Kim, Jinsik Chae, Myung-Sic Lee, Sung Min Jeong, Dahye Lee, Byung Chul Lee, Jeong Hoon Kim, YoungSoo Chang, Suk Tai Hwang, Kyo Seon 2024-01-20T03:33:31Z 2024-01-20T03:33:31Z 2021-09-05 2016-08 https://pubs.kist.re.kr/handle/201004/123788 Given that reduced graphene oxide (rGO)-based biosensors allow disposable and repeatable biomarker detection at the point of care, we developed a wafer-scale rGO patterning method with mass productivity, uniformity, and high resolution by conventional micro-electro-mechanical systems (MEMS) techniques. Various rGO patterns were demonstrated with dimensions ranging from 5 mu m up to several hundred mu m. Manufacture of these patterns was accomplished through the optimization of dry etching conditions. The axis-homogeneity and uniformity were also measured to verify the uniform patternability in 4-inch wafer with dry etching. Over 66.2% of uniform rGO patterns, which have deviation of resistance within range of +/- 10%, formed the entire wafer. We selected amyloid beta (A beta) peptides in the plasma of APP/PS1 transgenic mice as a study model and measured the peptide level by resistance changes of highly uniform rGO biosensor arrays. A beta is a pathological hallmark of Alzheimer's disease and its plasma concentration is in the pg mL(-1) range. The sensor detected the A beta peptides with ultra-high sensitivity; the LOD was at levels as low as 100 fg mL(-1). Our results provide biological evidences that this wafer-scale high-resolution patterning method can be used in rGO-based electrical diagnostic devices for detection of low-level protein biomarkers in biofluids. English Nature Publishing Group Wafer-scale high-resolution patterning of reduced graphene oxide films for detection of low concentration biomarkers in plasma Article 10.1038/srep31276 1 Scientific Reports, v.6 Scientific Reports 6 N scie scopus 000381109400001 2-s2.0-84981320868 Multidisciplinary Sciences Science & Technology - Other Topics Article BIOSENSOR PROTEIN