本研究係利用近紅外線光譜技術在500nm~1000nm波長範圍內偵測蓮霧之糖度,針對屏東枋寮地區蓮霧作非破壞性檢測,並製作其檢量線。 本研究應用多重線性迴歸(MLR)模式分析求得糖度與二次微分光譜之間的相關性。從實驗可以得知,總校正組建立之校正方程式在選取五個波長組合(952nm、642nm、884nm、906nm、858nm)時,結果顯示R^2(下標 c)=0.931,SEC=0.388;對於預測第一批蓮霧所得結果R^2(下標 p)=0.937,SEP=0.262,Bias=0.309,RPD值為4.454;預測第二批蓮霧所得結果R^2(下標 p)=0.964,SEP=0.207,Bias=0.251, RPD值5.551;而總預測樣本組所得結果R^2(下標 p)=0.915,SEP=0.322,Bias=0.287,RPD值亦有3.649之預測水準。 由此可知,不同栽培環境下的用物會呈現不同的內部組織特性,為了避免在往後的糖度檢測有所差異,必須先授權集當地蓮霧之部份樣本來建立其檢量線。依此類推,在往後的檢量線建立上,便可利用不同地區的蓮霧樣本來擴增整個量測範圍,得以建立各種不同蓮霧特性之龐大資料庫。
In this study, the near infrared spectroscopy (NIRS) was used to determinate the sugar content of wax apple fruits in the wavelength range from 500nm to 1000nm. The wax apples in Pingtung Fungliao area were chosen as the fruits to be detected. By using non-destructive measurement technique, the total calibration curves were established. By applying multiple linear regression (MLR) analysis, the correlation of sugar content and second derivative spectra could be obtained. From the results of experiment, it showed that the total calibration equation which consisted of 5 wavelengths (i.e. 952nm, 642nm, 884nm, 906nm and 858nm) had the calibration group with R^2(subscript c)=0.931, SEC=0.388, and the first prediction set with R^2(subscript p)=0.937, SEP=0.262, Bias=0.309 and RPD=4.454. For the second prediction set, the statistic data were R^2(subscript c)=0.964, SEP=0.207, Bias=0.251, RPD=5.551. Finally, the total prediction set had the results as R^2(subscript p)=0.918, SEP=0.322, Bias=0.287, RPD=3.649. Obviously, the internal qualities of fruits would be different with different cultivating environment and sections. In order to reduce predicting error, it should be collect more samples to modify the calibration curve. To expand the measuring range, in the future, it has to establish a number of databases form different sections.