In-situ architecting hydrophilic, defect-rich MgMn-MOF on bimetallic oxide loaded biochar for smartphone-operated portable electrochemical-colorimetric dual-mode intelligent sensing of Cu2+ in rice plants DOI
Liping Deng, Pengfei Liu, Hongyu Xiao

et al.

Sensors and Actuators B Chemical, Journal Year: 2025, Volume and Issue: unknown, P. 137859 - 137859

Published: April 1, 2025

Language: Английский

Recent Developments in SERS Microfluidic Chips: From Fundamentals to Biosensing Applications DOI
Shuai Lian, Xiaoqiong Li,

Xuefei Lv

et al.

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

This paper reviews the latest research progress of surface-enhanced Raman spectroscopy (SERS) microfluidic chips in field biosensing. Due to its single-molecule sensitivity, selectivity, minimal or no preprocessing, and immediacy, SERS is considered a promising biosensing technology. However, nondirectional interactions between biological samples substrate, as well fluctuations sample environment temperature during signal acquisition, can affect stability reproducibility signals. Integrating with not only leverages continuous flow, high reaction efficiency, throughput, multifunctionality address challenges applications but also expands scope technology by providing novel on-chip optical detection method. The combination enables complementary advantages both technologies offers highly "combined technology" for starts introducing enhancement mechanisms presents labeled label-free strategies. Based on differences substrate properties, we broadly categorize into colloidal nanoparticle-based fixed substrate-based chips. Finally, review targets such nucleic acids, proteins, small biomolecules, live cells. In conclusion outlook section, summarize faced propose feasible solutions. To better leverage role biosensing, present an future development this combined

Language: Английский

Citations

0
All-Flexible Chronoepifluidic Nanoplasmonic Patch Allows Label-free Sweat Profiling DOI Creative Commons
Ki‐Hun Jeong,

Jaehun Jeon,

Sang-Yeon Lee

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 12, 2025

Abstract Wearable sweat sensors allow non-invasive metabolic profiling for timely intervention in proactive healthcare. However, molecular recognition elements conventional still hinder a comprehensive understanding of an individual's unique physiological profile. Here we report all-flexible chronoepifluidic surface-enhanced Raman spectroscopy (SERS) patch (CEP-SERS patch) label-free profiling. The CEP-SERS features the integration nanoplasmonics and functional microfluidics precise chronological metabolites. An ultrathin fluorocarbon film facilitates large-area nanofabrication plasmonic structures on microfluidic channel via low-temperature solid-state dewetting thin silver film. conformal contact human skin SERS detection diverse metabolites from sequentially sampled sweat. Machine-learned quantification including lactate, uric acid, tyrosine has successfully profiled during assorted physical activities. This can provide new strategy delineating phenotype individuals personalized

Language: Английский

Citations

0
Wearable SERS devices in health management: Challenges and prospects DOI

Biqing Chen,

Jiayin Gao,

Haizhu Sun

et al.

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal Year: 2025, Volume and Issue: 334, P. 125957 - 125957

Published: Feb. 26, 2025

Language: Английский

Citations

0
A homogeneous plasmon-enhanced Raman biosensor integrated with LASSO and deep learning approach to advance label-free and rapid diagnosis of urolithiasis DOI Open Access
Yixin Dai,

Qiyu He,

Chen Yang

et al.

Applied Physics Letters, Journal Year: 2025, Volume and Issue: 126(9)

Published: March 1, 2025

Accurate detection and diagnosis of urolithiasis are critical to follow-up clinical treatments. Current stones commonly relies on on-spot urinalysis assisted with extra gold standard examinations, however, the required hospital testing is cumbersome time-consuming. Here, we develop a homogeneous plasmon-enhanced Raman biosensor integrated least absolute shrinkage selection operator (LASSO) method an artificial neural network (ANN) algorithm, namely LASSO-ANN-PERB, sensitively assess spectroscopic variations human urine samples for label-free rapid stone screening. In practical scenario loaded low-volume features from healthy subjects patients, realizes excellent identification accuracy as well can largely shorten time consumption throughout workflow. These practically demonstrated merits suggest potential unique ability enable noninvasive fluid biopsy further development diagnostics, which may promisingly advance existing routine toward convenient one.

Language: Английский

Citations

0
In-situ architecting hydrophilic, defect-rich MgMn-MOF on bimetallic oxide loaded biochar for smartphone-operated portable electrochemical-colorimetric dual-mode intelligent sensing of Cu2+ in rice plants DOI
Liping Deng, Pengfei Liu, Hongyu Xiao

et al.

Sensors and Actuators B Chemical, Journal Year: 2025, Volume and Issue: unknown, P. 137859 - 137859

Published: April 1, 2025

Language: Английский

Citations

0