Objective To investigate the exposure level to vehicle exhaust pollution for population by different commuting modes in roadside environment in Wuhan. Methods Eight air monitoring sites were selected in the six main roads in urban area of Wuhan, Hubei province. The concentrations of NO2, CO, total hydro carbon (THC), PM10, benzene, toluene and xylenes (BTX) emitted from the vehicles were monitored and analyzed in winter and summer of 2007, respectively and combined with breathing rate and time spent of the population in traffic environments, exposure doses of different subpopulation were calculated as indicators in order to evaluate their exposure level to traffic exhaust. Results The PM10 was the primary pollutant on the roadside. Compared with the Ambient Air Quality Standard, the rate of exceeding standard limit for PM10 was 8% in summer and 100% in winter. As for on the roadside, the exposure level for adults was higher than that for the children (P

As the complexity of samples and experimental processes, the repeatability of mass spectrometry experiments is still not satisfactory, the results of peptide identification and quantification show high randomicity), the probability of peptide being detected by mass spectrometry in proteome research, especially in quantitative proteomic study, has received much attention. Therefore, a lot of experimental researches have been done, as well as a number of computational prediction methods have been developed. In this article, we summarized the important factors impacting the peptide detectability, investigated the existing prediction methods) and reviewed their applications in experimental study.