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Vinothkanna A, Dar OI, Liu Z, Jia AQ. Advanced detection tools in food fraud: A systematic review for holistic and rational detection method based on research and patents. Food Chem 2024; 446:138893. [PMID: 38432137 DOI: 10.1016/j.foodchem.2024.138893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 02/15/2024] [Accepted: 02/26/2024] [Indexed: 03/05/2024]
Abstract
Modern food chain supply management necessitates the dire need for mitigating food fraud and adulterations. This holistic review addresses different advanced detection technologies coupled with chemometrics to identify various types of adulterated foods. The data on research, patent and systematic review analyses (2018-2023) revealed both destructive and non-destructive methods to demarcate a rational approach for food fraud detection in various countries. These intricate hygiene standards and AI-based technology are also summarized for further prospective research. Chemometrics or AI-based techniques for extensive food fraud detection are demanded. A systematic assessment reveals that various methods to detect food fraud involving multiple substances need to be simple, expeditious, precise, cost-effective, eco-friendly and non-intrusive. The scrutiny resulted in 39 relevant experimental data sets answering key questions. However, additional research is necessitated for an affirmative conclusion in food fraud detection system with modern AI and machine learning approaches.
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Affiliation(s)
- Annadurai Vinothkanna
- School of Life and Health Sciences, Hainan University, Haikou 570228, China; Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 570311, China.
| | - Owias Iqbal Dar
- School of Chemistry and Chemical Engineering, Hainan University, Haikou 570228, China
| | - Zhu Liu
- School of Life and Health Sciences, Hainan University, Haikou 570228, China.
| | - Ai-Qun Jia
- Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 570311, China.
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2
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Zou Y, Shi Y, Wang T, Ji S, Zhang X, Shen T, Huang X, Xiao J, Farag MA, Shi J, Zou X. Quantum dots as advanced nanomaterials for food quality and safety applications: A comprehensive review and future perspectives. Compr Rev Food Sci Food Saf 2024; 23:e13339. [PMID: 38578165 DOI: 10.1111/1541-4337.13339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/18/2024] [Accepted: 03/19/2024] [Indexed: 04/06/2024]
Abstract
The importance of food quality and safety lies in ensuring the best product quality to meet consumer demands and public health. Advanced technologies play a crucial role in minimizing the risk of foodborne illnesses, contamination, drug residue, and other potential hazards in food. Significant materials and technological advancements have been made throughout the food supply chain. Among them, quantum dots (QDs), as a class of advanced nanomaterials with unique physicochemical properties, are progressively demonstrating their value in the field of food quality and safety. This review aims to explore cutting-edge research on the different applications of QDs in food quality and safety, including encapsulation of bioactive compounds, detection of food analytes, food preservation and packaging, and intelligent food freshness indicators. Moreover, the modification strategies and potential toxicities of diverse QDs are outlined, which can affect performance and hinder applications in the food industry. The findings suggested that QDs are mainly used in analyte detection and active/intelligent food packaging. Various food analytes can be detected using QD-based sensors, including heavy metal ions, pesticides, antibiotics, microorganisms, additives, and functional components. Moreover, QD incorporation aided in improving the antibacterial and antioxidant activities of film/coatings, resulting in extended shelf life for packaged food. Finally, the perspectives and critical challenges for the productivity, toxicity, and practical application of QDs are also summarized. By consolidating these essential aspects into this review, the way for developing high-performance QD-based nanomaterials is presented for researchers and food technologists to better capitalize upon this technology in food applications.
