全血样本中神经元特异性烯醇化酶和癌胚抗原的模式识别

Pattern recognition of neuron specific enolase and carcinoembryonic antigen in whole blood samples.

作者信息

Stefan-van Staden Raluca-Ioana, Comnea-Stancu Ionela Raluca, Surdu-Bob Carmen Cristina, Stanciu-Gavan Camelia

机构信息

Laboratory of Electrochemistry and PATLAB Bucharest, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei St., Bucharest, 060021, Romania; Faculty of Applied Chemistry and Materials Science, Politehnica University of Bucharest, 1-7 Polizu St., Bucharest, 011061, Romania.

出版信息

J Mol Recognit. 2015 Feb;28(2):103-7. doi: 10.1002/jmr.2433. Epub 2015 Jan 21.

Abstract

New tools and methods for pattern recognition of neuron specific enolase (NSE) and carcinoembryonic antigen (CEA) were proposed for the screening of whole blood samples. The new tools were based on stochastic sensors designed using nanoporous gold microspheres, graphite, graphene, diamond paste as well as α-CDs, and 5,10,15,20-tetraphenyl-21H,23H-porphyrin. The best sensor for the assay of CEA was the one based on P/graphite (the limit of determination was 16 fg/ml and sensitivity was 2.32 × 10(7)  s mg(-1)  ml), while for the assay of NSE the, best sensor was the one based on P/graphene (the limit of determination was 7.45 pg/ml and sensitivity was 2.49 × 10(8)  s mg(-1)  ml). The sensor of choice for simultaneous detection of NSE and CEA is the one based on P/graphene because we need high sensitivity and low limit of determination for NSE. To our knowledge, this is the only one screening test for early detection of lung cancer, by identification of NSE and CEA in whole blood samples.

摘要

提出了用于全血样本筛查的神经元特异性烯醇化酶(NSE)和癌胚抗原(CEA)模式识别的新工具和方法。这些新工具基于使用纳米多孔金微球、石墨、石墨烯、金刚石糊以及α-环糊精和5,10,15,20-四苯基-21H,23H-卟啉设计的随机传感器。用于CEA检测的最佳传感器是基于P/石墨的传感器(测定限为16 fg/ml,灵敏度为2.32×10(7) s mg(-1) ml),而用于NSE检测的最佳传感器是基于P/石墨烯的传感器(测定限为7.45 pg/ml,灵敏度为2.49×10(8) s mg(-1) ml)。同时检测NSE和CEA的首选传感器是基于P/石墨烯的传感器,因为我们需要对NSE有高灵敏度和低测定限。据我们所知,这是通过识别全血样本中的NSE和CEA进行肺癌早期检测的唯一一种筛查测试。

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