PCA for Compositional Data using R

Good evening!
As the title suggest, I'm approaching to PCA for compositional Data.
The dataset is about 5200 proteins for which is recorded a value for the chromatography in 30 intervals (obviously, the sum of every row is equal to 1).
According to Aitchison's theory, I scaled data with Aitchison Geometry with the appropriate command in R.
Then I approached PCA with "princomp" command.
I would do the following steps:
---Screeplot in order to decide how many components I have to consider;
---Biplot for the component 1-2 and biplot for component 3-4;
---3d plot for the first 3 components.

Is there anything that I have to do further?

Thank you very much,