TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 118122 - 118122
Published: Dec. 1, 2024
Language: Английский
ACS Sensors, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 12, 2025
Pathogenic bacterial infections pose a significant threat to human life, health, and socioeconomic development, with those arising from Escherichia coli (E. coli) O157:H7 being particularly concerning. Herein, customized aggregation-induced emission luminogens (AIEgen)-based signaling tags (TPA-galactose) were combined microfluidic chip for the determination of E. O157:H7. TPA-galactose undergoes hydrolysis by β-galactosidase, resulting in formation highly fluorescent TPA–OH AIE characteristics. Phages covalently bound surface magnetic beads specifically capture lyse O157:H7, releasing endogenous fluorescence intensity facilitates The process achieves sensitivity 45 CFU/mL min, requiring no DNA extraction or amplification, utilizing minimal sample volume, enabling accurate one-stop quantification live This strategy enables rapid on-site environmental, food, clinical samples, significantly enhancing public health safety.
Language: Английский
Citations
1
TrAC Trends in Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 118130 - 118130
Published: Jan. 1, 2025
Language: Английский
Citations
0
Food Reviews International, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 25
Published: April 30, 2025
Language: Английский
Citations
0
Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 24, 2025
Digital fluorescence immunoassay (DFI) based on random dispersion magnetic beads (MBs) is one of the powerful methods for ultrasensitive determination protein biomarkers. However, in DFI, improving limit detection (LOD) challenging since ratio signal-to-background and speed manual counting are low. Herein, we developed a deep-learning network (ATTBeadNet) by utilizing new hybrid attention mechanism within UNet3+ framework accurately fast MBs proposed DFI using CdS quantum dots (QDs) with narrow peak optical stability as reported at first time. The ATTBeadNet was applied to MBs, resulting F1 score (95.91%) being higher than those other (ImageJ, 68.33%; computer vision-based, 92.99%; fully convolutional network, 75.00%; mask region-based neural 70.34%). On principle-on-proof, sandwich MB-based proposed, which human interleukin-6 (IL-6) taken model biomarker, while antibody-bound streptavidin-coated were used capture antibody-HRP-tyramide-functionalized QDs binding reporter. When IL-6 (20 μL), linear range from 5 100 fM an LOD 3.1 achieved, better ImageJ method (linear 30 20 fM). This work demonstrates that integration promising strategy highly sensitive accurate
Language: Английский
Citations
0
Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 27, 2025
Timely and accurate detection of trace mycotoxins in agricultural products food is significant for ensuring safety public health. Herein, a deep learning-assisted entropy-driven catalysis (EDC)-Argonaute powered fluorescence single-particle aptasensing platform was developed ultrasensitive fumonisin B1 (FB1) using single-stranded DNA modified with biotin red fluorescence-encoded microspheres as signal probe streptavidin-conjugated magnetic beads separation carriers. The binding aptamer FB1 releases the trigger sequence to mediate EDC cycle produce numerous 5′-phosphorylated output sequences, which can be used guide activate downstream Thermus thermophilus Argonaute (TtAgo) cleaving probe, resulting increased number remaining final reaction supernatant after separation. Subsequently, through fast counting bright particles captured confocal images from via YOLOv9 learning model, sensitive specific could realized. This approach has limit (LOD) 0.89 pg/mL linear range 1 100 ng/mL, satisfactory recovery (87.2–113.5%) real samples indicates its practicality. integration TtAgo broadens target enhances sensitivity. Furthermore, incorporating significantly improves analytical efficiency detection. work provides promising strategy biosensing promotes application monitoring.
Language: Английский
Citations
0
Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown
Published: March 27, 2025
Pathogenic Escherichia coli (E. coli) is a widespread and clinically significant foodborne pathogen. Due to its high mutation rates phenotypic diversity, rapid identification of subtypes remains challenging prone false positives when detecting single strains. In this study, we developed plasmonic sensor array with high-dimensional signal readouts (ζ-potential, dynamic light-scattering (DLS), surface-enhanced Raman scattering (SERS), ultraviolet-visible (UV-vis) absorption spectra) for the selective discrimination pathogenic E. coli, integrated bacterial culture methods. The units demonstrated strong encoding capabilities, facilitating differentiation subtle variations among various strains showing excellent anti-interference performance. realized different strains, mixture identification, even quantitative detection. Remarkably, working concentration was notably low, at 104 CFU/mL. Finally, by incorporating isolation culture, designed obtained 100% accuracy in real food samples. These findings highlight array's potential applications safety monitoring clinical diagnostics, offering sensitive, rapid, reliable tool pathogen detection complex
Language: Английский
Citations
0
TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 118122 - 118122
Published: Dec. 1, 2024
Language: Английский
Citations
1