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Bibliometric Mapping Using VOSviewer and Kinetic Modeling for Sustainable Bacterial Pigment Production

  • Salem Sami Salem*
  • , Shahad Meshal Alhadi
  • , Shaha Khaled Ahmed
  • , S. M.Zakir Hossain
  • , Maysoon Awadh
  • , Shaikh Abdur Razzak
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Bacterial pigments have been gaining interest in recent years as biologically derived alternatives to synthetic dyes because of their biological functions, importance, and possible industrial applications. This review combines bibliometric trends in VOSviewer with microbial growth rate models and bioprocess optimization to provide a comprehensive assessment of advances in bacterial pigments over recent years. The bibliographic trends between 2015 and 2025 reflect an increasing number of studies, led by China, along with international collaboration. The analysis reveals that the existing literature is largely concentrated on microbial characterization and pigment identification, whereas comparatively fewer studies address growth kinetics and systematic process optimization. Kinetic modeling consistently indicates that pigment formation is predominantly non-growth-associated and occurs mainly during the stationary phase, emphasizing the importance of optimization strategies focused on metabolic regulation rather than biomass maximization. Statistical optimization approaches, particularly response surface methodology following Plackett-Burman screening, have been widely applied and shown to significantly improve pigment yields at the laboratory scale. Overall, this review highlights the need to integrate bibliometric insights, kinetic understanding, and bioprocess optimization design to facilitate the scalable and sustainable production of bacterial pigments.

Original languageEnglish
Title of host publication2026 International Conference on Frontiers of Engineering and Emerging Technologies, FET 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798319518866
DOIs
StatePublished - 2026

Publication series

Name2026 International Conference on Frontiers of Engineering and Emerging Technologies, FET 2026

Bibliographical note

Publisher Copyright:
© 2026 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Bacterial pigments
  • Bioprocess engineering
  • Kinetic modeling
  • Statistical optimization
  • bibliometric mapping

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Energy Engineering and Power Technology
  • Civil and Structural Engineering
  • Artificial Intelligence

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