Gastric cancer differentiation using Fourier transform near-infrared spectroscopy with unsupervised pattern recognition.

The manuscript has investigated the application of near-infrared (NIR) spectroscopy for differentiation gastric cancer. The 90 spectra from cancerous and normal tissues were collected from a total of 30 surgical specimens using Fourier transform near-infrared spectroscopy (FT-NIR) equipped with a fiber-optic probe. Major spectral differences were observed in the CH-stretching second overtone (9000-7000 cm(-1)), CH-stretching first overtone (6000-5200 cm(-1)), and CH-stretching combination (4500-4000 cm(-1)) regions. By use of unsupervised pattern recognition, such as principal component analysis (PCA) and cluster analysis (CA), all spectra were classified into cancerous and normal tissue groups with accuracy up to 81.1%. The sensitivity and specificity was 100% and 68.2%, respectively. These present results indicate that CH-stretching first, combination band and second overtone regions can serve as diagnostic markers for gastric cancer.

Investigation of morphological change of green tea polysaccharides by SEM and AFM.

The objective of this study is to investigate the morphological structure and its change of green tea polysaccharides (GTPS) before and after enzyme reaction by scanning electron microscope (SEM) and atomic force microscope (AFM). Before enzyme reaction, with the novel sample preparation method SEM images of GTPS have obtained many branches and network structures. After enzyme reaction, the morphological structure of GTPS changed, and surface roughness increased. The microstructure of GTPS from SEM with the novel sample preparation method was in accordance with the results from AFM with the tapping mode. The results indicate that the novel sample preparation of GTPS for SEM is a simple, feasible, and reliable method for observing the surface morphology.