Indian-American Scientist Chandra Mohan Finds New Pave for Kidney Diagnosis

Another Zenith to Medical Science– An Indian-American scientist and his colleague have identified a new, less-invasive method to give  diagnostic information on kidney disease and its Variant severity. They used an optical probe and Raman spectroscopy to differentiate between healthy and diseased kidneys.

What is Raman Spectroscopy?

It is named after named after Sir C.V Raman. Raman spectroscopy provides information about molecular vibrations that can be used for sample identification and quantitation. Plotting the intensity of this “shifted” light versus frequency results in a Raman spectrum of the sample. Raman spectroscopy can be used for both qualitative and quantitative applications. The spectra are very specific, and chemical identifications can be performed by using search algorithms against digital databases.

Methodology

Indian-American Scientist Chandra Mohan Finds New Pave for Kidney Diagnosis according to Mohan and his colleague Wei-Chuan Shih study they relied upon the fact that a healthy kidney and a diseased kidney produce different Raman signals. There are some molecules that must be responsible for these different Raman signals. As long as there’s a difference in the signal, that’s good enough — you can easily differentiate between a diseased kidney’s Raman signal and a healthy kidney’s Raman signal. Apart from the potential side effects, the number of renal biopsies a patient can undergo is limited because of damage to the kidney tissue

Advantages
Raman spectroscopy provides molecular fingerprints that enable non-invasive or minimal invasive and label-free detection for the quantification of subtle molecular changes.
By adapting multivariate analysis to Raman spectroscopy, they have successfully differentiated between the diseased and the non-diseased with up to 100 percent accuracy, and among the severely diseased, the mildly diseased and the healthy with up to 98 percent accuracy concluded Mohan and Shih. The study was also published in the prestigious journal of Biophotonics.