highly significantp < 0.01
A Pearson correlation analysis between random variables is often used to reduce experimental noise [ 62 , 63 ] and, after analysis of the data, it was noted that the SD configuration (CC, MX, and CC + MX) had a highly significant positive correlation ( p < 0.01) with the mean sizes of the powder particles ( Figure 2 ).