scholarly journals Label-free impedance biosensors for Point-of-Care diagnostics

2017 ◽  
pp. 171-201
Author(s):  
Cheng-Hsin Chuang ◽  
Muhammad Omar Shaikh
Keyword(s):  
Point Of Care ◽  
Label Free ◽  
Point Of Care Diagnostics

scholarly journals Microfluidics-Based Plasmonic Biosensing System Based on Patterned Plasmonic Nanostructure Arrays

Micromachines ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 826
Author(s):  
Yanting Liu ◽  
Xuming Zhang
Keyword(s):  
Plasmon Resonance ◽  
Point Of Care ◽  
Simultaneous Detection ◽  
High Sensitivity ◽  
Microfluidic Chips ◽  
Label Free ◽  
Plasmonic Nanostructure ◽  
Point Of Care Diagnostics ◽  
Surface Enhanced Raman ◽  
Nanostructure Arrays

This review aims to summarize the recent advances and progress of plasmonic biosensors based on patterned plasmonic nanostructure arrays that are integrated with microfluidic chips for various biomedical detection applications. The plasmonic biosensors have made rapid progress in miniaturization sensors with greatly enhanced performance through the continuous advances in plasmon resonance techniques such as surface plasmon resonance (SPR) and localized SPR (LSPR)-based refractive index sensing, SPR imaging (SPRi), and surface-enhanced Raman scattering (SERS). Meanwhile, microfluidic integration promotes multiplexing opportunities for the plasmonic biosensors in the simultaneous detection of multiple analytes. Particularly, different types of microfluidic-integrated plasmonic biosensor systems based on versatile patterned plasmonic nanostructured arrays were reviewed comprehensively, including their methods and relevant typical works. The microfluidics-based plasmonic biosensors provide a high-throughput platform for the biochemical molecular analysis with the advantages such as ultra-high sensitivity, label-free, and real time performance; thus, they continue to benefit the existing and emerging applications of biomedical studies, chemical analyses, and point-of-care diagnostics.

scholarly journals Polysaccharide Multilayer Films in Sensors for Detecting Prostate Tumor Cells Based on Hyaluronan-CD44 Interactions

Cells ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 1563 ◽  
Author(s):  
João Batista Maia Rocha Neto ◽  
Andrey Coatrini Soares ◽  
Rogério Aparecido Bataglioli ◽  
Olívia Carr ◽  
Carlos Alberto Rodrigues Costa ◽  
...  
Keyword(s):  
Tumor Cells ◽  
Point Of Care ◽  
Prostate Tumor ◽  
Layer By Layer ◽  
Label Free ◽  
Point Of Care Diagnostics ◽  
Lbl Films ◽  
Prostatic Tumor ◽  
Prostate Tumor Cells

The increasing need for point-of-care diagnosis has sparked the development of label-free sensing platforms, some of which are based on impedance measurements with biological cells. Here, interdigitated electrodes were functionalized with layer-by-layer (LbL) films of hyaluronan (HA) and chitosan (CHI) to detect prostatic tumor cells (PC3 line). The deposition of LbL films was confirmed with atomic force microscopy and polarization-modulated infrared reflection absorption spectroscopy (PM-IRRAS), which featured the vibrational modes of the HA top layer capable of interacting specifically with glycoprotein CD44 receptors overexpressed in tumor cells. Though the CHI/HA LbL films cannot be considered as a traditional biosensor due to their limited selectivity, it was possible to distinguish prostate tumor cells in the range from 50 to 600 cells/µL in in vitro experiments with impedance spectroscopy. This was achieved by treating the impedance data with information visualization methods, which confirmed the distinguishing ability of the films by observing the absence of false positives in a series of control experiments. The CD44–HA interactions may, therefore, be exploited in clinical analyses and point-of-care diagnostics for cancer, particularly if computational methods are used to process the data.

