首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >A Label-Free Fluorescent Array Sensor Utilizing Liposome Encapsulating Calcein for Discriminating Target Proteins by Principal Component Analysis
【2h】

A Label-Free Fluorescent Array Sensor Utilizing Liposome Encapsulating Calcein for Discriminating Target Proteins by Principal Component Analysis

机译:利用脂质体包裹钙黄绿素的无标记荧光阵列传感器通过主成分分析来区分目标蛋白

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

A new fluorescent arrayed biosensor has been developed to discriminate species and concentrations of target proteins by using plural different phospholipid liposome species encapsulating fluorescent molecules, utilizing differences in permeation of the fluorescent molecules through the membrane to modulate liposome-target protein interactions. This approach proposes a basically new label-free fluorescent sensor, compared with the common technique of developed fluorescent array sensors with labeling. We have confirmed a high output intensity of fluorescence emission related to characteristics of the fluorescent molecules dependent on their concentrations when they leak from inside the liposomes through the perturbed lipid membrane. After taking an array image of the fluorescence emission from the sensor using a CMOS imager, the output intensities of the fluorescence were analyzed by a principal component analysis (PCA) statistical method. It is found from PCA plots that different protein species with several concentrations were successfully discriminated by using the different lipid membranes with high cumulative contribution ratio. We also confirmed that the accuracy of the discrimination by the array sensor with a single shot is higher than that of a single sensor with multiple shots.
机译:已经开发出一种新的荧光阵列生物传感器,以通过使用多个包裹荧光分子的磷脂脂质体来区分靶蛋白的种类和浓度,利用荧光分子通过膜的渗透差异来调节脂质体-靶蛋白相互作用。与已开发的带有标记的荧光阵列传感器的常用技术相比,该方法提出了一种基本新型的无标记荧光传感器。我们已经证实,当荧光分子从脂质体内部通过扰动的脂膜泄漏时,取决于荧光分子浓度的荧光发射的高输出强度与荧光分子的特性有关。使用CMOS成像仪拍摄传感器发出的荧光的阵列图像后,通过主成分分析(PCA)统计方法分析了荧光的输出强度。从PCA图中发现,通过使用具有高累积贡献率的不同脂质膜可以成功地区分几种浓度的不同蛋白质。我们还确认,单次拍摄的阵列传感器的识别精度高于多次拍摄的单个传感器的识别精度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号