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A liposome-based multivariate biosensor for the functional detection of pore-forming toxins.

机译：基于脂质体的多元生物传感器，用于功能性检测成孔毒素。

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摘要

A proof of concept for a multivariate liposome-based biosensor that functionally detects several membrane-permeabilizing compounds is presented. Test samples included syringopeptin 25B and syringotoxin from the plant pathogen Pseudomonas syringae. The sensor simultaneously measured the lytic response of several liposome types when a test sample was introduced. Liposome lysis resulted in a drop in electrical resistance, and the collective response of the different liposome types was analyzed with the Random Forests for sample identification. Random Forests correctly classified all samples tested, independent of concentration. Multiple regression with the lasso was used to perform a multivariate calibration; detection limits were 38 and 58 ng/mL for syringopeptin 25B and syringotoxin, respectively. Multivariate biosensors such as this represent an improvement in flexibility over many existing biosensors. Expanding the instrument's repertoire of analytes is often a matter of in silico re-tooling of the analysis, and not of sensor redesign.
机译：提出了一种基于脂质体的多变量生物传感器的概念证明，该传感器可功能性检测几种膜通透性化合物。测试样品包括syringopeptin 25B和来自植物病原体丁香假单胞菌的丁香毒素。当引入测试样品时，传感器同时测量了几种脂质体的裂解反应。脂质体裂解导致电阻降低，并使用随机森林分析了不同脂质体类型的集体响应，以进行样品鉴定。随机森林正确地对所有测试样品进行了分类，而与浓度无关。套索的多元回归用于执行多变量校准。丁香脂肽25B和丁香毒素的检出限分别为38和58 ng / mL。像这样的多元生物传感器代表了与许多现有生物传感器相比灵活性的提高。扩大仪器的分析物范围通常是对分析进行计算机重组，而不是重新设计传感器。

著录项

  • 作者

    Michaelson, Jacob J.;

  • 作者单位

    Utah State University.;

  • 授予单位 Utah State University.;
  • 学科 Engineering Biomedical.
  • 学位 M.S.
  • 年度 2007
  • 页码 96 p.
  • 总页数 96
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物医学工程;
  • 关键词

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