@article {Brinkman4307, author = {Paul Brinkman and Marc van der Schee and Niki Fens and Giorgio Pennazza and Marco Santonico and Arnaldo D{\textquoteright}Amico and Frans De Jongh and Peter J. Sterk and U-BIOPRED Study}, title = {Calibration of a (semi)-automatic measurement and control platform for centralized, simultaneous electronic nose (eNose) analyses in multi-centre trials}, volume = {40}, number = {Suppl 56}, elocation-id = {4307}, year = {2012}, publisher = {European Respiratory Society}, abstract = {Rationale: Breath analysis by electronic nose (eNose) technology represents a promising diagnostic tool in lung disease. A critical step in making this technology suitable for multi-centre trials, such as the U-BIOPRED Study, is to facilitate centralized measurements on multiple eNoses simultaneously. This can be accomplished with a (semi)-automatic measurement and control platform.Aim: To calibrate and analyze repeatability of multiple sensors in an eNose platform (5 eNoses, 4 brands).Methods: Ethanol was chosen as one of the calibration gases. Different concentrations (500 ppb-8 ppm) were generated by a permeation system. Measurements at all concentrations were done in duplicate. Total number of sensors in the platform was 81. The obtained data were processed by averaging duplicate measurements after normalisation (scale 0-1).Results: The platform (not all individual sensors) was sensitive to ethanol at used concentrations (fig). The difference in normalized sensor deflections between duplicate measurements at 2 ppm was (mean[SD], range): 0.09 [0.1], 0.55-0.0004.Conclusion: The eNose platform is capable of detecting ethanol at concentrations from 500 ppb to 8 ppm level with acceptable repeatability.Implication: This method of platform calibration with standard gases is feasible and mandatory for quality control of eNose assessments in a multi-centre setting.}, issn = {0903-1936}, URL = {https://erj.ersjournals.com/content/40/Suppl_56/4307}, eprint = {https://erj.ersjournals.com/content/40/Suppl_56/4307.full.pdf}, journal = {European Respiratory Journal} }