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Affiliation(s)
- Yucheng Zou
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, China
- International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing (Jiangsu University), Jiangsu Education Department, Zhenjiang, China
| | - Yongqiang Shi
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, China
- International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing (Jiangsu University), Jiangsu Education Department, Zhenjiang, China
| | - Tianxing Wang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, China
- International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing (Jiangsu University), Jiangsu Education Department, Zhenjiang, China
| | - Shengyang Ji
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Xinai Zhang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, China
- International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing (Jiangsu University), Jiangsu Education Department, Zhenjiang, China
| | - Tingting Shen
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, China
- International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing (Jiangsu University), Jiangsu Education Department, Zhenjiang, China
| | - Xiaowei Huang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, China
- International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing (Jiangsu University), Jiangsu Education Department, Zhenjiang, China
| | - Jianbo Xiao
- Department of Analytical and Food Chemistry, Universidade de Vigo, Ourense, Spain
| | - Mohamed A Farag
- Pharmacognosy Department, College of Pharmacy, Cairo University, Cairo P.B., Egypt
| | - Jiyong Shi
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, China
- International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing (Jiangsu University), Jiangsu Education Department, Zhenjiang, China
| | - Xiaobo Zou
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, China
- International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing (Jiangsu University), Jiangsu Education Department, Zhenjiang, China
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3
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Tanimoto S, Hirata Y, Ishizu S, Wang R, Furuta A, Mabuchi R, Okada G. Changes in the Quality and Microflora of Yellowtail Seriola quinqueradiata Muscles during Cold Storage. Foods 2024; 13:1086. [PMID: 38611390 PMCID: PMC11012079 DOI: 10.3390/foods13071086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 03/20/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
We evaluated the changes in the quality and microflora of yellowtail flesh cold-stored until spoilage. Based on the sensory evaluation, odor palatability was deemed unacceptable for dark muscle (DM) and the dorsal part of the ordinary muscle (OD) after >10 days and 14 of storage, respectively. Log 7 CFU/g in DM as well as OD was obtained on days 10 (Aeromonas spp.) and 14 (Enterobacteriaceae and Pseudomonas spp.) of storage, whereas log 5 (Brocothrix thermosphacta) and 6 (H2S-producing bacteria) CFU/g in them were obtained on day 14 of storage. In these bacteria, the viable bacterial counts of Pseudomonas spp. and Aeromonas spp. in DM were significantly higher than those in OD only at some storage times. Amplicon sequencing revealed that in both muscles, Pseudomonas became predominant after storage, with greater than 90% recorded after more than 10 days of storage. The relative abundances of Acinetobacter, Unclassified Gammaproteobacter, and Shewanella were relatively high in both muscles after more than 10 days of storage; however, these values were less than 5%. Ethyl butyrate in the OD and DM and 2,3-butanedione in the OD were first detected on days 14 and 10 of storage, respectively. Acetoin in the OD increased by 81-fold after 14 days of storage and was significantly increased in the DM after more than 10 days compared with the amount detected pre-storage. Volatiles, such as (E)-2-pentenal in the OD and 1-pentanol in the DM, decreased and increased linearly, respectively, throughout the 14-day storage period. Altogether, these volatile components may cause quality deterioration due to spoilage and/or lipid oxidation during cold storage of the OD and DM.
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Affiliation(s)
- Shota Tanimoto
- Faculty of Regional Development, Prefectural University of Hiroshima, Hiroshima 734-0003, Japan; (A.F.); (G.O.)
| | - Yuka Hirata
- Faculty of Human Culture and Science, Prefectural University of Hiroshima, Hiroshima 734-0003, Japan;
| | - Shinta Ishizu
- Graduate School of Comprehensive Scientific Research, Prefectural University of Hiroshima, Shobara 734-0003, Japan; (S.I.); (R.W.)
| | - Run Wang
- Graduate School of Comprehensive Scientific Research, Prefectural University of Hiroshima, Shobara 734-0003, Japan; (S.I.); (R.W.)
| | - Ayumi Furuta
- Faculty of Regional Development, Prefectural University of Hiroshima, Hiroshima 734-0003, Japan; (A.F.); (G.O.)
| | - Ryota Mabuchi
- Faculty of Bioresource Sciences, Prefectural University of Hiroshima, Shobara 727-0023, Japan;
| | - Genya Okada
- Faculty of Regional Development, Prefectural University of Hiroshima, Hiroshima 734-0003, Japan; (A.F.); (G.O.)
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4
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Amador-Cervera M, Angarita-Zapata JS, de la Calle Vicente A, Alonso-Vicario A. The FOODRUS index: Assessing suitability for effective food loss and waste prevention management under an integral perspective. Waste Manag 2024; 179:32-43. [PMID: 38447257 DOI: 10.1016/j.wasman.2024.02.050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 01/24/2024] [Accepted: 02/29/2024] [Indexed: 03/08/2024]
Abstract
The impact of food loss and waste (FLW) generation on food supply chains' (FSC) sustainability represents a challenge embodied in the Sustainable Development Goal (SDG) 12.3. This problem requires a methodology to measure such an impact in a rigorous, holistic, and standardized way that can be applied to any FSC. This paper aims to develop and validate a single index to assess the readiness of FSCs to implement FLW prevention strategies and measure their impact: the so-called FOODRUS index. The co-creation methodology followed incorporates experts and FSC stakeholders feedback. The index has been validated in 3 FSCs: The Slovak pilot scored 74.35%, the Spanish pilot reached 68.79%, and the Danish pilot was rated 61.14%. Its calculation, eased by the FOODRUS index self-assessment tool (described in the Appendix), allows quick diagnosis of the FSC capability to implement FLW prevention strategies considering both the knowledge provided by experts and the experience of the FSC stakeholders that participated in its co-creation process. In this way the FSC can assess its FLW prevention performance at a strategic and management level, with the aim of improving its sustainability impact.
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Affiliation(s)
| | - Juan S Angarita-Zapata
- DeustoTech, Faculty of Engineering, University of Deusto, 48007, Bilbao, Spain; Aimsun, 08007, Barcelona, Spain.
