Nanoscopic technologies toward molecular profiling of single extracellular vesicles for cancer liquid biopsy DOI Creative Commons
Mahsa Jalali, Yao Lu, Carolina del Real Mata

et al.

Applied Physics Reviews, Journal Year: 2025, Volume and Issue: 12(1)

Published: Feb. 3, 2025

Extracellular vesicles (EVs) have emerged as promising cancer biomarkers due to their encapsulation of molecular signals reflective originating tumor cells. Conventional analytical methods often fall short in comprehensive EV profiling, necessitating innovative approaches for enhanced sensitivity and selectivity. This review focuses on the utilization nanoplasmonic structures optical signal detection EVs, exploring advancements, challenges, future prospects toward single profiling. Nanoplasmonic offer readout capabilities, leveraging light iridescence, plasmonic amplification suitable size range complexity EVs. We delve into research implications on-chip methods, shedding EVs' role health disease. Despite notable progress, opportunities still exist further develop arrays, customizing them bioanalytes interest, crucial both label-free labeled techniques attain objectives One such example is use specific antibodies surface functionalization arrays. Other involve tailoring design platforms physical properties target thereby enhancing characterization capabilities. The subsequent sections will cover a curated selection relevant studies. later discuss analysis through nanoarrays clinical sample scenarios. While patterning colloidal self-assembly e-beam lithography, enable integration with microfluidic systems, facilitating investigations, few technologies entered trials. roadblock highlights need development cost-effective, detailed profiling methods. Moreover, we avenues like machine learning address challenges related heterogeneity EVs liquid biopsy biomarkers. Finally, developing nanoplasmonic-assisted studied driving advancements diagnostic therapeutic realms, customizable coupled artificial intelligence modules, path forward precise which may personalized interventions.

Language: Английский

Recent advances in point-of-care testing of COVID-19 DOI
Sungwoon Lee, Liyan Bi, Hao Chen

et al.

Chemical Society Reviews, Journal Year: 2023, Volume and Issue: 52(24), P. 8500 - 8530

Published: Jan. 1, 2023

This review explores various point-of-care optical diagnostic systems combined with microdevices developed during the recent COVID-19 pandemic for clinical diagnostics.

Language: Английский

Citations

42

Colorimetric sensing for translational applications: from colorants to mechanisms DOI
Zhicheng Jin, Wonjun Yim, Maurice Retout

et al.

Chemical Society Reviews, Journal Year: 2024, Volume and Issue: 53(15), P. 7681 - 7741

Published: Jan. 1, 2024

This review summarizes insights into colorant selection and signal mechanisms for the development of colorimetric sensing POC sensors.

Language: Английский

Citations

36

Fully integrated and automated centrifugal microfluidic chip for point-of-care multiplexed molecular diagnostics DOI

Yujin Xiao,

Mengfan Zhou,

Changgen Liu

et al.

Biosensors and Bioelectronics, Journal Year: 2024, Volume and Issue: 255, P. 116240 - 116240

Published: March 28, 2024

Language: Английский

Citations

25

Empowerment of AI algorithms in biochemical sensors DOI

Zhongzeng Zhou,

Tailin Xu, Xueji Zhang

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: 173, P. 117613 - 117613

Published: Feb. 29, 2024

Language: Английский

Citations

23

Designing nanotheranostics with machine learning DOI
Lang Rao, Yuan Yuan, Xi Shen

et al.

Nature Nanotechnology, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 3, 2024

Language: Английский

Citations

20

Nanotechnology-leveraged nucleic acid amplification for foodborne pathogen detection DOI
Ruijie Deng, Jinrong Bai, Hao Yang

et al.

Coordination Chemistry Reviews, Journal Year: 2024, Volume and Issue: 506, P. 215745 - 215745

Published: Feb. 21, 2024

Language: Английский

Citations

15

An Ion Concentration Polarization Microplatform for Efficient Enrichment and Analysis of ctDNA DOI
Zhiying Wang, Ming Liu, Haocheng Lin

et al.

