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Yudhistira B, Adi P, Mulyani R, Chang CK, Gavahian M, Hsieh CW. Achieving sustainability in heat drying processing: Leveraging artificial intelligence to maintain food quality and minimize carbon footprint. Compr Rev Food Sci Food Saf 2024; 23:e13413. [PMID: 39137001 DOI: 10.1111/1541-4337.13413] [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: 03/11/2024] [Revised: 06/28/2024] [Accepted: 07/01/2024] [Indexed: 08/15/2024]
Abstract
The food industry is a significant contributor to carbon emissions, impacting carbon footprint (CF), specifically during the heat drying process. Conventional heat drying processes need high energy and diminish the nutritional value and sensory quality of food. Therefore, this study aimed to investigate the integration of artificial intelligence (AI) in food processing to enhance quality and reduce CF, with a focus on heat drying, a high energy-consuming method, and offer a promising avenue for the industry to be consistent with sustainable development goals. Our finding shows that AI can maintain food quality, including nutritional and sensory properties of dried products. It determines the optimal drying temperature for improving energy efficiency, yield, and life cycle cost. In addition, dataset training is one of the key challenges in AI applications for food drying. AI needs a vast and high-quality dataset that directly impacts the performance and capabilities of AI models to optimize and automate food drying.
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Affiliation(s)
- Bara Yudhistira
- Department of Food Science and Technology, Sebelas Maret University, Surakarta City, Central Java, Indonesia
| | - Prakoso Adi
- International Doctoral Program in Agriculture, National Chung Hsing University, Taichung City, Taiwan, Republic of China
- Department of Agricultural Product Technology, Sebelas Maret University, Surakarta City, Central Java, Indonesia
| | - Rizka Mulyani
- International Doctoral Program in Agriculture, National Chung Hsing University, Taichung City, Taiwan, Republic of China
- Department of Agricultural Product Technology, Sebelas Maret University, Surakarta City, Central Java, Indonesia
| | - Chao-Kai Chang
- Department of Food Science and Biotechnology, National Chung Hsing University, Taichung City, Taiwan, Republic of China
| | - Mohsen Gavahian
- Department of Food Science, National Pingtung University of Science and Technology, Pingtung, Taiwan, Republic of China
| | - Chang-Wei Hsieh
- Department of Food Science and Biotechnology, National Chung Hsing University, Taichung City, Taiwan, Republic of China
- Department of Food Science, National Ilan University, Yilan City, Taiwan, Republic of China
- Department of Medical Research, China Medical University Hospital, Taichung City, Taiwan, Republic of China
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Khan MIH, Longa D, Sablani SS, Gu Y. A Novel Machine Learning–Based Approach for Characterising the Micromechanical Properties of Food Material During Drying. FOOD BIOPROCESS TECH 2022. [DOI: 10.1007/s11947-022-02945-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Joardder MUH, Rashid F, Karim MA. The Relationships Between Structural Properties and Mechanical Properties of Plant-Based Food Materials: A Critical Review. FOOD REVIEWS INTERNATIONAL 2022. [DOI: 10.1080/87559129.2022.2100415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
- Mohammad U. H. Joardder
- Department of Mechanical Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh
- Faculty of Engineering and Science, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Fazlur Rashid
- Department of Mechanical Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh
- Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, Missouri, USA
| | - M. A. Karim
- Faculty of Engineering and Science, Queensland University of Technology, Brisbane, Queensland, Australia
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Arzate-Vázquez I, Méndez-Méndez JV, Nicolás-Bermúdez J, Chanona-Pérez JJ, Domínguez-Fernández RN, Vélez-Rivera N. Effect of calcium oxalate crystals on the micromechanical properties of sclerenchyma tissue from the pecan nutshell (Carya illinoinensis). PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2022; 170:249-254. [PMID: 34922141 DOI: 10.1016/j.plaphy.2021.12.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 12/08/2021] [Accepted: 12/11/2021] [Indexed: 06/14/2023]
Abstract
The objective of this study was to evaluate the effect of the presence of calcium oxalate (CaOx) crystals on the micromechanical properties of sclerenchyma tissue from the pecan nutshell (Carya illinoinensis). The microstructure of the cross-section nutshell was examined using light microscopy (LM) and atomic force microscopy (AFM). Using an instrumented indentation system, indentation tests with maximum loads of 500 mN were made on the biological material where the variables studied were the number of crystals present in the evaluated area and the size of individual crystals. Microscopic analysis revealed that the pecan nutshell consists of sclerenchyma tissue with multiple CaOx crystals randomly distributed throughout the material, exhibiting prismatic shapes and various sizes. The results of the indentation tests showed that the examined areas where there were crystals (1, 2 or up to 3) presented values of hardness and elastic modulus significantly higher (P < 0.05) compared to the sclerenchyma (without crystals). Likewise, there were no significant differences (P > 0.05) between the values of the micromechanical properties of the areas evaluated as a function of the number of crystals. On the other hand, it was observed that the size of the crystals did not show a direct correlation with the mechanical properties evaluated as expected. In conclusion, the biomineralization phenomenon is a successful strategy designed by nature to improve the rigidity of the pecan nutshell, where the CaOx crystals strengthen the structure by increasing the micromechanical properties.