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5
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Chen Y, Wang Y, Zhang Y, Wang X, Zhang C, Cheng N. Intelligent Biosensors Promise Smarter Solutions in Food Safety 4.0. Foods 2024; 13:235. [PMID: 38254535 PMCID: PMC10815208 DOI: 10.3390/foods13020235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/07/2024] [Accepted: 01/08/2024] [Indexed: 01/24/2024] Open
Abstract
Food safety is closely related to human health. However, the regulation and testing processes for food safety are intricate and resource-intensive. Therefore, it is necessary to address food safety risks using a combination of deep learning, the Internet of Things, smartphones, quick response codes, smart packaging, and other smart technologies. Intelligent designs that combine digital systems and advanced functionalities with biosensors hold great promise for revolutionizing current food safety practices. This review introduces the concept of Food Safety 4.0, and discusses the impact of intelligent biosensors, which offer attractive smarter solutions, including real-time monitoring, predictive analytics, enhanced traceability, and consumer empowerment, helping improve risk management and ensure the highest standards of food safety.
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Affiliation(s)
- Yuehua Chen
- School of Electrical and Information, Northeast Agricultural University, Harbin 150030, China;
| | - Yicheng Wang
- School of Food Science, Northeast Agricultural University, Harbin 150030, China;
| | - Yiran Zhang
- College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China; (Y.Z.); (C.Z.)
| | - Xin Wang
- College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China; (Y.Z.); (C.Z.)
| | - Chen Zhang
- College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China; (Y.Z.); (C.Z.)
| | - Nan Cheng
- College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China; (Y.Z.); (C.Z.)
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6
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Arroyo-Cerezo A, Yang X, Jiménez-Carvelo AM, Pellegrino M, Felicita Savino A, Berzaghi P. Assessment of extra virgin olive oil quality by miniaturized near infrared instruments in a rapid and non-destructive procedure. Food Chem 2024; 430:137043. [PMID: 37541043 DOI: 10.1016/j.foodchem.2023.137043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/06/2023]
Abstract
Food fraud in olive oil is a major concern for consumers and authorities due to the health risks and economic impacts. Common frauds include blending with other cheaper non-olive oils, or misleading labelling. The main issue is that legislation and methods presently used in routine laboratories are not always up to date with current fraudulent practices, making detection difficult, so new analytical methods development is required. This study focuses on developing an affordable and non-destructive analysis method based on NIR spectroscopy and chemometrics for EVOO quality assessment, specifically by monitoring 7 parameters of interest in EVOO measured by official methods and used to develop calibrations through NIR data. For this, two NIR low-cost portable instruments were employed, studied in-depth and compared with a NIR benchtop instrument. Calibration results enabled detection of atypical olive oils and excellent accuracy, especially for palmitic and oleic acid predictions, demonstrating the potential of the instruments.
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Affiliation(s)
- Alejandra Arroyo-Cerezo
- Department of Analytical Chemistry, University of Granada, C/ Fuentenueva s/n, 18071 Granada, Spain
| | - Xueping Yang
- Department of Animal Medicine, Production and Health, University of Padua, Via Dell'Università 16, 35020 Legnaro, Italy
| | - Ana M Jiménez-Carvelo
- Department of Analytical Chemistry, University of Granada, C/ Fuentenueva s/n, 18071 Granada, Spain.
| | - Marina Pellegrino
- Department of Animal Medicine, Production and Health, University of Padua, Via Dell'Università 16, 35020 Legnaro, Italy; Laboratorio di Perugia -ICQRF-MASAF, Via della Madonna Alta 138c/d, 06128 Perugia, Italy
| | - Angela Felicita Savino
- Laboratorio di Perugia -ICQRF-MASAF, Via della Madonna Alta 138c/d, 06128 Perugia, Italy
| | - Paolo Berzaghi
- Department of Animal Medicine, Production and Health, University of Padua, Via Dell'Università 16, 35020 Legnaro, Italy
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7
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Ding H, Tian J, Yu W, Wilson DI, Young BR, Cui X, Xin X, Wang Z, Li W. The Application of Artificial Intelligence and Big Data in the Food Industry. Foods 2023; 12:4511. [PMID: 38137314 PMCID: PMC10742996 DOI: 10.3390/foods12244511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/11/2023] [Accepted: 12/16/2023] [Indexed: 12/24/2023] Open
Abstract
Over the past few decades, the food industry has undergone revolutionary changes due to the impacts of globalization, technological advancements, and ever-evolving consumer demands. Artificial intelligence (AI) and big data have become pivotal in strengthening food safety, production, and marketing. With the continuous evolution of AI technology and big data analytics, the food industry is poised to embrace further changes and developmental opportunities. An increasing number of food enterprises will leverage AI and big data to enhance product quality, meet consumer needs, and propel the industry toward a more intelligent and sustainable future. This review delves into the applications of AI and big data in the food sector, examining their impacts on production, quality, safety, risk management, and consumer insights. Furthermore, the advent of Industry 4.0 applied to the food industry has brought to the fore technologies such as smart agriculture, robotic farming, drones, 3D printing, and digital twins; the food industry also faces challenges in smart production and sustainable development going forward. This review articulates the current state of AI and big data applications in the food industry, analyses the challenges encountered, and discusses viable solutions. Lastly, it outlines the future development trends in the food industry.
