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Article
Peer-Review Record

Combining Medicinal Plant In Vitro Culture with Machine Learning Technologies for Maximizing the Production of Phenolic Compounds

Antioxidants 2020, 9(3), 210; https://doi.org/10.3390/antiox9030210
by Pascual García-Pérez 1, Eva Lozano-Milo 1, Mariana Landín 2 and Pedro Pablo Gallego 1,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Antioxidants 2020, 9(3), 210; https://doi.org/10.3390/antiox9030210
Submission received: 17 February 2020 / Revised: 27 February 2020 / Accepted: 2 March 2020 / Published: 4 March 2020
(This article belongs to the Section Natural and Synthetic Antioxidants)

Round 1

Reviewer 1 Report

The paper entitled: "Combining medicinal plant in vitro culture with machine learning technologies for maximizing the production of phenolic compounds." by Pascual García-Pérez et al is a very interesting manuscript presenting a new approach provoding a new approach of the study of natural products.

Major Comments

  • I suggest to provide a deeper analyis on the correlation of these results with other pure compounds (used as positive pcontrols)
  • I suggest to provide more information regarding DPPH test a]

Author Response

Please see the attachment

Author Response File: Author Response.docx

Reviewer 2 Report

Suggestions:
- Lines 166-168 (Formula 1): write on one line
- Line 169: "yi stand" - I suggest "where yi stand"
- Line 169: replace "yi stand" with "where yi stand"
- Line 170: replace "anti-radical" with "radical"
- In Table 3: "TPC-" replace with "TPC"
- In Table 3: "RSA)" replace with "RSA"

Author Response

Please see the attachment

Author Response File: Author Response.docx

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