1
|
Šovljanski O, Lončar B, Pezo L, Saveljić A, Tomić A, Brunet S, Filipović V, Filipović J, Čanadanović-Brunet J, Ćetković G, Travičić V. Unlocking the Potential of the ANN Optimization in Sweet Potato Varieties Drying Processes. Foods 2023; 13:134. [PMID: 38201161 PMCID: PMC10778433 DOI: 10.3390/foods13010134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 12/28/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024] Open
Abstract
This study explores the unexploited potential of Artificial Neural Network (ANN) optimization techniques in enhancing different drying methods and their influence on the characteristics of various sweet potato varieties. Focusing on the intricate interplay between drying methods and the unique characteristics of white, pink, orange, and purple sweet potatoes, the presented experimental study indicates the impact of ANN-driven optimization on food-related characteristics such as color, phenols content, biological activities (antioxidant, antimicrobial, anti-hyperglycemic, and anti-inflammatory), chemical, and mineral contents. The results unveil significant variations in drying method efficacy across different sweet potato types, underscoring the need for tailored optimization strategies. Specifically, purple sweet potatoes emerge as robust carriers of phenolic compounds, showcasing superior antioxidant activities. Furthermore, this study reveals the optimized parameters of dried sweet potato, such as total phenols content of 1677.76 mg/100 g and anti-inflammatory activity of 8.93%, anti-hyperglycemic activity of 24.42%. The upgraded antioxidant capability is presented through DPPH●, ABTS●+, RP, and SoA assays with values of 1500.56, 10,083.37, 3130.81, and 22,753.97 μg TE/100 g, respectively. Additionally, the moisture content in the lyophilized sample reached a minimum of 2.97%, holding favorable chemical and mineral contents. The utilization of ANN optimization proves instrumental in interpreting complex interactions and unlocking efficiencies in sweet potato drying processes, thereby contributing valuable insights to food science and technology.
Collapse
Affiliation(s)
- Olja Šovljanski
- Faculty of Technology Novi Sad, University of Novi Sad, Bulevar Cara Lazara 1, 21000 Novi Sad, Serbia; (O.Š.); (B.L.); (A.T.); (S.B.); (V.F.); (J.Č.-B.); (G.Ć.); (V.T.)
| | - Biljana Lončar
- Faculty of Technology Novi Sad, University of Novi Sad, Bulevar Cara Lazara 1, 21000 Novi Sad, Serbia; (O.Š.); (B.L.); (A.T.); (S.B.); (V.F.); (J.Č.-B.); (G.Ć.); (V.T.)
| | - Lato Pezo
- Engineering Department, Institute of General and Physical Chemistry, Studentski trg 12/V, 11000 Belgrade, Serbia
| | - Anja Saveljić
- Faculty of Technology Novi Sad, University of Novi Sad, Bulevar Cara Lazara 1, 21000 Novi Sad, Serbia; (O.Š.); (B.L.); (A.T.); (S.B.); (V.F.); (J.Č.-B.); (G.Ć.); (V.T.)
| | - Ana Tomić
- Faculty of Technology Novi Sad, University of Novi Sad, Bulevar Cara Lazara 1, 21000 Novi Sad, Serbia; (O.Š.); (B.L.); (A.T.); (S.B.); (V.F.); (J.Č.-B.); (G.Ć.); (V.T.)
| | - Sara Brunet
- Faculty of Technology Novi Sad, University of Novi Sad, Bulevar Cara Lazara 1, 21000 Novi Sad, Serbia; (O.Š.); (B.L.); (A.T.); (S.B.); (V.F.); (J.Č.-B.); (G.Ć.); (V.T.)
| | - Vladimir Filipović
- Faculty of Technology Novi Sad, University of Novi Sad, Bulevar Cara Lazara 1, 21000 Novi Sad, Serbia; (O.Š.); (B.L.); (A.T.); (S.B.); (V.F.); (J.Č.-B.); (G.Ć.); (V.T.)
| | - Jelena Filipović
- Institute of Food Technology, University of Novi Sad, Bulevar Cara Lazara 1, 21000 Novi Sad, Serbia;
| | - Jasna Čanadanović-Brunet
- Faculty of Technology Novi Sad, University of Novi Sad, Bulevar Cara Lazara 1, 21000 Novi Sad, Serbia; (O.Š.); (B.L.); (A.T.); (S.B.); (V.F.); (J.Č.-B.); (G.Ć.); (V.T.)
| | - Gordana Ćetković
- Faculty of Technology Novi Sad, University of Novi Sad, Bulevar Cara Lazara 1, 21000 Novi Sad, Serbia; (O.Š.); (B.L.); (A.T.); (S.B.); (V.F.); (J.Č.-B.); (G.Ć.); (V.T.)
| | - Vanja Travičić
- Faculty of Technology Novi Sad, University of Novi Sad, Bulevar Cara Lazara 1, 21000 Novi Sad, Serbia; (O.Š.); (B.L.); (A.T.); (S.B.); (V.F.); (J.Č.-B.); (G.Ć.); (V.T.)
| |
Collapse
|
2
|
Jamasali YD, Turhan Ş, Bakır TK, Altuner EM, Duran C, Hançerlioğulları A, Kurnaz A. Evaluation of radiological health risk due to ingestion and inhalation of radon in commercial packaged fruit juices consumed in Turkey. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2023:1-11. [PMID: 38131128 DOI: 10.1080/09603123.2023.2297712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023]
Abstract
Fruit juices (FJs) are among the most popular beverages frequently preferred by consumers, believing FJs contain the nutritional values, minerals, phytochemicals, vitamins, and antioxidants necessary for a healthy life. However, FJs may contain natural radionuclides such as radon (222Rn), which originates from the fruit and water utilized in their production, at levels that may pose a health risk to people. Inhalation and ingestion of 222Rn gas increases the risk of lung and stomach cancer. In this study, commercially packaged FJs from the seventeen most popular brands consumed in Turkey were analyzed for physicochemical properties and 222Rn activity concentrations to evaluate the radiological health risk. The values of pH, brix and 222Rn activity concentrations in FJ samples varied from 2.68 to 4.28, 2.50 to 14.30%, 9.6 ± 1.1 to 25.2 ± 2.5 mBq/L, respectively. The radiological health risk caused by internal exposure was evaluated for children and adults by estimating the ingestion and inhalation annual effective dose. The average values of the total annual effective dose for children and adults were found as 0.039 µSv and 0.056 µSv, respectively, which are much lower than the recommended dose of 100 µSv for drinking water.
Collapse
Affiliation(s)
- Yusof-den Jamasali
- Department of Physics, Faculty of Science, Kastamonu University, Kastamonu, Türkiye
- Department of Physics, College of Natural Sciences and Mathematics, Mindanao State University, Marawi City, Philippines
| | - Şeref Turhan
- Department of Physics, Faculty of Science, Kastamonu University, Kastamonu, Türkiye
| | - Temel K Bakır
- Department of Chemistry, Faculty of Science, Kastamonu University, Kastamonu, Türkiye
| | - Ergin M Altuner
- Department of Biology, Faculty of Science, Kastamonu University, Kastamonu, Türkiye
| | - Celalattin Duran
- Department of Geography, Faculty of Humanities and Social Sciences, Kastamonu University, Kastamonu, Türkiye
| | | | - Aslı Kurnaz
- Department of Physics, Faculty of Science, Kastamonu University, Kastamonu, Türkiye
| |
Collapse
|