(7) Y = −2328.88741 + 6.06A + 115.61B + 11.84C + 13.65D + 0.014AB + 0.0044AC + 0.011AD + 0.031BD − 0.22CD − 0.41A 2 − 1.56B 2 − 0.21C 2 − 0.47D 2 Analysis of variance (ANOVA) confirmed that the model was highly significant ( p < 0.01) with a non-significant lack of fit ( p > 0.05).
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In addition, omitting 6-methyl-5-hepten-2-one, 2-ethyl-5-methylpyrazine, 2-ethyl-3,5-dimethylpyrazine, ( Z )-jasmone, and 2,3-diethyl-5-methylpyrazine, respectively, from the recombinant models resulted in highly significant differences ( p < 0.01).
One-way ANOVA was carried out using SPSS software (version 25.0) to test the significant differences ( p < 0.05) of physical properties and lipid levels during low-temperature storage, and highly significant differences ( p < 0.01) between physical properties and lipid species.
The quadratic polynomial regression model was established as follows: R = 385.32 − 118.37X 1 + 22.20X 2 − 150.79X 3 − 46.23X 1 X 2 + 92.03X 1 X 3 − 20.86X 2 X 3 + 64.94X 1 2 + 9.82X 2 2 + 133.50X 3 2 Regression and variance analyses revealed that the model for nanoparticle size was highly significant ( p < 0.01) with a non-significant lack-of-fit term ( p > 0.05).
Among them, the effects of independent variables A, B, C, D, and interaction terms AC and BC on the composite value Y were highly significant ( p < 0.01); the effects of AB and CD on the composite value Y were significant ( p < 0.05), while the effects of AD and BD on the composite value Y were not significant ( p > 0.05).
The results are presented in Figure 7 for the sodium hypochlorite-treated groups, as follows: Histatinase L and D exhibited a correlation with fish hardness and pH that was deemed to be highly significant ( p < 0.01), and histatinase B demonstrated a correlation with hardness and MFI that was considered to be significant ( p < 0.05).
Additionally, a highly significant positive correlation ( p < 0.01) was observed between free radical scavenging rates (DPPH and ABTS + ) and TPC in this study.
Analysis revealed that the metabolic cluster composed of reducing sugars (glucose, fructose) and branched-chain amino acids (leucine, valine) exhibited a highly significant directional association with pyrazine generation (Node P; p < 0.01).
Highly significant negative correlations were found between ascorbic acid and soluble sugar content, moisture content and soluble sugar content, and moisture content and cAMP ( p < 0.01).
Highly significant differences ( p < 0.01) were observed in yellowness (b*) values for storage days 60 and 90.
The results are expressed as ‘mean ± standard error’, where a single asterisk (*) indicates a significant difference at p < 0.05, while a double asterisk (**) signifies a highly significant difference at p < 0.01 [ 38 ]. 3.
Corresponding quality criteria were desirably high as Wilk’s lambda results were highly significant ( p < 0.01), and two Eigenvalues were above 1, thus sufficiently high, while one Eigenvalue was above 0.7.
Statistical analysis ( Table 4 ) revealed significant variations in polyphenol content at t 0 compared to later time points, with highly significant differences in some cases ( p < 0.01).
4-hydroxybenzaldehyde, p-coumaroylmalic acid, homovanilloylquinic acid, 1-O-p-coumaroylquinic acid, trihydroxycinnamoylquinic acid were positively correlated with ABTS ( p < 0.01) and FRAP ( p < 0.05), 1-O-feruloyl-D-glucose, 1-feruloyl-sn-glycerol, 6-O-feruloyl-D-glucose, 3,4,5-tri-O-galloylshikimic acid, and p-coumaric acid methyl ester were positively correlated with FRAP ( p < 0.01) and ABTS ( p < 0.05), 2-feruloyl-sn-glycerol, 1-O-[(E)-p-coumaroyl]-D-glucose, p-coumaric acid-4-O-glucoside, 1-O-feruloylquinic acid, syringalide A were extremely significant positively correlated with ABTS ( p < 0.01) and 4-nitrophenol, dihydrocaffeic acid, 3-O-p-coumaroylquinic acid-O-glucoside were positively correlated with ABTS ( p < 0.05).
As shown in Figure 1 , Ser and Pro both showed highly significant negative effects on sweetness ( p < 0.01, r = −0.80 and p < 0.01, r = −0.89, respectively), suggesting that the higher concentrations of these amino acids might reduce the perception of sweetness in T. obscurus .
Factors B and C had extremely significant synergies among them ( p < 0.01), and quadratic terms ( B 2 , C 2 ) also significantly influenced extraction rates. 3.2.3.
It can be shown that A, A 2 , B 2 , and C 2 had a highly significant effect on the extraction yield ( p -value < 0.01).
All of the obtained regression models were highly significant ( p < 0.01), and the lack of fit was not significant ( p > 0.05), indicating that the models were effective and had high predictive values.
Protein levels exhibited significant positive correlations with hyperoside (r = 0.857, p < 0.01) and rutin (r = 0.849, p < 0.01), as well as a highly significant positive correlation with quercetin (r = 0.947, p < 0.01).
The p -values for the three response models—moisture content (Y 1 ), crispness (Y 2 ), and sensory score (Y 3 )—all reached a highly significant level ( p < 0.01).
Furthermore, squalene exhibited a highly significant positive correlation with ABTS ( r = 0.80; p < 0.01), potentially explaining the high ABTS radical scavenging ability of C.G ( Figure 7 b), as its squalene content was significantly higher than that of other types of camellia oils (p < 0.05) ( Figure 4 a).
Moreover, an immunofluorescence staining assay revealed a decreasing trend in the proportion of slow myofibers and an increase in fast myofibers in mice treated with BBE ( p < 0.01 for BBE50 and BBE100 in slow and fast myofibers) ( Figure 4 E,F).
A highly significant positive correlation ( r = 0.955 ** , p < 0.01) between EGCG concentration and hydrogen peroxide yield was observed below the first point (100 μM), whereas a highly significant negative correlation ( r = –0.915 ** , p < 0.01) was observed above the second point (300 μM).
Figure 1 J showed that all of the concentrations of HAE enhanced whey protein content in a dose-dependent manner, with significant ( p < 0.05) and highly significant ( p < 0.01) enhancements at 200 and 400 μg/mL, respectively.
The regression model is highly significant ( p < 0.01), with a non-significant lack of fit, indicating the reasonableness of the regression model and its good fit.