Open AccessSurface‐enhanced Raman spectroscopy analysis of mast cell degranulation induced by low‐intensity laser
Author(s) -
Zheng Mengmeng,
Gao Siqi,
Yu Yun,
Xu Jianshu,
Huang Zufang,
Li Juan,
Xie Shusen,
Lin Juqiang
Publication year - 2019
Publication title -
iet nanobiotechnology
Language(s) - English
Resource type - Journals
ISSN - 1751-875X
DOI - 10.1049/iet-nbt.2019.0145
Subject(s) - degranulation , raman spectroscopy , principal component analysis , laser , materials science , spectroscopy , chemistry , analytical chemistry (journal) , optics , chromatography , computer science , artificial intelligence , physics , biochemistry , receptor , quantum mechanics
Mast cell (MC) degranulation is an important step in the healing process. In this study, silver‐nanoparticles‐based surface‐enhanced Raman spectroscopy (SERS) was used to investigate the spectral characteristics of degranulation of MCs activated by low‐intensity laser. The significant spectral changes, such as Raman peak intensities, suggested the concentration variation of some degranulated substances. The Raman intensity ratio of 799–554 cm − 1 could be used as a potential internal indicator for the degranulation degree of MCs. Principal component analysis (PCA) was employed to reduce the high dimension of spectra into a few principal components (PCs) while retaining the most diagnostically significant information for sample differentiation. Using the diagnostically significant PC scores ( P < 0.05), linear discriminate analysis (LDA) was applied to identify different cell degranulation groups with high sensitivity, specificity and accuracy. This exploratory work demonstrates that SERS technique combined with a PCA‐LDA algorithm possesses great potential for developing a label‐free, comprehensive, non‐invasive and accurate method for measuring MC degranulation.