UCLA researchers in the Department of Material Science and Engineering have developed a novel method for rapid identification of bacteria using a Surface Enhanced Raman Spectroscopy (SERS) based approach.
Bacterial infection requires clinical testing to properly identify the bacterial strain in order to treat the infection with the appropriate antibiotic drug or spectrum of antibiotic drugs. Current clinical practice is to culture the biological sample to determine if the patient has a bacterial infection. Subsequently, gram staining is used to infer the possible types of bacteria that is causing the infection, followed by sub-culturing the bacteria for antibiotic susceptibility testing. Because of the multiple steps of culturing, it usually takes a week or more from when the biological sample is collected to a final determination of the particular species of bacteria. During this time period, the infection may significantly progress in the infected individual. Because of this potential risk, many clinicians may treat a patient with a broad spectrum antibiotic in the hope that antibiotics will be successful against the infection. However, it poses problems related to the overuse of antibiotics and antibiotic resistance. Thus, there is an urgent need for a cost-effective platform and method that can quickly test for and identify the species of bacteria that is present in biological samples.
Researchers at UCLA have developed a novel hybrid platform using plasmonics-van der Walls material to obtain molecular vibrational spectra (also known as Raman spectra) from bacteria to be used as fingerprints for strain identification. Using this method, the blood sample is incubated for a short period of time to enrich the bacteria relative to other cell types. The incubated sample is then subjected to Surface Enhanced Raman Spectroscopy (SERS) analysis, where the collected vibrational spectra are first analyzed using statistical methods, such as principle component analysis, and then are compared to a spectra database of known bacteria to determine the exact type of the unknown bacterium in the sample.
The described method is at the conceptual stage.
|Patent Cooperation Treaty||Published Application||2019140305||07/18/2019||2016-088|
Additional Patent Pending
Bacteria typing, bacteria strain identification, molecular vibrational spectrum, Raman spectrum, surface enhanced Raman spectroscopy, SERS