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Pathan FL, Trimukhe AM, Deshmukh RR, Annapure US. A peleg modeling of water absorption in cold plasma-treated Chickpea (Cicer arietinum L.) cultivars. Sci Rep 2023; 13:7857. [PMID: 37188721 DOI: 10.1038/s41598-023-33802-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 04/19/2023] [Indexed: 05/17/2023] Open
Abstract
Plasma processing appears to be the mainstay of food preservation in the present day due to its effectiveness in controlling microorganisms at low temperatures. Legumes are usually soaked before cooking. Six chickpea varieties (Kripa, Virat, Vishal, Vijay, Digvijay, and Rajas) were soaked in distilled water at room temperature, and Peleg model was fitted after plasma treatment. Cold plasma treatment was used at 40, 50 and 60 Watt with exposure times of 10, 15 and 20 min. K1 (Peleg rate constant) consistently decreased from 32.3 to 4.3 × 10-3 (h % - 1) for all six chickpea cultivars, indicating an increased water absorption rate with increasing plasma power and treatment time. It was lowest in 60 W 20 min plasma treatment in Virat cultivar. K2 (Peleg capacity constant) ranged from 9.4 to 12 × 10-3 (h % - 1) for all six chickpea cultivars. Thus, plasma treatment showed no effect on water uptake capacity (K2), as it did not increase or decrease consistently with increasing plasma power and treatment time. Fitting the Peleg model successfully revealed the correlation between the water absorption of chickpea cultivars. The model fit ranged from R2 ≥ 0.9873 to 0.9981 for all six chickpea cultivars.
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Affiliation(s)
- F L Pathan
- Department of Food Engineering and Technology, Institute of Chemical Technology, N.P. Marg, Matunga, Mumbai (E), 400019, India.
| | - A M Trimukhe
- Department of Physics, Institute of Chemical Technology, N.P. Marg, Matunga, Mumbai (E), 400019, India
| | - R R Deshmukh
- Department of Physics, Institute of Chemical Technology, N.P. Marg, Matunga, Mumbai (E), 400019, India
| | - U S Annapure
- Department of Food Engineering and Technology, Institute of Chemical Technology, N.P. Marg, Matunga, Mumbai (E), 400019, India.
- Institute of Chemical Technology, Marathwada Campus, Aurangabad Road, Jalana, 431213, India.
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Choobkar N, Daraei Garmakhany A, Aghajani AR, Ataee M. Response surface optimization of pudding formulation containing fish gelatin and clove ( Syzygium aromaticum) and cinnamon ( Cinnamomum verum) powder: Effect on color, physicochemical, and sensory attributes of the final pudding product. Food Sci Nutr 2022; 10:1257-1274. [PMID: 35432963 PMCID: PMC9007300 DOI: 10.1002/fsn3.2761] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 12/12/2021] [Accepted: 01/02/2022] [Indexed: 12/15/2022] Open
Abstract
In this study, the response surface methodology (RSM) was used to optimize the pudding formulation ingredients including the fish/bovine gelatin ratio and cinnamon and clove powder and determine the color and physicochemical and sensory attributes’ change in final pudding product. Experiments were carried out based on a central composite design (CCD). The results showed that by increasing the ratio of fish gelatin to bovine gelatin (FG/BG) up to 3%, the moisture content increased slightly and then decreased significantly. Increasing the cinnamon powder to 0.5% reduced the moisture content. Increasing the FG/BG in the formulation of pudding samples reduced the protein content. The effects of cinnamon and clove powder on the protein content were increasing and decreasing, respectively. By increasing the FG/BG ratio, the samples syneresis showed a significant decrease, while the effects of cinnamon and clove powder on the syneresis were nonsignificant. As the level of cinnamon and clove powder increased, the L* value decreased. Cinnamon and clove powder had a linear effect, and the interaction of gelatins and clove powder had a significant effect on changes in redness. The effects of cinnamon and clove powder on b* value were significant. In terms of sensory evaluation, increasing the cinnamon powder concentration increased the appearance scores, while in the case of fish gelatin, this trend was downward. The linear effect of cinnamon powder on taste was significant, while other variables had no significant effect on the taste of the samples. The sample texture was significantly affected by fish gelatin and clove powder. Increasing FG/BG from 0% to 2.5% increased the texture score, but after this range, a decrease in the texture score was observed. The overall acceptance of samples was more affected by spice powder compared to gelatin. By increasing the cinnamon powder and FG/BG, the overall acceptance increased and decreased, respectively. In conclusion, the optimal FG/BG and cinnamon and clove powder were introduced 1.479%, 0.288%, and 0.619% respectively.
