基于DNA条形码和红外光谱（FTIR）技术构建中药材青蒿快速鉴定体系

针对中药材青蒿（Artemisia annua L.）存在严重的混伪、青蒿素含量差异大、质量难于保证的状况，采用多片段DNA条形码鉴定策略，通过对多基因位点组合（包括核基因的ITS和叶绿体基因的rbcL、matK以及trnH-psbA 等DNA序列）进行测定和分析，结合形态学证据，筛选出药材青蒿通用的DNA条形码序列。同时，采用FTIR技术和HPLC两种方法测定不同来源药材青蒿的主要化学成分的含量。以高效液相色谱方法测定的青蒿素含量为因变量，运用多元回归方程，在红外光谱图中找到与青蒿素含量的特征吸收峰，结合曲线拟合方程和傅里叶去自卷积计算出其特征吸收子峰的峰面积差异，同时利用SIMCA方法建立道地产出青蒿药材化学识别数学模型。构建中药材青蒿快速鉴定体系。为青蒿药材的鉴定和资源利用等提供可靠标准和技术平台。

There are several critical problems existing not conducive to use Artemisia annua L. as a Chinese medicinal material, such as serious confusion and counterfeit, large differences of artemisinin content, poor quality now. Aiming to resolving these problems, we applied multi-fragment DNA barcoding identification strategy. Through the measurement and analysis of multi-loci combination, including nuclear gene ITS and chloroplast DNA regions rbcL, matK and trnH-psbA, combined with morphological evidence, universal DNA barcodes for A. annua were screened. At the same time, two methods, FTIR and HPLC, were adopted to determine the content of main chemical components in A. annua from different sources. Taking the artemisinin content determined by high performance liquid chromatographic method as dependent variable, using multiple regression equation, finding characteristic adsorption peak in infrared spectrogram, combined with curve fitting equation and Fourier self-deconvolution (FSD), characteristic adsorption peak area difference was calculated. And chemical recognition mathematical model for authentic output of A. annua was also established using SIMCA method. We will establish rapid identification and quality system of A.annua. This research will provide dependable standards and technology platforms for the identification and utilization of medical herbs A. annua.