Chapter 7 Data-driven approaches for aligning nanopackaging innovations with Sustainable Development Goals (SDGs)
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Jyotsna Sharma
Abstract
Nanotechnology is rapidly revolutionizing the packaging industry by introducing various advanced materials and smart functionalities that help in enhancing product safety, longevity, and sustainability. This chapter explores the intersection of nanotech-enabled packaging and the United Nations Sustainable Development Goals, highlighting the urgent need to align technological innovations with global sustainability objectives. While nanomaterials promise breakthroughs in biodegradability, antimicrobial activity, waste reduction, and environmental remediation, their deployment must be guided by ethical frameworks and ecological considerations. We will delve into how data-driven technologies – including artificial intelligence, Internet of Things, and machine learning – serve as powerful tools in this alignment process. These tools support life cycle assessments (LCAs), optimize material selection, improve efficiency, predict environmental impacts, and foster traceability across the supply chain – making nanotech-enabled packaging both scalable and sustainable. This convergence of nanotechnology and intelligent systems not only accelerates innovation but also reinforces circular economy principles and transparency.
The chapter also presents a critical analysis of the opportunities and risks associated with the widespread adoption of nanotech in packaging. Issues such as data privacy, nanotoxicity, and regulatory ambiguity are examined alongside the benefits of efficiency, safety, and SDGs compliance. Ultimately, the goal is to present a balanced roadmap that ensures innovation progresses responsibly and sustainably in the packaging sector.
Abstract
Nanotechnology is rapidly revolutionizing the packaging industry by introducing various advanced materials and smart functionalities that help in enhancing product safety, longevity, and sustainability. This chapter explores the intersection of nanotech-enabled packaging and the United Nations Sustainable Development Goals, highlighting the urgent need to align technological innovations with global sustainability objectives. While nanomaterials promise breakthroughs in biodegradability, antimicrobial activity, waste reduction, and environmental remediation, their deployment must be guided by ethical frameworks and ecological considerations. We will delve into how data-driven technologies – including artificial intelligence, Internet of Things, and machine learning – serve as powerful tools in this alignment process. These tools support life cycle assessments (LCAs), optimize material selection, improve efficiency, predict environmental impacts, and foster traceability across the supply chain – making nanotech-enabled packaging both scalable and sustainable. This convergence of nanotechnology and intelligent systems not only accelerates innovation but also reinforces circular economy principles and transparency.
The chapter also presents a critical analysis of the opportunities and risks associated with the widespread adoption of nanotech in packaging. Issues such as data privacy, nanotoxicity, and regulatory ambiguity are examined alongside the benefits of efficiency, safety, and SDGs compliance. Ultimately, the goal is to present a balanced roadmap that ensures innovation progresses responsibly and sustainably in the packaging sector.
Kapitel in diesem Buch
- Frontmatter I
- About the series V
- Contents VII
- List of contributing authors IX
- Chapter 1 Introduction to green chemistry and sustainable materials 1
- Chapter 2 Methods for synthesizing green materials 21
- Chapter 3 The role of solvents and catalysts in green chemistry 55
- Chapter 4 Overview of biopolymers for sustainable environment 97
- Chapter 5 Integrated technologies for environmental remediation by using green materials 117
- Chapter 6 Plastic waste management: a sustainable practice for green future 145
- Chapter 7 Data-driven approaches for aligning nanopackaging innovations with Sustainable Development Goals (SDGs) 167
- Chapter 8 Value-added materials: Solar energy applications 203
- Chapter 9 Case studies demonstrating sustainable development for green chemistry approaches 219
- Chapter 10 Latest technologies and future perspectives in green materials 257
- Chapter 11 Greener approach for next generation materials: Biofuel, biorefinery 283
- Chapter 12 Utilization of fly ash for a sustainable environment: Innovations in waste management, construction, and renewable energy applications 299
- Chapter 13 Environmental risk assessment of green material: A circular economy approach 321
- Chapter 14 A framework for analyzing growth, competition, and environmental impacts: A forest population dynamics through modelling 345
- Index
- De Gruyter Series in Green Chemical Processing
Kapitel in diesem Buch
- Frontmatter I
- About the series V
- Contents VII
- List of contributing authors IX
- Chapter 1 Introduction to green chemistry and sustainable materials 1
- Chapter 2 Methods for synthesizing green materials 21
- Chapter 3 The role of solvents and catalysts in green chemistry 55
- Chapter 4 Overview of biopolymers for sustainable environment 97
- Chapter 5 Integrated technologies for environmental remediation by using green materials 117
- Chapter 6 Plastic waste management: a sustainable practice for green future 145
- Chapter 7 Data-driven approaches for aligning nanopackaging innovations with Sustainable Development Goals (SDGs) 167
- Chapter 8 Value-added materials: Solar energy applications 203
- Chapter 9 Case studies demonstrating sustainable development for green chemistry approaches 219
- Chapter 10 Latest technologies and future perspectives in green materials 257
- Chapter 11 Greener approach for next generation materials: Biofuel, biorefinery 283
- Chapter 12 Utilization of fly ash for a sustainable environment: Innovations in waste management, construction, and renewable energy applications 299
- Chapter 13 Environmental risk assessment of green material: A circular economy approach 321
- Chapter 14 A framework for analyzing growth, competition, and environmental impacts: A forest population dynamics through modelling 345
- Index
- De Gruyter Series in Green Chemical Processing
