A data mining approach to analyze the role of biomacromolecules-based nanocomposites in sustainable packaging

  • John Paul
  • , Jeeja Jacob
  • , Md Mahmud
  • , Mahesh Vaka
  • , Syam G. Krishnan
  • , A. Arifutzzaman
  • , Dignesh Thesiya
  • , Teng Xiong
  • , K. Kadirgama
  • , Jeyraj Selvaraj

Research output: Contribution to journalArticlepeer-review

Abstract

Recent decades have witnessed a surge in research interest in bio-nanocomposite-based packaging materials, but still, a lack of systematic analysis exists in this domain. Bio-based packaging materials pose a sustainable alternative to petroleum-based packaging materials. The current work employs bibliometric analysis to deliver a comprehensive outline on the role of bio nanocomposites in packaging. India, Iran, and China were revealed to be the top three nations actively engaged in this domain in total publications. Islamic Azad University in Iran and Universiti Putra Malaysia in Malaysia are among the world's best institutions in active research and publications in this field. The extensive collaboration between nations and institutions highlights the significance of a holistic approach towards bio-nanocomposite. The National Natural Science Foundation of China is the leading funding body in this field of research. Among authors, Jong whan Rhim secured the topmost citations (2234) in this domain (13 publications). Among journals, Carbohydrate Polymers secured the maximum citation count (4629) from 36 articles; the initial one was published in 2011. Bio nanocomposite is the most frequently used keyword. Researchers and policymakers focussing on sustainable packaging solutions will gain crucial insights on the current research status on packaging solutions using bio-nanocomposites from the conclusions.

Original languageEnglish
Article number130850
JournalInternational Journal of Biological Macromolecules
Volume265
DOIs
Publication statusPublished - Apr 2024

Keywords

  • Bibliometric analysis
  • Content analysis
  • Research gaps
  • Sustainable packaging
  • Text mining

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