Determination of five pharmacologically active compounds extracted from Rhodiola for natural product drug discovery with HPLC-APCI-MS

A rapid and sensitive liquid chromatography-atmospheric pressure chemical ionization mass spectrometry (HPLC-APCI-MS) assay for the determination of five pharmacologically active compounds (PAC) extracted from the traditional Chinese medicine, Rhodiola , namely salidroside, tyrosol, rhodionin, gallic acid, and ethyl gallate has been developed. In this method, PAC could be baseline separated and detected with DAD at 275 nm. The validation of the method, including sensitivity, linearity, repeatability, and recovery, was examined. The linear calibration curves were acquired with correlation coefficient >0.999 and the limits of detection LOD (at a signal-to-noise ratio=3:1) were between 0.058 and 1.500 mu mol/L. It was found, that the amounts of PAC varied with different species of Rhodiola . The established method is rapid and reproducible for the separation of five natural pharmacologically active compounds from extracts of Rhodiola with satisfactory results.

Fuzzy层次神经网络

本文提出和归纳了Ｆｕｚｚｙ前馈神经网络模型，并提出了Ｆｕｚｚｙ前馈神经网络的反向传播学习算法，模拟结果表明利用ＦｕｚｚｙＢＰ学习算法训练的Ｆｕｚｚｙ前馈神经网络具有较好的非逻辑归纳能力和Ｆｕｚｚｙ规则表达能力。

巢湖沉积物δ^13C（org）和δ^15N记录的生态环境演化过程

通过对巢湖2处柱状沉积物样品中δ^13Corg、δ^15N、C/N比值、TOC和TN含量的测定,分析了近百年来巢湖沉积物有机质的来源,探讨受人类活动影响的湖泊生产力变化和富营养化过程.结果表明,巢湖沉积物有机质的主要来源是水生藻类,陆生有机质的输入量较少,但是城市污染物的输入与农业面源污染的影响是不可忽视的.巢湖沉积物剖面上,δ^13Corg、δ^15N、TOC和TN含量变化按沉积深度可以明显划分为2个阶段：①10 cm以下,H3点δ^13Corg波动在-21.74‰- -19.34‰的范围内,其余数据表现相对平缓,湖泊内的生物物种是固氮植物和非固氮植物共存,2个采样点具有不同的湖泊营养化进程;②10 cm至表层段,2个剖面的δ^13Corg迅速减小,δ^15N、TOC和TN则是显著增大,巢湖闸的建成使得内源营养物质快速积累,湖泊初始生产力水平迅速提高,富营养化加剧.