應(yīng)用近紅外光譜技術(shù)對茯苓藥材進行定性定量檢測研究
發(fā)布時間:2019-08-28 來源: 歷史回眸 點擊:
[摘要]目的:利用傅里葉變換近紅外漫反射光譜結(jié)合化學(xué)計量學(xué)方法對茯苓不同部位進行定性判別建模,并建立茯苓多糖的定量檢測模型和茯苓多糖定量分析。方法:采用紫外分光光度法測定茯苓多糖含量,漫反射方式采集樣品近紅外光譜,采用一階導(dǎo)數(shù)+矢量歸一化法處理近紅外光譜圖,運用偏最小二乘法(PLS)建立光譜數(shù)據(jù)與多糖的定量校正模型,運用主成分分析(PCA)法建立茯苓定性模型,結(jié)果:偏最小二乘定量校正模型R為0.9440,RMSEC為0.0721,RMSEP為0.0762;定性分析模型對10個預(yù)測樣品的判錯數(shù)為0。結(jié)論:利用傅里葉變換近紅外漫反射光譜快速判別不同部位茯苓的方法是可行的,多糖含量PLS定量分析模型從預(yù)測精度、穩(wěn)定性及適應(yīng)性考慮均具一定的通用性,具有良好的市場應(yīng)用前景。
[關(guān)鍵詞]近紅外光譜;茯苓;多糖;定性與定量
Qualitative and quantitative detection of Poria cocos by
near infrared reflectance spectroscop
FU Xiao-huan1, 2 , HU Jun-hua <sup>1</sup> , LI Jia-chun <sup>1</sup> , DING Yin-hua <sup>1</sup>, WANG Zhen-zhong<sup>1</sup>, XIAO Wei 1*, ZHANG Zhen-qiu 2*
。1. Jiangsu Kanion Pharmaceutical CO., Ltd. Lianyungang 222001, China;
2. Liaoning University of Traditional Chinese Medicine, Dalian 116600, China)
[Abstract]Objective: The present study is concerning qualitative and quantitative detection of Poria cocos quality based on FT-near infrared (FT-NIR)spectroscopy combined with chemometrics. Method: The Poria cocos polysaccharides contents were determined by UV. Transmission mode was used in the collection of NIR spectral samples. The pretreatment method was first derivation and vector normalization. Then principal component analysis (PCA) was used to build classification model and partialleast square (PLS) to build the calibration model. Result: The results showed that conventional criteria such as the R, root mean square error of calibration (RMSEC), and the root mean square error of prediction (RMSEP) are 0.944 0, 0.072 1 and 0.076 2, respectively. the misclassifiedsample is 0 using the qualitative model built by PCA. Conclusion: The prediction models based on NIR have a better performance with high precision, good stability and adaptability and can be used to predict the polysaccharose content of Poria cocos rapidly, which can provide a fast approach to discriminate the different parts of Poria cocos.
[Key words]near infrared reflectance spectroscop; Poria cocos; polysaccharose; qualitative and quantitative
doi:10.4268/cjcmm20150222
茯苓為多孔菌科真菌Poriacocos(Schw.)Wolf的干燥菌核,我國人民用茯苓已有2000多年的歷史,早在春秋末期的《詩經(jīng)》中就有記載。茯苓入藥,始載于《神農(nóng)本草經(jīng)》,并被列為上品。具有利水滲濕、健脾安神等功效。現(xiàn)代藥理學(xué)研究表明,茯苓具有調(diào)節(jié)免疫功能、抗腫瘤、抗衰老、抗炎等藥理作用。茯苓是傳統(tǒng)的中藥材和營養(yǎng)保健益壽食品,在中醫(yī)臨床及人民生活中有著廣泛的使用價值,既可與諸多中藥配伍組方,又可大劑量單用,還可制成茯苓餅、茯苓糕、茯苓餅干等多種保健食品,獲得良好的社會效益和經(jīng)濟效益,茯苓的深度開發(fā)具有廣闊的市場前景,因此急需建立獨立、快速、綠色、科學(xué)的檢測方法,為開發(fā)茯苓藥材資源和打造茯苓道地藥材的品牌提供科學(xué)依據(jù)[1-3]。
近紅外光譜技術(shù)是近年來發(fā)展迅速的一種綠色分析技術(shù),是把化學(xué)計量學(xué)算法與近紅外光譜檢測技術(shù)融合到一起,根據(jù)不同物質(zhì)對近紅外光的吸收特性對物質(zhì)的結(jié)構(gòu)和組成進行定性、定量分析的一門技術(shù),其光波波長范圍為780~2500nm。該技術(shù)以實時、快速、無損、環(huán)保和可進行多組分分析的特點,在藥物的定性、定量分析中已經(jīng)得到了廣泛的重視和應(yīng)用[4-7]。物質(zhì)分子中C-H,N-H,O-H和C=O等基團基頻振動的合頻與倍頻吸收都在近紅外區(qū),茯苓的主要化學(xué)成分為茯苓聚糖、三萜、樹膠、蛋白質(zhì)、甾醇和脂肪酸等,茯苓中茯苓糖(Pachymose)為主要成分,質(zhì)量分數(shù)為84.2%[2]。茯苓糖的含量是茯苓的重要品質(zhì)指標,近紅外技術(shù)適用于含有這些基團的茯苓中總糖的測定。
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