Quantifying the Impact of Light on Ascorbic Acid Content in Lettuce: A Model Proposal

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

The manuscript describes “ A Model Proposal：Quantifying the Impact of Light on Ascorbic Acid Content in Lettuce”. This model not only aids in enhancing the development of AsA in lettuce but also assists farmers in achieving more sustainable agricultural practices by identifying optimal light spectra and DLI. This work is interesting, which can be accepted after somes revision.

 

1. In Dataset on Ascorbic Acid,  A total of 8 treatments were tested, and 34 experiments were analyzed. More samples shoud be added.

2. In Dataset on Ascorbic Acid, Each treatment continued for either 12 or 15 days. A longer time is need.

3. In UPLC, the treatment process of AA real sample should be provided.

4. The results of this study should be compared with the methods that have been reported, and should be validated with the methods that have been applied in practice.

Comments on the Quality of English Language

The manuscript describes “ A Model Proposal：Quantifying the Impact of Light on Ascorbic Acid Content in Lettuce”. This model not only aids in enhancing the development of AsA in lettuce but also assists farmers in achieving more sustainable agricultural practices by identifying optimal light spectra and DLI. This work is interesting, which can be accepted after somes revision.

 

1. In Dataset on Ascorbic Acid,  A total of 8 treatments were tested, and 34 experiments were analyzed. More samples shoud be added.

2. In Dataset on Ascorbic Acid, Each treatment continued for either 12 or 15 days. A longer time is need.

3. In UPLC, the treatment process of AA real sample should be provided.

4. The results of this study should be compared with the methods that have been reported, and should be validated with the methods that have been applied in practice.

Author Response

Please see the attachment 

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The presented work "Quantifying the Impact of Light on Ascorbic Acid Content in Lettuce: A Model Proposal" is devoted to the development of a methodology for analyzing the effect of various lighting parameters on the accumulation of ascorbic acid in lettuce leaves. This study implements a revisionist approach to previously obtained experimental data.
The main advantage of this study is the detailed description of the research methodology itself.
The work contains minimal editorial flaws:
- in lines 156 and 157, the parameters I_c and I_t are indicated, respectively, as Ic and It

Author Response

Please see the attachment 

Author Response File: Author Response.docx

Reviewer 3 Report

Comments and Suggestions for Authors

Review report sustainability-3147381-peer-review-v1

The research article titled "Quantifying the Impact of Light on Ascorbic Acid Content in Lettuce: A Model Proposal" addresses an important aspect of food science, specifically focusing on the nutritional content of lettuce in relation to light exposure. The study proposes a model to quantify how varying light conditions impact the ascorbic acid (vitamin C) content in lettuce, which is essential for both plant physiology and human nutrition.

The article is well-written and thoughtfully conceptualized, with clear and precise language. The writing is of high quality, and the grammar is excellent throughout.

General comments:

This study is highly significant given the growing interest in optimizing agricultural practices to enhance nutritional quality. The proposed model could serve as a valuable tool for both researchers and agricultural professionals seeking to optimize light conditions to maximize nutrient content.

Methodology:

The study combines experimental and modeling approaches, exposing lettuce to various light conditions (intensity, duration, wavelength) and measuring the resulting ascorbic acid content. The proposed model, based on this empirical data, predicts ascorbic acid levels under different light conditions, with validation through statistical analysis.

Results and discussion:

The presentation of the figures and table clearly presentenced the outcomes and reflects the model observations. The study specifically finds that certain light conditions, like higher intensity and specific wavelengths, significantly increase ascorbic acid levels. The proposed model accurately predicts ascorbic acid content based on light variables, indicating its potential as a valuable tool for forecasting nutrient levels in lettuce under controlled light conditions.

Conclusion:

To improve the study, incorporating a wider range of lettuce varieties and environmental conditions could enhance the model's generalizability. Future research should also investigate the interaction between light and other environmental factors for a more comprehensive model.

 

Author Response

Please see the attachment 

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

Comments and Suggestions for Authors

the paper have been improved, it can be published.

Comments on the Quality of English Language

Minor editing of English language required.