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Nose-on-Chip Nanobiosensors for Early Detection of Lung Cancer Breath Biomarkers.
Chaudhary, Vishal; Taha, Bakr Ahmed; Rustagi, Sarvesh; Khosla, Ajit; Papakonstantinou, Pagona; Bhalla, Nikhil.
Afiliación
  • Chaudhary V; Physics Department, Bhagini Nivedita College, University of Delhi, 110043 Delhi, India.
  • Taha BA; Centre for Research Impact & Outcome, Chitkara University, Punjab 140401, India.
  • Lucky; Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, UKM, 43600 Bangi, Malaysia.
  • Rustagi S; Dr. B. R. Ambedkar Center for Biomedical Research, University of Delhi, 110007 Delhi, India.
  • Khosla A; School of Applied and Life Sciences, Uttaranchal University, Dehradun, Uttarakhand 248007, India.
  • Papakonstantinou P; School of Advanced Materials and Nanotechnology, Xidian University, Xi'an 710126, China.
  • Bhalla N; Nanotechnology and Integrated Bioengineering Centre (NIBEC), School of Engineering, Ulster University, 2-24 York Street, Belfast, Northern Ireland BT15 1AP, United Kingdom.
ACS Sens ; 9(9): 4469-4494, 2024 Sep 27.
Article en En | MEDLINE | ID: mdl-39248694
ABSTRACT
Lung cancer remains a global health concern, demanding the development of noninvasive, prompt, selective, and point-of-care diagnostic tools. Correspondingly, breath analysis using nanobiosensors has emerged as a promising noninvasive nose-on-chip technique for the early detection of lung cancer through monitoring diversified biomarkers such as volatile organic compounds/gases in exhaled breath. This comprehensive review summarizes the state-of-the-art breath-based lung cancer diagnosis employing chemiresistive-module nanobiosensors supported by theoretical findings. It unveils the fundamental mechanisms and biological basis of breath biomarker generation associated with lung cancer, technological advancements, and clinical implementation of nanobiosensor-based breath analysis. It explores the merits, challenges, and potential alternate solutions in implementing these nanobiosensors in clinical settings, including standardization, biocompatibility/toxicity analysis, green and sustainable technologies, life-cycle assessment, and scheming regulatory modalities. It highlights nanobiosensors' role in facilitating precise, real-time, and on-site detection of lung cancer through breath analysis, leading to improved patient outcomes, enhanced clinical management, and remote personalized monitoring. Additionally, integrating these biosensors with artificial intelligence, machine learning, Internet-of-things, bioinformatics, and omics technologies is discussed, providing insights into the prospects of intelligent nose-on-chip lung cancer sniffing nanobiosensors. Overall, this review consolidates knowledge on breathomic biosensor-based lung cancer screening, shedding light on its significance and potential applications in advancing state-of-the-art medical diagnostics to reduce the burden on hospitals and save human lives.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pruebas Respiratorias / Técnicas Biosensibles / Biomarcadores de Tumor / Detección Precoz del Cáncer / Neoplasias Pulmonares Límite: Humans Idioma: En Revista: ACS Sens Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pruebas Respiratorias / Técnicas Biosensibles / Biomarcadores de Tumor / Detección Precoz del Cáncer / Neoplasias Pulmonares Límite: Humans Idioma: En Revista: ACS Sens Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos