Nose-on-Chip Nanobiosensors for Early Detection of Lung Cancer Breath Biomarkers DOI Creative Commons
Vishal Chaudhary, Bakr Ahmed Taha,

Lucky Lucky

et al.

ACS Sensors, Journal Year: 2024, Volume and Issue: 9(9), P. 4469 - 4494

Published: Sept. 9, 2024

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 promising noninvasive nose-on-chip technique for early detection lung through monitoring diversified biomarkers such volatile organic compounds/gases in exhaled breath. This comprehensive review summarizes state-of-the-art breath-based diagnosis employing chemiresistive-module supported by theoretical findings. It unveils fundamental mechanisms biological basis biomarker generation associated with cancer, technological advancements, clinical implementation nanobiosensor-based analysis. explores merits, challenges, potential alternate solutions implementing these settings, including standardization, biocompatibility/toxicity analysis, green sustainable technologies, life-cycle assessment, scheming regulatory modalities. highlights nanobiosensors' role facilitating precise, real-time, on-site leading to improved patient outcomes, enhanced management, remote personalized monitoring. Additionally, integrating biosensors artificial intelligence, machine learning, Internet-of-things, bioinformatics, omics technologies is discussed, providing insights into prospects intelligent sniffing nanobiosensors. Overall, this consolidates knowledge on breathomic biosensor-based screening, shedding light its significance applications advancing medical diagnostics reduce burden hospitals save human lives.

Language: Английский

Diagnostics for SARS-CoV-2 infections DOI Creative Commons
Bhavesh D. Kevadiya, Jatin Machhi, Jonathan Herskovitz

et al.

Nature Materials, Journal Year: 2021, Volume and Issue: 20(5), P. 593 - 605

Published: Feb. 15, 2021

Language: Английский

Citations

719

Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics DOI
Wenzheng Heng,

Samuel A. Solomon,

Wei Gao

et al.

Advanced Materials, Journal Year: 2021, Volume and Issue: 34(16)

Published: Dec. 12, 2021

Abstract Medical robots are invaluable players in non‐pharmaceutical treatment of disabilities. Particularly, using prosthetic and rehabilitation devices with human–machine interfaces can greatly improve the quality life for impaired patients. In recent years, flexible electronic soft robotics have attracted tremendous attention this field due to their high biocompatibility, functionality, conformability, low‐cost. Flexible on will make a promising alternative conventional rigid devices, which potentially revolutionize paradigm future direction medical terms feedback user experience. review, fundamental components materials, structures, mechanisms human‐machine summarized by renowned applications five primary areas: physical chemical sensing, physiological recording, information processing communication, robotic actuation, stimulation. This review further concludes discussing outlook current challenges these technologies as interface robotics.

Language: Английский

Citations

374

Sensors for Volatile Organic Compounds DOI
Muhammad Khatib, Hossam Haick

ACS Nano, Journal Year: 2022, Volume and Issue: 16(5), P. 7080 - 7115

Published: May 5, 2022

This paper provides an overview of recent developments in the field volatile organic compound (VOC) sensors, which are finding uses healthcare, safety, environmental monitoring, food and agriculture, oil industry, other fields. It starts by briefly explaining basics VOC sensing reviewing currently available quickly progressing approaches. then discusses main trends materials' design with special attention to nanostructuring nanohybridization. Emerging materials strategies highlighted their involvement different types technologies is discussed, including optical, electrical, gravimetric sensors. The review also detailed discussions about limitations offers potential solutions. status suggestions promising directions for future development summarized.

Language: Английский

Citations

280

Emerging Telemedicine Tools for Remote COVID-19 Diagnosis, Monitoring, and Management DOI Open Access
Heather Lukas, Changhao Xu, You Yu

et al.

ACS Nano, Journal Year: 2020, Volume and Issue: 14(12), P. 16180 - 16193

Published: Dec. 14, 2020

The management of the COVID-19 pandemic has relied on cautious contact tracing, quarantine, and sterilization protocols while we await a vaccine to be made widely available. Telemedicine or mobile health (mHealth) is well-positioned during this time reduce potential disease spread prevent overloading healthcare system through at-home screening, diagnosis, monitoring. With rise mass-fabricated electronics for wearable portable sensors, emerging telemedicine tools have been developed address shortcomings in diagnostics, monitoring, management. In Perspective, summarize current implementations mHealth sensors COVID-19, highlight recent technological advances, provide an overview how these may utilized better control pandemic.

Language: Английский

Citations

237

Point-of-care testing detection methods for COVID-19 DOI
Qi Song, Xindi Sun,

Ziyi Dai

et al.

Lab on a Chip, Journal Year: 2021, Volume and Issue: 21(9), P. 1634 - 1660

Published: Jan. 1, 2021

This paper summarises the latest research advances and commercial products in POCT-based SARS-CoV-2 detection methods.

Language: Английский

Citations

200

Rapid Point-of-Care COVID-19 Diagnosis with a Gold-Nanoarchitecture-Assisted Laser-Scribed Graphene Biosensor DOI Open Access
Tutku Bedük, Duygu Beduk, José Ilton de Oliveira Filho

et al.

