We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Portable Nanoplasmonic Imager Detects Sepsis Faster

By MedImaging International staff writers
Posted on 05 Feb 2020
Print article
Image: A nano-scale optical biosensor can rapidly detect sepsis (Photo courtesy of EPFL)
Image: A nano-scale optical biosensor can rapidly detect sepsis (Photo courtesy of EPFL)
A highly portable device based on a nano-scale optical biosensor can rapidly detect inflammatory biomarkers in a patient's bloodstream.

Developed at Ecole Polytechnique Fédérale de Lausanne (EPFL; Switzerland), Hospital Universitari Vall dHebron (Barcelona, Spain), and Universitat Autònoma de Barcelona (UAB, Spain), the new device employs a gold-based metasurface that concentrates light around billions of nanoholes. Nanoparticles that capture the sepsis biomarkers procalcitonin (PCT) and C‐reactive protein (CRP) are distributed on the metasurface, and those that have captured biomarkers are trapped in the nanoholes. When an LED is applied, they partially obstruct the light passing through the perforated metasurface, allowing detection with a CMOS camera.

In field studies with a wide range of patient samples with sepsis, noninfectious systemic inflammatory response syndrome (SIRS), and healthy subjects, the device achieves an outstanding limit of detection of 21.3 pg mL−1 for PCT and 36 pg mL−1 for CRP. The results were validated against clinical diagnosis and currently used immunoassays, providing a performance level equivalent to the gold‐standard laboratory tests. Importantly, the plasmonic imager can enable identification of PCT levels typical of sepsis and SIRS patients in less than 15 minutes. The study was published on January 23, 2020, in Small.

“The device proved to be particularly suitable for on‐site operation due to its portability, inexpensive off‐the‐shelf optical components, and because it does not involve any moving parts or complex microfluidic elements prone to clogging,” concluded lead author Alexander Belushkin, PhD, of the EPFL Institute of BioEngineering, and colleagues. “Importantly, the sensor chips and bioassay reagents can be stored in the fridge stably over weeks and unlike previously reported optical detection schemes, do not require fluorescent tags that can be expensive, unstable, and difficult to produce.”

Sepsis is the primary cause of death in hospitals, and one of the ten leading causes of death worldwide, claiming a life every four seconds. It is associated with the body's inflammatory response to a bacterial infection and progresses extremely rapidly: every hour that goes by before it is properly diagnosed and treated increases the mortality rate by nearly 8%. Time is critical with sepsis, but the tests currently used in hospitals can take up to 72 hours to provide a diagnosis.

Related Links:
Ecole Polytechnique Fédérale de Lausanne
Hospital Universitari Vall dHebron
Universitat Autònoma de Barcelona


New
Gold Member
X-Ray QA Meter
T3 AD Pro
Ultrasound Color LCD
U156W
New
Imaging Table
CFPM201
New
Doppler String Phantom
CIRS Model 043A

Print article
Radcal

Channels

Radiography

view channel
Image: The new X-ray detector produces a high-quality radiograph (Photo courtesy of ACS Central Science 2024, DOI: https://doi.org/10.1021/acscentsci.4c01296)

Highly Sensitive, Foldable Detector to Make X-Rays Safer

X-rays are widely used in diagnostic testing and industrial monitoring, from dental checkups to airport luggage scans. However, these high-energy rays emit ionizing radiation, which can pose risks after... Read more

MRI

view channel
Image: Artificial intelligence models can be trained to distinguish brain tumors from healthy tissue (Photo courtesy of 123RF)

AI Can Distinguish Brain Tumors from Healthy Tissue

Researchers have made significant advancements in artificial intelligence (AI) for medical applications. AI holds particular promise in radiology, where delays in processing medical images can often postpone... Read more

Nuclear Medicine

view channel
Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)

AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer

Immunotherapy has significantly advanced the treatment of primary lung cancer, but it can sometimes lead to a severe side effect known as interstitial lung disease. This condition is characterized by lung... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.