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Kammarchedu V, Asgharian H, Zhou K, Soltan Khamsi P, Ebrahimi A. Recent advances in graphene-based electroanalytical devices for healthcare applications. NANOSCALE 2024; 16:12857-12882. [PMID: 38888429 PMCID: PMC11238565 DOI: 10.1039/d3nr06137j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
Graphene, with its outstanding mechanical, electrical, and biocompatible properties, stands out as an emerging nanomaterial for healthcare applications, especially in building electroanalytical biodevices. With the rising prevalence of chronic diseases and infectious diseases, such as the COVID-19 pandemic, the demand for point-of-care testing and remote patient monitoring has never been greater. Owing to their portability, ease of manufacturing, scalability, and rapid and sensitive response, electroanalytical devices excel in these settings for improved healthcare accessibility, especially in resource-limited settings. The development of different synthesis methods yielding large-scale graphene and its derivatives with controllable properties, compatible with device manufacturing - from lithography to various printing methods - and tunable electrical, chemical, and electrochemical properties make it an attractive candidate for electroanalytical devices. This review article sheds light on how graphene-based devices can be transformative in addressing pressing healthcare needs, ranging from the fundamental understanding of biology in in vivo and ex vivo studies to early disease detection and management using in vitro assays and wearable devices. In particular, the article provides a special focus on (i) synthesis and functionalization techniques, emphasizing their suitability for scalable integration into devices, (ii) various transduction methods to design diverse electroanalytical device architectures, (iii) a myriad of applications using devices based on graphene, its derivatives, and hybrids with other nanomaterials, and (iv) emerging technologies at the intersection of device engineering and advanced data analytics. Finally, some of the major hurdles that graphene biodevices face for translation into clinical applications are discussed.
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Affiliation(s)
- Vinay Kammarchedu
- Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
- Center for Atomically Thin Multifunctional Coatings, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Heshmat Asgharian
- Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Keren Zhou
- Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Pouya Soltan Khamsi
- Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Aida Ebrahimi
- Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
- Center for Atomically Thin Multifunctional Coatings, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Biomedical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
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A machine learning-based multimodal electrochemical analytical device based on eMoSx-LIG for multiplexed detection of tyrosine and uric acid in sweat and saliva. Anal Chim Acta 2022; 1232:340447. [DOI: 10.1016/j.aca.2022.340447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/19/2022] [Accepted: 09/23/2022] [Indexed: 11/20/2022]
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