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Affiliation(s)
- Nasrin Choobkar
- Department of Fisheries Faculty of Agriculture Kermanshah Branch Islamic Azad University Kermanshah Iran
| | - Amir Daraei Garmakhany
- Department of Food Science and Technology Toyserkan Faculty of Engineering and Natural Resources Bu-Ali Sina University Hamedan Iran
| | - Abdolraza R Aghajani
- Department of Food Science and Technology Faculty of Industrial and Mechanical Engineering Qazvin Branch Islamic Azad University Qazvin Iran
| | - Maryam Ataee
- Department of Food Science and Technology, Science and Research Tehran branch Islamic Azad University Tehran Iran
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Adebo OA. African Sorghum-Based Fermented Foods: Past, Current and Future Prospects. Nutrients 2020; 12:E1111. [PMID: 32316319 PMCID: PMC7231209 DOI: 10.3390/nu12041111] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 04/07/2020] [Accepted: 04/14/2020] [Indexed: 11/26/2022] Open
Abstract
Sorghum (Sorghum bicolor) is a well-known drought and climate resistant crop with vast food use for the inhabitants of Africa and other developing countries. The importance of this crop is well reflected in its embedded benefits and use as a staple food, with fermentation playing a significant role in transforming this crop into an edible form. Although the majority of these fermented food products evolve from ethnic groups and rural communities, industrialization and the application of improved food processing techniques have led to the commercial success and viability of derived products. While some of these sorghum-based fermented food products still continue to bask in this success, much more still needs to be done to further explore evolving techniques, technologies and processes. The addition of other affordable nutrient sources in sorghum-based fermented foods is equally important, as this will effectively augment the intake of a nutritionally balanced product.
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Affiliation(s)
- Oluwafemi Ayodeji Adebo
- Department of Biotechnology and Food Technology, Faculty of Science, University of Johannesburg (Doornfontein Campus), P.O. Box 17011 Johannesburg, Gauteng 2028, South Africa
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Karakaplan N, Goz E, Tosun E, Yuceer M. Kinetic and artificial neural network modeling techniques to predict the drying kinetics of
Mentha spicata
L. J FOOD PROCESS PRES 2019. [DOI: 10.1111/jfpp.14142] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Nihan Karakaplan
- Faculty of Engineering, Department of Chemical Engineering Inonu University Malatya Turkey
| | - Eda Goz
- Faculty of Engineering, Department of Chemical Engineering Ankara University Ankara Turkey
| | - Emir Tosun
- Faculty of Engineering, Department of Chemical Engineering Inonu University Malatya Turkey
| | - Mehmet Yuceer
- Faculty of Engineering, Department of Chemical Engineering Inonu University Malatya Turkey
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Oladele SO, Agbetoye LAS, Osundahunsi OF, Augusto PED. Oat hydration kinetics at different temperatures: Evaluation, model, and validation. J FOOD PROCESS ENG 2019. [DOI: 10.1111/jfpe.13159] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Samouel O. Oladele
- Department of Agricultural and Environmental EngineeringFederal University of Technology Akure Ondo State Nigeria
- Department of Agri‐food Industry, Food and Nutrition, Luiz de Queiroz College of Agriculture (ESALQ)University of São Paulo (USP) Piracicaba SP Brazil
| | - Leo A. S. Agbetoye
- Department of Agricultural and Environmental EngineeringFederal University of Technology Akure Ondo State Nigeria
| | | | - Pedro E. D. Augusto
- Department of Agri‐food Industry, Food and Nutrition, Luiz de Queiroz College of Agriculture (ESALQ)University of São Paulo (USP) Piracicaba SP Brazil
- Food and Nutrition Research Center (NAPAN)University of São Paulo (USP) São Paulo SP Brazil
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Mokhtarian M, Garmakhany A. Prediction of ultrasonic osmotic dehydration properties of courgette by ANN. QUALITY ASSURANCE AND SAFETY OF CROPS & FOODS 2017. [DOI: 10.3920/qas2015.0662] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- M. Mokhtarian
- Department of Food Science and Technology, Roudehen Branch, Islamic Azad University, Roudehen, Iran
| | - A.D. Garmakhany
- Department of Food Science and Technology, Toyserkan Faculty of Industrial Engineering, Bu-Ali Sina University, Hamadan, Iran
