Internet of Nonthermal Food Processing Technologies (IoNTP): Food Industry 4.0 and Sustainability
Source abstract
Abstract
With the introduction of Industry 4.0, and smart factories accordingly, there are new opportunities to implement elements of industry 4.0 in nonthermal processing. Moreover, with application of Internet of things (IoT), smart control of the process, big data optimization, as well as sustainable production and monitoring, there is a new era of Internet of nonthermal food processing technologies (IoNTP). Nonthermal technologies include high power ultrasound, pulsed electric fields, high voltage electrical discharge, high pressure processing, UV-LED, pulsed light, e-beam, and advanced thermal food processing techniques include microwave processing, ohmic heating and high-pressure homogenization. The aim of this review was to bring in front necessity to evaluate possibilities of implementing smart sensors, artificial intelligence (AI), big data, additive technologies with nonthermal technologies, with the possibility to create smart factories together with strong emphasis on sustainability. This paper brings an overview on digitalization, IoT, additive technologies (3D printing), cloud data storage and smart sensors including two SWOT analysis associated with IoNTPs and sustainability. It is of high importance to perform life cycle assessment (LCA), to quantify (En)—environmental dimension; (So)—social dimension and (Ec)—economic dimension. SWOT analysis showed: potential for energy saving during food processing; optimized overall environmental performance; lower manufacturing cost; development of eco-friendly products; higher level of health and safety during food processing and better work condition for workers. Nonthermal and advanced thermal technologies can be applied also as sustainable techniques working in line with the sustainable development goals (SDGs) and Agenda 2030 issued by United Nations (UN).
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Digital Transformation in Industry
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Food Technology and Biotechnology, University of Zagreb, 10000 Zagreb, Croatia
Faculty of Agriculture, University of Belgrade, 11080 Zemun, Serbia
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia
Green Extraction Team, INRAE, Avignon University, 84029 Avignon, France
References (100+)
Show source-provided references
1. Potentialities and limits of some non-thermal technologies to improve sustainability of food processing10.3389/fnut.2018.00130 ↗
2. Comparative life cycle assessment of plasma-based and traditional exhaust gas treatment technologies10.1016/j.jclepro.2015.01.062 ↗
3. Cacace, F., Bottani, E., Rizzi, A., and Vignali, G. (2020). Evaluation of the economic and environmental sustainability of high pressure processing of foods. Innov. Food Sci. Emerg. Technol., 60.10.1016/j.ifset.2019.102281 ↗
4. Djekic, I., Pojić, M., Tonda, A., Putnik, P., Bursać Kovačević, D., Režek-Jambrak, A., and Tomasevic, I. (2019). Scientific Challenges in Performing Life-Cycle Assessment in the Food Supply Chain. Foods, 8.10.3390/foods8080301 ↗
5. Impact of Novel Nonthermal Processing on Food Quality: Sustainability, Modelling, and Negative Aspects
6. Energy efficiency technologies for sustainable food processing10.1007/s12053-014-9256-8 ↗
7. Consensus measurement in Delphi studies. Review and implications for future quality assurance10.1016/j.techfore.2012.04.013 ↗
8. Using problem-oriented monitoring to simultaneously improve productivity and environmental performance in manufacturing companies10.1080/0951192X.2018.1552796 ↗
9. FAO (2020, January 1–4). E FAO Regional Conference for Asia and the Pacific Bytes to Sustain Our Bites: Leveraging Digital Agriculture For Sustainable Development Goals (SDGs). Proceedings of the FAO Regional Conference for Asia and the Pacific, APRC/20/9, Thimphu, Bhutan.
10. Ras, E., Wild, F., Stahl, C., and Baudet, A. (2017, January 21–23). Bridging the skills gap of workers in industry 4.0 by human performance augmentation tools—Challenges and roadmap. Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, Island of Rhodes, Greece.10.1145/3056540.3076192 ↗
11. A literature-based review on potentials and constraints in the implementation of the sustainable development goals10.1016/j.jclepro.2018.07.102 ↗
12. ISO (2006). ISO 14040:2006 Environmental Management—Life Cycleassessment—Principles and Framework, ISO. Technical Committee: ISO/TC 207/SC 5 Life Cycle Assessment: ICS: 13.020.10 Environmental Management 13.020.60 Product Life-Cycles.
