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

Download Mobile App




New Chemical Sensors Could Speed Up Research

By Biotechdaily staff writers
Posted on 21 May 2002
Reusable chemical sensors under development may allow simultaneous detection of numerous chemicals in a sample 100 or 1,000 times smaller than a drop of water, greatly speeding the work of clinical, pharmaceutical, or environmental laboratories. More...
The research is being conducted by chemists at the University of Buffalo (UB, New York, USA).

The new technology is based on xerogels, developed through sol-gel processing in which a special solution reacts to form a porous polymer. A xerogel is a rigid material but consists of an intricate network of nanoscopic pores. The UB researchers have developed new ways to stabilize and trap proteins within the xerogels, which can then be used to signal the presence of chemicals in a sample. However, the xerogels are large and detect only one chemical species. So the researchers sought a way to shrink all the sensor technology so they could place multiple sensors in a small area and obtain information on many chemicals in a single, small sample. After many different attempts, they found that pin-printing produced a solution.

In pin-printing technology, used in genomics, an extremely thin pin point uses capillary action to suck up small volumes of solution and then deposits or prints them onto microscopic slides. Using a commercial pin-printer, similar to those in DNA microarray facilities, the researchers found they had solved the problem. They contact-printed the sol-gel solution directly on the slide surface to form an array of xerogel-based sensors.

"Because the volume delivered by these pin-printers is less than a trillionth of a quart, the sensors are very small, so we can cram many different sensors in a small footprint and, in principle, detect hundreds or even thousands of chemical species simultaneously,” said Frank V. Bright, Ph.D., co-author of an article on the research appearing in the March 1, 2002, issue of Analytical Chemistry. Dr. Bright is associate chair and professor in the UB department of chemistry.

The research team is now working on pin-printing chemical sensors onto the top of an light emitting diode (LED) to form a fully self-contained sensor array platform.




Related Links:
University of Buffalo

New
Gold Member
Aspiration System
VACUSAFE
New
Gold Member
Clinical Chemistry Assay
Sorbitol Dehydrogenase (SDH)
New
Electrolyte Analyzer
CBS-4000 (CBS-400)
New
Food Allergy Screening ELISA Kit
Allerquant 14G B ELISA
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: Study results show blood protein levels change markedly in childhood and adolescence, with sex differences increasing with age (photo credit: Adobe Stock)

Proteomic Data Underscore Need for Age-Specific Pediatric Reference Ranges

Serum proteins underpin many routine tests used to detect inflammation, hormonal imbalance, cardiovascular disease, and metabolic disorders. Yet pediatric interpretation often relies on adult reference... Read more

Pathology

view channel
Image: Study flowchart. This study developed a multimodal artificial intelligence framework to predict PIK3CA mutations in breast cancer (Jiaxian Miao et al., Cancer Biol Med 23(3): 430–450 (2026). DOI: 10.20892/j.issn.2095-3941.2025.0771)

Multimodal AI Tool Predicts Genetic Alterations to Guide Breast Cancer Treatment

PIK3CA mutations are key biomarkers for selecting phosphoinositide 3-kinase (PI3K)–targeted therapies in breast cancer, yet access to molecular testing can be inconsistent and costly. Conventional polymerase... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.