Harnessing Surface-Enhanced Raman Spectroscopy for Breath-Based Diagnostics DOI Creative Commons
Ivan Alonso Lujan-Cabrera, Eden Morales‐Narváez

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: May 8, 2025

Human breath contains a myriad of analytes that are associated with human health conditions, making it noninvasive source biomarkers. Researchers and engineers pushing the boundaries analysis for next generation diagnostics. Breath surface enhanced Raman spectroscopy, which allows identification molecular fingerprints in simple way, represents powerful platform sensors expected to provide tools personalized healthcare preventive medicine.

Language: Английский

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

Citations

29
Advancements and Challenges on SERS-based Multimodal Biosensors for Biotoxin Detection DOI
Xuemei Tang,

Huan Jiang,

Ruiming Wen

et al.

Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: 152, P. 104672 - 104672

Published: Aug. 18, 2024

Language: Английский

Citations

7
Breath Analysis via Surface Enhanced Raman Spectroscopy DOI Creative Commons
Adrian Fernández‐Lodeiro, Marios Constantinou, Christoforos Panteli

et al.

ACS Sensors, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 17, 2025

Breath analysis is increasingly recognized as a powerful noninvasive diagnostic technique, and plethora of exhaled volatile biomarkers have been associated with various diseases. However, traditional analytical methodologies are not amenable to high-throughput applications at the point need. An optical spectroscopic surface-enhanced Raman spectroscopy (SERS), mostly used in research setting for liquid sample analysis, has recently applied breath-based diagnostics. This promising tool demonstrated identification diseases, including lung cancer, gastric diabetes. The versatility SERS enabled use different strategies allowed fast accurate detection small analytes breath. In this review, we provide an overview recent advances SERS-based breath focusing on sensors gases organic compounds (VOCs) breath, highlight generic preconcentration methods spectral analysis. We aim state art inspiration further investigation expiration.

Language: Английский

Citations

0
Advances in nanomedicine and delivery systems for gastric cancer research DOI Creative Commons
Sizhe Wang,

Jilei Li,

Zhenyu Zhang

et al.

Frontiers in Bioengineering and Biotechnology, Journal Year: 2025, Volume and Issue: 13

Published: March 21, 2025

The early diagnosis rate of gastric cancer is low, and most patients are already at an advanced stage by the time they diagnosed, posing significant challenges for treatment exhibiting high recurrence rates, which notably diminish patients’ survival quality life. Therefore, there urgent need to identify methods that can enhance efficacy. Nanomedicine, distinguished its small size, targeting specificity, strong biological compatibility, particularly well-suited address toxic side effects associated with current diagnostic therapeutic approaches cancer. Consequently, application nanomedicine delivery systems in has garnered increasing interest from researchers. This review provides overview recent advancements use nanomaterials as drugs or drug research, encompassing their applications diagnosis, chemotherapy, radiotherapy, surgery, phototherapy, explores promising prospects

Language: Английский

Citations

0
Exploring spectroscopy’s impact in pharmaceutical, and biomedical sciences: an insightful review DOI

Anusree S. Gangadharan,

V. M. Adhithya Venu,

T. Daniel Thangadurai

et al.

Applied Spectroscopy Reviews, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 38

Published: April 4, 2025

Language: Английский

Citations

0
Artificial intelligence-driven transformative applications in disease diagnosis technology DOI Creative Commons
Junyu Zhou, Sunmin Park, Sihan Dong

et al.

Medical Review, Journal Year: 2025, Volume and Issue: unknown

Published: April 11, 2025

Abstract The integration of artificial intelligence (AI) in medical diagnostics represents a transformative advancement healthcare, with projected market growth reaching $188 billion by 2030. This comprehensive review examines the latest developments AI-driven diagnostic technologies across multiple disease domains, particularly focusing on cancer, Alzheimer’s (AD), and diabetes. Through systematic bibliometric analysis using GraphRAG methodology, we analyzed research publications from 2022 to 2024, revealing distribution impact AI applications various fields. In cancer diagnostics, systems have achieved breakthrough performances analyzing imaging molecular data, notable advances early detection capabilities 19 different types. For AD diagnosis, AI-powered tools demonstrated up 90 % accuracy risk through non-invasive methods, including speech pattern blood-based biomarkers. diabetes care, AI-integrated incorporating deep neural networks electronic nose technology shown remarkable predicting onset before clinical manifestation. These collectively indicate paradigm shift toward more precise, efficient, accessible approaches. However, challenges remain standardization, data quality, implementation. synthesizes current progress while highlighting potential for revolutionize enhanced accuracy, detection, personalized patient care.

Language: Английский

Citations

0
Harnessing Surface-Enhanced Raman Spectroscopy for Breath-Based Diagnostics DOI Creative Commons
Ivan Alonso Lujan-Cabrera, Eden Morales‐Narváez

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: May 8, 2025

Human breath contains a myriad of analytes that are associated with human health conditions, making it noninvasive source biomarkers. Researchers and engineers pushing the boundaries analysis for next generation diagnostics. Breath surface enhanced Raman spectroscopy, which allows identification molecular fingerprints in simple way, represents powerful platform sensors expected to provide tools personalized healthcare preventive medicine.

Language: Английский

Citations

0