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Soares SD, Dos Santos OV, da Conceição LRV, Costi HT, Silva Júnior JOC, Nascimento FDCAD, Pena RDS. Nutritional and Technological Properties of Albino Peach Palm ( Bactris gasipaes) from the Amazon: Influence of Cooking and Drying. Foods 2023; 12:4344. [PMID: 38231871 DOI: 10.3390/foods12234344] [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: 11/01/2023] [Revised: 11/26/2023] [Accepted: 11/28/2023] [Indexed: 01/19/2024] Open
Abstract
This study aimed to subject the albino peach palm to cooking and drying processes and characterize the raw pulp (RP), cooked pulp (CP), raw pulp flour (RPF), and cooked pulp flour (CPF). The product's chemical composition, bioactive compounds, and physicochemical, color, thermal, morphological, and functional-technological properties were evaluated. The proximate composition showed that carbohydrates were the main constituents of all the products (69.59-72.08 g/100 g). The cooking process decreased the lipids (10.21 to 8.63 g/100 g), dietary fiber (13.64 to 12.81 g/100 g), and total sugar content (59.18 to 49.10 g/100 g) of the CP. The colorimetric parameters indicated a significant browning of the CP and CPF, which can be attributed to the Maillard reaction and lipid oxidation. After cooking, the total phenolic compound and ascorbic acid content decreased in the pulp. The RPF and CPF displayed different thermogravimetric behaviors. The spectral patterns in the infrared region showed the characteristic bands of organic compounds that are present in the structure of starches. The scanning electron microscopy showed amyloplast and fiber bundles with starches in the RP and gelatinized starch granules in the CP and CPF. The RPF presented small and heterogeneous starch granules with isolated amyloplast. The RPF and CPF showed different granulometric patterns and technological indices. The results suggest that the pulp and flour from the pulp of albino peach palms can be exploited by the food, pharmaceutical, and biotechnological industries.
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Affiliation(s)
- Stephanie Dias Soares
- Graduate Program in Food Science and Technology, Federal University of Pará, Belém 66075-110, PA, Brazil
| | - Orquídea Vasconcelos Dos Santos
- Graduate Program in Food Science and Technology, Federal University of Pará, Belém 66075-110, PA, Brazil
- Faculty of Nutrition, Institute of Health Sciences, Federal University of Pará, Belém 66075-110, PA, Brazil
| | | | - Hilton Túlio Costi
- Emílio Goeldi Museum, Coordination of Earth Sciences and Ecology, Belém 66077-830, PA, Brazil
| | | | | | - Rosinelson da Silva Pena
- Graduate Program in Food Science and Technology, Federal University of Pará, Belém 66075-110, PA, Brazil
- Faculty of Food Engineering, Institute of Technology, Federal University of Pará, Belém 66075-110, PA, Brazil
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Nunta R, Khemacheewakul J, Sommanee S, Mahakuntha C, Chompoo M, Phimolsiripol Y, Jantanasakulwong K, Kumar A, Leksawasdi N. Extraction of gymnemic acid from Gymnema inodorum (Lour.) Decne. leaves and production of dry powder extract using maltodextrin. Sci Rep 2023; 13:11193. [PMID: 37433848 PMCID: PMC10336054 DOI: 10.1038/s41598-023-38305-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 07/06/2023] [Indexed: 07/13/2023] Open
Abstract
The aim of the present study was to maximize the extraction of gymnemic acid (GA) from Phak Chiang Da (PCD) leaves, an indigenous medicinal plant used for diabetic treatment in Northern Thailand. The goal was to overcome the low concentration of GA in the leaves, which limits its applications among a larger population and develop a process to produce GA-enriched PCD extract powder. The solvent extraction method was employed to extract GA from PCD leaves. The effect of ethanol concentration and extraction temperature were investigated to determine the optimum extraction conditions. A process was developed to produce GA-enriched PCD extract powder, and its properties were characterized. In addition, color analysis (L*, a*, and b*) was performed to evaluate the overall appearance of the PCD extract powder. Antioxidant activity assay was conducted to assess the ability of the PCD extract powder to neutralize DPPH free radicals. The results showed that the concentration of 50% (v/v) ethanol at 70 °C for 2 h resulted in a higher GA concentration of 8307 mg/kg from dried PCD leaves. During the drying process, the use of maltodextrin at a concentration of 0.5% (w/v) was found to produce PCD extract powder with the maximum GA concentration. The color analysis revealed that the PCD extract powder had a dark greenish tint mixed with yellow. The antioxidant activity assay showed that 0.1 g of PCD extract powder was able to neutralize 75.8% of DPPH free radicals. The results concluded that PCD extract powder could potentially be used as a source of nutraceuticals or as a functional food ingredient. These findings suggest the potential value of GA-rich PCD extract powder in various applications in the pharmaceutical, nutraceutical, or food industries.
