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Multifunctional Nanozyme with Aptamer-Based Ratiometric Fluorescent and Colorimetric Dual Detection of Prostate-Specific Antigen.
ACS Appl Mater Interfaces
January 2025
Key Laboratory for Special Functional Aggregate Materials of Education Ministry, School of Chemistry and Chemical Engineering, Shandong University, Jinan, Shandong 250100, China.
The adsorption of DNA probes onto nanomaterials represents a promising bioassay technique, generally employing fluorescence or catalytic activity to generate signals. A significant challenge is maintaining the catalytic activity of chromogenic catalysts during detection while enhancing accuracy by overcoming the limitations of single-signal transmission. This article presents an innovative multimodal analysis approach that synergistically combines the oxidase-like activity of Fe-N-C nanozyme (Fe-NC) with red fluorescent carbon quantum dots (R-CQDs), further advancing the dual-mode analysis method utilizing R-CQDs@Fe-NC.
View Article and Find Full Text PDFNanoparticle-based colorimetric assays for early and rapid screening of the oncogenic HPV variants 16 and 18.
Clin Chim Acta
January 2025
iÓMICAS Research Institute, Pontificia Universidad Javeriana, Calle 17 # 121B - 155, Cali, Valle del Cauca 760031, Colombia; Chemistry and Chemical Engineering Division, California Institute of Technology, Pasadena, CA 91125, United States. Electronic address:
Cervical cancer is predominantly caused by human papillomavirus (HPV), with oncogenic strains HPV 16 and 18 accounting for most cases worldwide. Prompt and precise identification of these high-risk HPV types is essential for enhancing patient outcomes as it enables timely intervention and management. However, the existing HPV detection techniques are time-consuming, expensive, and require highly skilled personnel.
View Article and Find Full Text PDFProbe-infused polymer monolithic sensor for colorimetric detection of Pb in environmental water samples and tobacco extracts.
J Hazard Mater
January 2025
Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu 632014, India. Electronic address:
This study focuses on developing an affordable and cost-effective colorimetric solid-state optical sensor for target-specific naked-eye detection of Pb, offering significant potential for real-time environmental monitoring and public health applications. The indigenously developed porous polymer monolithic template, poly(lauryl methacrylate-co-ethylene glycol dimethacrylate) (poly(LMC-co-EGDMA) is infused with a chromoionophoric probe, i.e.
View Article and Find Full Text PDFAdvances in Organic Fluorescent and Colorimetric Probes for The Detection of Cu and Their Applications in Cancer Cell Imaging (2020-2024).
Crit Rev Anal Chem
January 2025
Department of Oral & Maxillofacial Surgery and Diagnostic Sciences, Faculty of Dentistry, Taif University, Taif, Saudi Arabia.
Organic fluorescence and colorimetric probes have emerged as vital tools for detecting metal ions, due to their high sensitivity, selectivity, and rapid response times. Copper, an essential trace element, plays a critical role in biological systems, yet its imbalance can lead to severe disorders such as neurodegenerative diseases, cancer, and Wilson's disease. Over the past few years, advancements in probe design have unlocked innovative avenues for not only detecting Cu in environmental and biological samples but also for visualizing its distribution through fluorescence imaging.
View Article and Find Full Text PDFAn ensemble model of machine learning regression techniques and color spaces integrated with a color sensor: application to color-changing biochemical assays.
RSC Adv
January 2025
Department of Chemical and Materials Engineering, University of Alberta Edmonton AB T6G 1H9 Canada
Non-destructive color sensors are widely applied for rapid analysis of various biological and healthcare point-of-care applications. However, existing red, green, blue (RGB)-based color sensor systems, relying on the conversion to human-perceptible color spaces like hue, saturation, lightness (HSL), hue, saturation, value (HSV), as well as cyan, magenta, yellow, key (CMYK) and the CIE L*a*b* (CIELAB) exhibit limitations compared to spectroscopic methods. The integration of machine learning (ML) techniques presents an opportunity to enhance data analysis and interpretation, enabling insights discovery, prediction, process automation, and decision-making.
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