Finding the best principle component
By doing PCA, the principal components you will get will not correspond to a single recording, but rather to a mix between them. PCA is a feature extraction method, whereas what you are looking for, seems to me, as a feature selection problem.

Also, if you have so many simultaneous recordings, all affected by the same sources of noise, why not perform active noise cancelation?