Slaughterhouse Wastewater Properties Assessment by Modern and Classic Methods
Round 1
Reviewer 1 Report
Comments and Suggestions for AuthorsTitle: “Slaughterhouse wastewater properties assessment by modern and classic methods” which has been submitted to Journal of the journal Water. The entire text should be carefully checked for misprints and language errors, professional proofreading seems necessary. This manuscript can be accepted after a major revision.
This study represents a significant advancement in the field of wastewater treatment monitoring and analysis. Utilizing a combination of 1H Nuclear Magnetic Resonance (NMR) relaxometry and diffusometry, along with VIS-nearIR spectroscopy, and traditional measurements such as pH, electric conductivity (EC), and total dissolved solids (TDS), the research provides a comprehensive and multifaceted approach to evaluating wastewater properties at different stages of treatment.
1. Innovative Methodology:
How does the application of advanced 1H NMR techniques, such as Carr-Purcell-Meiboom-Gill (CPMG) and Pulsed-Gradient-Stimulated-Echo (PGSE), enhance the understanding of wastewater properties and their molecular dynamics?
What are the benefits of using inverse Laplace transform (ILT) to analyze decay curves from NMR experiments, particularly in extracting T2 and D distributions?
2. Robust Data Analysis:
How effectively does the combination of NMR data with VIS-nearIR spectroscopy and conventional measurements (pH, EC, TDS) provide a comprehensive assessment of wastewater properties?
In what ways does this integrative approach ensure a thorough evaluation of the treatment process at various stages?
3. Effective Use of Multivariate Analysis:
How does principal component analysis (PCA) help in differentiating between polluted and less polluted wastewater samples, as well as between different treatment stages?
What key parameters influencing wastewater quality are highlighted by the PCA?
4. Practical Implications:
What evidence does the study provide to demonstrate the efficiency of the slaughterhouse’s wastewater treatment process?
How do the recommended methods (NMR T2- and D-distributions, EC, TDS, NMR-D diffusion coefficient) contribute to ongoing monitoring and practical application in the industry?
5. Machine Learning Integration:
How does the integration of Machine Learning algorithms enhance the predictive capabilities for determining the stage of wastewater treatment based on analyzed parameters?
In what ways does this predictive approach validate the data and support real-time monitoring and decision-making?
6. Conclusion and Impact:
How does this study contribute to the field of environmental science and engineering, particularly in the context of wastewater treatment monitoring?
What future studies or practical applications can be built upon the solid foundation provided by this research?
7. Recommendation:
Given the innovative approach, comprehensive analysis, and practical significance, how would you assess the value of this study for publication?
In what ways can the findings and methodologies presented in this research benefit both the scientific community and the wastewater treatment industry?
These questions aim to highlight the key strengths and contributions of the study, encouraging reviewers to recognize the innovative methodology, robust data analysis, practical implications, and forward-thinking integration of Machine Learning.Title: “Slaughterhouse wastewater properties assessment by modern and classic methods” which has been submitted to Journal of the journal Water. The entire text should be carefully checked for misprints and language errors, professional proofreading seems necessary. This manuscript can be accepted after a major revision.
Author Response
Please see the attachment
Author Response File: 
Author Response.pdf
Reviewer 2 Report
Comments and Suggestions for AuthorsDear Authors,
The manuscript ID: water-3105089, entitled " Slaughterhouse wastewater properties assessment by modern and classic methods" aims to investigate the efficiency of modern methods such as 1H NMR relaxometry and diffusometry, VIS-nearIR spectroscopy to analyze different wastewaters collected during the treatment process in the slaughterhouse such as raw, biologically treated, chemically treated and discharged wastewaters. The study is interesting and useful and fits well within the scope of the water journal. However, in my opinion, the manuscript needs some minor revisions to improve its quality, clarifying its objective, before it is ready for publication.
Introduction - The introduction needs a review to present the limitations of traditional methods (such as total suspended solids (TSS), total dissolved solids (TDS), pH and chemical oxygen demand (COD)) for characterizing wastewater and to highlight the importance of developing and using new methods such as 1H-NMR relaxometry and diffusometry and VIS-nearIR spectroscopy. The discussion should highlight the importance of using these ‘non-classical methods’ to characterise wastewater and explain how the knowledge gained from these ‘non-classical methods’ can influence the treatment approaches to be applied.
Line 80, Please include some references.
Line 170, Please define “as soon as possible”. Were the samples stored at room temperature?
Line 273, According to Fig. 2a, the discharged and the untreated wastewaters present a similar decay. How did the authors explain this?
Please define acronyms only in their first appearance.
Figure 14, Please correct CP to PC.
Conclusions - This section should be revised to eliminate a detailed description of the results, as these belong in the ‘results’ and ‘discussion’ sections. Instead, focus on summarising the main conclusions and their implications. Please also include in the ‘conclusions’ section the advantages of using these non-classical methods to characterize wastewaters. Emphasise how these methods offer a more detailed and accurate view compared to traditional techniques, leading to better treatment strategies and more efficient wastewater management.
Author Response
Please see the attachment
Author Response File: Author Response.pdf
