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Metabolites
Special Issues
Development of Metabolomics Technologies and Their Applications in Food Science
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Development of Metabolomics Technologies and Their Applications in Food Science

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Food Metabolomics".

Deadline for manuscript submissions: closed (25 September 2021) | Viewed by 14502

Special Issue Editor

Prof. Dr. Do Yup Lee

E-Mail Website
Guest Editor
Department of Food and Animal Biotechnology, Seoul National Univeristy, Seoul 08826, Korea
Interests: metabolomics; bioinformatics; multi-omics; food science; GC-MS; LC-MS

Special Issue Information

Dear Colleagues,

Food provides essential nutrients, pleasurable flavours, and physiological functions that influences on human health interactively with other factors (e.g., genotype). The roles are fulfilled by “metabolites” that are defined as small molecules (<2000 Da). Metabolomics is the ideal technology that determines and evaluates the quantitative features of metabolites pertained in a range of biological contexts including “food matrix”.

Accordingly, the Special Issue invites papers covering a range of topics regarding metabolomic application to food science, which includes but is not limited to food safety, food processing, food quality control, functional food, and food microbiology (fermented food). The topic may also include method development in analytical procedure and computational processing.

Prof. Dr. Do Yup Lee
Guest Editor

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. Metabolites is an international peer-reviewed open access monthly 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 2700 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

  • Food science & technology
  • Bioactive compound
  • Biomarker
  • Quality control
  • Agricultural crop
  • Fermented food
  • Multi-omics
  • Mass-spectrometry
  • Machine learning

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

Published Papers (4 papers)

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Research

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13 pages, 4911 KiB  
Article
Metagenomic, Metabolomic, and Functional Evaluation of Kimchi Broth Treated with Light-Emitting Diodes (LEDs)
by Yeong-Ji Oh, Ye-Rin Park, Jungil Hong and Do-Yup Lee
Metabolites 2021, 11(8), 472; https://doi.org/10.3390/metabo11080472 - 22 Jul 2021
Cited by 4 | Viewed by 3641
Abstract
The light-emitting diode (LED) has been widely used in the food industry, and its application has been focused on microbial sterilization, specifically using blue-LED. The investigation has been recently extended to characterize the biotic and abiotic (photodynamic) effects of different wavelengths. Here, we [...] Read more.
The light-emitting diode (LED) has been widely used in the food industry, and its application has been focused on microbial sterilization, specifically using blue-LED. The investigation has been recently extended to characterize the biotic and abiotic (photodynamic) effects of different wavelengths. Here, we investigated LED effects on kimchi fermentation. Kimchi broths were treated with three different colored-LEDs (red, green, and blue) or kept in the dark as a control. Multiomics was applied to evaluate the microbial taxonomic composition using 16S rRNA gene amplicon sequencing, and the metabolomic profiles were determined using liquid chromatography–Orbitrap mass spectrometry. Cell viability was tested to determine the potential cytotoxicity of the LED-treated kimchi broths. First, the amplicon sequencing data showed substantial changes in taxonomic composition at the family and genus levels according to incubation (initial condition vs. all other groups). The differences among the treated groups (red-LED (RLED), green-LED (GLED), blue-LED (BLED), and dark condition) were marginal. The relative abundance of Weissella was decreased in all treated groups compared to that of the initial condition, which coincided with the decreased composition of Lactobacillus. Compositional changes were relatively high in the GLED group. Subsequent metabolomic analysis indicated a unique metabolic phenotype instigated by different LED treatments, which led to the identification of the LED treatment-specific and common compounds (e.g., luteolin, 6-methylquinoline, 2-hydroxycinnamic acid, and 9-HODE). These results indicate that different LED wavelengths induce characteristic alterations in the microbial composition and metabolomic content, which may have applications in food processing and storage with the aim of improving nutritional quality and the safety of food. Full article
(This article belongs to the Special Issue Development of Metabolomics Technologies and Their Applications in Food Science)
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17 pages, 2115 KiB  
Article
Effects of Various Processing Methods on the Metabolic Profile and Antioxidant Activity of Dendrobium catenatum Lindley Leaves
by Jing-Jing Liu, Zhen-Peng Liu, Xin-Feng Zhang and Jin-Ping Si
Metabolites 2021, 11(6), 351; https://doi.org/10.3390/metabo11060351 - 30 May 2021
Cited by 17 | Viewed by 3214
Abstract
The metabolite profiles and antioxidant activity of Dendrobium catenatum Lindley leaf, a new functional ingredient for food product development, were evaluated in samples that had been prepared using various methods, including freeze-drying, hot-air drying, rolling before drying, steaming before drying, steaming and rolling [...] Read more.
The metabolite profiles and antioxidant activity of Dendrobium catenatum Lindley leaf, a new functional ingredient for food product development, were evaluated in samples that had been prepared using various methods, including freeze-drying, hot-air drying, rolling before drying, steaming before drying, steaming and rolling before drying, and drying at 100, 80, and 60 °C. The concentrations of polysaccharides and flavonoids, as well as the antioxidant capacity of each sample, were determined. Furthermore, two nucleosides, four amino acids, one monoaromatic compound, and eight flavonoids were identified in dried leaves using high-performance liquid chromatography–diode array detector–electrospray ionization–multistage mass spectrometry (HPLC-DAD-ESI-MSn) and ultraviolet (UV) spectral analyses. The content of polar compounds such as cytidylic acid, arginine, tyrosine, and hydroxybenzoic acid hexose increased dramatically during hot-air-drying and rolling-before-drying treatments, while flavonol C-glycosides remained stable throughout the various treatments and drying temperatures. Rolling before drying at 100 °C was identified as the most suitable process when manufacturing tea products from D. catenatum leaves. This process resulted in a high-antioxidant-activity and visually appealing tea. This report details a potential strategy that should be applied in the manufacturing processes of high-quality products from D. catenatum leaves. Full article
(This article belongs to the Special Issue Development of Metabolomics Technologies and Their Applications in Food Science)
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17 pages, 5211 KiB  
Article
Utilizing the Food–Pathogen Metabolome to Putatively Identify Biomarkers for the Detection of Shiga Toxin-Producing E. coli (STEC) from Spinach
by Snehal R. Jadhav, Rohan M. Shah, Avinash V. Karpe, Robert S. Barlow, Kate E. McMillan, Michelle L. Colgrave and David J. Beale
Metabolites 2021, 11(2), 67; https://doi.org/10.3390/metabo11020067 - 25 Jan 2021
Cited by 4 | Viewed by 2782
Abstract
Shiga toxigenic E. coli (STEC) are an important cause of foodborne disease globally with many outbreaks linked to the consumption of contaminated foods such as leafy greens. Existing methods for STEC detection and isolation are time-consuming. Rapid methods may assist in preventing contaminated [...] Read more.
Shiga toxigenic E. coli (STEC) are an important cause of foodborne disease globally with many outbreaks linked to the consumption of contaminated foods such as leafy greens. Existing methods for STEC detection and isolation are time-consuming. Rapid methods may assist in preventing contaminated products from reaching consumers. This proof-of-concept study aimed to determine if a metabolomics approach could be used to detect STEC contamination in spinach. Using untargeted metabolic profiling, the bacterial pellets and supernatants arising from bacterial and inoculated spinach enrichments were investigated for the presence of unique metabolites that enabled categorization of three E. coli risk groups. A total of 109 and 471 metabolite features were identified in bacterial and inoculated spinach enrichments, respectively. Supervised OPLS-DA analysis demonstrated clear discrimination between bacterial enrichments containing different risk groups. Further analysis of the spinach enrichments determined that pathogen risk groups 1 and 2 could be easily discriminated from the other groups, though some clustering of risk groups 1 and 2 was observed, likely representing their genomic similarity. Biomarker discovery identified metabolites that were significantly associated with risk groups and may be appropriate targets for potential biosensor development. This study has confirmed that metabolomics can be used to identify the presence of pathogenic E. coli likely to be implicated in human disease. Full article
(This article belongs to the Special Issue Development of Metabolomics Technologies and Their Applications in Food Science)
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Review

