다른 밀원에서 기원한 꿀의 전자코 분석

Various honeys from different sources were analyzed using an electronic nose based on a mass spectrometer. Various honeys were separated with different mixing ratios. Wild honey and artificial honey were blended at ratios of 100:0, 95:5, 90:10, 85:15, 80:20, 75:25, and 70:30, respectively. Data obtained from the electronic nose were used for discriminant function analysis (DFA). The DFA plot indicated a significant separation of honey from different sources. As the concentration of artificial honey increased, the first discriminant function score (DF1) moved from positive to negative (DF1: r2=0.9962, F=490.6; DF2: r2=0.9128, F=19.44). Furthermore, when acacia honey was mixed with artificial honey and separated with the mixing ratios, the DF scores were: DF1: r2=0.9957, F=396.64; DF2: r2=0.9447, F=29.3. When artificial honey was added to wild honey, it was possible to predict the following equation; DF1=-0.106×(concentration of artificial honey)+0.426 (r2=0.96). For acacia honey, the DF1=-0.112×(concentration of artificial honey)+0.434 (r2=0.968).