Detection of Marker Compounds of Gentiana scabra Using Hyper-Spectral Imaging

• Main Authors: Yu-Fan Cheng, 鄭宇帆
• Other Authors: Suming Chen
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/61970629059597392151

碩士 === 國立臺灣大學 === 生物產業機電工程學研究所 === 97 === Using spectral imaging technology to monitor the physiological status of plants has become feasible in recent years. In this study, we used hyper-spectral imaging technology to measure and analyze the reflectance spectra of Gentiana scabra growing in vitro and in greenhouse. The effects of light environments and growth period on the contents of marker compounds of Gentiana scabra including gentiopicroside and swertiamarin were investigated, and the calibration NIR models of these marker compounds were developed. . Response surface method (RSM) designed LED light environments were adopted. The results indicated that both marker compounds contents and reflectance spectra were significantly influenced by the designed LED light environments using the variance analysis (the analysis of variance, ANOVA). On-Line NIRS 6500 and modified partial least square regression (MPLSR) were used to measure and analyze the spectra of both seedlings and plants of Gentiana scabra. Regarding the seedlings, MPLSR results showed that RC = 0.935, RMSEC = 0.33% and RSEC = 5.85% of calibration set, and RP = 0.826, RMSEP = 0.439% and RSEP = 7.75% of calibration set for gentiopicroside while RC = 0.935, RMSEC = 0.06%, RMSEP = 0.114% for swertiamarin. Regarding the plants, the best calibration model for gentiopicroside, marker compounds in Gentiana scabra showed RC = 0.895, RMSEC = 0.422% while RC = 0.946, RMSEC = 0.036% for swertiamarin. A hyper-spectral imaging system with the wavelength range of 400 – 1100 nm was developed in this study. It provided objective, nondestructive and fast spectral imaging measurements of Gentiana scabra samples. Using hyper-spectral imaging system for seedlings, it gave the results that RC was approximately 0.8, and RMSEC and RMSEP less than 0.6% for gentiopicroside; while RC, RMSEC, RMSEP were 0.683, 0.120%, and 0.126% respectively for swertiamarin. Using hyper-spectral imaging system for plants, RC, RMSEC, RMSEP were 0.9, 0.439%, and 0.452% respectively for gentiopicroside while RC, RMSEC, and RMSEP were 0.9, 0.04%, and 0.041% respectively for swertiamarin. As for the pooled samples of seedlings and plants, the results of MPLSR yielded RC, RMSEC, RMSEP were 0.943, 0.570%, 0.699% respectively for gentiopicroside. However, the swertiamarin content in seedlings and plants were differ extremely, it seemed difficult to obtain a good calibration spectra model. As a conclusion, a hyper-spectral imaging system was developed and was applied to the measure the contents of marker compounds in Gentiana scabra. Calibration models using MPLSR were successfully established for gentiopicroside and swertiamarin for both seedlings and plants; and it provided instant and nondestructive measurements of gentiopicroside and swertiamarin during the growth of Gentiana scabra.