ACS Nano, Journal Year: 2024, Volume and Issue: 18(4), P. 2872 - 2884

Published: Jan. 18, 2024

Strategies for rapid, effective nucleic acid processing hold tremendous significance to the clinical analysis of circulating tumor DNA (ctDNA), a family important markers indicating tumorigenesis and metastasis. However, traditional techniques remain challenging achieve efficient enrichment, further bringing about complicated operation limited detection sensitivity. Here, we developed an ion concentration polarization microplatform that enabled highly enrichment purification ctDNA from variety samples, including serum, urine, feces. The platform demonstrated efficiently separating enriching within 30 s, with 100-fold improvement over methods. Integrating on-chip isothermal amplification module, achieved enhanced sensitivity in detection, which significantly eliminated false-negative results serum or urine samples due low abundance ctDNA. Such simple-designed offers user-friendly yet powerful diagnosis technique wide applicability, ranging early infection screening.

Language: Английский

Citations

14

Metasurfaces for Quantitative Biosciences of Molecules, Cells, and Tissues: Sensing and Diagnostics DOI
Aleksandr Barulin, Dang Du Nguyen,

Yangkyu Kim

et al.

ACS Photonics, Journal Year: 2024, Volume and Issue: 11(3), P. 904 - 916

Published: Feb. 23, 2024

Metasurfaces have revolutionized optical biosensing and diagnostic assays due to their sensitivity, compactness, label-free operation. However, metasurface applications in analyzing complex biological systems quantum bioscience phenomena remain scarce. In this Perspective, we discuss current developments biosensors propose promising future for probing or adopting effects improving spatial omics analysis live cells tissues. We the capabilities of platforms monitoring relevant biomarkers viral diseases, neurodegenerative cancers. Metasurface-empowered examination cell morphology secretome, virus detection, tissue imaging can improve accuracy early diagnosis. Furthermore, review device-integration approaches point-of-care testing settings that could constitute pathways toward technology commercialization. Altogether, provide a perspective exploring precision health medicine.

Language: Английский

Citations

14

Target-Navigated CBT–Cys “Stapling” Coupled with CRISPR/Cas12a Amplification for the Photoelectrochemical Nucleic Acid Assay DOI

Jie Zheng,

Xiaoyu Wang,

Hongqing Qin

et al.

Analytical Chemistry, Journal Year: 2024, Volume and Issue: 96(45), P. 18011 - 18019

Published: Sept. 27, 2024

Generally, rolling circle amplification (RCA) is based on an enzyme-linked padlock extension reaction. Herein, rapid linking that utilizes click chemistry for joining sticky ends of DNA molecules was developed. The nucleic acid were modified with 2-cyano-6-aminobenzothiazole (CBT) and cystine (Cys-Cys), while glutathione introduced to break the disulfide bond under target navigation promote linkage between CBT Cys at terminus pH 7.4. Subsequently, RCA performed using phi29 polymerase. CRISPR/Cas12a cleavage triggered by product amplification. Assisted alkaline phosphatase, electron exchange process photoelectroactive Sb@Co(OH)F nanorod

Language: Английский

Citations

13

Electro‐Optical Multiclassification Platform for Minimizing Occasional Inaccuracy in Point‐of‐Care Biomarker Detection DOI
Changhao Dai, Huiwen Xiong, Rui He

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(15)

Published: Jan. 30, 2024

On-site diagnostic tests that accurately identify disease biomarkers lay the foundation for self-healthcare applications. However, these routinely rely on single-mode signals and suffer from insufficient accuracy, especially multiplexed point-of-care (POCTs) within a few minutes. Here, this work develops dual-mode multiclassification platform integrates an electrochemiluminescence sensor field-effect transistor in microfluidic chip. The channel guides testing samples to flow across electro-optical units, which produce readouts by detecting infectious of tuberculosis (TB), human rhinovirus (HRV), group B streptococcus (GBS). Then, machine-learning classifiers generate three-dimensional (3D) hyperplanes diagnose different diseases. Dual-mode derived distinct mechanisms enhance anti-interference ability physically, machine-learning-aided diagnosis high-dimensional space reduces occasional inaccuracy mathematically. Clinical validation studies with 501 unprocessed indicate has accuracy approaching 99%, higher than 77%-93% rapid technologies at 100% statistical power (>150 clinical tests). Moreover, time is 5 min without trade-off accuracy. This solves issue on-site diagnosis, endowing POCT systems same as laboratory holding unique prospects complicated scenes personalized healthcare.

Language: Английский

Citations

12