Raman Spectroscopy and Its Application in Fruit Quality Detection
, Huasheng Huang 1, Zhiping Tan 1, Chaojun Hou 2, Jiajun Zhuang 2 and Yu Tang 1,*
Round 1
Reviewer 1 Report
Comments and Suggestions for AuthorsThe content of the paper is sound with the section"
Agricultural Product Quality and Safety" of the Journal Agriculture.
The Raman effect is well explained, as well as how to exploit SERS, Confocal Raman and SORS, together with the scheme of instruments for performing Raman measurements.. The table with reference summarizing the concepts and where to find more detailed explanations is very useful and clear. Also, the main principles of data pre-processing and processing (PCA, PLS, OPLS, LDA, SVM, etc.) are clearly described with references for more detailed info.
This paper can be useful for occasional readers as well as for more expert scientists to wrapup Raman spectroscopy and its use for fruit quality assessment and for the detection of the most common pesticides. The most common fruits and vegetables such as citrus, apple, tomato, grapefruit, pear, strawberry, peach, are wisely considered and the most important examples found in literature are mentioned.
What is missing is a wrapup of the most important instruments available at the moment, and how to chose the best wavelength for Raman excitation (or for SERS). There are so many new instruments for Raman spectroscopy, that a list of the most important instruments would add value and complete this nice paper.
A non exhaustive list of instrument is enclosed, however the writers could improve with a google search of what is available at the time of writing.
I am strongly suggesting to add a paragraph on the available instruments, or adding in the tables the instrument used, especially mentioning the most convenient wavelength.
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Reviewer 2 Report
Comments and Suggestions for Authors1. In Section 2.1, where the paper explains the basics of Raman spectroscopy, it would help to mention how things like ambient light or temperature changes can interfere with the results.
2. In Section 2.2, the part about Surface-Enhanced Raman Spectroscopy (SERS) does a good job explaining the role of metal nanoparticles，a simple comparison table or a few lines about which metal works better for certain fruit compounds would give readers clearer guidance.
3. when discussing Principal Component Analysis (PCA) and feature extraction, maybe adding a quick example or a heads-up about how this could impact the accuracy of fruit disease detection models would give a more balanced view.
4. Things like texture and chemical makeup can throw off the results. Suggesting that spectra could be averaged from different points on the fruit might make the method more reliable and thorough.
Author Response
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Reviewer 3 Report
Comments and Suggestions for AuthorsThe present paper proffers a review that is oriented towards Raman spectroscopy and its application in the detection of fruit quality. The work is considered to be relevant for the quality of fruits.
It is considered pertinent to add a comparative table in section 3.2 of the comparative table of Feature Extraction, Model Establishment and Costs.
Author Response
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