市售红参饮片质量分析

目的： 调查市售红参饮片质量，制定红参饮片的质量标准。 方法： 收集不同地区市售红参饮片样品，采用性状观察，显微、薄层色谱定性鉴别，高效液相色谱进行含量测定。采用Lichrospher C18 （4.6 mm×150 mm，5 μm）色谱柱，乙腈-水进行梯度洗脱，检测波长203 nm，流速1 mL·min-1，柱温30 ℃。 结果： 市售红参饮片外观性状有差异，显微特征明显，薄层色谱在与人参对照药材、人参皂苷Rf、人参皂苷Rg1、人参皂苷Re及人参皂苷Rb1相应的位置上显相同颜色的斑点。13批样品中人参皂苷Rg1＋Re的含量范围为0.097 0%-0.301%，Rb1的含量范围为0.140%-0.310%。 结论： 不同地区市售红参饮片性状、显微特征及样品中3种成分的含量均具有显著的差异。

Estimating Leaf Chlorophyll Content Using Red Edge Parameters

Hyperspectral remote sensing makes it possible to non-destructively monitor leaf chlorophyll content （LCC）. This study characterized the geometric patterns of the first derivative reflectance spectra in the red edge region of rapeseed （Brassica napus L.） and wheat （Triticum aestivum L.） crops. The ratio of the red edge area less than 718 nm to the entire red edge area was negatively correlated with LCC. This finding allowed the construction of a new red edge param- eter, defined as red edge symmetry （RES）. Compared to the commonly used red edge parameters （red edge position, red edge amplitude, and red edge area）, RES was a better predictor of LCC. Furthermore, RES was easily calculated using the reflectance of red edge boundary wavebands at 675 and 755 nm （R675 and R755） and reflectance of red edge center wavelength at 718 nm （R718）, with the equation RES = （R71s - R675）/（R755 - R675）. In addition, RES was simulated effectively with wide wavebands from the airborne hyperspectral sensor AVIRIS and satellite hyperspectral sensor Hyperion. The close relationships between the simulated RES and LCC indicated a high feasibility of estimating LCC with simulated RES from AVIRIS and Hyperion data. This made RES readily applicable to common airborne and satellite hyperspectral data derived from AVIRIS and Hyperion sources, as well as ground-based spectral reflectance data.