However, an extremely significant ( p < 0.01) lower CI index was detected in the MLT-treated fruit throughout the 20 h of storage at 25 °C compared to that of the untreated fruit ( Figure 1 ). 3.2.
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However, there is a highly significant linear correlation between amounts of ribose and glucose and the rising concentrations of norharman ( r = 0.92, p < 0.01 and r = 0.98, p < 0.001, respectively) and harman ( r = 0.98, p < 0.001 and r = −0.72, p < 0.05, respectively).
At the end of the storage period, the count was below an arbitrary maximum acceptable limit of 7.0 Log CFU/g [ 17 ], and the effect of chitosan in containing the growth was highly significant ( p < 0.01).
[ 9 ] found that the effect of harvest year on dietary fiber was highly significant ( P < 0.01), to the point of having blocked the observation of cultivar differences.
Furthermore, the 100-permutation test ( Figure 2 f) yielded a highly significant result ( p < 0.01), confirming the statistical robustness of the PLS-DA model.
In ‘Surkh’, storage interval had a highly significant effect on chilling injury ( p ≤ 0.01), and TG-coated fruit consistently exhibited lower injury; at 20 days of cold storage plus 2 days at 20 °C ± 1 °C, TG-treated fruit recorded an injury score of 3.4 compared with 4.0 in the control ( Figure 2 B).
The interaction of STEC isolate by antimicrobial treatment was highly significant for describing STEC survival on hide pieces ( p < 0.01) ( Table 2 ).
Among these, GT, CE, and PL exhibited highly significant differences ( p < 0.01), whereas no significant difference was observed at the level of Glycoside Hydrolases (GH) ( p > 0.05).
When comparing the sixteen characteristics related to water at the two collection sites, highly significant differences ( p < 0.01) were observed for most of the variables evaluated.
Furthermore, the interactive effects of phenolic extract concentration-drying temperature and phenolic extract concentration-feed flow rate were significant ( p < 0.05); and the interaction between drying temperature and feed flow rate was highly significant ( p < 0.01).
The only parameter that presented highly significant difference among seasons (winter, summer > autumn) and dairies was chewiness ( p < 0.01).
Combined with the results of the correlation analysis in Table 2 , the amount of yeast added had a significant effect on the three factors of total sugar, vitamin C, and flavonoids in the wine samples, with highly significant negative correlations with total sugar ( p < 0.01), significant positive correlations with vitamin C ( p < 0.05), and highly significant positive correlations with flavonoids ( p < 0.01). 3.7.
Significance was set at p < 0.05 (highly significant: p < 0.01).
Post-image analysis with a curve regression model revealed a highly significant correlation between the transverse relaxation time T2 and shear force, with a correlation coefficient of −0.996 ( p < 0.01) and a fitting regression coefficient of 0.942.
In addition, as fluctuation in the temperature of the storage environment increased, the correlation between some indicators was enhanced, for example, the correlation between ADP and some indicators (such as EL, MDA, O 2 · − , H 2 O 2 , etc.) changed from significant ( p < 0.05) to extremely significant ( p < 0.01) ( Figure 8 A–C).
Linear X 1 , X 4 coefficients had highly significant ( p < 0.01) effects on FRAP, while the X 1 2 and X 1 2 had significant effects ( p < 0.05) on FRAP.
The mushroom-characteristic VOCs 1-Octen-3-one showed highly significant positive correlations with the bitter amino acids Met and Phe ( p < 0.01).
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.
The L value in the cold-shocked group was significantly positively correlated with firmness, protein content, VC, chlorophyll content, and CAT and APX activities ( p < 0.05), with highly significant correlations ( p < 0.01) for firmness, protein, VC, and chlorophyll content.
Effect of Sucrose on Natto Figure 1 (a 2 ,b 2 ,c 2 ) reveals that the amount of sucrose has a highly significant ( p < 0.01 obtained by one-way ANOVA analysis) impact on the sensory score of natto.
Differences were considered statistically significant at p < 0.05 and highly significant at p < 0.01.
The model was highly significant ( p < 0.01), and the lack-of-fit was not significant ( p > 0.05), indicating that the model adequately accurately predicted the experimental data.
In LCHN, the moisture content of boluses showed a highly significant positive correlation with the amount of saliva added (r = 1.000) and saliva flow rate (r = 0.961) ( p < 0.01), indicating that the moisture content of boluses affects the amount of saliva added and saliva flow rate, and both the amount of saliva added and saliva flow rate increase with an increase in the moisture content of boluses.
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).
A more detailed comparison revealed that the group treated with n -butanol was 32.81%, 47.67%, and 29.25% lower than that of the control group at d 7, 14, and 35 d of storage, respectively, which was highly significant ( p < 0.01), and Figure 8 b shows that the level of expression of CmPLD-β in the group treated with n -butanol was lower than that in the control group at the selected storage time points, which was consistent with the PLD activity ( Figure 8 a).