Assessment of the Correlation between Nano and Micro Analysis Studies and the Sustainable Development Goals

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Abstract The significance of Nano and Micro analysis becomes more evident when their contributions to the Sustainable Development Goals (SDGs) is manifested. The main work objective is to establish a robust assessment and correlation between the Nano/Micro analysis and the different SDGs. To achieve this objective, first, a comprehensive literature review was conducted to examine how Nano and Micro analysis studies align with the 17 SDGs by mapping various Nano and Micro analysis techniques, from a wide range of research to the 17 SDGs. Then, a circular diagram to provide an engaging graphical representation of the mapping results was developed. Second, a practical statistical analysis was conducted on an eighteen-month data set of recorded entries from a renowned Nano and Microtechnology Research Center in Cairo to seek an evidence of potential contribution of Nano and Micro analysis studies and tools to the 17 SDGs. The collected data were categorized and thoroughly mapped to the 17 SDGs. Findings of this research proved a good correlation between the different studied Nano/Micro analysis techniques and the SDGs. The SDGs of the highest correlation were: SDG06 clear water sanitation, SDG09 industry, innovation and infrastructure SDG12 responsible consumption, and SDG17 partnership for the goals. The most contributing fields of study in a descending order were healthcare and medicine, material science, environmental sustainability, energy, food and agriculture, electronics, and construction and civil engineering. Finally, a set of recommendations for future practical work, as well as recommendations to more profoundly promote the progress towards sustainability were provided.
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Assessment of the Correlation between Nano and Micro Analysis Studies and the Sustainable Development Goals | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Assessment of the Correlation between Nano and Micro Analysis Studies and the Sustainable Development Goals Ahmed A. Nour, Maram M. Saudy, Mohamed N. Abou-Zeid This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5200645/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The significance of Nano and Micro analysis becomes more evident when their contributions to the Sustainable Development Goals (SDGs) is manifested. The main work objective is to establish a robust assessment and correlation between the Nano/Micro analysis and the different SDGs. To achieve this objective, first, a comprehensive literature review was conducted to examine how Nano and Micro analysis studies align with the 17 SDGs by mapping various Nano and Micro analysis techniques, from a wide range of research to the 17 SDGs. Then, a circular diagram to provide an engaging graphical representation of the mapping results was developed. Second, a practical statistical analysis was conducted on an eighteen-month data set of recorded entries from a renowned Nano and Microtechnology Research Center in Cairo to seek an evidence of potential contribution of Nano and Micro analysis studies and tools to the 17 SDGs. The collected data were categorized and thoroughly mapped to the 17 SDGs. Findings of this research proved a good correlation between the different studied Nano/Micro analysis techniques and the SDGs. The SDGs of the highest correlation were: SDG06 clear water sanitation, SDG09 industry, innovation and infrastructure SDG12 responsible consumption, and SDG17 partnership for the goals. The most contributing fields of study in a descending order were healthcare and medicine, material science, environmental sustainability, energy, food and agriculture, electronics, and construction and civil engineering. Finally, a set of recommendations for future practical work, as well as recommendations to more profoundly promote the progress towards sustainability were provided. Earth and environmental sciences/Climate sciences Earth and environmental sciences/Environmental sciences Health sciences/Health care Physical sciences/Materials science Physical sciences/Nanoscience and technology Sustainable Development Goals Nano Analysis Micro Analysis Sustainability Nano technology Micro technology Nano materials Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5200645","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":369528820,"identity":"9a560a03-23a4-490a-ad94-2366c2bde7c3","order_by":0,"name":"Ahmed A. 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