Table 1.

Statistical analysis

	Data structure	Statistical test	Power
a	Normality not assumed	Kruskal–Wallis test	p = 0.0070
b	Normality not assumed	Kruskal–Wallis test	p = 0.0035
c	Normality not assumed	Kolmogorov–Smirnov test	p < 0.0001
d	Normality not assumed	Kruskal–Wallis test	p = 0.8521
e	Normality not assumed	Kruskal–Wallis test	p = 0.0240
f	Normality not assumed	Kruskal–Wallis test	p = 0.0090
g	Normality not assumed	Kruskal–Wallis test	p = 0.1767
h	Normality not assumed	Kruskal–Wallis test	p = 0.0275
i	Normality not assumed	Kruskal–Wallis test	p = 0.0132
j	Normality not assumed	Kruskal–Wallis test	p = 0.7934
k	Normality not assumed	Kruskal–Wallis test	p = 0.9565
l	Normality not assumed	Kruskal–Wallis test	p = 0.0753
m	Normality not assumed	Kruskal–Wallis test	p = 0.3157
n	Normality not assumed	Kruskal–Wallis test	p = 0.0390
o	Normality not assumed	Kruskal–Wallis test	p = 0.3932
p	Normality not assumed	Mann–Whitney test	p < 0.0001
q	Normality not assumed	Mann–Whitney test	p = 0.5251
r	Normality not assumed	Mann–Whitney test	p = 0.9075
s	Normality not assumed	Mann–Whitney test	p < 0.0001
t	Normality not assumed	Mann–Whitney test	p = 0.7454 at 12.5 µm p = 0.0046 at 25.0 µm p = 0.0139 at 37.5 µm p = 0.0290 at 50.0 µm p = 0.2292 at 62.5 µm p = 0.1862 at 75.0 µm p = 0.2434 at 87.5 µm p = 0.3587 at 100.0 µm p = 0.0745 at 112.5 µm
u	Normality not assumed	Kruskal–Wallis test	p < 0.0001
v	Normality not assumed	Kruskal–Wallis test	p = 0.0002
w	Normality not assumed	Kruskal–Wallis test	p = 0.9946