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Affiliation(s)
- Rojarej Nunta
- Cluster of Agro Bio-Circular-Green Industry (Agro BCG) & Bioprocess Research Cluster (BRC), School of Agro-Industry, Faculty of Agro-Industry, Chiang Mai University, Chiang Mai, 50100, Thailand
- Division of Food Innovation and Business, Faculty of Agricultural Technology, Lampang Rajabhat University, Lampang, 52100, Thailand
| | - Julaluk Khemacheewakul
- Cluster of Agro Bio-Circular-Green Industry (Agro BCG) & Bioprocess Research Cluster (BRC), School of Agro-Industry, Faculty of Agro-Industry, Chiang Mai University, Chiang Mai, 50100, Thailand
- Faculty of Agro-Industry, Chiang Mai University, Chiang Mai, 50100, Thailand
| | - Sumeth Sommanee
- Cluster of Agro Bio-Circular-Green Industry (Agro BCG) & Bioprocess Research Cluster (BRC), School of Agro-Industry, Faculty of Agro-Industry, Chiang Mai University, Chiang Mai, 50100, Thailand
- Faculty of Agro-Industry, Chiang Mai University, Chiang Mai, 50100, Thailand
| | - Chatchadaporn Mahakuntha
- Cluster of Agro Bio-Circular-Green Industry (Agro BCG) & Bioprocess Research Cluster (BRC), School of Agro-Industry, Faculty of Agro-Industry, Chiang Mai University, Chiang Mai, 50100, Thailand
- Faculty of Agro-Industry, Chiang Mai University, Chiang Mai, 50100, Thailand
| | - Mayuree Chompoo
- Division of Food Innovation and Business, Faculty of Agricultural Technology, Lampang Rajabhat University, Lampang, 52100, Thailand
| | - Yuthana Phimolsiripol
- Cluster of Agro Bio-Circular-Green Industry (Agro BCG) & Bioprocess Research Cluster (BRC), School of Agro-Industry, Faculty of Agro-Industry, Chiang Mai University, Chiang Mai, 50100, Thailand
- Faculty of Agro-Industry, Chiang Mai University, Chiang Mai, 50100, Thailand
| | - Kittisak Jantanasakulwong
- Cluster of Agro Bio-Circular-Green Industry (Agro BCG) & Bioprocess Research Cluster (BRC), School of Agro-Industry, Faculty of Agro-Industry, Chiang Mai University, Chiang Mai, 50100, Thailand
- Faculty of Agro-Industry, Chiang Mai University, Chiang Mai, 50100, Thailand
| | - Anbarasu Kumar
- Cluster of Agro Bio-Circular-Green Industry (Agro BCG) & Bioprocess Research Cluster (BRC), School of Agro-Industry, Faculty of Agro-Industry, Chiang Mai University, Chiang Mai, 50100, Thailand.
- Faculty of Agro-Industry, Chiang Mai University, Chiang Mai, 50100, Thailand.
- Department of Biotechnology, Periyar Maniammai Institute of Science & Technology, Thanjavur, 613403, India.
| | - Noppol Leksawasdi
- Cluster of Agro Bio-Circular-Green Industry (Agro BCG) & Bioprocess Research Cluster (BRC), School of Agro-Industry, Faculty of Agro-Industry, Chiang Mai University, Chiang Mai, 50100, Thailand.
- Faculty of Agro-Industry, Chiang Mai University, Chiang Mai, 50100, Thailand.
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Yang T, Zheng X, Vidyarthi SK, Xiao H, Yao X, Li Y, Zang Y, Zhang J. Artificial Neural Network Modeling and Genetic Algorithm Multiobjective Optimization of Process of Drying-Assisted Walnut Breaking. Foods 2023; 12:foods12091897. [PMID: 37174434 PMCID: PMC10178508 DOI: 10.3390/foods12091897] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 04/15/2023] [Accepted: 05/04/2023] [Indexed: 05/15/2023] Open
Abstract
This study combined an artificial neural network (ANN) with a genetic algorithm (GA) to obtain the model and optimal process parameters of drying-assisted walnut breaking. Walnuts were dried at different IR temperatures (40 °C, 45 °C, 50 °C, and 55 °C) and air velocities (1, 2, 3, and 4 m/s) to different moisture contents (10%, 15%, 20%, and 25%) by using air-impingement technology. Subsequently, the dried walnuts were broken in different loading directions (sutural, longitudinal, and vertical). The drying time (DT), specific energy consumption (SEC), high kernel rate (HR), whole kernel rate (WR), and shell-breaking rate (SR) were determined as response variables. An ANN optimized by a GA was applied to simulate the influence of IR temperature, air velocity, moisture content, and loading direction on the five response variables, from which the objective functions of DT, SEC, HR, WR, and SR were developed. A GA was applied for the simultaneous maximization of HR, WR, and SR and minimization of DT and SEC to determine the optimized process parameters. The ANN model had a satisfactory prediction ability, with the coefficients of determination of 0.996, 0.998, 0.990, 0.991, and 0.993 for DT, SEC, HR, WR, and SR, respectively. The optimized process parameters were found to be 54.9 °C of IR temperature, 3.66 m/s of air velocity, 10.9% of moisture content, and vertical loading direction. The model combining an ANN and a GA was proven to be an effective method for predicting and optimizing the process parameters of walnut breaking. The predicted values under optimized process parameters fitted the experimental data well, with a low relative error value of 2.51-3.96%. This study can help improve the quality of walnut breaking, processing efficiency, and energy conservation. The ANN modeling and GA multiobjective optimization method developed in this study provide references for the process optimization of walnut and other similar commodities.
