Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, 502285, India.
Mikrochim Acta. 2020 Feb 19;187(3):181. doi: 10.1007/s00604-020-4152-8.
Ovarian cancer is commonly diagnosed via determination of biomarkers like CA125, Mucin 1, HE4, and prostasin that can be present in the blood. However, there is a substantial need for less expensive, simpler, and portable diagnostic tools, both for timely diagnosis and management of ovarian cancer. This review (with 101 refs.) discusses various kinds of nanomaterial-based biosensors for tumor markers. Following an introduction into the field, a first section covers different kinds of biomarkers for ovarian cancer including CA125 (MUC16), mucin 1 (MUC1), human epididymis protein 4 (HE4), and prostasin. This is followed by a short overview on conventional diagnostic approaches. A large section is then presented on biosensors for determination of ovarian cancer, with subsections on optical biosensors (fluorimetric, colorimetric, surface plasmon resonance, chemiluminescence, electrochemiluminescence), on electrochemical sensors, molecularly imprinted sensors, paper-based biosensors, microfluidic (lab-on-a-chip) assays, chemiresistive and field effect transistor-based sensors, and giant magnetoresistive sensors. Tables are presented that give an overview on the wealth of methods and materials. A concluding section summarizes the current status, addresses current challenges, and gives an outlook on potential future trends. Graphical abstract Schematic representation of the review covering the advancements in the fabrication of various nanomaterial based biosensors for diagnosis of ovarian cancer.
卵巢癌通常通过 CA125、Mucin 1、HE4 和 prostasin 等生物标志物的测定来诊断,这些标志物可以存在于血液中。然而,人们迫切需要更经济、更简单、更便携的诊断工具,以便及时诊断和管理卵巢癌。这篇综述(引用了 101 篇参考文献)讨论了基于各种纳米材料的肿瘤标志物生物传感器。在介绍该领域之后,首先介绍了用于卵巢癌的不同类型的生物标志物,包括 CA125(MUC16)、粘蛋白 1(MUC1)、人附睾蛋白 4(HE4)和 prostasin。接着简要概述了传统的诊断方法。然后,有一个很大的部分是关于卵巢癌的生物传感器,分为光学生物传感器(荧光、比色、表面等离子体共振、化学发光、电化学发光)、电化学传感器、分子印迹传感器、纸基生物传感器、微流控(芯片实验室)分析、化学电阻和场效应晶体管传感器和巨磁电阻传感器。提供了表格,概述了丰富的方法和材料。最后一节总结了当前的现状,讨论了当前的挑战,并展望了未来潜在的趋势。