Reviewer #1:
Reviewer: 1
In general, the paper is linguistically weak and hard to understand. In addition, it needs to expand on details related to methodology, results and discussion.
[Response] We appreciate Reviewer #1’scomments and have revised as suggested.
2. The author did not provide a compelling reason for choosing ANN for this spectroscopic application. In FTIR spectroscopy, the relationship between absorbance and the concentration of the analyte of interest is a linear one as established by Beer’s law. ANN is a powerful algorithm used to model non-linear relationships between multiple predictors and responses in big datasets. In this paper, the author used only three FTIR peaks for 156 spectra, as I understood it. This dataset does not qualify as big data and the relationship between absorbance and concentration is already a linear one.
[Response] Thanks for your comments.There is no one-to-one correspondent relationship between these chemical indexes (polar compounds, free fatty acids, hydroperoxide) and the selected peak areas, therefore they may be not absolutely the linear relationships between the chemical indexes and the selected peaks. Many researches also used the ANN to calibrate the model with the spectra and other chemical index indicating it is available for choosing ANN for this spectroscopic application