MS-Based Device May Help Surgeons Identify Cancerous Tissue Faster
A device based on mass spectrometry could help surgeons identify cancerous tissue during surgical procedures, according to a study published in Angewandte Chemie German Chemical Society.
A device based on mass spectrometry could help surgeons identify cancerous tissue during surgical procedures, according to a study published in Angewandte Chemie (German Chemical Society.)
The technique, developed by a team of Hungarian and German scientists, could help surgeons know when a tumor has been completely removed in under a second.
Currently, while a patient is under anesthesia, surgeons will remove a tumor and then send pieces of healthy surrounding tissue for histological analysis to determine if all the cancer was removed, repeating the process during the same surgical session if the results are found to be positive.
Dr. Zoltan Takats, PhD, a chemist at the Justus Liebeg University in Giessen, Germany, and his team have developed a device that utilizes rapid evaporative ionization mass spectrometry (REIMS). It will analyze ions given off by tumors as they are burned off during surgery. They are then analyzed by a program that runs them against a tumor database, and rather than having the results in the traditional 30 to 40 minutes, a surgeon can reportedly have them in under one second.
For more information, and to see the original research, visit the Wiley website
An Interview with AES Mid-Career Award Recipient Jason Dwyer
July 25th 2024Jason Dwyer of the University of Rhode Island has been named the recipient of the American Electrophoresis Society’s Mid-Career Award, which honors exceptional contributions to the field of electrophoresis, microfluidics, and related areas by an individual who is currently in the middle of their career.
Glucose's Impact on Brain Cancer Cells Unveiled Through Raman Imaging
July 25th 2024Researchers have used Raman spectroscopy and chemometric methods to reveal how glucose affects normal and cancerous brain cell metabolism. Their findings highlight specific biomarkers that can distinguish metabolic changes, potentially aiding in cancer research and treatment.
