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Article
Peer-Review Record

Prediction of Arsenic Removal from Contaminated Water Using Artificial Neural Network Model

Appl. Sci. 2022, 12(3), 999; https://doi.org/10.3390/app12030999
by Mohammed Al-Yaari 1,*, Theyazn H. H. Aldhyani 2 and Sayeed Rushd 1
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Appl. Sci. 2022, 12(3), 999; https://doi.org/10.3390/app12030999
Submission received: 1 January 2022 / Revised: 16 January 2022 / Accepted: 17 January 2022 / Published: 19 January 2022

Round 1

Reviewer 1 Report

See the pdf file for my comments.

Comments for author File: Comments.pdf

Author Response

Dear Respected Reviewer,

Greetings & Many thanks for your valuable comments.

Please find attached the authors' response to your fruitful comments.

Thanks again with best regards

Author Response File: Author Response.pdf

Reviewer 2 Report

This manuscript deals with the removal of arsenic from contaminated water. 

The manuscript should be significantly improved. These changes should be mainly in the way the results are interpreted. I enclose the following comments.

The abstract should be factual and should include background, results and conclusions.

At the beginning of the manuscript, it is necessary to significantly emphasize the novelty and scientific contribution of the work.

The interpretation of the introduction should be improved and a comparison of the current literature with this work.

Pay attention to this paper

http://www.jeionline.org/index.php?journal=mys&page=article&op=view&path%5B%5D=200800132

The language of the manuscript should be significantly improved.

Line 32, adsorption: This important document dealt with this in detail. Please comment here. https://www.sciencedirect.com/science/article/pii/S2213343721017693?via%3Dihub

Line 35, water treatment: https://www.sciencedirect.com/science/article/pii/S0304389420316149

Provide a list of the most important abbreviations at the beginning of the manuscript to help readers better navigate the manuscript.

Line 54-64: Emphasize the main scientific contribution of your work.

Line 66: ,,Data,, change to ,,Database of heavy metals,,

Line 104: Please improve the notation and interpretation of this equation.

Line 127: Improve the quality of this figure. Descriptions are slightly blurred.

Line 180: Please indicate measurement deviations.

Line 193 and 214: The same here.

Line 258: I would suggest to distinguish the graphs in color to better see the differences.

Line 263: Indicate the possible risks of such research. Add your recommendations for future research.

Line 299: Make sure the references are added correctly according to the journal's instructions.

 

Author Response

Dear Respected Reviewer,

Greetings & Many thanks for your valuable comments.

Please find attached the authors' response to your fruitful comments.

Thanks again with best regards

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Authors answered all questions and now can be manuscript accepted. 

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