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Affiliation(s)
- Haohan Ding
- Science Center for Future Foods, Jiangnan University, Wuxi 214122, China; (H.D.); (X.X.)
- School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China; (J.T.); (W.L.)
| | - Jiawei Tian
- School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China; (J.T.); (W.L.)
| | - Wei Yu
- Department of Chemical & Materials Engineering, University of Auckland, Auckland 1010, New Zealand; (W.Y.); (B.R.Y.)
| | - David I. Wilson
- Electrical and Electronic Engineering Department, Auckland University of Technology, Auckland 1010, New Zealand;
| | - Brent R. Young
- Department of Chemical & Materials Engineering, University of Auckland, Auckland 1010, New Zealand; (W.Y.); (B.R.Y.)
| | - Xiaohui Cui
- Science Center for Future Foods, Jiangnan University, Wuxi 214122, China; (H.D.); (X.X.)
- School of Cyber Science and Engineering, Wuhan University, Wuhan 430072, China
| | - Xing Xin
- Science Center for Future Foods, Jiangnan University, Wuxi 214122, China; (H.D.); (X.X.)
| | - Zhenyu Wang
- Jiaxing Institute of Future Food, Jiaxing 314050, China;
| | - Wei Li
- School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China; (J.T.); (W.L.)
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Weidner L, Cannas JV, Rychlik M, Schmitt-Kopplin P. Molecular Characterization of Cooking Processes: A Metabolomics Decoding of Vaporous Emissions for Food Markers and Thermal Reaction Indicators. J Agric Food Chem 2023. [PMID: 37917545 DOI: 10.1021/acs.jafc.3c05383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/04/2023]
Abstract
Thermal processing of food plays a fundamental role in everyday life. Whereas most researchers study thermal processes directly in the matrix, molecular information in the form of non- and semivolatile compounds conveyed by vaporous emissions is often neglected. We performed a metabolomics study of processing emissions from 96 different food items to define the interaction between the processed matrix and released metabolites. Untargeted profiling of vapor samples revealed matrix-dependent molecular spaces that were characterized by Fourier-transform ion cyclotron resonance-mass spectrometry and ultra-performance liquid chromatography-mass spectrometry. Thermal degradation products of peptides and amino acids can be used for the differentiation of animal-based food from plant-based food, which generally is characterized by secondary plant metabolites or carbohydrates. Further, heat-sensitive processing indicators were characterized and discussed in the background of the Maillard reaction. These reveal that processing emissions contain a dense layer of information suitable for deep insights into food composition and control of cooking processes based on processing emissions.
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Affiliation(s)
- Leopold Weidner
- Comprehensive Foodomics Platform, Chair of Analytical Food Chemistry, TUM School of Life Sciences, Technical University of Munich, Maximus-von-Imhof-Forum 2, 85354 Freising, Germany
- Analytical BioGeoChemistry, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Jil Vittoria Cannas
- Comprehensive Foodomics Platform, Chair of Analytical Food Chemistry, TUM School of Life Sciences, Technical University of Munich, Maximus-von-Imhof-Forum 2, 85354 Freising, Germany
| | - Michael Rychlik
- Comprehensive Foodomics Platform, Chair of Analytical Food Chemistry, TUM School of Life Sciences, Technical University of Munich, Maximus-von-Imhof-Forum 2, 85354 Freising, Germany
| | - Philippe Schmitt-Kopplin
- Comprehensive Foodomics Platform, Chair of Analytical Food Chemistry, TUM School of Life Sciences, Technical University of Munich, Maximus-von-Imhof-Forum 2, 85354 Freising, Germany
- Analytical BioGeoChemistry, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
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Ahmed MW, Hossainy SJ, Khaliduzzaman A, Emmert JL, Kamruzzaman M. Non-destructive optical sensing technologies for advancing the egg industry toward Industry 4.0: A review. Compr Rev Food Sci Food Saf 2023; 22:4378-4403. [PMID: 37602873 DOI: 10.1111/1541-4337.13227] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 07/20/2023] [Accepted: 07/28/2023] [Indexed: 08/22/2023]
Abstract
The egg is considered one of the best sources of dietary protein, and has an important role in human growth and development. With the increase in the world's population, per capita egg consumption is also increasing. Ground-breaking technological developments have led to numerous inventions like the Internet of Things (IoT), various optical sensors, robotics, artificial intelligence (AI), big data, and cloud computing, transforming the conventional industry into a smart and sustainable egg industry, also known as Egg Industry 4.0 (EI 4.0). The EI 4.0 concept has the potential to improve automation, enhance biosecurity, promote the safeguarding of animal welfare, increase intelligent grading and quality inspection, and increase efficiency. For a sustainable Industry 4.0 transformation, it is important to analyze available technologies, the latest research, existing limitations, and prospects. This review examines the existing non-destructive optical sensing technologies for the egg industry. It provides information and insights on the different components of EI 4.0, including emerging EI 4.0 technologies for egg production, quality inspection, and grading. Furthermore, drawbacks of current EI 4.0 technologies, potential workarounds, and future trends were critically analyzed. This review can help policymakers, industrialists, and academicians to better understand the integration of non-destructive technologies and automation. This integration has the potential to increase productivity, improve quality control, and optimize resource management toward sustainable development of the egg industry.
