The manuscript entitled: "Methodologies based on ASCA to elucidate the influence of a
subprocess: vinification as a case of study" aims at investigating an intentional acetic
contamination of the vinification process by means of FT-MIR and ASCA. The manuscript is clear and well-written, the rationale behind the study is supported by the literature, and, in general, the study seems properly conceived. Moreover, the authors claim it is the first time ASCA is used to study the wine alcoholic fermentation process. I personally think the manuscript can be accepted for publication after minor corrections. You will find my comments below:
Q1) The only unclear aspect I have detected on the manuscript is related to the preprocessing. At Line 175 the authors say: "Different data pre-processing methodologies were tested in the different ASCA models:
Standard Normal Variate (SNV), Savitzky-Golay smoothing (2nd order polynomial and 15 data 175 points), 1st and 2nd Savitzky-Golay derivative; and combinations of them."
How did you define the most suitable one?

Q2) In Table I the results obtained when data is preprocessed by bare mean-centering (MC) and by SNV are reported. Nevertheless, only the outcome based on MC is discussed in detail. Why did you show also SNV here? If you do not comment on data preprocessed by SNV, isn't it better to included these results in table S1?

The authors have properly modified the manuscript taking into account reviewers' comments. I think this work is suitable for acceptance.