13. Big data for agri-food 4.0: Application to sustainability management for by-products supply chain10.1016/j.compind.2019.06.006 ↗
14. Latino, M.E., Corallo, A., and Menegoli, M. (2018). From Industry 4.0 to Agriculture 4.0: How Manage Product Data in Agri-Food Supply Chain for Voluntary Traceability, A Framework Proposed. Innovators Network of Innovative Entities View Project KHIRA-Knowledge Based Holistic Integrated Research Approach View Project, World Academy of Science, Engineering and Technology.
15. Zambon, I., Cecchini, M., Egidi, G., Saporito, M.G., and Colantoni, A. (2019). Revolution 4.0: Industry vs. Agriculture in a Future Development for SMEs. Processes, 7.10.3390/pr7010036 ↗
16. Chemat, F., Rombaut, N., Meullemiestre, A., Turk, M., Perino, S., Fabiano-Tixier, A.-S., and Abert-Vian, M. (2017). Review of Green Food Processing techniques. Preservation, transformation, and extraction. Innov. Food Sci. Emerg. Technol.10.1016/j.ifset.2017.04.016 ↗
17. (2020, December 15). Artificial Intelligence: A Modern Approach: Russell, Stuart, Norvig, Peter: 8601419506989. Available online: Amazon.com.
18. A critical review on computer vision and artificial intelligence in food industry
19. Di Vaio, A., Boccia, F., Landriani, L., and Palladino, R. (2020). Artificial intelligence in the agri-food system: Rethinking sustainable business models in the COVID-19 scenario. Sustainability, 12.10.3390/su12124851 ↗
20. Misra, N.N., Dixit, Y., Al-Mallahi, A., Bhullar, M.S., Upadhyay, R., and Martynenko, A. (2020). IoT, big data and artificial intelligence in agriculture and food industry. IEEE Internet Things J.
21. The usefulness of artificial intelligence techniques to assess subjective quality of products in the food industry10.1016/S0924-2244(02)00010-9 ↗
22. A Review: Artificial Neural Networks as Tool for Control Food Industry Process10.4236/jst.2015.51004 ↗
23. Garcia-Esteban, J.A., Curto, B., Moreno, V., Gonzalez-Martin, I., Revilla, I., and Vivar-Quintana, A. (2018, January 18–20). A digitalization strategy for quality control in food industry based on Artificial Intelligence techniques. Proceedings of the IEEE 16th International Conference on Industrial Informatics, INDIN 2018, Porto, Portugal.10.1109/INDIN.2018.8471994 ↗
24. Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides
25. Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering10.1016/j.mec.2020.e00149 ↗
26. Prospects of robotics in food industry10.1590/1678-457x.14616 ↗
27. The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems10.1016/j.copbio.2020.09.003 ↗
28. Artificial intelligence application for classification and selection of fish gelatin packaging film produced with incorporation of palm oil and plant essential oils10.1016/j.fpsl.2020.100611 ↗
29. Naranjo-Torres, J., Mora, M., Hernández-García, R., Barrientos, R.J., Fredes, C., and Valenzuela, A. (2020). A Review of Convolutional Neural Network Applied to Fruit Image Processing. Appl. Sci., 10.10.3390/app10103443 ↗
30. Real-world production scheduling for the food industry: An integrated approach10.1016/j.engappai.2011.05.002 ↗
31. Design of an artificial intelligence system for predicting success of new product development and selecting proper market-product strategy in the food industry10.22434/IFAMR2017.0033 ↗