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Affiliation(s)
- Md Wadud Ahmed
- Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Sahir Junaid Hossainy
- Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Alin Khaliduzzaman
- Graduate School of Information Science, University of Hyogo, Kobe, Japan
| | - Jason Lee Emmert
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Mohammed Kamruzzaman
- Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
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10
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Derossi A, Di Palma E, Moses JA, Santhoshkumar P, Caporizzi R, Severini C. Avenues for non-conventional robotics technology applications in the food industry. Food Res Int 2023; 173:113265. [PMID: 37803578 DOI: 10.1016/j.foodres.2023.113265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/06/2023] [Accepted: 07/11/2023] [Indexed: 10/08/2023]
Abstract
Robots in manufacturing alleviate hazardous environmental conditions, reduce the physical/mental stress of the workers, maintain high precision for repetitive movements, reduce errors, speed up production, and minimize production costs. Although robots have pervaded many industrial sectors and domestic environments, the experiments in the food sectors are limited to pick-and-place operations and meat processing while we are assisting new attention in gastronomy. Given the great performances of the robots, there would be many other intriguing applications to explore which could usher the transition to precision food manufacturing. This review wants open thoughts and opinions on the use of robots in different food operations. First, we reviewed the recent advances in common applications - e.g. novel sensors, end-effectors, and robotic cutting. Then, we analyzed the use of robots in other operations such as cleaning, mixing/kneading, dough manipulation, precision dosing/cooking, and additive manufacturing. Finally, the most recent improvements of robotics in gastronomy with their use in restaurants/bars and domestic environments, are examined. The comprehensive analyses and the critical discussion highlighted the needs of further scientific understanding and exploitation activities aimed to fill the gap between the laboratory-scale results and the validation in the relevant environment.
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Affiliation(s)
- A Derossi
- Department of Agriculture, Food, Natural Resources and Engineering (DAFNE), University of Foggia, Italy
| | - E Di Palma
- Department of Agriculture, Food, Natural Resources and Engineering (DAFNE), University of Foggia, Italy
| | - J A Moses
- Computational Modeling and Nanoscale Processing Unit, National Institute of Food Technology, Entrepreneurship and Management - Thanjavur, MoFPI, Govt. of India, Thanjavur, Tamil Nadu 613005, India
| | - P Santhoshkumar
- Computational Modeling and Nanoscale Processing Unit, National Institute of Food Technology, Entrepreneurship and Management - Thanjavur, MoFPI, Govt. of India, Thanjavur, Tamil Nadu 613005, India
| | - R Caporizzi
- Department of Agriculture, Food, Natural Resources and Engineering (DAFNE), University of Foggia, Italy.
| | - C Severini
- Department of Agriculture, Food, Natural Resources and Engineering (DAFNE), University of Foggia, Italy
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11
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Gallo V, Musio B. Special Issue: Novel Approaches for the Analytical Evaluation of Food Quality and Authenticity. Foods 2023; 12:3651. [PMID: 37835304 PMCID: PMC10572988 DOI: 10.3390/foods12193651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 09/27/2023] [Accepted: 09/28/2023] [Indexed: 10/15/2023] Open
Abstract
Verifying the quality and authenticity of agri-food products is essential to guaranteeing adequate food safety for consumers [...].
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Affiliation(s)
| | - Biagia Musio
- Department of Civil, Environmental, Land, Building Engineering and Chemistry (DICATECh), Polytechnic University of Bari, I-70125 Bari, Italy;
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12
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Rusu AV, Trif M, Rocha JM. Microbial Secondary Metabolites via Fermentation Approaches for Dietary Supplementation Formulations. Molecules 2023; 28:6020. [PMID: 37630272 PMCID: PMC10458110 DOI: 10.3390/molecules28166020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/03/2023] [Accepted: 08/09/2023] [Indexed: 08/27/2023] Open
Abstract
Food supplementation formulations refer to products that are designed to provide additional nutrients to the diet. Vitamins, dietary fibers, minerals and other functional compounds (such as antioxidants) are concentrated in dietary supplements. Specific amounts of dietary compounds are given to the body through food supplements, and these include as well so-called non-essential compounds such as secondary plant bioactive components or microbial natural products in addition to nutrients in the narrower sense. A significant social challenge represents how to moderately use the natural resources in light of the growing world population. In terms of economic production of (especially natural) bioactive molecules, ways of white biotechnology production with various microorganisms have recently been intensively explored. In the current review other relevant dietary supplements and natural substances (e.g., vitamins, amino acids, antioxidants) used in production of dietary supplements formulations and their microbial natural production via fermentative biotechnological approaches are briefly reviewed. Biotechnology plays a crucial role in optimizing fermentation conditions to maximize the yield and quality of the target compounds. Advantages of microbial production include the ability to use renewable feedstocks, high production yields, and the potential for cost-effective large-scale production. Additionally, it can be more environmentally friendly compared to chemical synthesis, as it reduces the reliance on petrochemicals and minimizes waste generation. Educating consumers about the benefits, safety, and production methods of microbial products in general is crucial. Providing clear and accurate information about the science behind microbial production can help address any concerns or misconceptions consumers may have.
