Nose-on-Chip Nanobiosensors for Early Detection of Lung Cancer Breath Biomarkers

被引:19
|
作者
Chaudhary, Vishal [1 ,2 ]
Taha, Bakr Ahmed [3 ]
Lucky, Sarvesh [4 ]
Rustagi, Sarvesh [4 ]
Khosla, Ajit [7 ]
Papakonstantinou, Pagona [5 ]
Bhalla, Nikhil [5 ,6 ]
机构
[1] Univ Delhi, Bhagini Nivedita Coll, Phys Dept, Delhi 110043, India
[2] Chitkara Univ, Ctr Res Impact & Outcome, Rajpura 140401, Punjab, India
[3] Univ Kebangsaan Malaysia, Fac Engn & Built Environm, Dept Elect Elect & Syst Engn, Bangi 43600, Malaysia
[4] Uttaranchal Univ, Sch Appl & Life Sci, Dehra Dun 248007, Uttarakhand, India
[5] Ulster Univ, Nanotechnol & Integrated Bioengn Ctr NIBEC, Sch Engn, Belfast BT15 1AP, North Ireland
[6] Ulster Univ, Healthcare Technol Hub, Belfast BT15 1AP, North Ireland
[7] Xidian Univ, Sch Adv Mat & Nanotechnol, Xian 710126, Peoples R China
来源
ACS SENSORS | 2024年 / 9卷 / 09期
关键词
Biosensors; Nanotechnology; Lung cancer; Breathomics; Biomarkers; Nose-on-chip; Lab-on-chip; Early detection; VOLATILE ORGANIC-COMPOUNDS; RESISTIVE SENSORS; GAS SENSORS; CARBON; VOC; GRAPHENE; NANOSHEETS; BIOSENSOR; DIAGNOSIS; NANOCOMPOSITE;
D O I
10.1021/acssensors.4c01524
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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.
引用
收藏
页码:4469 / 4494
页数:26
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