter correction (MSC)+Savitzky-Golay filter (SG) smoothing , the region 3 932.14~669.18 cm-1 ,4 principal components and the rhizome part .The accuracy of the optimized model got up to 100% .The result demonstrated that infrared microspectroscopy technology combined with DA is of simple operation ,rapid , nondestructive and effective ,and can be applied to recognize MCG and GCG .