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Adaptive emission profile of transformable fluorescent probes as fingerprints:A typical application in distinguishing different surfactants
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作者 Guangying Wang Qinglong Qiao +5 位作者 Wenhao Jia Yiyan Ruan Kai An Wenchao Jiang Xuelian Zhou Zhaochao Xu 《Chinese Chemical Letters》 2025年第5期527-531,共5页
The overuse of surfactants has made them well-known environmental pollutants.So far,it is still a challenge to simultaneously distinguish cationic,anionic,zwitterionic,nonionic surfactants and surfactants with similar... The overuse of surfactants has made them well-known environmental pollutants.So far,it is still a challenge to simultaneously distinguish cationic,anionic,zwitterionic,nonionic surfactants and surfactants with similar structures based on traditional analytical techniques.We developed a high-throughput method for distinguishing various surfactants based on the adaptive emission profile as fingerprints(AEPF).The fluorescence response of the sensor was based on the interaction between surfactants and 1,3-diacetylpyrene(o-DAP)probe.The interaction affected the reversible conversion of free molecules and two aggregates in the solution,thereby changing the relative abundance and the fluorescence intensity ratio of two aggregates emitting different fluorescence.The o-DAP sensor can distinguish four types of surfactants(16 surfactants),especially surfactants of the same type with similar structures.The o-DAP sensor sensitively determined the critical micelle concentration(CMC)of 16 surfactants based on the interaction between o-DAP and surfactants.Additionally,the o-DAP sensor can detect and distinguish artificial vesicles made from different surfactants. 展开更多
关键词 Sensor aepf PROBE AGGREGATES SURFACTANTS DISTINGUISH
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基于改进粒子滤波的光电目标跟踪算法研究
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作者 熊茂涛 张勇 吴钦章 《系统仿真学报》 CAS CSCD 北大核心 2010年第4期886-889,共4页
在光电目标跟踪与定位中,结合扩展卡尔曼滤波和粒子滤波的优点和目标跟踪的非线性特征,提出了一种非线性系统的基于"当前"统计模型的自适应扩展卡尔曼粒子滤波算法,根据光电目标的测量信息修正加速度方差,消除随机误差和噪声... 在光电目标跟踪与定位中,结合扩展卡尔曼滤波和粒子滤波的优点和目标跟踪的非线性特征,提出了一种非线性系统的基于"当前"统计模型的自适应扩展卡尔曼粒子滤波算法,根据光电目标的测量信息修正加速度方差,消除随机误差和噪声的干扰,提高预测的精度。通过MonteCarlo对比仿真实验表明该算法正确有效,定位精度较高,滤波效果得到改善,同时增强了稳定性,优于一般的EKF、PF和EPF算法,为光电目标的精确跟踪与定位的实现提供一种新的方法。 展开更多
关键词 光电目标跟踪 “当前”统计模型 粒子滤波 aepf算法
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