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首页> 外文期刊>The Analyst: The Analytical Journal of the Royal Society of Chemistry: A Monthly International Publication Dealing with All Branches of Analytical Chemistry >Acquiring multiple signals along with the reaction time: improving recognition capability of a multidimensional colorimetric sensor array for sensitive protein detection
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Acquiring multiple signals along with the reaction time: improving recognition capability of a multidimensional colorimetric sensor array for sensitive protein detection

机译:与反应时间一起获取多个信号:提高多维比色传感器阵列的识别能力以进行敏感蛋白质检测

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摘要

The development of sensitive and cheap sensor arrays for identification of proteins plays an important role in many bioanalytical and clinical investigations. Here, we introduce a multidimensional colorimetric sensor array for the detection of multiple proteins based on acquiring multiple signals along with the reaction time to enhance the discrimination ability. In a single experiment, the unique fingerprint for each protein against the sensor array is generated from a response absorbance signal at three reaction time points (at 10 min, 15 min, and 20 min). Our colorimetric sensing system is able to identify ten proteins not only in aqueous solution at 10 nM but also in human urine at the 50 nM level with an accuracy of 100%. Moreover, the identification of HSA in urine at the nanomolar level within a linear range of 0.05-1.0 mu M is achieved. Our sensing array system is sufficiently sensitive for the discrimination of pure HSA, binary mixtures of HSA and Lys at a total concentration of 50 nM in urine. This study indicates that the application of the real-time resolved response signals enables the enhancement of the discrimination ability for protein recognition.
机译:敏感和廉价传感器阵列的开发,用于鉴定蛋白质在许多生物分析和临床调查中起着重要作用。这里,我们引入多维比色传感器阵列,用于检测多个蛋白质,基于获取多个信号以及反应时间来提高辨别能力。在单一实验中,从响应吸光度信号在三个反应时间点(10分钟,15分钟和20分钟)中产生针对传感器阵列的每个蛋白质的独特指纹。我们的比色感测系统能够在10nm的水溶液中识别10个蛋白质,而且在50nm水平的人尿液中,精度为100%。此外,实现了在0.05-1.0μm的线性范围内的纳摩水平的尿液中HSA的鉴定。我们的传感阵列系统对尿液总浓度为50nm的HSA,HSA的二元混合物,HSA的二元混合物,尿液中的二元混合物的鉴别足够敏感。本研究表明,实时解析响应信号的应用能够提高蛋白质识别的辨别能力。

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