提高表面抗体活性是免疫检测探针制备的关键。硼酸可与IgG的糖基化Fc片段快速发生位点特异性结合,充分暴露抗原结合区Fab片段以提高抗体活性,避免常用的酰胺键共价偶联方法引起的抗体取向不当及自交联。本研究在合成硼酸修饰的聚马来酸...提高表面抗体活性是免疫检测探针制备的关键。硼酸可与IgG的糖基化Fc片段快速发生位点特异性结合,充分暴露抗原结合区Fab片段以提高抗体活性,避免常用的酰胺键共价偶联方法引起的抗体取向不当及自交联。本研究在合成硼酸修饰的聚马来酸酐-alt-1-十八碳烯(PBA-PMAO)的基础上,采用超声乳化法制备表面硼酸改性的量子点荧光微球(PBA-QBs)。该微球既可与抗体简便、快速地定向偶联,又因量子点含量高而具有很强的荧光信号。将其与甲胎蛋白(AFP)单克隆抗体室温共孵育5 min制备高抗体活性的荧光免疫层析检测探针并用于定量检测AFP,线性范围为0.98~31.25 ng mL^(-1),最低检测限为0.45 ng mL^(-1),检测耗时20 min。血清样品中AFP的加标回收率为91.0%~107.1%,批内、批间变异系数介于3.65%~10.42%。展开更多
As point cloud of one whole vehicle body has the traits of large geometric dimension,huge data and rigorous reverse precision,one pretreatment algorithm on automobile body point cloud is put forward.The basic idea of ...As point cloud of one whole vehicle body has the traits of large geometric dimension,huge data and rigorous reverse precision,one pretreatment algorithm on automobile body point cloud is put forward.The basic idea of the registration algorithm based on the skeleton points is to construct the skeleton points of the whole vehicle model and the mark points of the separate point cloud,to search the mapped relationship between skeleton points and mark points using congruence triangle method and to match the whole vehicle point cloud using the improved iterative closed point(ICP)algorithm.The data reduction algorithm,based on average square root of distance,condenses data by three steps,computing datasets'average square root of distance in sampling cube grid,sorting order according to the value computed from the first step,choosing sampling percentage.The accuracy of the two algorithms above is proved by a registration and reduction example of whole vehicle point cloud of a certain light truck.展开更多
文摘提高表面抗体活性是免疫检测探针制备的关键。硼酸可与IgG的糖基化Fc片段快速发生位点特异性结合,充分暴露抗原结合区Fab片段以提高抗体活性,避免常用的酰胺键共价偶联方法引起的抗体取向不当及自交联。本研究在合成硼酸修饰的聚马来酸酐-alt-1-十八碳烯(PBA-PMAO)的基础上,采用超声乳化法制备表面硼酸改性的量子点荧光微球(PBA-QBs)。该微球既可与抗体简便、快速地定向偶联,又因量子点含量高而具有很强的荧光信号。将其与甲胎蛋白(AFP)单克隆抗体室温共孵育5 min制备高抗体活性的荧光免疫层析检测探针并用于定量检测AFP,线性范围为0.98~31.25 ng mL^(-1),最低检测限为0.45 ng mL^(-1),检测耗时20 min。血清样品中AFP的加标回收率为91.0%~107.1%,批内、批间变异系数介于3.65%~10.42%。
基金This project is supported by Provincial Technology Cooperation Program of Yunnan,China(No.2003EAAAA00D043).
文摘As point cloud of one whole vehicle body has the traits of large geometric dimension,huge data and rigorous reverse precision,one pretreatment algorithm on automobile body point cloud is put forward.The basic idea of the registration algorithm based on the skeleton points is to construct the skeleton points of the whole vehicle model and the mark points of the separate point cloud,to search the mapped relationship between skeleton points and mark points using congruence triangle method and to match the whole vehicle point cloud using the improved iterative closed point(ICP)algorithm.The data reduction algorithm,based on average square root of distance,condenses data by three steps,computing datasets'average square root of distance in sampling cube grid,sorting order according to the value computed from the first step,choosing sampling percentage.The accuracy of the two algorithms above is proved by a registration and reduction example of whole vehicle point cloud of a certain light truck.
