International Journal of Dentistry Research 2020; 5(3): 126-130 DOI:10.31254/dentistry.2020.5304

Research Article

Salivary spectrum evaluation with Raman’s Spectrometer

Kumar Sagar¹ , Sonal Vahanwala² , Murali Chilakapati³ , Mandavi Waghmare⁴ , Sandeep Pagare⁵ , Vasavi Santosh⁵ , Naveen Shetty⁵ , Reema Manoj⁶ , Hemant Bhutani⁷ , Kapil Gavand⁸

Kumar Sagar,Sonal Vahanwala,Murali Chilakapati,Mandavi Waghmare,Sandeep Pagare,Vasavi Santosh,Naveen Shetty,Reema Manoj,Hemant Bhutani,Kapil Gavand

1. MDS Student, Department of Oral Medicine and Radiology, DY Patil School of Dentistry, Nerul, Navi Mumbai
2. Professor & Guide, Department of Oral Medicine and Radiology, DY Patil School of Dentistry, Nerul, Navi Mumbai
3. Principal Investigator, ACTREC, Kharghar, Mumbai
4. Professor & Head of Department, Department of Oral Medicine and Radiology, DY Patil School of Dentistry, Nerul, Navi Mumbai
5. Professor, Department of Oral Medicine and Radiology, DY Patil School of Dentistry, Nerul, Navi Mumbai
6. Associate Professor, Department of Oral Medicine and Radiology, DY Patil School of Dentistry, Nerul, Navi Mumbai
7. Lecturer, Department of Oral Medicine and Radiology, DY Patil School of Dentistry, Nerul, Navi Mumbai
8. Lecturer, Department of Oral Medicine and Radiology, DY Patil School of Dentistry, Nerul, Navi Mumbai

*Author to whom correspondence should be addressed.

Received: 27th September, 2020 / Accepted: 17th December, 2020 / Published : 30th December, 2020

Abstract

Background: Biofluids possess a lot of hidden informations. Along with serum, saliva beholds great potential which needs to be discovered. Certain physical properties of saliva need to be studied closely and thus can be put into use for various diagnostic purposes. Aims and Objectives: To find difference between male and female saliva through spectrometry. Design: 20 systemically sound subjects were selected and explained about the study. The subjects should not be consuming any medication or tobacco products. Materials and Methodology: Subjects were asked to collect unstimulated saliva in the disposable vials. The samples were then centrifuged with the help of speed vacuum concentrator. Then with the help of Gilson’s pipette some centrifuge sample were taken and normal saline was added and was left to dry. With the help of Raman’s Spectrometer 585nm the spectra was recorded and each sample were assessed 5 times. And then raw data was processed. Result and Conclusion: PCA (Principal Component Analysis), LDA (Linear Discriminant Analysis) and Average Spectra are derived. The LDA accuracy of our study was above 70% which is good for future research purposes as anything above 60% can be considered as important breakthrough.