Investigation of Biochemical Diversity of Two Species of Trichomonads Based on Raman Tweezers Combined with Multistatistical Analysis
To investigate the biochemical components and structure between two species of trichomonads, a Raman tweezers was used to collect Raman spectra of single Trichomonas tenax and Trichomonas vaginalis cells taken from different patients, in which multiple statistical analysis, principal component analyses(PCA) and discriminant function analysis(DFA), were applied to distinguish the biological diversity between tow species of trichomonads and among their strains statistically. A laser beam was introduced into a sample pool on the stage of an inverted microscopy to form an optical trap, a uniform trichomonad with vitality was trapped randomly in water and the Raman scatter was collected, subsequently, Raman data were background-subtracted smoothed, baselined, normalized, PCA, DFA and hierarchical cluster analysed successively. The results showed that Raman spectra scattered from the trapping trichomonad cells could provide intrinsic molecular information, T. tenax and T. vaginalis could be discriminated using PCA based on the difference of 10 most contributed bands, 1002, 785, 888, 979, 1127, 1287, 1317, 1364, 1446 and 1465 cm- 1, among which, 4 bands were from lipoid, 6 bands were from protein; There were no significant differences between those strains of T. tenax or T. vaginalis if the data were analyzed with PCA only, however, 4 strains of T. tenax or T. vaginalis could be distinguished easily using DFA based on the principal components (PCs) of pre-PCA, which could maximize between group and minimize within group distances;among the four strains of T. tenax, 12 Raman bands were contributed to the difference and 14 bands of T. vaginalis strains were difference significantly as well, in which Raman bands correspond to various biomacromolecule including proteins, lipid, nucleic acid and carbohydrates. Moreover, according to the Euclidean distance in hierarchical cluster analysis (HCA) based on DFA, the difference range between the strains can be ascertained.