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
Vicotex

Download Mobile App




Spit Test Detects Breast Cancer in Five Seconds

By LabMedica International staff writers
Posted on 19 Feb 2024

Breast cancer is the most commonly diagnosed cancer worldwide, with over 2. More...

3 million new cases and approximately 685,000 deaths reported in 2020. Currently, mammography, ultrasound, MRI, and biopsies are the primary methods for diagnosing breast cancer. Despite their effectiveness, these techniques have several drawbacks, such as high costs, limited accessibility, potential inaccuracies in early detection in young women with dense breast tissue, invasiveness, and radiation exposure risks, especially for radiation-sensitive patients. Given the increasing prevalence of breast cancer in women, there is an urgent need for more innovative and efficient detection methods. Now, a saliva test that screens for breast cancer is showing promising results in experimental testing.

Developed collaboratively by researchers from the University of Florida (Gainesville, FL, USA) and National Yang Ming Chiao Tung University (Hsinchu City, Taiwan), this innovative hand-held device can detect breast cancer biomarkers using just a small saliva sample. The device operates by applying saliva to a test strip treated with specific antibodies that react to cancer biomarkers. It then sends electrical impulses to contact points on the biosensor, measuring signals that are converted into digital data, indicating the level of biomarkers present. This method provides rapid and easily interpretable results.

In trials, the device successfully differentiated between healthy breast tissue, early-stage breast cancer, and advanced breast cancer in a group of 21 women. The non-invasive test could be completed in less than a minute, including the application of a 3–5 μl saliva sample onto the strip, with each test performed 10 times within 15 milliseconds. The design of this biosensor incorporates common elements like glucose testing strips and the Arduino open-source hardware-software platform, making it user-friendly and promising for broad public use in the future.

Related Links:
University of Florida 
Yang Ming Chiao Tung University 


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
Neonatal Heel Incision Device
Tenderfoot
Chromogenic Culture System
InTray™ COLOREX™ ECC
New
Gold Member
Platelet Function Analyzer
PL-12
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Microbiology

view channel
Image: The “broth” used to monitor red blood cell depletion in whole blood spiked with one colony-forming-unit of E. coli bacteria, each incubated at different orbital shaking speeds—left to right: 0 RPM, 65 RPM, 120 RPM and 200 RPM—after four hours of incubation. This culturing raises a bacteria-rich, plasma-like layer of bacteria to the top of the vials, while clusters of stuck blood cells known as a Rouleaux formation sink to the bottom. (Image Credit: Pak Kin Wong)

New Diagnostic Workflow Identifies Bloodstream Pathogens and Antibiotic Response in Hours

Sepsis is a life-threatening complication of infection that affects more than 1.5 million patients annually in the United States and contributes to roughly one in three in-hospital deaths.... Read more

Pathology

view channel
Image: Researchers evaluated AI models that quantify tumor-infiltrating lymphocytes (TIL) on routine breast tissue slides, where higher TIL levels reflect stronger antitumor response and improved breast cancer outcomes (Image Credit: Shutterstock)

AI Matches Pathologists in Predicting Breast Cancer Prognosis from Immune Cells

Breast cancer is the most common cancer in Australian women, with more than 20,000 cases each year. Prognosis can be informed by counting tumor-infiltrating lymphocytes (TILs) on routine pathology slides,... Read more

Industry

view channel
Image Credit: Adobe Stock

Companion Diagnostics Expand HER2 Testing in Metastatic Gastroesophageal Cancer

Gastroesophageal adenocarcinoma comprises a group of aggressive cancers that are often diagnosed at an advanced stage and carry poor prognoses. Gastric and esophageal cancers rank among the leading causes... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.