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Affiliation(s)
- Taoqing Yang
- College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China
- Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832003, China
- Key Laboratory of Modern Agricultural Machinery Corps, Shihezi 832003, China
| | - Xia Zheng
- College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China
- Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832003, China
- Key Laboratory of Modern Agricultural Machinery Corps, Shihezi 832003, China
| | - Sriram K Vidyarthi
- Department of Biological and Agricultural Engineering, University of California, One Shields Avenue, Davis, CA 95616, USA
| | - Hongwei Xiao
- College of Engineering, China Agricultural University, Beijing 100080, China
| | - Xuedong Yao
- College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China
- Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832003, China
- Key Laboratory of Modern Agricultural Machinery Corps, Shihezi 832003, China
| | - Yican Li
- College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China
- Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832003, China
- Key Laboratory of Modern Agricultural Machinery Corps, Shihezi 832003, China
| | - Yongzhen Zang
- College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China
- Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832003, China
- Key Laboratory of Modern Agricultural Machinery Corps, Shihezi 832003, China
| | - Jikai Zhang
- College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China
- Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832003, China
- Key Laboratory of Modern Agricultural Machinery Corps, Shihezi 832003, China
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Sakre N, Das SK, Maiti B. Hybrid microwave with hot air drying of black‐gram (
Vigna mungo L
) nuggets: Drying characteristics, modeling and process optimization. J FOOD PROCESS PRES 2022. [DOI: 10.1111/jfpp.17012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Nilesh Sakre
- Agricultural and Food Engineering Department Indian Institute of Technology Kharagpur 721302 India
| | - S. K. Das
- Agricultural and Food Engineering Department Indian Institute of Technology Kharagpur 721302 India
| | - B. Maiti
- Department of Mechanical Engineering Indian Institute of Technology Kharagpur 721302 India
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Ceccanti C, Finimundy TC, Melgar B, Pereira C, Ferreira ICFR, Barros L. Sequential steps of the incorporation of bioactive plant extracts from wild Italian Plantago coronopus L. and Cichorium intybus L. leaves in fresh egg pasta. Food Chem 2022; 384:132462. [PMID: 35193018 DOI: 10.1016/j.foodchem.2022.132462] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 02/10/2022] [Accepted: 02/12/2022] [Indexed: 12/12/2022]
Abstract
The application of bioactive extracts from Cichorium intybus L. and Plantago coronopus L. species were incorporated as a functional ingredient in fresh egg pasta (Fettuccine). In that sense, a pasta making procedure was accessed using different concentrations of the plant extracts (0.25-0.63 mg/g), drying times (20-420 min) and drying temperatures (40-90 °C; only for P. coronopus enriched pasta), to screen an optimal factor selection in the pasta making procedure and to enhance the bioactive properties of the final product. In the chemical characterisation of the plant extracts, twenty-five phenolic compounds were tentatively identified (twenty compounds belonging to phenolic acid and phenylpropanoid classes and five belonging to the flavonoid sub-class) and a strong synergy between the plant extract concentration and the drying time was showed. The analysed antioxidant properties were enhanced by the phenolic compounds of the extracts and a new functional food with higher bioactive quality was developed.
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Affiliation(s)
- Costanza Ceccanti
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal; Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto, 80-56124 Pisa, Italy
| | - Tiane C Finimundy
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
| | - Bruno Melgar
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
| | - Carla Pereira
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
| | - Isabel C F R Ferreira
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
| | - Lillian Barros
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal.
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Effect of blanching and drying methods of spinach on the physicochemical properties and cooking quality of enriched pasta. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2022. [DOI: 10.1007/s11694-021-01155-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Milde LB, Rivero DA, Chigal PS, Zubreski E, Chade M, Brumovsky LA. Changes in the physical, textural and chemical properties of the enriched pasta elaborated with cassava starch. Int J Gastron Food Sci 2021. [DOI: 10.1016/j.ijgfs.2021.100396] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Current Trends in Enrichment of Wheat Pasta: Quality, Nutritional Value and Antioxidant Properties. Processes (Basel) 2021. [DOI: 10.3390/pr9081280] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Wheat pasta is one of the most important cereal products and is becoming increasingly popular worldwide because of its convenience, simple formulation, long shelf life, and high energetic value. Wheat pasta is usually obtained from refined flour rich in carbohydrates but with low content of phytochemicals, micronutrients, and fibre. The increased demand of consumers for healthy foods has generated interest among both researchers and food producers in developing functional food products. This review showcases the current trends in pasta fortification. Changes in the nutritional value, cooking quality, sensory attributes, and antioxidant properties of durum and common wheat pasta enriched with both plant and animal raw materials are discussed.
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