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 3

Color measurements (L, a, b, ΔE, and chroma) of honey samples fed with different concentrations of sucrose syrup.

Trt	Sucrose solution fed (L)	L	a	b	ΔE	Chroma
Trt 1	0 (control)	59.30 ± 3.9^c	−1.37 ± 0.15^b	44.23 ± 1.59^bc	68.96 ± 3.24^d	44.26 ± 1.60^b
Trt 2	10	60.41 ± 2.37^c	1.16 ± 0.36^a	47.00 ± 0.54^ab	76.56 ± 2.19^ab	47.02 ± 0.55^ab
Trt 3	20	61.32 ± 1.07^bc	0.44 ± 0.11^a	48.04 ± 1.01^a	77.89 ± 1.47^ab	48.04 ± 1.01^a
Trt 4	40	65.18 ± 2.58^ab	−1.89 ± 0.31^b	43.61 ± 2.32^c	78.45 ± 3.45^a	43.65 ± 2.34^b
Trt 5	60	67.20 ± 1.32^a	−4.3 ± 1.03^d	24.79 ± 2.38^e	71.78 ± 2.10^cd	25.17 ± 2.51^d
Trt 6	80	68.38 ± 1.19^a	−3.8 ± 0.55 ^cd	27.55 ± 1.22^e	73.82 ± 1.45^bc	27.81 ± 1.28^d
Trt 7	100	68.84 ± 2.27^a	−3.35 ± 0.29^c	34.15 ± 2.98^d	76.94 ± 3.02^ab	34.32 ± 2.96^c

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