Customized AIEgen-Based Molecular Signaling Tags Combined Microfluidic Chip for Point-of-Care Testing Viable E. coli O157:H7

ACS Sensors, Год журнала: 2025, Номер unknown

Опубликована: Фев. 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.

Язык: Английский

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Versatile sensing strategies based on emerging programmable prokaryotic Argonautes: From nucleic acid to non-nucleic acid targets

TrAC Trends in Analytical Chemistry, Год журнала: 2025, Номер unknown, С. 118130 - 118130

Опубликована: Янв. 1, 2025

Язык: Английский

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Deep-Learning-Assisted Digital Fluorescence Immunoassay on Magnetic Beads for Ultrasensitive Determination of Protein Biomarkers

Analytical Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Янв. 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

Язык: Английский

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Deep Learning-Assisted Fluorescence Single-Particle Detection of Fumonisin B₁ Powered by Entropy-Driven Catalysis and Argonaute

Analytical Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Янв. 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.

Язык: Английский

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Identification and Quantification of Multiple Pathogenic Escherichia coli Strains Based on a Plasmonic Sensor Array

Analytical Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Март 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

Язык: Английский

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Machine Learning-Based Smart Technology Enables Precise and Efficient Detection of Food Safety Risks

Food Reviews International, Год журнала: 2025, Номер unknown, С. 1 - 25

Опубликована: Апрель 30, 2025

Язык: Английский

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Thermus thermophilus Argonaute-Mediated Single Particle Counting Platform for Multiplex Cancer-Related Biomarkers Detection

Analytical Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Май 21, 2025

The clustered regularly interspaced short palindromic repeats-Cas (CRISPR-Cas) system has achieved remarkable success in the field of nucleic acid detection, while its Achilles' heel lies difficulties encountered flexibility regarding multiplex detection. As a sister CRISPR-Cas, prokaryotic Argonautes (pAgos) have precise recognition, multiturnover, and more importantly multiple specific cleavage characteristics, which is potential candidate for next generation Herein, single particle counting platform was developed simultaneous detection three colorectal cancer-related miRNAs (miR-141, miR-31, miR-21) by combining inductively coupled plasma mass spectrometry (SP-ICPMS) with Thermus thermophilus Argonaute protein (TtAgo), nanoparticles as signal probes cleavage. demonstrated high sensitivity (aM level) specificity due to dual-cycle mechanism exponential isothermal amplification (EXPAR) TtAgo cleavage, well combination TtAgo's capability advantages metal stable isotope tagging. Additionally, showed good robustness human serum cell extracts, indicating significant clinical applications.

Язык: Английский

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AND Logic Gate-Based Alternating PER-Cas12a Signal Amplification System for Ultrasensitive Detection of sEVs

Talanta, Год журнала: 2025, Номер 295, С. 128411 - 128411

Опубликована: Май 27, 2025

Язык: Английский

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Multiplexed CRISPR/Cas and Argonaute detection technology: strategies, challenges, and perspectives

TrAC Trends in Analytical Chemistry, Год журнала: 2025, Номер unknown, С. 118329 - 118329

Опубликована: Июнь 1, 2025

Язык: Английский

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Advancements of Prokaryotic Argonautes in Molecular Diagnostics and Further Perspectives

TrAC Trends in Analytical Chemistry, Год журнала: 2024, Номер unknown, С. 118122 - 118122

Опубликована: Дек. 1, 2024

Язык: Английский

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