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Salarbashi D, Khanzadeh F, Hosseini S, Mohamadi M, Rajaei A, Garmakhany AD. Prediction of the extraction yield using artificial neural network and response surface methodology: ultrasound-assisted extraction from Achillea berbresteinii L. QUALITY ASSURANCE AND SAFETY OF CROPS & FOODS 2014. [DOI: 10.3920/qas2013.0245] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- D. Salarbashi
- School of Medicine, Gonabad University of Medical Sciences, P.O. Box 9691983643, Gonabad, Iran
- International campus, Department of Food Science and Technology, Ferdowsi University of Mashhad, P.O. Box 9176764955, Mashhad, Iran
| | - F. Khanzadeh
- Department of Food Science and Technology, Sabzevar Branch, Islamic Azad University, P.O. Box 9618814711, Sabzevar, Iran
| | - S.M. Hosseini
- International campus, Department of Food Science and Technology, Ferdowsi University of Mashhad, P.O. Box 9176764955, Mashhad, Iran
| | - M. Mohamadi
- Food Processing Department, Research Institute of Food Science and Technology (RIFST), P.O. Box 91735-147, Km. 12-Mashhad-Quchan Highway, Mashhad, Iran
| | - A. Rajaei
- Department of Food Science and Technology, Faculty of Agriculture, University of Shahrood, Shahrood, Iran
| | - A. Daraei Garmakhany
- Toyserkan Faculity of Industrial Engineering, Department of Food Science and Technology, Bu-Ali Sina University, Hamadan, Iran
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Mokhtarian S, Koushki F, Bakhshabadi H, Askari B, Daraei Garmakhany A, Rashidzadeh S. Feasibility investigation of using artificial neural network in process monitoring of pumpkin air drying. QUALITY ASSURANCE AND SAFETY OF CROPS & FOODS 2014. [DOI: 10.3920/qas2012.0119] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- S. Mokhtarian
- Young Researchers Club, Sabzevar Branch, Islamic Azad University, Sabzevar, Iran
- Department of Food Science and Technology, Islamic Azad University, Sabzevar, Iran
| | - F. Koushki
- Department of Food Science and Technology, Islamic Azad University, Sabzevar, Iran
| | - H. Bakhshabadi
- Department of Food Science and Technology, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
| | - B. Askari
- Department of Food Science and Technology, Islamic Azad University, Sabzevar, Iran
| | - A. Daraei Garmakhany
- Toyserkan Faculity of Industrial Engineering, Department of Food Science and Technology, Bu-Ali Sina University, Hamadan, Iran
| | - S.H. Rashidzadeh
- Young Researchers Club, Amol Branch, Islamic Azad University, Amol, Iran
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Mokhtarian M, Heydari Majd M, Koushki F, Bakhshabadi H, Daraei Garmakhany A, Rashidzadeh S. Optimisation of pumpkin mass transfer kinetic during osmotic dehydration using artificial neural network and response surface methodology modelling. QUALITY ASSURANCE AND SAFETY OF CROPS & FOODS 2014. [DOI: 10.3920/qas2012.0121] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- M. Mokhtarian
- Young Researchers Club, Islamic Azad University, Sabzevar Branch, Sabzevar, Iran
- Department of Food Science and Technology, Islamic Azad University, Sabzevar Branch, Sabzevar, Iran
| | - M. Heydari Majd
- Department of Food Science and Technology, Islamic Azad University, Sabzevar Branch, Sabzevar, Iran
| | - F. Koushki
- Department of Food Science and Technology, Islamic Azad University, Sabzevar Branch, Sabzevar, Iran
| | - H. Bakhshabadi
- Department of Food Science and Technology, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
| | - A. Daraei Garmakhany
- Toyserkan Faculity of Industrial Engineering, Department of Food Science and Technology, Bu-Ali Sina University, Hamadan, Iran
| | - S. Rashidzadeh
- Young Researchers Club, Islamic Azad University, Amol Branch, Amol, Iran
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Ghahfarrokhi IS, Garmakhany AD, Kashaninejad M, Dehghani A. Estimation of peroxidase activity in red cabbage by artificial neural network. QUALITY ASSURANCE AND SAFETY OF CROPS & FOODS 2013. [DOI: 10.3920/qas2012.0134] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- I. Shahabi Ghahfarrokhi
- Department of Food Science and Engineering, Agricultural Campus, University of Tehran, P.O. Box 4111, Karadj, Iran
| | - A. Daraei Garmakhany
- Department of Food Science & Technology, Azadshahr Branch, Islamic Azad University, Azadshahr, Golestan, Iran
| | - M. Kashaninejad
- Department of Food Science & Technology, Gorgan University of Agricultural Sciences and Natural Resources, Beheshti Avenue, Gorgan, 49138-15739, Iran
| | - A.A. Dehghani
- Department of Water Resource Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
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