Fruit and Vegetable: Physicochemical Characteristics, Bioactive Compounds and Sensory Profile

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

Deadline for manuscript submissions: closed (5 July 2024) | Viewed by 2996

Special Issue Editor


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Guest Editor
Institute of Agro-Product Processing, Jiangsu Academy of Agricultural Sciences, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China
Interests: fruit and vegetable processing; nutritional quality; flavor quality; texture; color; bioactive compounds; bioavailability; antioxidant capacity

Special Issue Information

Dear Colleagues,

Fresh fruits and vegetables provide a rich diversity of nutrients, yet their freshness makes them susceptible to spoilage. The physicochemical composition and characteristics of fruits and vegetables directly affect their storability and processability. The content of bioactive and flavor compounds plays a key role in the sensory and nutritional quality of fresh and processed fruit and vegetable products. Therefore, in-depth study of the physicochemical properties, changes in bioactive compounds and flavors, and sensory qualities of fruits and vegetables during storage and processing is essential.

The aim of this special issue is to discuss the recent advances and possible research hotspots in the field of fruit and vegetable preservation and processing. We will focus on the physicochemical changes in fruits and vegetables during storage and processing, as well as issues related to bioactive compounds, flavor compounds and sensory qualities. Through in-depth research on these aspects, we can better understand the storage and processing of fruits and vegetables, improve their quality, and explore new and innovative approaches. We look forward to sharing various new ideas, experimental results and technological innovations in this special issue to advance the field of fruit and vegetable preservation and processing.

Dr. Zhongyuan Zhang
Guest Editor

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Keywords

  • fruit and vegetable
  • physicochemical composition and characteristics
  • bioactive compounds
  • flavor compounds
  • sensory profile
  • thermal processing
  • non-thermal processing

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Published Papers (2 papers)

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Research

19 pages, 10816 KiB  
Article
Hardness Analysis of Foods in a Diet Based on the Mediterranean Diet and Adapted to Chilean Gastronomy
by Franco Marinelli, Camila Venegas, Fanny Pirce, Jennifer del Carmen Silva Celedón, Pablo Navarro, Marcela Jarpa-Parra and Ramón Fuentes
Foods 2024, 13(19), 3061; https://doi.org/10.3390/foods13193061 - 26 Sep 2024
Viewed by 1227
Abstract
The human diet is a factor for disease prevention and the extension of life expectancy. Loss of teeth can adversely affect chewing capacity, which can lead patients to modify their diet and subsequently result in a poor dietary intake. This work is conducted [...] Read more.
The human diet is a factor for disease prevention and the extension of life expectancy. Loss of teeth can adversely affect chewing capacity, which can lead patients to modify their diet and subsequently result in a poor dietary intake. This work is conducted within the framework of an ongoing research project in the Dentistry School of Universidad de la Frontera aimed at designing a diet for patients with complete removable dental prostheses (CRDP). This study aimed to evaluate the hardness of foods in a diet designed for patients using CRDP, using texture profile analysis (TPA). TPA was used to measure the hardness of 43 foods, categorized into seven groups, dairy, animal protein, fruits, vegetables, cereals and grains, high-lipid foods, and vegetable protein, to understand their impact on masticatory performance in CRDP wearers. TPA consists of two compression cycles where the food sample is compressed until it reaches a pre-established deformation. The first force peak achieved in the first cycle is used as a measure of sample hardness. Significant differences in hardness were identified within each food group, indicating a wide spectrum of textural properties that could influence chewing behavior. These findings suggest that assessing food hardness can help tailor dietary recommendations to improve masticatory efficiency in patients with dental prostheses. Full article
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17 pages, 1918 KiB  
Article
Assessing Antioxidant Properties, Phenolic Compound Profiles, Organic Acids, and Sugars in Conventional Apple Cultivars (Malus domestica): A Chemometric Approach
by Biljana Cvetković, Aleksandra Bajić, Miona Belović, Lato Pezo, Danka Dragojlović, Olivera Šimurina, Marijana Djordjević, Karin Korntheuer, Christian Philipp and Reinhard Eder
Foods 2024, 13(14), 2291; https://doi.org/10.3390/foods13142291 - 20 Jul 2024
Cited by 1 | Viewed by 1364
Abstract
This study analyzed the phenolic compounds, organic acids, sugars, and antioxidant activity in different conventional apple cultivars (Malus domestica) from the Serbian market. Polyphenol profiles, sugars, and organic acid contents were analyzed by HPLC, and antioxidant activity was examined by DPPH [...] Read more.
This study analyzed the phenolic compounds, organic acids, sugars, and antioxidant activity in different conventional apple cultivars (Malus domestica) from the Serbian market. Polyphenol profiles, sugars, and organic acid contents were analyzed by HPLC, and antioxidant activity was examined by DPPH and FRAP. Notable findings included variations in phenolic compound presence, with certain compounds detected only in specific cultivars. ‘Red Jonaprince’ exhibited the highest arbutin (0.86 mg/kg FW) and quercetin-3-rhamnoside content (22.90 mg/kg FW), while ‘Idared’ stood out for its gallic acid content (0.22 mg/kg FW) and ‘Granny Smith’ for its catechin levels (21.19 mg/kg FW). Additionally, malic acid dominated among organic acids, with ‘Granny Smith’ showing the highest content (6958.48 mg/kg FW). Fructose was the predominant sugar across all cultivars. Chemometric analysis revealed distinct groupings based on phenolic and organic acid profiles, with ‘Granny Smith’ and ‘Golden Delicious’ exhibiting unique characteristics. Artificial neural network modeling effectively predicted antioxidant activity based on the input parameters. Global sensitivity analysis highlighted the significant influence of certain phenolic compounds and organic acids on antioxidant activity. Full article
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