Development of an Indirect Competitive ELISA Based on Polyclonal Antibody for the Detection of Diethylstilbestrol in Water Samples

An indirect competitive enzyme-linked immunosorbent assay （icELISA） based on polyclonal antibody for the estrogen diethylstilbestrol （DES） was developed. With this aim, two different haptens mono-O-3-carboxypropyldiethylstilbestrol （DES-CP） and mono-O-carboxymethyldiethylstilbestrol （DES-CM） with carboxylic group that preserve the molecular structure character of diethylstilbestrol were synthesized. The haptens were conjugated with the carder proteins bovine serum albumin （BSA） by mixed-anhydride method for immunogen and conjugated with ovalbumin （OVA） by active ester method for coating antigen. Polyclonal antibodies for diethylstilbestrol were raised by immunizing mice with immune antigen DES-CP-BSA. Under optimized system, the lowest limit of detection （LLD） of diethylstilbestrol was 0.01 ng/mL, and IC50= 1.02 ng/mL. Its analogs were tested and no obvious cross-reactivity was found to anti-diethylstilbestrol antibody. DES-fortified water samples were determined by simple dilution to diminish the matrix effect. The comparison between the amount of DES estimated by ELISA and the amount added indicates good agreement for all water samples tested, with mean recovery values ranging from 86% to 120.2%.     

基于道路信息的智能地图匹配算法

针对军用车辆长时间、长距离高精度自主导航需求,提出了一种基于道路信息的智能地图匹配算法。传统地图匹配算法在单独使用时,都会存在一些不足之处。智能地图匹配算法比较不同算法的优缺点,选择三种特点鲜明、互补性强的地图匹配算法作为基础算法,以惯性导航系统提供的导航信息为基础,对车辆正在行驶的道路进行识别和判断,根据道路构成情况自动选择合适的算法,完成地图匹配;并结合车辆行驶的航向和速度信息选择椭圆形道路搜索区域。试验车进行5 h约240 km跑车试验,地图匹配定位精度约为10.33 m(CEP)。试验结果证明该算法能够适应不同的道路状况,有效抑制惯性导航误差发散。