Kadhim Mustafa M, Rheima Ahmed Mahdi, Abbas Zainab S, Jlood Haider Hussain, Hachim Safa K, Kadhum Wesam R, Kianfar Ehsan
Medical Laboratory Techniques Department, Al-Farahidi University Baghdad 10022 Iraq.
Department of Chemistry, College of Science, Mustansiriyah University Baghdad Iraq.
RSC Adv. 2023 Jan 17;13(4):2487-2500. doi: 10.1039/d2ra05808a. eCollection 2023 Jan 11.
Lung cancer is nowadays among the most prevalent diseases worldwide and features the highest mortality rate among various cancers, indicating that early diagnosis of the disease is of paramount importance. Given that the conventional methods of cancer detection are expensive and time-consuming, special attention has been paid to the provision of less expensive and faster techniques. In recent years, the dramatic advances in nanotechnology and the development of various nanomaterials have led to activities in this context. Recent studies indicate that the graphene oxide (GO) nanomaterial has high potential in the design of nano biosensors for lung cancer detection owing to its unique properties. In the current article, a nano biosensor based on a DNA-GO nanohybrid is introduced to detect deletion mutations causing lung cancer. In this method, mutations were detected using a FAM-labeled DNA probe with fluorescence spectrometry. GO was synthesized according to Hummers' method and examined and confirmed using Fourier Transform Infrared (FT-IR) Spectrometry and UV-vis spectrometry methods and Transmission Electron Microscopy (TEM) images.
肺癌是当今全球最普遍的疾病之一,在各种癌症中死亡率最高,这表明该疾病的早期诊断至关重要。鉴于传统的癌症检测方法昂贵且耗时,人们特别关注提供成本更低、速度更快的技术。近年来,纳米技术的巨大进步和各种纳米材料的开发促使了这方面的进展。最近的研究表明,氧化石墨烯(GO)纳米材料因其独特的性质,在设计用于肺癌检测的纳米生物传感器方面具有很高的潜力。在本文中,介绍了一种基于DNA-GO纳米杂化物的纳米生物传感器,用于检测导致肺癌的缺失突变。在该方法中,使用带有荧光光谱法的FAM标记DNA探针检测突变。GO根据Hummers方法合成,并使用傅里叶变换红外(FT-IR)光谱法、紫外可见光谱法和透射电子显微镜(TEM)图像进行检查和确认。