Highly selective optical and naked-eye recognition of L-cystine through spectroscopy and development of cellulose paper nano biosensor test strips for the early diagnosis of cystinuria DOI

Sahiba Khatun,

Priyabrata Mitra,

Sayannita Das

et al.

Microchemical Journal, Journal Year: 2024, Volume and Issue: 206, P. 111479 - 111479

Published: Aug. 23, 2024

Language: Английский

The development and application of SERS-based lateral flow immunochromatography in the field of food safety DOI

Liu Wen-xi,

Fanli Meng, Wenhui Zhong

et al.

Microchimica Acta, Journal Year: 2025, Volume and Issue: 192(4)

Published: March 21, 2025

Language: Английский

Citations

0
Identification of volatile biomarkers in exhaled breath by polythiophene solid phase microextraction fiber for disease diagnosis using GC–MS DOI
Füsun Okçu Pelit, Özlem Göksel,

Tuğberk Nail Dizdaş

et al.

Microchemical Journal, Journal Year: 2024, Volume and Issue: 207, P. 112067 - 112067

Published: Nov. 1, 2024

Language: Английский

Citations

2
Integration of Nanoengineering with Artificial Intelligence and Machine Learning in Surface‐Enhanced Raman Spectroscopy (SERS) for the Development of Advanced Biosensing Platforms DOI Creative Commons
Farbod Ebrahimi, Anjali Kumari, Kristen Dellinger

et al.

Advanced Sensor Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 20, 2024

Abstract Surface‐enhanced Raman spectroscopy (SERS) has emerged as a powerful tool for biomedical diagnosis, combining heightened sensitivity with molecular precision. The integration of artificial intelligence (AI) and machine learning (ML) further elevated its capabilities, refining data interpretation, pattern prediction, bolstering diagnostic accuracy. This review chronicles advancements in SERS diagnostics, emphasizing the collaboration between ML innovative nanostructures, substrates, nanoprobes enhancement. breakthroughs are highlighted SERS‐based point‐of‐care techniques nuanced detection key biomarkers, from nucleic acids to proteins metabolites. article also addresses prevailing challenges, such need standardized methodologies optimized platforms. Moreover, potential portable systems is discussed clinical deployment, well current efforts challenges trials. In essence, this positions fusion nanoengineering, AI, ML, frontier next‐generation diagnostics.

Language: Английский

Citations

2
Highly selective optical and naked-eye recognition of L-cystine through spectroscopy and development of cellulose paper nano biosensor test strips for the early diagnosis of cystinuria DOI

Sahiba Khatun,

Priyabrata Mitra,

Sayannita Das

et al.

Microchemical Journal, Journal Year: 2024, Volume and Issue: 206, P. 111479 - 111479

Published: Aug. 23, 2024

Language: Английский

Citations

0