Analytical Chemistry, Journal Year: 2021, Volume and Issue: 93(24), P. 8585 - 8594

Published: June 3, 2021

The global pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has revealed urgent need for accurate, rapid, and affordable diagnostic tests epidemic understanding management monitoring population worldwide. Though current methods including real-time polymerase chain reaction (RT-PCR) provide sensitive detection of SARS-CoV-2, they require relatively long processing time, equipped laboratory facilities, highly skilled personnel. Laser-scribed graphene (LSG)-based biosensing platforms have gained enormous attention as miniaturized electrochemical systems, holding an potential point-of-care (POC) tools. We describe here a LSG-based sensing scheme disease 2019 (COVID-19) diagnosis combined with three-dimensional (3D) gold nanostructures. This electrode was modified SARS-CoV-2 spike protein antibody following proper surface modifications proved X-ray photoelectron spectroscopy (XPS) scanning electron microscopy (SEM) characterizations well techniques. system integrated into handheld POC operated using custom smartphone application, providing user-friendly platform due to its ease operation, accessibility, systematic data management. analytical features immunoassay were evaluated standard solution S-protein in range 5.0-500 ng/mL limit 2.9 ng/mL. A clinical study carried out on 23 patient blood serum samples successful COVID-19 diagnosis, compared commercial RT-PCR, test, enzyme-linked immunosorbent assay (ELISA) IgG IgA test results. Our provides faster results tools offers promising alternative next-generation applications.

Language: Английский

Citations

152

Artificial Intelligence in Medical Sensors for Clinical Decisions DOI
Hossam Haick, Ning Tang

ACS Nano, Journal Year: 2021, Volume and Issue: 15(3), P. 3557 - 3567

Published: Feb. 23, 2021

Due to the limited ability of conventional methods and perspective human diagnostics, patients are often diagnosed incorrectly or at a late stage as their disease condition progresses. They may then undergo unnecessary treatments due inaccurate diagnoses. In this Perspective, we offer brief overview on integration nanotechnology-based medical sensors artificial intelligence (AI) for advanced clinical decision support systems help decision-makers healthcare improve how they approach information, insights, surrounding contexts, well promote uptake personalized medicine an individualized basis. Relying these milestones, wearable sensing devices could enable interactive evolving decisions that be used evidence-based analysis recommendations monitoring progress treatment. We present discuss ongoing challenges future opportunities associated with AI-enabled in decisions.

Language: Английский

Citations

146

SARS-CoV-2 pandemic: a review of molecular diagnostic tools including sample collection and commercial response with associated advantages and limitations DOI Creative Commons
Harikrishnan Jayamohan, Christopher Lambert, Himanshu J. Sant

et al.

Analytical and Bioanalytical Chemistry, Journal Year: 2020, Volume and Issue: 413(1), P. 49 - 71

Published: Oct. 18, 2020

The unprecedented global pandemic known as SARS-CoV-2 has exercised to its limits nearly all aspects of modern viral diagnostics. In doing so, it illuminated both the advantages and limitations current technologies. Tremendous effort been put forth expand our capacity diagnose this deadly virus. work, we key observations in functionality methods for diagnostic testing. These include nucleic acid amplification-, CRISPR-, sequencing-, antigen-, antibody-based detection methods. Additionally, analysis equally critical COVID-19 diagnostics, including sample collection preparation, testing models, commercial response. We emphasize integrated nature assays, wherein issues preparation could impact overall performance a clinical setting.

Language: Английский

Citations

142

Molecularly imprinted polypyrrole based sensor for the detection of SARS-CoV-2 spike glycoprotein DOI Open Access
Vilma Ratautaitė, Raimonda Bogužaitė, Ernestas Brazys

et al.

Electrochimica Acta, Journal Year: 2021, Volume and Issue: 403, P. 139581 - 139581

Published: Nov. 16, 2021

Language: Английский

Citations

129

Review of Current COVID-19 Diagnostics and Opportunities for Further Development DOI Creative Commons
Yan Mardian, Herman Kosasih, Muhammad Karyana

et al.

Frontiers in Medicine, Journal Year: 2021, Volume and Issue: 8

Published: May 7, 2021

Diagnostic testing plays a critical role in addressing the coronavirus disease 2019 (COVID-19) pandemic, caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Rapid and accurate diagnostic tests are imperative for identifying managing infected individuals, contact tracing, epidemiologic characterization, public health decision making. Laboratory may be performed based on symptomatic presentation or screening of asymptomatic people. Confirmation SARS-CoV-2 infection is typically nucleic acid amplification (NAAT), which requires specialized equipment training particularly challenging resource-limited settings. NAAT give false-negative results due to timing sample collection relative infection, improper sampling respiratory specimens, inadequate preservation samples, technical limitations; false-positives occur errors, contamination during manual real-time polymerase chain reaction (RT-PCR) process. Thus, clinical presentation, history contemporary phyloepidemiology must considered when interpreting results. Several sample-to-answer platforms, including high-throughput systems Point Care (PoC) assays, have been developed increase capacity decrease errors. Alternatives RT-PCR assay, such as other RNA detection methods antigen appropriate certain situations, While sequencing important monitor on-going evolution genome, antibody assays useful purposes. The ever-expanding assortment tests, with varying utility, performance requirements, limitations, merits comparative evaluation. We herein provide comprehensive review currently available COVID-19 diagnostics, exploring their pros cons well indications. Strategies further optimize safety, speed, ease without compromising accuracy suggested. Access scalable tools continued technologic advances, machine learning smartphone integration, will facilitate control current pandemic preparedness next one.

Language: Английский

Citations

128