Keyword search (4,163 papers available)

"Detection" Keyword-tagged Publications:

Title Authors PubMed ID
1 Impact of COVID-19 on incidence and trends of adverse events among hospitalised patients in Calgary, Canada: a retrospective chart review study Wu G; Eastwood CA; Cheligeer C; Southern DA; Zeng Y; Ghali WA; Bakal JA; Boussat B; Flemons W; Forster A; Xu Y; Quan H; 41592994
CONCORDIA
2 Reliability of Comprehensive Facial Soft Tissue Landmark Detection and Analysis Using Frontal View Photographs Hassanzadeh-Samani S; Pirayesh Z; Motie P; Ghorbanimehr MS; Farzan A; Mohammad-Rahimi H; Behnaz M; Motamedian SR; 40975629
ENCS
3 Microfluidic Liquid Biopsy Minimally Invasive Cancer Diagnosis by Nano-Plasmonic Label-Free Detection of Extracellular Vesicles: Review Neriya Hegade KP; Bhat RB; Packirisamy M; 40650129
ENCS
4 Real-time motion detection using dynamic mode decomposition Mignacca M; Brugiapaglia S; Bramburger JJ; 40421310
MATHSTATS
5 All-Inclusive Sensing Tablet with Integrated Passive Mixer for Ultraviscous Solutions Safiabadi Tali SH; Al-Kassawneh M; Mansouri M; Sadiq Z; Jahanshahi-Anbuhi S; 40327804
ENCS
6 Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism Cheligeer C; Southern DA; Yan J; Wu G; Pan J; Lee S; Martin EA; Jafarpour H; Eastwood CA; Zeng Y; Quan H; 40105654
ENCS
7 Face Boundary Formulation for Harmonic Models: Face Image Resembling Huang HT; Li ZC; Wei Y; Suen CY; 39852327
CONCORDIA
8 Semantically-Enhanced Feature Extraction with CLIP and Transformer Networks for Driver Fatigue Detection Gao Z; Chen X; Xu J; Yu R; Zhang H; Yang J; 39771685
ENCS
9 Non-invasive paper-based sensors containing rare-earth-doped nanoparticles for the detection of D-glucose López-Peña G; Ortiz-Mansilla E; Arranz A; Bogdan N; Manso-Silván M; Martín Rodríguez E; 38729020
CHEMBIOCHEM
10 Brain tumor detection based on a novel and high-quality prediction of the tumor pixel distributions Sun Y; Wang C; 38493601
ENCS
11 Tailoring plasmonic sensing strategies for the rapid and sensitive detection of hypochlorite in swimming water samples Sadiq Z; Al-Kassawneh M; Safiabadi Tali SH; Jahanshahi-Anbuhi S; 38451315
ENCS
12 Deep learning approach to security enforcement in cloud workflow orchestration El-Kassabi HT; Serhani MA; Masud MM; Shuaib K; Khalil K; 36691661
ENCS
13 Unique Photoactivated Time-Resolved Response in 2D GeS for Selective Detection of Volatile Organic Compounds Mohammadzadeh MR; Hasani A; Jaferzadeh K; Fawzy M; De Silva T; Abnavi A; Ahmadi R; Ghanbari H; Askar A; Kabir F; Rajapakse RKND; Adachi MM; 36658730
PHYSICS
14 Gold Nanoparticles-Based Colorimetric Assays for Environmental Monitoring and Food Safety Evaluation Sadiq Z; Safiabadi Tali SH; Hajimiri H; Al-Kassawneh M; Jahanshahi-Anbuhi S; 36629748
ENCS
15 Stable Cavitation-Mediated Delivery of miR-126 to Endothelial Cells He S; Singh D; Yusefi H; Helfield B; 36559150
BIOLOGY
16 Novelty detection in rover-based planetary surface images using autoencoders Stefanuk B; Skonieczny K; 36313243
ENCS
17 A Deep Learning Approach to Capture the Essence of Candida albicans Morphologies Bettauer V; Costa ACBP; Omran RP; Massahi S; Kirbizakis E; Simpson S; Dumeaux V; Law C; Whiteway M; Hallett MT; 35972285
BIOLOGY
18 Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection Rjoub G; Wahab OA; Bentahar J; Cohen R; Bataineh AS; 35875592
ENCS
19 Microfluidic Platforms for the Isolation and Detection of Exosomes: A Brief Review Raju D; Bathini S; Badilescu S; Ghosh A; Packirisamy M; 35630197
ENCS
20 Knowledge distillation approach towards melanoma detection Khan MS; Alam KN; Dhruba AR; Zunair H; Mohammed N; 35594685
CONCORDIA
21 Extending Effective Dynamic Range of Hyperspectral Line Cameras for Short Wave Infrared Imaging Shaikh MS; Jaferzadeh K; Thörnberg B; 35270968
ENCS
22 Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images Bourouis S; Alharbi A; Bouguila N; 34460578
ENCS
23 X-Vectors: New Quantitative Biomarkers for Early Parkinson's Disease Detection From Speech Jeancolas L; Petrovska-Delacrétaz D; Mangone G; Benkelfat BE; Corvol JC; Vidailhet M; Lehéricy S; Benali H; 33679361
PERFORM
24 A comparative analysis of deep learning architectures on high variation malaria parasite classification dataset. Rahman A, Zunair H, Reme TR, Rahman MS, Mahdy MRC 33465520
ENCS
25 Bound detergent molecules in bacterial reaction centers facilitate detection of tetryl explosive. Modafferi D, Zazubovich V, Kálmán L 32632533
PHYSICS
26 Two-stage ultrasound image segmentation using U-Net and test time augmentation. Amiri M; Brooks R; Behboodi B; Rivaz H; 32350786
IMAGING
27 How do landscape context and fences influence roadkill locations of small and medium-sized mammals? Plante J, Jaeger JAG, Desrochers A 30711836
GEOGRAPHY
28 Cluster based statistical feature extraction method for automatic bleeding detection in wireless capsule endoscopy video. Ghosh T, Fattah SA, Wahid KA, Zhu WP, Ahmad MO 29407997
IMAGING
29 Detection of abnormal resting-state networks in individual patients suffering from focal epilepsy: an initial step toward individual connectivity assessment. Dansereau CL, Bellec P, Lee K, Pittau F, Gotman J, Grova C 25565949
PERFORM
30 Detection and Magnetic Source Imaging of Fast Oscillations (40-160 Hz) Recorded with Magnetoencephalography in Focal Epilepsy Patients. von Ellenrieder N, Pellegrino G, Hedrich T, Gotman J, Lina JM, Grova C, Kobayashi E 26830767
PERFORM

