Publications by authors named "T Vo-Dinh"

Article Synopsis
  • - This study introduces a biosensor that uses spikey nanorattles to enhance surface-enhanced Raman scattering (SERS), aiming to detect mRNA cancer biomarkers like Keratin 14 (KRT14) for early diagnosis of head and neck squamous cell carcinoma (HNSCC).
  • - The biosensor employs a sandwich hybridization method with magnetic beads and SERS spikey nanorattles, achieving an impressive detection limit of 90 femtomolar.
  • - A pilot study confirms the biosensor's effectiveness in differentiating between positive and negative HNSCC diagnoses, showcasing its potential for rapid, sensitive cancer detection in resource-limited environments.
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Article Synopsis
  • The colorimetric lateral flow immunoassay (cLFIA) is a popular point-of-care testing method known for its affordability, quick results, and ease of use, though traditional versions struggle with low sensitivity.
  • This study presents a new approach using bimetallic silver-coated gold nanostars (BGNS) to enhance sensitivity, achieving a detection limit of 13.7 pg/mL for the virulence protein LcrV from the bubonic plague pathogen.
  • The improved cLFIA platform demonstrated excellent stability and was effective at detecting LcrV in human serum, suggesting significant potential for sensitive detection of infectious diseases in clinical settings.
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Wearable sweat sensors hold great potential for offering detailed health insights by monitoring various biomarkers present in sweat, such as glucose, lactate, uric acid, and urea, in real time. However, most previously reported sensors, primarily based on electrochemical technology, are limited to monitoring only a single analyte at a given time. This study introduces a simple, sensitive, wearable patch based on surface-enhanced Raman spectroscopy (SERS), integrated with highly plasmonically active sharp-branched gold nanostars (GNS) for the simultaneous detection of three sweat biomarkers: lactate, urea, and glucose.

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Recently, solution-based surface-enhanced Raman scattering (SERS) detection technique has been widely recognized due to its cost-effectiveness, simplicity, and ease of use. However, solution-based SERS is limited for practical applications mainly because of the weak adsorption affinity of the target biomolecules to the surface of plasmonic nanoparticles. Herein, we developed a highly sensitive solution-based SERS sensing platform based on mercaptopropionic acid (MPA)-capped silver-coated gold nanostars (SGNS@MPA), which allows efficient enrichment on the nanostars surface for improved detection of an analyte: creatinine, a potential biomarker of chronic kidney disease (CKD).

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The intracellular developmental processes in plants, particularly concerning lignin polymer formation and biomass production are regulated by microRNAs (miRNAs). MiRNAs including miR397b are important for developing efficient and cost-effective biofuels. However, traditional methods of monitoring miRNA expression, like PCR, are time-consuming, require sample extraction, and lack spatial and temporal resolution, especially in real-world conditions.

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