Methods for breath sampling and analysis require robust quality assessment to minimise the risk of false discoveries. Planning large-scale multi-site breath metabolite profiling studies also requires careful consideration of systematic and random variation as a result of sampling and analysis techniques. In this study we use breath sample data from the recent U-BIOPRED cohort to evaluate and discuss some important methodological considerations such as batch variation and correction, variation between sites, storage and transportation, as well as inter-instrument analytical differences. Based on this we provide a summary of recommended best practices for new large scale multi-site studies
Ahmed, W., Brinkman, P., Weda, H., Knobel, H., Xu, Y., Nijsen, T., Goodacre, R., Rattray, N., Vink, T., Santonico, M., Pennazza, G., Montuschi, P., Sterk, P., Fowler, S., Methodological considerations for large-scale breath analysis studies: lessons from the U-BIOPRED severe asthma project, <<JOURNAL OF BREATH RESEARCH>>, 2019; 13 (1): N/A-N/A. [doi:10.1088/1752-7163/aae557] [http://hdl.handle.net/10807/134877]
Methodological considerations for large-scale breath analysis studies: lessons from the U-BIOPRED severe asthma project
Montuschi, Paolo;
2019
Abstract
Methods for breath sampling and analysis require robust quality assessment to minimise the risk of false discoveries. Planning large-scale multi-site breath metabolite profiling studies also requires careful consideration of systematic and random variation as a result of sampling and analysis techniques. In this study we use breath sample data from the recent U-BIOPRED cohort to evaluate and discuss some important methodological considerations such as batch variation and correction, variation between sites, storage and transportation, as well as inter-instrument analytical differences. Based on this we provide a summary of recommended best practices for new large scale multi-site studiesI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.