Comparative Study on Fluorescence Spectra of Chinese Medicine North and South Isatis Root Granules

Lan Liang,Qing He

doi:10.4172/2329-6836.1000201

Abstract

Since the spectral imaging technology emerged, it has gained a lot of application achievements in the military field, precision agriculture and biomedical science. When the fluorescence spectrum imaging first applied to the detection of the feature resource of Chinese herbal medicine, the characteristics of holistic and ambiguity made it a new approach to the traditional Chinese medicine testing. In this paper, we applied this method to study the Chinese medicine north and south isatis root granules by comparing their fluorescence spectra. Using cluster analysis, the results showed that the north and south Banlangen can not be divided by ascription. And these indicate that there is a large difference in the quality of Banlangen granules on the market, and fluorescence spectrum imaging method can be used in monitoring the quality of Radix isatidis granules.

Highlights

Spectral imaging technology emerged in the early 1980s and is a new remote sensing technique which fuses the spectral analysis and the image detection [1,2]
0.1 wavelength/nm wavelength changes, and its spectrum feature was completely different from standard substances. These results indicated that the differences of the curves after normalization can reflect the quality of Radix isatidis granules better, so we can combine fluorescence spectrum curve with normalized characteristic spectrum curve to establish the quality evaluation methods of Radix isatidis, guiding the production of Radix isatidis granules and further promoting to the quality management of other Chinese patent drug
We detected some Radix isatidis granules on market using spectral imaging technology, and the results show that there is larger difference in quality among samples

Summary

Introduction

Spectral imaging technology emerged in the early 1980s and is a new remote sensing technique which fuses the spectral analysis and the image detection [1,2]. It obtains the spectral image sequences through dividing into light on the continuous spectra of the sample and forming the corresponding image, and gets the spectral curve in the detection band of the sample after processing the spectral image sequences. A sample image at one specific wavelength which is interested in can be extracted from the image sequences It can obtain the image information and spectral properties of sample simultaneously. Our team applied the technology to the detection of Chinese herbal medicines, and carried out verification, quality classification and genetic relationship identification for some Chinese herbal medicines [8,9,10]

Methods

Results

Conclusion