 

Title:Tailoring plasmonic sensing strategies for the rapid and sensitive detection of hypochlorite in swimming water samples
Authors:Sadiq ZAl-Kassawneh MSafiabadi Tali SHJahanshahi-Anbuhi S
Link:https://pubmed.ncbi.nlm.nih.gov/38451315/
DOI:10.1007/s00604-024-06246-y
Publication:Mikrochimica acta
Keywords:Concentrated nanogoldDextran-gold nanoparticlesHypochlorite detectionPlasmonic sensorSwimming waterTunable limit of detection
PMID:38451315 Category: Date Added:2024-03-07
Dept Affiliation: ENCS
1 Department of Chemical and Materials Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montréal, Québec, Canada.
2 Department of Chemical and Materials Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montréal, Québec, Canada. sana.anbuhi@concordia.ca.

Description:

A tunable plasmonic sensor has been developed by varying the dextran content in the initially synthesized dextran-gold nanoparticle (dAuNPs) solution. A colloidal nanogold solution (dAuNPs-Sol) was initially prepared using dextran and gold salt in alkaline media by a one-pot green synthetic route. The dAuNPs-Sol was combined with varying amounts of dextran (ranging from 0.01 to 30.01%) to create a tunable probe, along with different solid formats, including tablet (dAuNPs-Tab), powder (dAuNPs-Powder), and composite (dAuNPs-Comp). Both the liquid and solid phase plasmonic probes were characterized using UV-vis spectroscopy, transmission electron microscopy (TEM) dynamic light scattering (DLS), and zeta potential analysis. The impact of dextran content in the dAuNP solution is studied in terms of surface charge and hydrodynamic size. The influence of operational treatments used to achieve solid dAuNPs probes is also explored. All plasmonic probes were employed to detect a broad range of OCl¯ concentrations (ranging from µM to mM) in water through aggregation followed by calculating a lower and upper limit of detection (LLoD, ULoD) of the proposed colorimetric sensors. Results indicate that the most sensitive detection is achieved with a lower dextran content (0.01%), which exhibits an LLoD of 50 µM. The dAuNPs-Sol sensor is selective and demonstrates real-world applicability, as confirmed by interference analysis and successful testing with various water samples. Additionally, it is found that a 20 × concentration of dextran-coated gold nanoparticles could be attained without any changes in the particle morphology. This concentration is achieved through a straightforward process that does not require the use of a centrifuge machine. This finding highlights the practicality and simplicity of the method, indicating its potential for scalable and cost-effective production of concentrated dAuNPs without compromising their structural integrity.





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