Flavor and Aroma Analysis as an Approach to Quality Control of Foods

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Quality and Safety".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 531

Special Issue Editors


E-Mail Website
Guest Editor
Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China
Interests: flavor and aroma compounds; food processing; quality assessment; novel analytical methods; AI-driven chemometrics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China
Interests: food flavor; sensomics; food processing; quality evaluation; cross-modal interactive perception

E-Mail Website
Guest Editor
College of Food Science, Southwest University, Beibei District, Chongqing 400715, China
Interests: flavor analysis; sensomics; metabonomics; tea processing; tea quality evaluation

Special Issue Information

Dear Colleagues,

Flavor and aroma are critical determinants of food quality, with a profound impact on consumer acceptance and preference. Revealing the association between sensory attributes and food quality is the foundation for controlling food quality through flavor and aroma analysis. The development of novel analytical techniques and the application of chemometric methods make it easier to screen key markers as reliable indicators of food quality. Due to the complexity of food matrices, sample pretreatment and method optimization may be required to more accurately and efficiently measure these target compounds. The rapid advancement of artificial intelligence has accelerated the establishment of precise models based on flavor and aroma analysis to detect adulteration, monitor freshness, and optimize the processing conditions of food. By integrating sensory science, analytical techniques, and data processing, this Special Issue aims to provide valuable insights into the complex chemistry behind food flavors and pave the way for smarter, data-driven quality control systems.

Dr. Ying Gao
Dr. Yuming Wei
Dr. Qing Meng
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Foods is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sensomics
  • analytical method optimization
  • quality assessment
  • food control
  • algorithm model

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

17 pages, 891 KiB  
Article
Volatile Profiling of Tongcheng Xiaohua Tea from Different Geographical Origins: A Multimethod Investigation Using Sensory Analysis, E-Nose, HS-SPME-GC-MS, and Chemometrics
by Ge Jin, Chenyue Bi, Anqi Ji, Jieyi Hu, Yuanrong Zhang, Lumin Yang, Sunhao Wu, Zhaoyang Shen, Zhou Zhou, Xiao Li, Huaguang Qin, Dan Mu, Ruyan Hou and Yan Wu
Foods 2025, 14(11), 1996; https://doi.org/10.3390/foods14111996 - 5 Jun 2025
Viewed by 365
Abstract
The evaluation of region-specific aroma characteristics in green tea remains critical for quality control. This study systematically analyzed eight Tongcheng Xiaohua tea samples (standard and premium batches) originating from four distinct regions using sensory analysis, electronic nose (E-nose), headspace solid-phase microextraction coupled with [...] Read more.
The evaluation of region-specific aroma characteristics in green tea remains critical for quality control. This study systematically analyzed eight Tongcheng Xiaohua tea samples (standard and premium batches) originating from four distinct regions using sensory analysis, electronic nose (E-nose), headspace solid-phase microextraction coupled with gas chromatography–mass spectrometry (HS-SPME-GC-MS), and chemometrics. The E-nose results demonstrated that the volatile characteristics of Tongcheng Xiaohua tea exhibit distinct geographical signatures, confirming the regional specificity of its aroma. HS-SPME-GC-MS identified 66 volatile metabolites across samples, with 18 key odorants (OAV > 1) including linalool, geraniol, (Z)-jasmone, and β-ionone driving aroma profiles. The partial least squares–discriminant analysis (PLS-DA) model, combined with variable importance in projection (VIP) scores and OAV, identified seven compounds that effectively differentiate the origins, among which α-pinene and β-cyclocitral emerged as novel markers imparting unique regional characteristics. Further comparative analysis between standard and premium grades revealed 2-methyl butanal, 3-methyl butanal, and dimethyl sulfide as main differential metabolites. Notably, the influence of geographical origin on metabolite profiles was found to be more significant than batch effects. These findings establish a robust analytical framework for origin traceability, quality standardization, and flavor optimization in tea production, providing valuable insights for the tea industry. Full article
(This article belongs to the Special Issue Flavor and Aroma Analysis as an Approach to Quality Control of Foods)
Show Figures

Figure 1

Back to TopTop