PT - JOURNAL ARTICLE AU - Brinkman, Paul AU - van der Schee, Marc AU - Fens, Niki AU - Wagener, Ariane AU - Hashimoto, Simone AU - Knobel, Hugo AU - Vink, Teunis AU - Montuschi, Paolo AU - Pennazza, Giorgio AU - Santonico, Marco AU - D'Amico, Arnaldo AU - Fowler, Stephen AU - De Jongh, Frans AU - Sterk, Peter TI - Validation of a (semi)-automatic measurement- and control platform for centralized, simultaneous electronic nose (eNose) analyses in multi-centre trials DP - 2011 Sep 01 TA - European Respiratory Journal PG - p3524 VI - 38 IP - Suppl 55 4099 - http://erj.ersjournals.com/content/38/Suppl_55/p3524.short 4100 - http://erj.ersjournals.com/content/38/Suppl_55/p3524.full SO - Eur Respir J2011 Sep 01; 38 AB - Rationale: Breath analysis by eNose technology represents a promising diagnostic tool in lung disease. Thet next step in making this technology suitable for multi-centre trials, such as the U-BIOPRED study, is to facilitate centralized (semi)-automatic measurements simultaneously.Hypothesis: Incorporating multiple eNoses in a measurement- and control platform (integrated system of PC, mass flow controllers and valves) does not influence the sensor responses.Methods: In this cross-sectional study on healthy volunteers (n = 12), exhaled breath was collected using a standardized method (Fens et al. AJRCCM 09). Two paired randomized measurements (standard configuration vs. platform) were done on two parallel eNoses (Cyranose C320). Analysis was done by linear regression. (see figure).Results: There was a slight difference in sensor responses between paired measurements. However this was proportional for all sensors. (eNose 1: 0.961≤R2≤0.996, eNose 2: 0.982≤R2≤0.998). The slopes of the linear regression lines differed when changing the sampling flow.Conclusion: The platform has a minimal, proportional influence on sensor responses, which can be adjusted for.Implication: A parallel eNose platform can facilitate centralized, integrative analysis of different types of devices and thereby application of eNose technology on larger cohorts in a multi-centre setting.