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1、SensorsandActuatorsB101(2004)3946Anelectronicnosebasedonsolidstatesensorarraysforlow-costindoorairqualitymonitoringapplicationsS.Zampolli∗,I.Elmi,F.Ahmed1,M.Passini,G.C.Cardinali,S.Nicoletti,L.DoriCNR-IMMSezionediBologna,ViaP.Gobetti101,40129Bologna,ItalyR
2、eceived9October2003;receivedinrevisedform9October2003;accepted11February2004Availableonline28March2004AbstractTheoccurrenceofillnessesrelatedwithpoorventilationhasdrivenanincreasingattentiontowardsindoorairqualitymonitoring.Inbuildingsequippedwithclimateco
3、ntrolsystems,thediseasesrelatedtotheairqualitycanbesignificantlyreducedifsmartinterveningprocedures,aimingtocontroltheconcentrationofpollutantsintheindoorair,canbeimplementedintheheating,ventilationairconditioningunit.Whenreliableinformationaboutboththeindo
4、orandoutdoorairqualityismadeavailable,theclimatecontrolsystemcanprovidethemostappropriateamountofventilation,ensuringsafeandcomfortablelivingconditions.Inthispaper,adedicated,miniaturized,low-costelectronicnosebasedonstate-of-the-artmetaloxidesensorsandsig
5、nalprocessingtechniqueswasdeveloped.Theproposeddeviceistargetedtothequantificationofcarbonmonoxideandnitrogendioxideinmixtureswithrelativehumidityandvolatileorganiccompoundsbyusinganoptimizedgassensorarrayandhighlyeffectivepatternrecognitiontechniques.Theel
6、ectronicnosewastestedinanenvironmentreproducingrealoperatingconditions.Exploitingtheuniqueresponsepatternsofthedifferentsensorsinthearrayandthecapabilityofasimplefuzzy-logicsystemitwaspossibletoidentifyanddiscriminateconcentrationsaslowas20ppbforNO2and5ppm
7、forCOinthetestgasenvironment,allowingtoreachthenecessarysensitivitytowardsthetargetpollutantstogetherwiththeselectivitytowardsthetypicalinterferinggasspecies.©2004ElsevierB.V.Allrightsreserved.Keywords:Indoorairquality;Gassensors;Electronicnose;Fuzzylogic1
8、.Introductionicalcontaminants,andinparticulargaseouscompounds,werefoundtobeamongthemainresponsibleonesforbothTheincreasinginterestinindoorairquality(IAQ)moni-theBRIandtheSBSdiseases,sinceinbuildingswithinad-t
