## 3 Results and Discussion
### Impact of Ingredients and Processing Conditions on Phenolic Content and Antioxidant Activity
#### 3.3.2 Content of Polyphenols Based on Folin-Ciocalteu Method  
In order to determine total content of polyphenols (TPC), Folin-Ciocalteu method was used. The study results revealed explicit correlation between content of blueberry and TPC (Table 6). Higher content of polyphenols leaded to higher antioxidant activity of samples. The TPC results confirmed the assumption due to the fact that higher content of fruit caused better free radical scavenging. Comparing TPC for potato base and food product enriched with whortleberry, the positive impact of fruits on secondary plant metabolites is evident. The studies revealed that 10%, 20% and 30% of additive content cause increase in TPC value: 43.2; 83.6 and 117 ug GAE /g dry weight, respectively, which is a significant increase in the content of active antioxidants. Similarly to DPPH assay, production parameters have impact on TPC value. In this case, the most promising turned out to be 36% sm and 100 rpm. An analysis of the influence of the polyphenol content of berries on antioxidant properties was also carried out by the [PERSON] et al. [45]. They studied the following berries: raspberry, blackberry, blueberry, mulberry and black chokeberry analyzing their antioxidant activities and polyphenol compositions (juice and pomace). The results explicitly indicted that pomace from red raspberry is the most potent antioxidant agent. The high antioxidant \begin{table}
\begin{tabular}{c c c} \hline \hline
**Blueberry Addition** & **Production Parameters** &
\begin{tabular}{c} **Total Phenolic Content** \\ **[ug GAE/g Dry Weight]** \\ \end{tabular} \\ \hline
0\% & 32\% sm,60 rpm & 19.1 \(\pm\) 0.12 [FOOTNOTE:]Footnote : *-means indicated with similar letters in columns do not differ significantly at \(\alpha\) = 0.05.[ENDFOOTNOTE] \\
0\% & 36\% sm, 60 rpm & 21.7 \(\pm\) 0.07 [FOOTNOTE:]Footnote : *-means indicated with similar letters in columns do not differ significantly at \(\alpha\) = 0.05.[ENDFOOTNOTE] \\
0\% & 32\% sm, 100 rpm & 23.1 \(\pm\) 0.06 [FOOTNOTE:]Footnote : *-means indicated with similar letters in columns do not differ significantly at \(\alpha\) = 0.05.[ENDFOOTNOTE] \\
0\% & 36\% sm, 100 rpm & 21.8 \(\pm\) 0.05 [FOOTNOTE:]Footnote : *-means indicated with similar letters in columns do not differ significantly at \(\alpha\) = 0.05.[ENDFOOTNOTE] \\
10\% & 32\% sm, 60 rpm & 43.2 \(\pm\) 0.11 [FOOTNOTE:]Footnote : *-means indicated with similar letters in columns do not differ significantly at \(\alpha\) = 0.05.[ENDFOOTNOTE] \\
10\% & 36\% sm, 60 rpm & 40.6 \(\pm\) 1.11 [FOOTNOTE:]Footnote : *-means indicated with similar letters in columns do not differ significantly at \(\alpha\) = 0.05.[ENDFOOTNOTE] \\
10\% & 32\% sm, 100 rpm & 35.2 \(\pm\) 0.99 [FOOTNOTE:]Footnote : *-means indicated with similar letters in columns do not differ significantly at \(\alpha\) = 0.05.[ENDFOOTNOTE] \\
10\% & 36\% sm, 100 rpm & 43.2 \(\pm\) 0.89 [FOOTNOTE:]Footnote : *-means indicated with similar letters in columns do not differ significantly at \(\alpha\) = 0.05.[ENDFOOTNOTE] \\
30\% & 32\% sm, 60 rpm & 106.4 \(\pm\) 10.12 [FOOTNOTE:]Footnote : *-means indicated with similar letters in columns do not differ significantly at \(\alpha\) = 0.05.[ENDFOOTNOTE] \\
30\% & 36\% sm, 60 rpm & 102.4 \(\pm\) 9.71 [FOOTNOTE:]Footnote : *-means indicated with similar letters in columns do not differ significantly at \(\alpha\) = 0.05.[ENDFOOTNOTE] \\
30\% & 32\% sm, 100 rpm & 113.0 \(\pm\) 7.77 [FOOTNOTE:]Footnote : *-means indicated with similar letters in columns do not differ significantly at \(\alpha\) = 0.05.[ENDFOOTNOTE] \\
30\% & 36\% sm, 100 rpm & 117.0 \(\pm\) 5.65 [FOOTNOTE:]Footnote : *-means indicated with similar letters in columns do not differ significantly at \(\alpha\) = 0.05.[ENDFOOTNOTE] \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Total phenolic content determined for functional food samples enriched with 0%, 10% and 30% of blueberry based on Folin-Ciocalteu method (\(n\) = 3, mean \(\pm\) SD).