药学与临床研究
藥學與臨床研究
약학여림상연구
PHARMACEUTICAL AND CLINICAL RESEARCH
2014年
4期
332-335
,共4页
仲怿%潘万芳%朱捷强%范骁辉%康立源%李正
仲懌%潘萬芳%硃捷彊%範驍輝%康立源%李正
중역%반만방%주첩강%범효휘%강립원%리정
五味子%提取过程%近红外光谱%定量模型
五味子%提取過程%近紅外光譜%定量模型
오미자%제취과정%근홍외광보%정량모형
Schisandrachinensis%Extraction process%Near-infrared spectroscopy%Quantitative model
目的:利用近红外(NIR)光谱法,建立定量模型,实现五味子提取过程中关键指标的快速检测。方法:在线采集五味子提取液的近红外光谱,以高效液相色谱法和差重法获取参照,采用最小二乘回归法(PLSR)分别建立五味子醇甲、果糖、葡萄糖和可溶性固形物的定量模型。结果:定量模型的校正集相关系数R、校正均方根误差RMSEC、预测均方根误差RMSEP分别为:五味子醇甲0.99792、1.41、8.76,果糖0.99246、0.0919、0.333,葡萄糖0.99371、0.0954、0.448,可溶性固形物0.98723、3.07、11.2。结论:该方法快速、便捷,结果准确,适用于五味子提取过程的快速检测。
目的:利用近紅外(NIR)光譜法,建立定量模型,實現五味子提取過程中關鍵指標的快速檢測。方法:在線採集五味子提取液的近紅外光譜,以高效液相色譜法和差重法穫取參照,採用最小二乘迴歸法(PLSR)分彆建立五味子醇甲、果糖、葡萄糖和可溶性固形物的定量模型。結果:定量模型的校正集相關繫數R、校正均方根誤差RMSEC、預測均方根誤差RMSEP分彆為:五味子醇甲0.99792、1.41、8.76,果糖0.99246、0.0919、0.333,葡萄糖0.99371、0.0954、0.448,可溶性固形物0.98723、3.07、11.2。結論:該方法快速、便捷,結果準確,適用于五味子提取過程的快速檢測。
목적:이용근홍외(NIR)광보법,건립정량모형,실현오미자제취과정중관건지표적쾌속검측。방법:재선채집오미자제취액적근홍외광보,이고효액상색보법화차중법획취삼조,채용최소이승회귀법(PLSR)분별건립오미자순갑、과당、포도당화가용성고형물적정량모형。결과:정량모형적교정집상관계수R、교정균방근오차RMSEC、예측균방근오차RMSEP분별위:오미자순갑0.99792、1.41、8.76,과당0.99246、0.0919、0.333,포도당0.99371、0.0954、0.448,가용성고형물0.98723、3.07、11.2。결론:해방법쾌속、편첩,결과준학,괄용우오미자제취과정적쾌속검측。
It is the objective of this study to establish quantitative models to detect quality indicators rapidly during theextraction process of Schisandrachinensis using using near-infrared (NIR) spectroscopy. NIR spectrum was collected on-line and PLSR models were developed for the contents of schisandrin , fructose, glucose and soluble solids, which were measured with HPLC and weight loss methods. For the cross validation of contents of schisandrin, fructose, glucose and soluble solids, the correlation coefficients were 0.99792, 0.99246, 0.99371 and 0.98723; RMSEC were 1.41, 0.0919, 0.0954 and 3.07; RMSEP were 8.76, 0.333, 0.448 and 11.2, respectively. In conclusion, NIR models were developed successfully to determine the quality indicators including the contents of schisandrin, fructose, glucose and soluble solids rapidly and accurately.