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23 pages, 2170 KiB  
Review
Rapid Evaporative Ionization Mass Spectrometry: A Review on Its Application to the Red Meat Industry with an Australian Context
by Robert S. Barlow, Adam G. Fitzgerald, Joanne M. Hughes, Kate E. McMillan, Sean C. Moore, Anita L. Sikes, Aarti B. Tobin and Peter J. Watkins
Metabolites 2021, 11(3), 171; https://doi.org/10.3390/metabo11030171 - 15 Mar 2021
Cited by 15 | Viewed by 3925
Abstract
The red meat supply chain is a complex network transferring product from producers to consumers in a safe and secure way. There can be times when fragmentation can arise within the supply chain, which could be exploited. This risk needs reduction so that [...] Read more.
The red meat supply chain is a complex network transferring product from producers to consumers in a safe and secure way. There can be times when fragmentation can arise within the supply chain, which could be exploited. This risk needs reduction so that meat products enter the market with the desired attributes. Rapid Evaporative Ionisation Mass Spectrometry (REIMS) is a novel ambient mass spectrometry technique originally developed for rapid and accurate classification of biological tissue which is now being considered for use in a range of additional applications. It has subsequently shown promise for a range of food provenance, quality and safety applications with its ability to conduct ex vivo and in situ analysis. These are regarded as critical characteristics for technologies which can enable real-time decision making in meat processing plants and more broadly throughout the sector. This review presents an overview of the REIMS technology, and its application to the areas of provenance, quality and safety to the red meat industry, particularly in an Australian context. Full article
(This article belongs to the Special Issue Development of Metabolomics Technologies and Their Applications in Food Science)
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