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
ZeptoMetrix an Antylia scientific company

Download Mobile App




Breakthrough Device That Detects DNA with 100-Fold Greater Sensitivity to Speed Disease Detection

By LabMedica International staff writers
Posted on 05 Oct 2023

Traditional DNA detection methods are like searching for a needle in a haystack, given that there are many other molecules in a sample that are not the target DNA and can interfere with the result. More...

Now, a new method for DNA detection offers 100-fold greater sensitivity than traditional methods, paving the way for faster disease detection at the point of care.

In the new DNA detection method developed by researchers at the University of Massachusetts Amherst (Amherst, MA, USA), the test sample is placed within an alternating electric field, allowing the DNA strands to "dance." Each strand moves with its own unique frequency of oscillation. Researchers can then examine the sample to find a molecule that moves just like the DNA they're looking for, making it easy to identify even when present in extremely low concentrations.

The implications for this groundbreaking method are enormous, particularly for early diagnosis of diseases. Because of its high sensitivity, the test can identify diseases much sooner in their progression, which can be critical for treatment. Moreover, the electric-based method yields results in minutes rather than days, weeks, or months, making it ideal for point-of-care settings. Additionally, the technology is highly portable, resembling the size of a blood sugar monitoring device, which has the potential to make a substantial impact on global health.

“Everyone wants to detect the DNA at a low concentration with a high sensitivity. And we just developed this method to improve the sensitivity by about 100 times with no cost,” said Jinglei Ping, lead author of the paper that appeared in Proceedings of the National Academy of Sciences. “The nano-mechanoelectrical approach can be also integrated with other bioengineering technologies, like CRISPR, to elucidate nucleic acid signaling pathways, comprehend disease mechanisms, identify novel drug targets and create personalized treatment strategies, including microRNA-targeted therapies.”

Related Links:
UMass Amherst


Gold Member
Chagas Disease Test
CHAGAS Cassette
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Creatine Kinase-MB Assay
CK-MB Test
New
Malondialdehyde HPLC Test
Malondialdehyde in Serum/Plasma – HPLC
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

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.