32. Grumezescu, A., and Holban, A.M. (2019). Engineering Tools in the Beverage Industry, Woodhead Publishing.
33. IoT Solutions for Precision Farming and Food Manufacturing: Artificial Intelligence Applications in Digital Food10.1109/COMPSAC.2017.157 ↗
34. Why Artificial Intelligence is important for ethnic foods?10.1016/j.jef.2018.05.001 ↗
35. A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements10.1016/j.cie.2018.11.030 ↗
36. Preparing for industry 4.0: Digital business model innovation in the food and beverage industry
37. Gebhardt, A. (2011). Understanding Additive Manufacturing, Carl Hanser Verlag GmbH & Co. KG.10.3139/9783446431621.fm ↗
38. Additive manufacturing and its societal impact: A literature review10.1007/s00170-012-4558-5 ↗
39. Khanpara, P., and Tanwar, S. (2020). Additive Manufacturing: Concepts and Technologies, Springer.10.1007/978-3-030-14544-6_10 ↗
40. 3D printing: Printing precision and application in food sector10.1016/j.tifs.2017.08.018 ↗
41. Baiano, A. (2020). 3D Printed Foods: A Comprehensive Review on Technologies, Nutritional Value, Safety, Consumer Attitude, Regulatory Framework, and Economic and Sustainability Issues. Food Rev. Int., 1–31.10.1080/87559129.2020.1762091 ↗
42. Extrusion-based 3D printing of food pastes: Correlating rheological properties with printing behaviour10.1016/j.ifset.2019.102214 ↗
43. Understanding the structure and rheological properties of potato starch induced by hot-extrusion 3D printing10.1016/j.foodhyd.2020.105812 ↗
44. Pediatric-friendly chocolate-based dosage forms for the oral administration of both hydrophilic and lipophilic drugs fabricated with extrusion-based 3D printing10.1016/j.ejps.2020.105291 ↗
45. A pickering emulsion stabilized by chlorella microalgae as an eco-friendly extrusion-based 3D printing ink processable under ambient conditions10.1016/j.jcis.2020.08.007 ↗
46. Effect of rheological properties of potato, rice and corn starches on their hot-extrusion 3D printing behaviors10.1016/j.jfoodeng.2018.09.011 ↗
47. A Review on 3D Printing for Customized Food Fabrication10.1016/j.promfg.2015.09.057 ↗
48. Recent advances and future perspective in additive manufacturing of foods based on 3D printing10.1016/j.cofs.2020.01.009 ↗
49. Environmental Impact of Additive Manufacturing Processes: Does AM Contribute to a More Sustainable Way of Part Manufacturing?10.1016/j.procir.2016.11.153 ↗
50. A methodological framework for the inclusion of modern additive manufacturing into the production portfolio of a focused factory10.1016/j.jmsy.2014.07.014 ↗
51. Sustainability of additive manufacturing: An overview on its energy demand and environmental impact
52. (2020, December 15). Upprinting Food—Sustainable 3D Food Printing. Available online: https://www.upprintingfood.com/.
53. The Role of Additive Manufacturing in the Era of Industry 4.010.1016/j.promfg.2017.07.148 ↗
54. Technology for Sustainable Urban Food Ecosystems in the Developing World: Strengthening the Nexus of Food–Water–Energy–Nutrition10.3389/fsufs.2018.00084 ↗
55. Industry 4.0: A way from mass customization to mass personalization production10.1007/s40436-017-0204-7 ↗
56. How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 Perspective
57. A formal definition of Big Data based on its essential features10.1108/LR-06-2015-0061 ↗
58. Three Pillars of Novel Nonthermal Food Technologies: Food Safety, Quality, and Environment
59. Assessing Industry 4.0 readiness in manufacturing: Evidence for the European Union10.1016/j.compind.2019.01.007 ↗
60. Towards smart factory for industry 4.0: A self-organized multi-agent system with big data based feedback and coordination10.1016/j.comnet.2015.12.017 ↗
61. Cross-European initial survey on the use of mathematical models in food industry10.1016/j.jfoodeng.2019.06.007 ↗
62. Model to evaluate the Industry 4.0 readiness degree in Industrial Companies10.1016/j.ifacol.2019.11.464 ↗
63. IoT-enabled smart appliances under industry 4.0: A case study10.1016/j.aei.2020.101043 ↗
64. Smart Sensors from Ground to Cloud and Web Intelligence10.1016/j.ifacol.2018.08.057 ↗
65. Oliveira, T., and Morais, S. (2018). New Generation of Electrochemical Sensors Based on Multi-Walled Carbon Nanotubes. Appl. Sci., 8.10.3390/app8101925 ↗
66. Krzysztof ROMAN, K., Borek, K., Mazur, K., and Jan WARDAL, W. (2020). The measurements of PM 2.5 dust concentration by using an inte-grated optical sensor. Branch Warsaw.10.15199/48.2020.04.27 ↗
67. Koyun, A., Ahlatcolu, E., and Koca, Y. (2012). Biosensors and Their Principles. A Roadmap of Biomedical Engineers and Milestones, InTech.10.5772/48824 ↗