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Affiliation(s)
- Alexandru Vasile Rusu
- CENCIRA Agrofood Research and Innovation Centre, Ion Meșter 6, 400650 Cluj-Napoca, Romania;
| | - Monica Trif
- Food Research Department, Centre for Innovative Process Engineering (CENTIV) GmbH, 28857 Syke, Germany
| | - João Miguel Rocha
- Universidade Católica Portuguesa, CBQF—Centro de Biotecnologia e Química Fina, Laboratório Associado, Escola Superior de Biotecnologia, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal
- LEPABE—Laboratory for Process Engineering, Environment, Biotechnology and Energy, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal
- ALiCE—Associate Laboratory in Chemical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal
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Hassoun A, Kamiloglu S, Garcia-Garcia G, Parra-López C, Trollman H, Jagtap S, Aadil RM, Esatbeyoglu T. Implementation of relevant fourth industrial revolution innovations across the supply chain of fruits and vegetables: A short update on Traceability 4.0. Food Chem 2023; 409:135303. [PMID: 36586255 DOI: 10.1016/j.foodchem.2022.135303] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/29/2022] [Accepted: 12/21/2022] [Indexed: 12/24/2022]
Abstract
Food Traceability 4.0 refers to the application of fourth industrial revolution (or Industry 4.0) technologies to ensure food authenticity, safety, and high food quality. Growing interest in food traceability has led to the development of a wide range of chemical, biomolecular, isotopic, chromatographic, and spectroscopic methods with varied performance and success rates. This review will give an update on the application of Traceability 4.0 in the fruits and vegetables sector, focusing on relevant Industry 4.0 enablers, especially Artificial Intelligence, the Internet of Things, blockchain, and Big Data. The results show that the Traceability 4.0 has significant potential to improve quality and safety of many fruits and vegetables, enhance transparency, reduce the costs of food recalls, and decrease waste and loss. However, due to their high implementation costs and lack of adaptability to industrial environments, most of these advanced technologies have not yet gone beyond the laboratory scale. Therefore, further research is anticipated to overcome current limitations for large-scale applications.
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Olakanmi SJ, Jayas DS, Paliwal J. Applications of imaging systems for the assessment of quality characteristics of bread and other baked goods: A review. Compr Rev Food Sci Food Saf 2023; 22:1817-1838. [PMID: 36916025 DOI: 10.1111/1541-4337.13131] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 01/10/2023] [Accepted: 02/13/2023] [Indexed: 03/16/2023]
Abstract
One of the most widely researched topics in the food industry is bread quality analysis. Different techniques have been developed to assess the quality characteristics of bakery products. However, in the last few decades, the advancement in sensor and computational technologies has increased the use of computer vision to analyze food quality (e.g., bakery products). Despite a large number of publications on the application of imaging methods in the bakery industry, comprehensive reviews detailing the use of conventional analytical techniques and imaging methods for the quality analysis of baked goods are limited. Therefore, this review aims to critically analyze the conventional methods and explore the potential of imaging techniques for the quality assessment of baked products. This review provides an in-depth assessment of the different conventional techniques used for the quality analysis of baked goods which include methods to record the physical characteristics of bread and analyze its quality, sensory-based methods, nutritional-based methods, and the use of dough rheological data for end-product quality prediction. Furthermore, an overview of the image processing stages is presented herein. We also discuss, comprehensively, the applications of imaging techniques for assessing the quality of bread and other baked goods. These applications include studying and predicting baked goods' quality characteristics (color, texture, size, and shape) and classifying them based on these features. The limitations of both conventional techniques (e.g., destructive, laborious, error-prone, and expensive) and imaging methods (e.g., illumination, humidity, and noise) and the future direction of the use of imaging methods for quality analysis of bakery products are discussed.
