Evaluation of a biosensor-based graphene oxide-DNA nanohybrid for lung cancer.
Mustafa M KadhimAhmed Mahdi RheimaZainab S AbbasHaider Hussain JloodSafa K HachimWesam R KadhumEhsan KianfarPublished in: RSC advances (2023)
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.
Keyphrases
- label free
- high resolution
- single molecule
- quantum dots
- gold nanoparticles
- electron microscopy
- circulating tumor
- cell free
- sensitive detection
- reduced graphene oxide
- deep learning
- cardiovascular disease
- papillary thyroid
- working memory
- coronary artery disease
- solid phase extraction
- squamous cell carcinoma
- loop mediated isothermal amplification
- type diabetes
- living cells
- mass spectrometry
- risk assessment
- machine learning
- convolutional neural network
- tandem mass spectrometry
- fluorescent probe