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Towards hospital-on-chip supported by 2D MXenes-based 5th generation intelligent biosensors.
Chaudhary, Vishal; Khanna, Virat; Ahmed Awan, Hafiz Taimoor; Singh, Kamaljit; Khalid, Mohammad; Mishra, Yogendra Kumar; Bhansali, Shekhar; Li, Chen-Zhong; Kaushik, Ajeet.
  • Chaudhary V; Research Cell & Department of Physics, Bhagini Nivedita College, University of Delhi, Delhi, 110043, India; SUMAN Laboratory (SUstainable Materials & Advanced Nanotechnology Lab), New Delhi 110072, India. Electronic address: Chaudhary00vishal@gmail.com.
  • Khanna V; Department of Mechanical Engineering, MAIT, Maharaja Agrasen University, HP, 174103, India.
  • Ahmed Awan HT; Graphene & Advanced 2D Materials Research Group (GAMRG), School of Engineering and Technology, Sunway University, No. 5, Jalan University, Bandar Sunway, 47500, Petaling Jaya, Selangor, Malaysia.
  • Singh K; Department of Mechanical Engineering, MAIT, Maharaja Agrasen University, HP, 174103, India.
  • Khalid M; Graphene & Advanced 2D Materials Research Group (GAMRG), School of Engineering and Technology, Sunway University, No. 5, Jalan University, Bandar Sunway, 47500, Petaling Jaya, Selangor, Malaysia; Sunway Materials Smart Science & Engineering (SMS2E) Research Cluster, Sunway University, No. 5,
  • Mishra YK; Mads Clausen Institute, NanoSYD, University of Southern Denmark, Alison 2, Sønderborg, 6400, Denmark.
  • Bhansali S; Department of Electrical and Computing Engineering, Florida International University, Miami, FL, 33174, USA.
  • Li CZ; Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA, 70112, USA; Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA, 70112, USA. Electronic address: chenzhongbios
  • Kaushik A; NanoBioTech Laboratory, Department of Environmental Engineering, Florida Polytechnic University, Lakeland, FL, 33805, USA; School of Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India. Electronic address: akaushik@floridapoly.edu.
Biosens Bioelectron ; 220: 114847, 2023 Jan 15.
Article in English | MEDLINE | ID: covidwho-2239673
ABSTRACT
Existing public health emergencies due to fatal/infectious diseases such as coronavirus disease (COVID-19) and monkeypox have raised the paradigm of 5th generation portable intelligent and multifunctional biosensors embedded on a single chip. The state-of-the-art 5th generation biosensors are concerned with integrating advanced functional materials with controllable physicochemical attributes and optimal machine processability. In this direction, 2D metal carbides and nitrides (MXenes), owing to their enhanced effective surface area, tunable physicochemical properties, and rich surface functionalities, have shown promising performances in biosensing flatlands. Moreover, their hybridization with diversified nanomaterials caters to their associated challenges for the commercialization of stability due to restacking and oxidation. MXenes and its hybrid biosensors have demonstrated intelligent and lab-on-chip prospects for determining diverse biomarkers/pathogens related to fatal and infectious diseases. Recently, on-site detection has been clubbed with solution-on-chip MXenes by interfacing biosensors with modern-age technologies, including 5G communication, internet-of-medical-things (IoMT), artificial intelligence (AI), and data clouding to progress toward hospital-on-chip (HOC) modules. This review comprehensively summarizes the state-of-the-art MXene fabrication, advancements in physicochemical properties to architect biosensors, and the progress of MXene-based lab-on-chip biosensors toward HOC solutions. Besides, it discusses sustainable aspects, practical challenges and alternative solutions associated with these modules to develop personalized and remote healthcare solutions for every individual in the world.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Internet of Things / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: Biosens Bioelectron Journal subject: Biotechnology Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Internet of Things / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: Biosens Bioelectron Journal subject: Biotechnology Year: 2023 Document Type: Article