68. Advances in biosensors: Principle, architecture and applications10.1016/j.jab.2013.02.001 ↗
69. Smart, A., Crew, A., Doran, O., and Hart, J.P. (2020). Studies Towards the Development of a Novel, Screen-Printed Carbon-Based, Biosensor for the Measurement of Polyunsaturated Fatty Acids. Appl. Sci., 10.10.3390/app10217779 ↗
70. Nikoleli, G.-P., Siontorou, C.G., Nikolelis, M.-T., Bratakou, S., and Bendos, D.K. (2019). Recent Lipid Membrane-Based Biosensing Platforms. Appl. Sci., 9.10.3390/app9091745 ↗
71. Highly sensitive amperometric enzyme biosensor for detection of superoxide based on conducting polymer/CNT modified electrodes and superoxide dismutase10.1016/j.snb.2016.06.032 ↗
72. A novel enzyme based biosensor for catechol detection in water samples using artificial neural network10.1016/j.bej.2017.09.005 ↗
73. Recent advances in electrochemical biosensors for antioxidant analysis in foodstuff10.1016/j.trac.2019.115718 ↗
74. Polyphenol biosensor based on laccase immobilized onto silver nanoparticles/multiwalled carbon nanotube/polyaniline gold electrode10.1016/j.ab.2011.07.028 ↗
75. Amperometric biosensor based on a high resolution photopolymer deposited onto a screen-printed electrode for phenolic compounds monitoring in tea infusions10.1016/j.talanta.2010.03.017 ↗
76. An amperometric biosensor for polyphenolic compounds in red wine10.1016/j.bios.2004.05.013 ↗
77. A smart farming concept based on smart embedded electronics, internet of things and wireless sensor network10.1016/j.iot.2020.100161 ↗
78. Assessments on the impact of high-resolution-sensor pixel sizes for common agricultural policy and smart farming services in European regions10.1016/j.compag.2019.105205 ↗
79. Equipping smart coasts with marine water quality IoT sensors10.1016/j.rineng.2019.100087 ↗
80. A low cost smart system to analyze different types of edible Bird’s nest adulteration based on colorimetric sensor array10.1016/j.jfda.2019.06.004 ↗
81. Electroanalytical tools for antioxidant evaluation of red fruits dry extracts10.1016/j.foodchem.2016.08.082 ↗
82. Beshai, H., Sarabha, G., Rathi, P., Alam, A., and Deen, M. (2020). Freshness Monitoring of Packaged Vegetables. Appl. Sci., 10.10.3390/app10217937 ↗
83. Langmann, R., and Stiller, M. (2019). The PLC as a Smart Service in Industry 4.0 Production Systems. Appl. Sci., 9.10.3390/app9183815 ↗
84. Literature review of Industry 4.0 and related technologies10.1007/s10845-018-1433-8 ↗
85. Industry 4.0: State of the art and future trends10.1080/00207543.2018.1444806 ↗
86. Salah, B., Abidi, M.H., Mian, S.H., Krid, M., Alkhalefah, H., and Abdo, A. (2019). Virtual reality-based engineering education to enhance manufacturing sustainability in industry 4.0. Sustainability, 11.10.3390/su11051477 ↗
87. What drives the implementation of Industry 4.0. The role of opportunities and challenges in the context of sustainability10.3390/su10010247 ↗
88. Opportunities of sustainable manufacturing in industry 4.010.1016/j.procir.2016.01.129 ↗
89. Sensing, smart and sustainable technologies for Agri-Food 4.010.1016/j.compind.2019.02.002 ↗
90. FAO (2015). FAO and the 17 Sustainable Development Goals, The Food and Agriculture Organization of the United Nations.
91. Industry 4.0 technologies assessment: A sustainability perspective10.1016/j.ijpe.2020.107776 ↗
92. Industry 4.0: A survey on technologies, applications and open research issues
93. Leal Filho, W., Azul, A.M., Brandli, L., Özuyar, P.G., and Wall, T. (2020). Role of Sustainable Quality in the Food Chain. Zero Hunger, Springer International Publishing.10.1007/978-3-319-95675-6 ↗
94. Leal Filho, W., Azul, A.M., Brandli, L., Lange Salvia, A., and Wall, T. (2020). Role of Potable Water in Food Processing. Clean Water and Sanitation, Springer International Publishing.10.1007/978-3-319-70061-8 ↗
95. Main environmental impacts associated with production and consumption of milk and yogurt in Serbia—Monte Carlo approach10.1016/j.scitotenv.2019.133917 ↗
96. Sustainable development goals for people and planet10.1038/495305a ↗
97. The fourth industrial revolution (Industry 4.0): A social innovation perspective10.22215/timreview/1117 ↗
98. The expected contribution of Industry 4.0 technologies for industrial performance10.1016/j.ijpe.2018.08.019 ↗
99. Industry 4.0: The future of productivity and growth in manufacturing industries
100. A review of methodological issues affecting LCA of novel food products10.1007/s11367-009-0130-4 ↗