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Affiliation(s)
- Sunday J Olakanmi
- Department of Biosystems Engineering, 75 Chancellors Circle, University of Manitoba, Winnipeg, Manitoba, R3T 5V6, Canada
| | - Digvir S Jayas
- Department of Biosystems Engineering, 75 Chancellors Circle, University of Manitoba, Winnipeg, Manitoba, R3T 5V6, Canada
| | - Jitendra Paliwal
- Department of Biosystems Engineering, 75 Chancellors Circle, University of Manitoba, Winnipeg, Manitoba, R3T 5V6, Canada
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15
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Boukid F, Hassoun A, Zouari A, Tülbek MÇ, Mefleh M, Aït-Kaddour A, Castellari M. Fermentation for Designing Innovative Plant-Based Meat and Dairy Alternatives. Foods 2023; 12. [PMID: 36900522 DOI: 10.3390/foods12051005] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 02/13/2023] [Accepted: 02/17/2023] [Indexed: 03/02/2023] Open
Abstract
Fermentation was traditionally used all over the world, having the preservation of plant and animal foods as a primary role. Owing to the rise of dairy and meat alternatives, fermentation is booming as an effective technology to improve the sensory, nutritional, and functional profiles of the new generation of plant-based products. This article intends to review the market landscape of fermented plant-based products with a focus on dairy and meat alternatives. Fermentation contributes to improving the organoleptic properties and nutritional profile of dairy and meat alternatives. Precision fermentation provides more opportunities for plant-based meat and dairy manufacturers to deliver a meat/dairy-like experience. Seizing the opportunities that the progress of digitalization is offering would boost the production of high-value ingredients such as enzymes, fats, proteins, and vitamins. Innovative technologies such as 3D printing could be an effective post-processing solution following fermentation in order to mimic the structure and texture of conventional products.
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Hassoun A, Cropotova J, Trollman H, Jagtap S, Garcia-Garcia G, Parra-López C, Nirmal N, Özogul F, Bhat Z, Aït-Kaddour A, Bono G. Use of industry 4.0 technologies to reduce and valorize seafood waste and by-products: A narrative review on current knowledge. Curr Res Food Sci 2023; 6:100505. [PMID: 37151380 PMCID: PMC10160358 DOI: 10.1016/j.crfs.2023.100505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/07/2023] [Accepted: 04/16/2023] [Indexed: 05/09/2023] Open
Abstract
Fish and other seafood products represent a valuable source of many nutrients and micronutrients for the human diet and contribute significantly to global food security. However, considerable amounts of seafood waste and by-products are generated along the seafood value and supply chain, from the sea to the consumer table, causing severe environmental damage and significant economic loss. Therefore, innovative solutions and alternative approaches are urgently needed to ensure a better management of seafood discards and mitigate their economic and environmental burdens. The use of emerging technologies, including the fourth industrial revolution (Industry 4.0) innovations (such as Artificial Intelligence, Big Data, smart sensors, and the Internet of Things, and other advanced technologies) to reduce and valorize seafood waste and by-products could be a promising strategy to enhance blue economy and food sustainability around the globe. This narrative review focuses on the issues and risks associated with the underutilization of waste and by-products resulting from fisheries and other seafood industries. Particularly, recent technological advances and digital tools being harnessed for the prevention and valorization of these natural invaluable resources are highlighted.
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Affiliation(s)
- Abdo Hassoun
- Univ. Littoral Côte D’Opale, UMRt 1158 BioEcoAgro, USC ANSES, INRAe, Univ. Artois, Univ. Lille, Univ. Picardie Jules Verne, Univ. Liège, Junia, F-62200, Boulogne-sur-Mer, France
- Sustainable AgriFoodtech Innovation & Research (SAFIR), Arras, France
- Corresponding author. Sustainable AgriFoodtech Innovation & Research (SAFIR), Arras, France.
| | - Janna Cropotova
- Department of Biological Sciences, Ålesund, Norwegian University of Science and Technology, Larsgårdsvegen 4, 6025, Ålesund, Norway
- Corresponding author.
