Classification and Prediction of Bee Honey Indirect Adulteration Using Physiochemical Properties Coupled with K-Means Clustering and Simulated Annealing-Artificial Neural Networks (SA-ANNs)

Table 1

The glucose, fructose, and sucrose contents of honey samples fed at different sucrose syrup amounts.

Trt	Sucrose solution fed (L)	Glucose (%)	Fructose (%)	F/G ratio	Sucrose (%)
Trt 1	0 (control)	33.46 ± 0.53^a	45.24 ± 0.55^a	1.36^a	0.19 ± 0.15^c
Trt 2	10	32.88 ± 0.43^a	39.84 ± 0.45^b	1.21^b	0.29 ± 0.20^c
Trt 3	20	32.11 ± 0.50^b	39.14 ± 0.50^b	1.21^b	0.54 ± 0.24^bc
Trt 4	40	31.84 ± 0.35^bc	38.00 ± 0. 10^c	1.18^b	0.63 ± 0.32^bc
Trt 5	60	31.27 ± 0.28^cd	37.65 ± 0.65^cd	1.20^b	1.03 ± 0.18^b
Trt 6	80	30.66 ± 0.35^d	36.89 ± 0.60^d	1.20^b	1.68 ± 0.52^a
Trt 7	100	29.05 ± 0.50^e	35.89 ± 0.50^e	1.23^b	1.80 ± 0.63^a

All values are means of three observations and calculated on wet basis. Means ± SD in the same column with the same letter are not significantly different ( ≤ 0.05).