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Microbial carbon capture - evolving trends, interconnections, and recent spotlights of the past three decades

  • Longkai Qiao
  • , Wei Qiu
  • , Tejraj Aminabhavi
  • , Jie Han
  • Xi'an Jiaotong University
  • Guyiheng Technologies Ltd.
  • KLE Technological University
  • University of Petroleum and Energy Studies

Research output: Contribution to journalReview articlepeer-review

9 Scopus citations

Abstract

Greenhouse effects intensification has drawn increased interests in carbon capture with a fast-growing number of publications in this field. In this research, the automated keyword extraction, natural language processing, and data visualization techniques have been employed to conduct the first in-depth analysis of the keywords in publications in the field of carbon capture with a particular emphasis on microbial carbon capture. The keywords in 65,509 research articles and reviews from the Web of ScienceTM Core Collection spanning over the past three decades (1992–2022) were examined. Through keyword analysis, it was found that “microbial carbon capture and storage” was the most concentrated sub-domain of this research field. Furthermore, the keywords of 11,430 publications within this sub-domain were dwelled for the same period. By examining the keyword occurrences and temporal trends, three categories of keywords were identified such as (a) established trending-up keywords, (b) emerging trending-up keywords, and (c) trending-down keywords. Based on the most established and emerging trending-up keywords from this sub-domain in the past 5–15 years, including “biochar”, “biofuel”, “nitrogen addition”, “microbial necromass”, and “rhizosphere microbiome”, a brief literature review on research topics represented by these keywords and their co-occurring keywords were identified. Additionally, it was noticed that high occurrences of method-related keywords in publications within this sub-domain, with the most prominent ones being “gene sequencing”, “stable carbon isotopes”, and “meta-analysis”. It is suggested that researchers in this subfield may pay more attention to the application of these research methods in studies related to microbial carbon capture.

Original languageEnglish
Article number148970
JournalChemical Engineering Journal
Volume482
DOIs
StatePublished - 15 Feb 2024

UN SDGs

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

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Bibliometric analysis
  • Carbon capture and storage
  • Climate change
  • Natural language processing
  • Soil microorganism
  • Text mining

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