Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.7
3.6
Journals
Biology
Special Issues
Foodomics: Food Authentication, Processing and Nutrition
share announcement

Foodomics: Food Authentication, Processing and Nutrition

A special issue of Biology (ISSN 2079-7737).

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 8108

Special Issue Editors

Dr. Davide Tagliazucchi

E-Mail Website
Guest Editor
Department of Life Sciences, University of Modena and Reggio Emilia, Via Amendola 2, 42100 Reggio Emilia, Italy
Interests: molecular nutrition; phenolic compounds; biological activity; colon metabolism; diabetes; mass sepctrometry; cancer
Special Issues, Collections and Topics in MDPI journals
Dr. Serena Martini

E-Mail Website
Guest Editor
Department of Life Sciences, University of Modena and Reggio Emilia, Via Amendola 2, 42100 Reggio Emilia, Italy
Interests: polyphenols; digestion; bioactive peptides
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

In the last years, foodomics techniques saw an exceptional emergence owing to the implementation, progression, and development of new tools and technologies. Foodomics rapidly evolved as an innovative scientific discipline able to provide a comprehensive evaluation of food and nutrition through the use of modern omics techniques, including proteomics, peptidomics, and metabolomics. Foodomics techniques provide appropriate technical solutions for a variety of food science applications, finding application in different areas: food authentication and profiling, food quality and safety, food processing and digestion, identification of bioactive compounds, nutrition, and human health. Proteomics has been widely used to evaluate food authenticity and adulteration, and peptidomics has been essential in the study of new bioactive peptides generated by food processing (i.e., fermentation and cooking) and digestion. Once released, these small motifs, originally encrypted in the parent proteins, may exert several biological activities (anti-hypertensive, immunomodulatory, anti-diabetic, anti-microbial, etc.). Phenolic compounds are well-known and thoroughly studied molecules that are widespread in the plant kingdom and vegetable foods. They are able to exert several beneficial effects on human health (anti-carcinogenic, anti-atherogenic, anti-inflammatory, and vasodilatory activities). In this sense, several works have underlined how a metabolomic approach is pivotal to understanding the mechanisms of action of these bioactive compounds both in vitro and in vivo. This Special Issue attempts to collect research and review papers focusing on all the possible applications of foodomics techniques (proteomics, peptidomics, and metabolomics) in food science and nutrition. Moreover, papers addressed to the field of bioactive compounds (e.g., bioactive peptides and phenolic compounds) are welcomed, with a special emphasis on the connection between bioactive compounds and human health.

Prof. Dr. Davide Tagliazucchi
Dr. Serena Martini
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. Biology 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

  • proteomics 
  • peptidomics 
  • metabolomics 
  • food digestion 
  • food quality 
  • food and health 
  • bioactive peptides 
  • phenolic compounds 
  • fermentation 
  • cooking

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.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

23 pages, 1931 KiB  
Article
Novel Biomarkers of Mastitis in Goat Milk Revealed by MALDI-TOF-MS-Based Peptide Profiling
by Monica Matuozzo, Maria Stefania Spagnuolo, Hany A. Hussein, A. M. Gomaa, Andrea Scaloni and Chiara D’Ambrosio
Biology 2020, 9(8), 193; https://doi.org/10.3390/biology9080193 - 28 Jul 2020
Cited by 8 | Viewed by 4204
Abstract
Mastitis is the most common infection of dairy goats impairing milk production and quality, which is usually recognized by mammary gland visual inspection and palpation. Subclinical forms of the disease are also widely represented, which lack the typical signs of the clinical ones [...] Read more.
Mastitis is the most common infection of dairy goats impairing milk production and quality, which is usually recognized by mammary gland visual inspection and palpation. Subclinical forms of the disease are also widely represented, which lack the typical signs of the clinical ones but are still associated with reduced production and safety for human consumption of milk, generally presenting a high bacterial count. In order to obtain novel analytical tools for rapid and non-invasive diagnosis of mastitis in goats, we analyzed milk samples from healthy, subclinical and clinical mastitic animals with a MALDI-TOF-MS-based peptidomic platform, generating disease group-specific spectral profiles whose signal intensity and mass values were analyzed by statistics. Peculiar spectral signatures of mastitis with respect to the control were identified, while no significant spectral differences were observed between clinical and subclinical milk samples. Discriminant signals were assigned to specific peptides through nanoLC-ESI-Q-Orbitrap-MS/MS experiments. Some of these molecules were predicted to have an antimicrobial activity based on their strong similarity with homolog bioactive compounds from other mammals. Through the definition of a panel of peptide biomarkers, this study provides a very rapid and low-cost method to routinely detect mastitic milk samples even though no evident clinical signs in the mammary gland are observed. Full article
(This article belongs to the Special Issue Foodomics: Food Authentication, Processing and Nutrition)
►▼ Show Figures

Figure 1

14 pages, 1374 KiB  
Article
The Utility of Genomic and Transcriptomic Data in the Construction of Proxy Protein Sequence Databases for Unsequenced Tree Nuts
by Cary Pirone-Davies, Melinda A. McFarland, Christine H. Parker, Yoko Adachi and Timothy R. Croley
Biology 2020, 9(5), 104; https://doi.org/10.3390/biology9050104 - 19 May 2020
Cited by 3 | Viewed by 3232
Abstract
As the apparent incidence of tree nut allergies rises, the development of MS methods that accurately identify tree nuts in food is critical. However, analyses are limited by few available tree nut protein sequences. We assess the utility of translated genomic and transcriptomic [...] Read more.
As the apparent incidence of tree nut allergies rises, the development of MS methods that accurately identify tree nuts in food is critical. However, analyses are limited by few available tree nut protein sequences. We assess the utility of translated genomic and transcriptomic data for library construction with Juglans regia, walnut, as a model. Extracted walnuts were subjected to nano-liquid chromatography–mass spectrometry (n-LC-MS/MS), and spectra were searched against databases made from a six-frame translation of the genome (6FT), a transcriptome, and three proteomes. Searches against proteomic databases yielded a variable number of peptides (1156–1275), and only ten additional unique peptides were identified in the 6FT database. Searches against a transcriptomic database yielded results similar to those of the National Center for Biotechnology Information (NCBI) proteome (1200 and 1275 peptides, respectively). Performance of the transcriptomic database was improved via the adjustment of RNA-Seq read processing methods, which increased the number of identified peptides which align to seed allergen proteins by ~20%. Together, these findings establish a path towards the construction of robust proxy protein databases for tree nut species and other non-model organisms. Full article
(This article belongs to the Special Issue Foodomics: Food Authentication, Processing and Nutrition)
►▼ Show Figures

Graphical abstract

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop