CAJ | 학술논문

使用近红外光谱技术直接扫描甜叶菊干叶片，建立了甜菊苷（stevioside ，ST ）和莱鲍迪苷 A （rebau-dioside A ，RA）的检测模型。对甜菊苷含量在0.27％～1.40％，莱鲍迪苷 A含量在0.61％～3.98％范围内的不同品种的甜叶菊干叶片进行了近红外光谱扫描，共扫描了105份。采用偏最小二乘法建立甜菊糖苷的检测模型，比较了减去一条直线、多元散射校正、一阶导数和二阶导数等不同的光谱预处理方法对模型的影响。结果显示减去一条直线的数据预处理方法为S T的最优建模方法。S T校正集相关系数为0.986，校正均方根误差为0.341，预测均方根误差为1.00，相对分析误差为2.8；RA采用无光谱预处理建模，RA的建模结果相关系数为0.967，校正均方根误差为1.50，预测均方根误差为1.98，相对分析误差为4.17。说明近红外光谱技术检测甜叶菊干叶片中ST和RA的含量具有一定的可行性。同时与甜叶菊粉末ST 模型结果相关系数为0.986，校正均方根误差为0.32，预测均方根误差为0.601，相对分析误差为2.86和RA模型结果相关系数为0.968，校正均方根误差为1.50，预测均方根误差为1.48，相对分析误差为4.2相比差异不明显。但减少了叶片粉末检测过程中的烘干、研磨的步骤，节省了时间，降低了工作量。
사용근홍외광보기술직접소묘첨협국간협편，건립료첨국감（stevioside ，ST ）화래포적감 A （rebau-dioside A ，RA）적검측모형。대첨국감함량재0.27％～1.40％，래포적감 A함량재0.61％～3.98％범위내적불동품충적첨협국간협편진행료근홍외광보소묘，공소묘료105빈。채용편최소이승법건립첨국당감적검측모형，비교료감거일조직선、다원산사교정、일계도수화이계도수등불동적광보예처리방법대모형적영향。결과현시감거일조직선적수거예처리방법위S T적최우건모방법。S T교정집상관계수위0.986，교정균방근오차위0.341，예측균방근오차위1.00，상대분석오차위2.8；RA채용무광보예처리건모，RA적건모결과상관계수위0.967，교정균방근오차위1.50，예측균방근오차위1.98，상대분석오차위4.17。설명근홍외광보기술검측첨협국간협편중ST화RA적함량구유일정적가행성。동시여첨협국분말ST 모형결과상관계수위0.986，교정균방근오차위0.32，예측균방근오차위0.601，상대분석오차위2.86화RA모형결과상관계수위0.968，교정균방근오차위1.50，예측균방근오차위1.48，상대분석오차위4.2상비차이불명현。단감소료협편분말검측과정중적홍간、연마적보취，절성료시간，강저료공작량。
The objective of the present study is to develop a method for rapid determination of the content of stevioside (ST) and rebaudioside A (RA) in Stevia Rebaudiana leaves .One hundred and five samples of stevia from different areas containing ST of 0.27% ~1.40% and RA of 0.61% ~3.98% were used .The 105 groups’ NIRS diagram was processed by different methods in-cluding subtracting a straight line (SLS) ,multiplicative scatter correction (MSC) ,first derivative (FD) ,second derivative (SD) and so on ,and then all data were analyzed by partial least square (PLS) .The study showed that SLS can be used to extracted spectra information thoroughly to analyze the contents of ST ,the correlation coefficients of calibration (Rc ) ,the root-mean-square errors of calibration (RMSEC) and prediction (RMSEP) ,and the residual predictive deviation (RPD) were 0.986 , 0.341 ,1.00 and 2.8 ,respectively .The correlation coefficients of RA was 0.967 ,RMSEC was 1.50 ,RMSEP was 1.98 and RPD was 4.17 .The results indicated that near infrared spectroscopy (NIRS) technique offers effective quantitative capability for ST and RA in Stevia Rebaudiana leaves .Then the model of stevia dried leaves was used to compare with the stevia powder near infrared model whose correlation coefficients of ST was 0.986 ,RMSEC was 0.32 ,RMSEP was 0.601 and RPD was 2.86 and the correlation coefficients of RA was 0.968 ,RMSEC was 1.50 ,RMSEP was 1.48 and RPD was 4.2 .The result showed that there was no significant difference between the model of dried leaves and that of the powders .However ,the dried leaves NIR model reduces the unnecessary the steps of drying and grinding in the actual detection process ,saving the time and reducing the workload .