Detection of bitterness and astringency of green tea with different taste by electronic nose and tongue

Rapid prediction of ochratoxin A-producing strains of Penicillium on dry-cured meat by MOS-based electronic nose

(2016) Vincenzo Lippolis et al.   INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY

Quality identification and evaluation of Pu-erh teas of different grade levels and various ages through sensory evaluation and instrumental analysis

(2016) Lin Gao et al.   INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY

Application of MOS based electronic nose for the prediction of banana quality properties

(2016) Alireza Sanaeifar et al.   MEASUREMENT

Detecting internal quality of peanuts during storage using electronic nose responses combined with physicochemical methods

(2015) Zhenbo Wei et al.   FOOD CHEMISTRY

Objective evaluation methods for the bitter and astringent taste intensities of black and oolong teas by a taste sensor

(2013) Nobuyuki Hayashi et al.   FOOD RESEARCH INTERNATIONAL

Differential Detection of Potentially Hazardous Fusarium Species in Wheat Grains by an Electronic Nose

(2011) Jakob Eifler et al.   PLoS One

Electronic nose for black tea quality evaluation by an incremental RBF network

(2009) Bipan Tudu et al.   SENSORS AND ACTUATORS B-CHEMICAL