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Affiliation(s)
- I Arzate-Vázquez
- Centro de Nanociencias y Micro y Nanotecnologías, Instituto Politécnico Nacional, Luis Enrique Erro s/n, Zacatenco, 07738, Ciudad de México, Mexico.
| | - J V Méndez-Méndez
- Centro de Nanociencias y Micro y Nanotecnologías, Instituto Politécnico Nacional, Luis Enrique Erro s/n, Zacatenco, 07738, Ciudad de México, Mexico.
| | - J Nicolás-Bermúdez
- Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Prolongación de Carpio y Plan de Ayala s/n, Santo Tomás, 11340, Ciudad de México, Mexico.
| | - J J Chanona-Pérez
- Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Prolongación de Carpio y Plan de Ayala s/n, Santo Tomás, 11340, Ciudad de México, Mexico.
| | - R N Domínguez-Fernández
- Centro Interdisciplinario de Ciencias de la Salud, Unidad Milpa Alta, Instituto Politécnico Nacional, Carretera Xochimilco-Oaxtepec km 39.5, 12000, Milpa Alta, Ciudad de México, Mexico.
| | - N Vélez-Rivera
- Área Académica de Gastronomía, Instituto de Ciencias Económico-Administrativas, Universidad Autónoma del Estado de Hidalgo, Circuito de la Concepción km 2.5, San Juan Tilcuautla, 42160, San Agustín Tlaxiaca, Hidalgo, Mexico.
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Qu H, Masud MH, Islam M, Khan MIH, Ananno AA, Karim A. Sustainable food drying technologies based on renewable energy sources. Crit Rev Food Sci Nutr 2021; 62:6872-6886. [PMID: 33905261 DOI: 10.1080/10408398.2021.1907529] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Waste in the food supply chain is estimated to be about 30-40% of the total food production, which aggravates the world hunger and increases waste management burden and environmental impact. Despite the dire food scarcity, majority of this food waste takes place in developing countries because of the lack of appropriate and affordable preservation techniques. Traditional open sun drying is the most popular food-reservation technique to the local farmers due to near-zero capital cost and cheap labor cost. However, this method is highly energy intensive, unhygienic, and time demanding. The high energy consumption resulting from uncontrolled simultaneous heat, mass, and momentum transfer processes in traditional drying systems highlights the necessity of pursuing sustainability in drying process targeting reduced energy consumption, environmental and social impacts. This paper presents a comprehensive review on the sustainable food drying technologies based on renewable energy sources, with emphasis on the developing countries. It was observed that the integration of thermal energy storage with heat pump makes the integrated drying system more efficient, and dries food with better quality. Likewise, advanced integrated drying systems, such as, solar with microwave, and heat pump with microwave make the drying process more cost and quality competent. Finally, impact of resource distribution and governmental incentives for renewable energy use in sustainable drying is discussed.
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Affiliation(s)
- Hang Qu
- Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia.,School of Food Engineering, Ludong University, Yantai, Shandong, China
| | - M H Masud
- School of Engineering, RMIT University, Melbourne, VIC, Australia.,Department of Mechanical Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh
| | - Majedul Islam
- Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia
| | - Md Imran Hossen Khan
- Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia.,Department of Mechanical Engineering, Dhaka University of Engineering and Technology, Gazipur, Bangladesh
| | - Anan Ashrabi Ananno
- Department of Mechanical Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh
| | - Azharul Karim
- Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia
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Purlis E, Cevoli C, Fabbri A. Modelling Volume Change and Deformation in Food Products/Processes: An Overview. Foods 2021; 10:778. [PMID: 33916418 PMCID: PMC8067021 DOI: 10.3390/foods10040778] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 03/31/2021] [Accepted: 04/01/2021] [Indexed: 11/25/2022] Open
Abstract
Volume change and large deformation occur in different solid and semi-solid foods during processing, e.g., shrinkage of fruits and vegetables during drying and of meat during cooking, swelling of grains during hydration, and expansion of dough during baking and of snacks during extrusion and puffing. In addition, food is broken down during oral processing. Such phenomena are the result of complex and dynamic relationships between composition and structure of foods, and driving forces established by processes and operating conditions. In particular, water plays a key role as plasticizer, strongly influencing the state of amorphous materials via the glass transition and, thus, their mechanical properties. Therefore, it is important to improve the understanding about these complex phenomena and to develop useful prediction tools. For this aim, different modelling approaches have been applied in the food engineering field. The objective of this article is to provide a general (non-systematic) review of recent (2005-2021) and relevant works regarding the modelling and simulation of volume change and large deformation in various food products/processes. Empirical- and physics-based models are considered, as well as different driving forces for deformation, in order to identify common bottlenecks and challenges in food engineering applications.
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Affiliation(s)
| | - Chiara Cevoli
- Department of Agricultural and Food Sciences, Alma Mater Studiorum, Università di Bologna, 47521 Cesena, Italy;
| | - Angelo Fabbri
- Department of Agricultural and Food Sciences, Alma Mater Studiorum, Università di Bologna, 47521 Cesena, Italy;
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