The results indicated that the three key phenolic acids exhibited highly significant positive correlations with serum SOD activity and T-AOC levels (R 2 > 0.9, p < 0.01), which strongly demonstrated that the phenolic acid compounds produced during fermentation serve as the direct material basis for enhancing the antioxidant status of the body.
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However, the protease had a highly significant impact on it ( p < 0.01).
Among the variables, peptide/calcium mass ratio, pH, and temperature all had extremely significant effects on the chelation rate ( p < 0.01), while the effect of chelation time was not significant ( p > 0.05).
There are an extremely significant negative correlation ( p < 0.01) and the most significant negative correlation ( p < 0.001) between omega–muricholic acid and allocholic acid and cholesterol, respectively.
The linear terms A, B and the quadratic terms A 2 , B 2 exerted a highly significant influence on the calcium content ( p < 0.01), while the interaction terms (AC, BC) exerted a significant influence (0.01 < p < 0.05).
* Indicates a significant difference ( p < 0.05) between the control group and the 0.5 ppm thyme essential oil treatment group under the same storage time; ** indicates an extremely significant difference ( p < 0.01) between the control group and the 0.5 ppm thyme essential oil treatment group under the same storage time. 3.
As shown in Section 3.1.4 , the DG values determined by the iodine-binding method and DSC exhibited a highly significant positive correlation ( p < 0.01) for both K10 and K27.
The analysis revealed a highly significant negative correlation between particle size and free sulfhydryl content (r = −0.932, p < 0.01).
Among them, the protein levels of TLR4 and MyD88 in the Bilo+Ly group were extremely significant ( p < 0.01).
The barrel temperature had a highly significant effect on the polysaccharide content of Codonopsis pilosula extrudate ( p < 0.01), the moisture content of the material had a significant effect ( p < 0.05) and the screw speed had no significant effect ( p > 0.05).
Analysis of variance (ANOVA) revealed highly significant effects ( p < 0.01) on the comprehensive performance index (K-value) from the linear terms of pullulan (B) and glycerol (C), quadratic terms (A 2 , B 2 , C 2 ), and the BC interaction term.
Significance was determined at p < 0.05, and highly significant differences were noted at p < 0.01.
Concurrently, the M group displayed a highly significant increase in body mass ( p < 0.01), with a gain of 6.56%.
With increasing slope on the AB and AD surfaces, the interactive effect was highly significant ( p < 0.01), the AC interactive effect was significant ( p < 0.05), and the BC , BD , and CD interactive effect were not significant ( p > 0.05).
The values were highly significant for the attributes of price, information on slaughter and production standards ( p < 0.01) while for information on regional benefits, only the attribute levels of fair payment and a transparent supply chain were significant ( p < 0.05).
The eGI and HI values exhibited highly significant negative correlations ( p < 0.01) with the protein content and ash content of wheat flour, while showing a significant negative correlation ( p < 0.05) with the D(4,3) volume mean diameter.
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).
The compounds 3-ethyl-benzaldehyde, 3-methyl-3-buten-1-ol, 2-propyl-1-heptanol, 2,3-dimethyl-1-butanol, and 2-ethyl-hexanoic acid showed highly significant negative correlations with the heat-sensitive indicators furosine and lactulose when the heat treatment temperature of milk increased ( p < 0.01); a highly significant positive correlation with immunoglobulin G, α-lactoalbumin, and β-lactoglobulin ( p < 0.01); and a significant positive correlation with lactoferrin ( p < 0.05).
There was a significant negative correlation between Bacillus and ethyl hexanoate ( p < 0.05), Pichia showed a significant negative correlation with ethyl isobutyrate ( p < 0.05), Candida showed a highly significant negative correlation with ethyl butyrate ( p < 0.01), and Rhodosporidium was significantly positively correlated with ethyl butyrate ( p < 0.05).
The effect of SS and FS was a highly significant positive one ( p < 0.01) on E, R 50 , R max and R/E whereas SD had a negative effect on these variables.
The rescue capacity was highly significant ( p ≤ 0.01) for Shawaya short black-1, IS1311C, and QL33 but not significant ( p > 0.05) for the others.
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).
Additionally, a highly significant positive correlation ( p < 0.01) was observed between free radical scavenging rates (DPPH and ABTS + ) and TPC in this study.
As shown in Figure 9 , 8 pairs of indicators showed a highly significant correlation ( p ≤ 0.01), and 8 pairs of indicators showed significant correlation ( p ≤ 0.05).
Compared with the native CWCS starch, a highly significant decrease ( p ≤ 0.01) was observed in all viscosity parameters of single HM-modified samples (HM15%-CWCS, HM20%-CWCS, HM25%-CWCS), as well as a significant decrease ( p ≤ 0.05) in US200-CWCS, US400-CWCS, US600-CWCS.