Label-Free and Recalibrated Multilayer MoS2 Biosensor for Point-of-Care Diagnostics

2017 ◽  
Vol 9 (50) ◽  
pp. 43490-43497 ◽  
Author(s):  
Heekyeong Park ◽  
Gyuchull Han ◽  
Sang Woo Lee ◽  
Hyungbeen Lee ◽  
Seok Hwan Jeong ◽  
...  
Keyword(s):  
Point Of Care ◽  
Label Free ◽  
Point Of Care Diagnostics

Plasmonic and label-free real-time quantitative PCR for point-of-care diagnostics

The Analyst ◽  
2021 ◽  
Author(s):  
Padideh Mohammadyousef ◽  
Miltiadis Paliouras ◽  
Mark Trifiro ◽  
Andrew Kirk
Keyword(s):  
Pathogen Detection ◽  
Point Of Care ◽  
Medical Community ◽  
Molecular Diagnostic ◽  
Label Free ◽  
Chain Reaction ◽  
Real Time Quantitative Pcr ◽  
Point Of Care Diagnostics ◽  
Polymerase Chain ◽  
Infectious Pathogen

In response to the world’s medical community need for accurate and immediate infectious pathogen detection, many researchers have focused on adapting the standard molecular diagnostic method of polymerase chain reaction...

scholarly journals Label-free plasmonic biosensors for point-of-care diagnostics: a review

2018 ◽  
Vol 19 (1) ◽  
pp. 71-81 ◽  
Author(s):  
Maria Soler ◽  
Cesar S. Huertas ◽  
Laura M. Lechuga
Keyword(s):  
Point Of Care ◽  
Label Free ◽  
Point Of Care Diagnostics

scholarly journals COVID-19 Point-of-Care Diagnostics: Present and Future

ACS Nano ◽  
2021 ◽  
Author(s):  
Enrique Valera ◽  
Aaron Jankelow ◽  
Jongwon Lim ◽  
Victoria Kindratenko ◽  
Anurup Ganguli ◽  
...  
Keyword(s):  
Point Of Care ◽  
Point Of Care Diagnostics

scholarly journals 145 Point of care lung ultrasound in patient triage: integration of ultrasound into a streaming pathway for COVID-19

2020 ◽  
Vol 37 (12) ◽  
pp. 839.1-839
Author(s):  
Dominic Craver ◽  
Aminah Ahmad ◽  
Anna Colclough
Keyword(s):  
Point Of Care ◽  
District General Hospital ◽  
Training Programme ◽  
Service Evaluation ◽  
University Hospital ◽  
Junior Doctors ◽  
Point Of Care Ultrasound ◽  
Face To Face ◽  
Point Of Care Diagnostics ◽  
Audit Data

Aims/Objectives/BackgroundRapid risk stratification of patients is vital for Emergency Department (ED) streaming during the COVID-19 pandemic. Ideally, patients should be split into red (suspected/confirmed COVID-19) and green (non COVID-19) zones in order to minimise the risk of patient-to-patient and patient-to-staff transmission. A robust yet rapid streaming system combining clinician impression with point-of-care diagnostics is therefore necessary.Point of care ultrasound (POCUS) findings in COVID-19 have been shown to correlate well with computed tomography (CT) findings, and it therefore has value as a front-door diagnostic tool. At University Hospital Lewisham (a district general hospital in south London), we recognised the value of early POCUS and its potential for use in patient streaming.Methods/DesignWe developed a training programme, ‘POCUS for COVID’ and subsequently integrated POCUS into streaming of our ED patients. The training involved Zoom lectures, a face to face practical, a 10 scan sign off process followed by a final triggered assessment. Patient outcomes were reviewed in conjunction with their scan reports.Results/ConclusionsCurrently, we have 21 ED junior doctors performing ultrasound scans independently, and all patients presenting to our department are scanned either in triage or in the ambulance. A combination of clinical judgement and scan findings are used to stream the patient to an appropriate area.Service evaluation with analysis of audit data has found our streaming to be 94% sensitive and 79% specific as an indicator of COVID 19. Further analysis is ongoing.Here we present both the structure of our training programme and our integrated streaming pathway along with preliminary analysis results.

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