Table 1.

Power law models parameters describing the dependence of storage, loss and complex moduli on frequency.

Sample	${\mathit{G}}^{\prime }\left(\mathbf{\omega }\right)={\mathit{K}}^{\prime }·{\mathbf{\omega }}^{{\mathit{n}}^{\prime }}$		${\mathit{G}}^{″}\left(\mathbf{\omega }\right)={\mathit{K}}^{″}·{\mathbf{\omega }}^{{\mathit{n}}^{″}}$		${\mathit{G}}^{*}\left(\mathbf{\omega }\right)={\mathit{K}}^{*}·{\mathbf{\omega }}^{{\mathit{n}}^{*}}$
	K′ (Pa·sn′)	n′	K″ (Pa·sn″)	n″	K* (Pa·sn″)	n*
C	67,170.67 ± 59.980 bw	0.168 ± 0.002 ax	18,873.054 ± 100.052 aw	0.251 ± 0.020 ax	69,705.540 ± 24.000 bw	0.176 ± 0.009 ax
M1	60,297.61 ± 100.014 a	0.197 ± 0.006 b	18,996.005 ± 60.005 a	0.266 ± 0.004 a	63,073.670 ± 20.015 a	0.206 ± 0.011 b
M2	81,740.20 ± 70.710 d	0.209 ± 0.007 b	28,679.779 ± 20.024 c	0.262 ± 0.002 a	86,570.750 ± 100.100 d	0.216 ± 0.009 b
M3	72,493.27 ± 79.980 c	0.206 ± 0.003 b	25,774.818 ± 99.900 b	0.255 ± 0.003 a	76,866.193 ± 30.102 c	0.213 ± 0.003 b
One-way ANOVA p values
	p < 0.001	p < 0.001	p < 0.001	ns	p < 0.001	p < 0.001
W1	48,054.22 ± 29.793 z	0.216 ± 0.005 y	18,251.391 ± 39.918 z	0.256 ± 0.001 x	51,381.573 ± 9.239 z	0.222 ± 0.019 y
W2	39,534.26 ± 50.029 x	0.218 ± 0.000 y	14,928.972 ± 70.016 x	0.247 ± 0.003 x	42,250.319 ± 100.170 x	0.223 ± 0.009 y
W3	42,774.78 ± 100.129 y	0.232 ± 0.001 z	16,458.544 ± 159.740 y	0.268 ± 0.006 x	45,813.940 ± 98.494 y	0.237 ± 0.003 y
One-way ANOVA p values
	p < 0.001	p < 0.001	p < 0.001	ns	p < 0.001	ns

Milk containing samples: a–d, mean values in the same column followed by different letters are significantly different (p < 0.05); whey containing samples: w–z, mean values in the same column followed by different letters are significantly different (p < 0.05); ns: not significant; C—control sample; M1—12.5% milk; M2—25% milk; M3—50% milk; W1—12.5% acid whey; W2—25% acid whey; W3—50% acid whey; G′—storage modulus (Pa); G″—loss modulus (Pa); G*—complex modulus (Pa); ω—angular frequency (rad/s); K′, K″, K* (Pa·s^n′)—consistency indices; n′, n″, n*—flow behavior indices.