Reading Waveforms Direct from Sparkfun Analog MEMS Breakout?

Hi y’all! I’ve been trying to correlate sound energy from a stream of liquid hitting water with its flowrate. To do this, I’ve been measuring the change in mass in trials with a RS232 scale being fed through serial (which can then be approximated to flowrate with the sample rate), and trying to map this to the microphone’s output. I’ve edited the [sample code for the [mic on board to map from 1 to 100 instead of 1 to 10. I also slowed down it’s sample rate to 5 Hz to match the scale (for some reason I haven’t gotten PySerial to play nice at the original 20 Hz) but as a result I’m throwing out a lot of data that might be relevant. With some post-processing and data analysis, I’m not seeing results as clean as I would like so I was thinking of looking at a direct audio read from the mic (probably to .wav on Audacity or the like). How would I accomplish this (is there a way to do so through an Arduino or other board, or would I be best served cutting up a 3.5mm audio jack and splicing it to the board (and powering the board separately)?](https://www.sparkfun.com/products/18011)](https://learn.sparkfun.com/tutorials/mems-microphone-hookup-guide#arduino-software-example)

You could cut the audio plug and run the signal line to an analog input on the arduino or similar