Bioremoval of copper by filamentous fungi isolated from contaminated soils of Puchuncaví-Ventanas Central Chile

The expansion of fungal organisms in environmental biotechnology

Fungal organisms hold vital roles in ecosystem processes. Despite their intricate entanglement with most life on earth and their powerful metabolic capacities, they remain under-represented in environmental biotechnology. The interest in applying fungal biotechnologies to different environments is growing, as light is shed on their versatile potential. A diversity of fungi can be harnessed to promote crop yield, remediate pollutants from terrestrial and aquatic environments, and mitigate climate change impacts. Current technological advancements, such as the increase in high-accuracy 'omics pipelines, provide improvement. However, it is emphasized that there are many knowledge gaps regarding applying fungal biotechnology at scale where other organisms are inherently present. Hence, there is a dire need to increase funding that enables in-depth studies on fungal processes, such as degradation capacities, metabolite production, and cross-kingdom interactions, that promote climate-smart biotechnologies.

Environmental pollution and health in Chilean older adults: Impact on quality of life and functional autonomy

Background and Aims

Due to increased urbanization and industry, environmental pollution is a serious public health concern. Globally, the quality of life is particularly lowered by exposure to high amounts of particulate matter (PM). Chile has five industrial zones with high pollution levels, called "sacrifice zones." However, the effect of polluted air on the quality of life and functional autonomy (FA) of older people living in industrial zones with high pollution levels is unknown. Therefore, this study aimed to determine the quality of life and FA differences between Chilean older women (OW) living in areas with lower and higher PM levels.

Materials and Methods

Seventy-two OW volunteered for this study. The sample was divided into Zone 1 (PM2.5 ≤ 15 µg/m3, n = 36) and Zone 2 (PM2.5 > 15 µg/m3, n = 36). The variables were quality of life-assessed through the SF-36v2.0 questionnaire, and FA-assessed through the GDLAM protocols. Differences between zones were tested by Student's t-test and Mann-Whitney test, both for independent samples (p < 0.05).

Results

All eight dimensions of quality of life were lower in Zone 2, of which the role emotional (RE) showed significant differences between zones (p < 0.05). Performance on the GDLAM protocols and the FA index were lower in Zone 2 (p ˃ 0.05).

Conclusion

OW in Zone 2 showed lower quality of life and FA. PM could affect the older population's physical and mental health and, therefore, the quality of life.