| | - Hana Trollman
- School of Business, University of Leicester, Leicester, LE2 1RQ, UK
| | - Sandeep Jagtap
- Sustainable Manufacturing Systems Centre, School of Aerospace, Transport & Manufacturing, Cranfield University, Cranfield, MK43 0AL, UK
| | - Guillermo Garcia-Garcia
- Department of Agrifood System Economics, Centre ‘Camino de Purchil’, Institute of Agricultural and Fisheries Research and Training (IFAPA), P.O. Box 2027, 18080, Granada, Spain
| | - Carlos Parra-López
- Department of Agrifood System Economics, Centre ‘Camino de Purchil’, Institute of Agricultural and Fisheries Research and Training (IFAPA), P.O. Box 2027, 18080, Granada, Spain
| | - Nilesh Nirmal
- Institute of Nutrition, Mahidol University, 999 Phutthamonthon 4 Road, Salaya, Phutthamonthon, Nakhon Pathom, 73170, Thailand
| | - Fatih Özogul
- Department of Seafood Processing Technology, Faculty of Fisheries, Cukurova University, 01330, Balcali, Adana, Turkey
| | - Zuhaib Bhat
- Division of Livestock Products Technology, SKUAST-Jammu, Jammu, 181102, J&K, India
| | | | - Gioacchino Bono
- Institute for Biological Resources and Marine Biotechnologies, National Research Council (IRBIM-CNR), Mazara Del Vallo, Italy
- Dipartimento di Scienze e Technologie Biologiche, Chimiche e Farmaceutiche (STEBICEF), Università Di Palermo, Viale Delle Scienze, 90128, Palermo, Italy
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Bowler A, Ozturk S, di Bari V, Glover ZJ, Watson NJ. Machine learning and domain adaptation to monitor yoghurt fermentation using ultrasonic measurements. Food Control 2023. [DOI: 10.1016/j.foodcont.2023.109622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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18
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Hassoun A, Anusha Siddiqui S, Smaoui S, Ucak İ, Arshad RN, Bhat ZF, Bhat HF, Carpena M, Prieto MA, Aït-Kaddour A, Pereira JA, Zacometti C, Tata A, Ibrahim SA, Ozogul F, Camara JS. Emerging Technological Advances in Improving the Safety of Muscle Foods: Framing in the Context of the Food Revolution 4.0. Food Reviews International 2022. [DOI: 10.1080/87559129.2022.2149776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Abdo Hassoun
- Univ. Littoral Côte d’Opale, UMRt 1158 BioEcoAgro, USC ANSES, INRAe, Univ. Artois, Univ. Lille, Univ. Picardie Jules Verne, Univ. Liège, Junia, Boulogne-sur-Mer, France
- Sustainable AgriFoodtech Innovation & Research (SAFIR), Arras, France
| | - Shahida Anusha Siddiqui
- Department of Biotechnology and Sustainability, Technical University of Munich, Campus Straubing for Biotechnology and Sustainability, Straubing, Germany
- German Institute of Food Technologies (DIL e.V.), Quakenbrück, Germany
| | - Slim Smaoui
- Laboratory of Microbial, Enzymatic Biotechnology and Biomolecules (LBMEB), Center of Biotechnology of Sfax, University of Sfax-Tunisia, Sfax, Tunisia
| | - İ̇lknur Ucak
- Faculty of Agricultural Sciences and Technologies, Nigde Omer Halisdemir University, Nigde, Turkey
| | - Rai Naveed Arshad
- Institute of High Voltage & High Current, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
| | - Zuhaib F. Bhat
- Division of Livestock Products Technology, SKUASTof Jammu, Jammu, Kashmir, India
| | - Hina F. Bhat
- Division of Animal Biotechnology, SKUASTof Kashmir, Kashmir, India
| | - María Carpena
- Nutrition and Bromatology Group, Analytical and Food Chemistry Department. Faculty of Food Science and Technology, University of Vigo, Ourense, Spain
| | - Miguel A. Prieto
- Nutrition and Bromatology Group, Analytical and Food Chemistry Department. Faculty of Food Science and Technology, University of Vigo, Ourense, Spain
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolonia, Bragança, Portugal
| | | | - Jorge A.M. Pereira
- CQM—Centro de Química da Madeira, Universidade da Madeira, Funchal, Portugal
| | - Carmela Zacometti
- Istituto Zooprofilattico Sperimentale Delle Venezie, Laboratorio di Chimica Sperimentale, Vicenza, Italy
| | - Alessandra Tata
- Istituto Zooprofilattico Sperimentale Delle Venezie, Laboratorio di Chimica Sperimentale, Vicenza, Italy
| | - Salam A. Ibrahim
- Food and Nutritional Sciences Program, North Carolina A&T State University, Greensboro, North Carolina, USA
| | - Fatih Ozogul
- Department of Seafood Processing Technology, Faculty of Fisheries, Cukurova University, Adana, Turkey
| | - José S. Camara
- CQM—Centro de Química da Madeira, Universidade da Madeira, Funchal, Portugal
- Departamento de Química, Faculdade de Ciências Exatas e Engenharia, Campus da Penteada, Universidade da Madeira, Funchal, Portugal
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Hassoun A, Prieto MA, Carpena M, Bouzembrak Y, Marvin HJ, Pallarés N, Barba FJ, Punia Bangar S, Chaudhary V, Ibrahim S, Bono G. Exploring the role of green and Industry 4.0 technologies in achieving sustainable development goals in food sectors. Food Res Int 2022; 162:112068. [DOI: 10.1016/j.foodres.2022.112068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 10/13/2022] [Accepted: 10/16/2022] [Indexed: 11/04/2022]
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20
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Hassoun A, Boukid F, Pasqualone A, Bryant CJ, García GG, Parra-lópez C, Jagtap S, Trollman H, Cropotova J, Barba FJ. Emerging trends in the agri-food sector: Digitalisation and shift to plant-based diets. Curr Res Food Sci 2022. [DOI: 10.1016/j.crfs.2022.11.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 11/08/2022] [Accepted: 11/10/2022] [Indexed: 11/18/2022] Open
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