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Advanced Methods and Technologies: Ensuring and Improving Food Safety and Quality

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Food Science and Technology".

Deadline for manuscript submissions: closed (30 August 2023) | Viewed by 2114

Special Issue Editor


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Guest Editor
Department of Public Health, Josip Juraj Strossmayer University of Osijek, Faculty of Medicine Osijek, Osijek 31 000, Croatia
Interests: environmental health; public health; food technology; food safety; green technologies; nutrition

Special Issue Information

Dear Colleagues,

One of the most significant areas of public interest today is the safety of food and the preservation of its quality.

Climate change, rising temperatures, reduced agricultural productivity, increased use of pesticides, and the globalization of long food chains are challenges to the production of safe, high-quality food.

On the other hand, modern lifestyles, urbanization, and global population growth have created new tasks for modern food technology. Increasing public demand for minimally processed foods, improved functional and nutritional values, awareness of food allergens, and environmentally friendly foods are just some of the motivations for developing new aspects and advanced methods to ensure safe and high-quality foods.

Many novel environmentally friendly technologies, such as non-thermal processes, have proven successful in obtaining safe and high-quality products compared to conventional methods. These processes not only ensure safe food, but also better quality as important nutritional components are preserved.

The aim of this Special Issue is to collect scientific papers and reviews that address the importance of safe and high-quality food for the protection of human health, future challenges in ensuring high-quality food and possible solutions, as well as new methods for safer food production.

Dr. Nika Pavlović
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.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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 safety
  • food quality
  • food protection
  • food contamination
  • green chemistry
  • food industry
  • functional food
  • health risk
  • environmental health

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Published Papers (1 paper)

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Research

14 pages, 3641 KiB  
Article
Prediction of Phytochemical Constituents in Cayenne Pepper Using MIR and NIR Spectroscopy
by Joel B. Johnson, Aimen El Orche, Janice S. Mani, Abderrahmane Aït-Kaddour, Kerry B. Walsh and Mani Naiker
Appl. Sci. 2023, 13(8), 5143; https://doi.org/10.3390/app13085143 - 20 Apr 2023
Cited by 3 | Viewed by 1786
Abstract
The aim of the present study was to evaluate the potential of handheld near-infrared (NIR) and benchtop mid-infrared (MIR) spectroscopy for the rapid prediction of antioxidant capacity, dry matter, and total phenolic contents in cayenne pepper (Capsicum annuum ‘Cayenne’). Using NIR spectroscopy, [...] Read more.
The aim of the present study was to evaluate the potential of handheld near-infrared (NIR) and benchtop mid-infrared (MIR) spectroscopy for the rapid prediction of antioxidant capacity, dry matter, and total phenolic contents in cayenne pepper (Capsicum annuum ‘Cayenne’). Using NIR spectroscopy, the best-performing model for dry matter had an R2pred = 0.74, RMSEP = 0.38%, and RPD of 2.02, exceeding the best results previously reported in the literature. This was also the first study to predict dry matter content from the mid-infrared spectra, although with lower accuracy (R2pred = 0.54; RMSEP = 0.51%, RPD 1.51). The models for antioxidant capacity and total phenolic content did not perform well using NIR or MIR spectroscopy (RPD values < 1.5), indicating that further optimization is required in this area. Application of support vector regression (SVR) generally gave poorer results compared to partial least squares regression (PLSR). NIR spectroscopy may be useful for in-field measurement of dry matter in the chili crop as a proxy measure for fruit maturity. However, the lower accuracy of MIR spectroscopy is likely to limit its use in this crop. Full article
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