Sensor Fusion of Electronic Nose and Electronic Tongue for Classification of Orthosiphon stamineus

被引:5
作者
Zakaria, A. [1 ]
Shakaff, A. Y. M. [1 ]
Adom, A. H. [1 ]
Ahmad, M. N. [1 ]
Shaari, A. R. [1 ]
Jaafar, M. N. [1 ]
Abdullah, A. H. [1 ]
Fikri, N. A. [1 ]
Kamarudin, L. M. [1 ]
机构
[1] Univ Malaysia Perlis, Sensor Mat & Syst Lab, Kangar 01000, Perlis, Malaysia
关键词
Cyranose320; Chalcogenide; Data Fusion; Multimodalities; Competitive Learning; Orthosiphon stamineus; DISCRIMINATION;
D O I
10.1166/sl.2011.1626
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Sensor fusion of electronic nose (e-nose) and electronic tongue (e-tongue) has lead to an improved classification of Orthosiphon stamineus (also known as Misai Kucing). The fusion technique was presented and compared with individual assessment using e-nose and e-tongue separately. Three different commercial sources along with freshly prepared sample were discriminated using an e-nose and an e-tongue. Headspace of these dried Orthosiphon stamineus leaves and brewed samples were measured and compared using e-nose in order to determine the optimum setting for experimental setup and sniffing cycle. Applying the Principal Component Analysis (PCA) separately on the respective e-tongue and e-nose data, only three distinct classes can be classified. However, by employing an improved technique of data fusion of the two modalities, classification of the four distinct groups was achieved.
引用
收藏
页码:837 / 840
页数:4
相关论文
共 10 条
[1]   Electronic noses inter-comparison, data fusion and sensor selection in discrimination of standard fruit solutions [J].
Boilot, P ;
Hines, EL ;
Gongora, MA ;
Folland, RS .
SENSORS AND ACTUATORS B-CHEMICAL, 2003, 88 (01) :80-88
[2]   Electronic nose and electronic tongue integration for improved classification of clinical and food samples [J].
Di Natale, C ;
Paolesse, R ;
Macagnano, A ;
Mantini, A ;
D'Amico, A ;
Legin, A ;
Lvova, L ;
Rudnitskaya, A ;
Vlasov, Y .
SENSORS AND ACTUATORS B-CHEMICAL, 2000, 64 (1-3) :15-21
[3]   Tea quality prediction using a tin oxide-based electronic nose: an artificial intelligence approach [J].
Dutta, R ;
Hines, EL ;
Gardner, JW ;
Kashwan, KR ;
Bhuyan, A .
SENSORS AND ACTUATORS B-CHEMICAL, 2003, 94 (02) :228-237
[4]   Discrimination of wine aroma using an array of conducting polymer sensors in conjunction with solid-phase micro-extraction (SPME) technique [J].
Guadarrama, A ;
Fernández, JA ;
Iñguez, M ;
Souto, J ;
de Saja, JA .
SENSORS AND ACTUATORS B-CHEMICAL, 2001, 77 (1-2) :401-408
[5]   Intelligent electronic nose system for basal stem rot disease detection [J].
Markom, M. A. ;
Shakaff, A. Y. Md ;
Adom, A. H. ;
Ahmad, M. N. ;
Hidayat, Wahyu ;
Abdullah, A. H. ;
Fikri, N. Ahmad .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2009, 66 (02) :140-146
[6]  
MENDEZ MLR, 2004, IEEE SENS J, V4, P348
[7]  
ROUSSEL S, 2003, FUSION AROMA FT IR U, P65
[8]   Use of preconcentration techniques applied to a MS-based "electronic nose" [J].
Schaller, E ;
Zenhäusern, S ;
Zesiger, T ;
Bosset, JO ;
Escher, F .
ANALUSIS, 2000, 28 (08) :743-749
[9]   A hybrid electronic tongue [J].
Winquist, F ;
Holmin, S ;
Krantz-Rülcker, C ;
Wide, P ;
Lundström, I .
ANALYTICA CHIMICA ACTA, 2000, 406 (02) :147-157
[10]  
ZAKARIA A, 2001, SENSORS, V10, P8782