A Novel Machine Learning-enhanced Microfluidic CircRNAs Detection Platform for Breast Cancer Precision Diagnosis DOI
Lei Mou, Xinyu Zhang,

Zixin Lin

et al.

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

Published: May 7, 2025

Abstract The discovery and favourable detection of breast cancer biomarkers are significant for diagnosis. Here, we show that hsa_circ_044235 hsa_circ_000250 effective Moreover, present an integrated electrochemical microfluidic circRNAs platform (ECMCDP) combined gold platinum nanoparticles (AuPts)-modified screen-printed electrodes (SPEs), catalytic hairpin assembly (CHA), chip a customed low-power electronic system simultaneous two cancer-associated circRNAs. limit (LOD) were 0.12 fM 0.1 fM, the diagnostic accuracy 92.50% 88.75% in clinical blood samples, respectively. was validated using paired pre-/post-operative tissue samples. Combined with five machine learning-based models, ensemble diagnosis model achieved high 93.75%. This work aims to identify novel establish innovative improve support prognosis assessment.

Language: Английский

A fully integrated, non-invasive, and multimodal wearable device for sweat stimulation, collection and multiple physiological signals analysis DOI
Yuetao Zhang, Zijie Li, Xuejiao Fan

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 159209 - 159209

Published: Jan. 1, 2025

Language: Английский

Citations

2
Enhanced detection of Cystatin C for predicting adverse outcomes in gestational diabetes mellitus using a point-of-care immunosensor DOI

Ya Jin,

Yongmei Chen, Xiaoqin Li

et al.

Bioelectrochemistry, Journal Year: 2025, Volume and Issue: 163, P. 108907 - 108907

Published: Jan. 13, 2025

Language: Английский

Citations

1
MXene-Based Electrochemical Biosensors: Advancing Detection Strategies for Biosensing (2020–2024) DOI Creative Commons
Joydip Sengupta, Chaudhery Mustansar Hussain

Biosensors, Journal Year: 2025, Volume and Issue: 15(3), P. 127 - 127

Published: Feb. 20, 2025

MXenes, a class of two-dimensional materials, have emerged as promising candidates for developing advanced electrochemical biosensors due to their exceptional electrical conductivity, large surface area, and rich chemistry. These unique properties enable high sensitivity, rapid response, versatile functionalization, making MXene-based highly suitable detecting biomolecules pathogens in biomedical applications. This review explores recent advancements from 2020 2024, focusing on design principles, fabrication strategies, integration with microfluidic platforms enhanced performance. The potential MXene sensors achieve real-time multiplexed detection is highlighted, alongside the associated challenges. Emphasis placed role MXenes addressing critical needs disease diagnostics, personalized medicine, point-of-care testing, providing insights into future trends transformative possibilities field sensing technologies.

Language: Английский

Citations

0
Recent advances in nano-enhanced biosensors: Innovations in design, applications in healthcare, environmental monitoring, and food safety, and emerging research challenges DOI Creative Commons
Mohamed Hemdan,

Khaled Abuelhaded,

A. A. Shaker

et al.

Sensing and Bio-Sensing Research, Journal Year: 2025, Volume and Issue: unknown, P. 100783 - 100783

Published: April 1, 2025

Language: Английский

Citations

0
A Gold Nanoparticles and MXene Nanocomposite Based Electrochemical Sensor for Point-of-Care Monitoring of Serum Biomarkers DOI
Yongmei Chen, Xinyu Zhang, Yan Liu

et al.

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

Published: April 22, 2025

The development of portable, cost-effective, and highly sensitive biosensors for real-time biomarker detection is crucial advancing point-of-care testing (POCT) wearable health monitoring. Here, we present an integrated portable electrochemical sensor (ip-ECS) that combines gold nanoparticles (AuNPs) MXene-modified screen-printed electrodes (SPEs) with a custom-designed, low-power electronic system monitoring serum biomarkers. AuNPs MXene nanocomposite significantly enhances the performance SPE by providing high density active sites, improved conductivity, catalytic activity. two model molecules (DA UA) validated feasibility ip-ECS, achieving limits as low 1.12 1.11 μM UA DA, respectively. Furthermore, ip-ECS was successfully applied to detect Cys C in human serum, showing linear response range 50-5000 ng/mL strong correlation (ρ = 0.9556) conventional latex immunoturbidimetry (LIA). Clinical validation using samples from pregnant women revealed elevated levels gestational diabetes mellitus (GDM) patients, highlighting sensor's potential early GDM risk prediction. represents significant step forward next-generation POCT, diagnostics, personalized medicine.

Language: Английский

Citations

0
A Novel Machine Learning-enhanced Microfluidic CircRNAs Detection Platform for Breast Cancer Precision Diagnosis DOI
Lei Mou, Xinyu Zhang,

Zixin Lin

et al.

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

Published: May 7, 2025

Abstract The discovery and favourable detection of breast cancer biomarkers are significant for diagnosis. Here, we show that hsa_circ_044235 hsa_circ_000250 effective Moreover, present an integrated electrochemical microfluidic circRNAs platform (ECMCDP) combined gold platinum nanoparticles (AuPts)-modified screen-printed electrodes (SPEs), catalytic hairpin assembly (CHA), chip a customed low-power electronic system simultaneous two cancer-associated circRNAs. limit (LOD) were 0.12 fM 0.1 fM, the diagnostic accuracy 92.50% 88.75% in clinical blood samples, respectively. was validated using paired pre-/post-operative tissue samples. Combined with five machine learning-based models, ensemble diagnosis model achieved high 93.75%. This work aims to identify novel establish innovative improve support prognosis assessment.

Language: Английский

Citations

0