Electronic noses calibration procedure in the context of a multicentre medical study

被引:31
作者
Santonico, M. [2 ]
Pennazza, G. [1 ]
Capuano, R. [3 ]
Falconi, C. [2 ]
Vink, T. J. [4 ]
Knobel, H. H. [4 ]
Van der Schee, M. P. [5 ]
Sterk, P. J. [5 ]
Montuschi, P. [3 ]
D'Amico, A. [2 ]
机构
[1] Univ Campus Biomed Roma, Unit Elect Sensor Syst, CIR, I-00128 Rome, Italy
[2] Univ Roma Tor Vergata, Dept Elect Engn, I-00133 Rome, Italy
[3] Univ Cattolica Sacro Cuore, Fac Med, Dept Pharmacol, I-00168 Rome, Italy
[4] Philips Res Labs, Eindhoven, Netherlands
[5] Univ Amsterdam, Acad Med Ctr, Dept Resp Med, NL-1105 AZ Amsterdam, Netherlands
来源
SENSORS AND ACTUATORS B-CHEMICAL | 2012年 / 173卷
关键词
Electronic nose; Volatile compounds; Permeation tubes; Limit of detection; Medical applications; SYSTEMS; ARRAYS; SNIFF;
D O I
10.1016/j.snb.2012.07.042
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
An overview of the scientific literature in the medical field tells us that a large part of electronic nose applications is devoted to breath analysis. A network based study can help testing the validity of this strategy when using many different devices based on identical or different technologies, in view of a use in real clinical practice. The first step is the instrument calibration using a set of key-compounds. In this work a gas sensor array based on quartz microbalance transducers functionalized with metalloporphyrins (ROW e-nose), and a Cyranose is used simultaneously in a calibration experiment with three ad hoc selected compounds: ethanol, hexane and ethyl acetate, at concentration levels around 1 ppm. These tests have demonstrated that limits of detection down to tens of ppb are possible. Moreover, a mapping between the two instruments has been performed through the calculation of a model based on Cyranose data, and applied to the ROW e-nose data, for the prediction of compound concentrations. This test has shown a good ability in concentrations prediction, with an error lower than 10 ppb. In conclusion, this study provides the first step toward quality assurance of e-nose data in the medical setting. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:555 / 561
页数:7
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