“…A similar temporal variation between occupancy and non-occupancy is also found in a previous study by Branis et al [56] which, however, developed the study using different sampling strategies and time references as discussed later in this review. High variability of PM 2.5 I-O concentrations is also described by other analysed studies [40,50,[57][58][59][60][61]. In particular, the findings of Liu et al [58] through different residential and commercial buildings in Beijing, clearly show the wide variability within indoor PM 10 and PM 2.5 concentrations which are, resultantly, higher in restaurants, dormitories, and classrooms, rather than in supermarkets, computer rooms, offices, and libraries (PM 10 and PM 2.5 ranging, respectively, from 373.8 µg/m 3 and 136.6 µg/m 3 in restaurants to 33.8 µg/m 3 and 5.6 µg/m 3 in libraries).…”