Bibliometric review of transcriptomic microalgae-based biodegradation of lubricant oil waste hydrocarbon: Current research outlook
Year: 2025
Type: article
Abstract: Microalgae biotechnology has gained attention as an eco-friendly and cost-effective green technology for mitigating the detrimental effects of lubricant oil waste (LOW) pollutants, yet there is a dearth of report on their transcriptomic studies. Therefore, this report using bibliometric approach reviewed the research activities and trends on transcriptomic microalgae-based biodegradation of lubricant oil waste. The Dimensions-based exported bibliographic data were analyzed using VOS viewer in terms of document types, publications, subject categories, sources, countries, authors, organisations, and cited articles. The results obtained showed significant growth (73.74 %) in published articles from 2019 to 2024 in this research area. China (170 publications) is the leading contributor and the most prolific country publishing the highest number of articles in this research area. Biological Science, Algal Research, and Chinese Academy of Sciences were the most productive subject category, journal, and organisation, respectively in this research area. Moreover, this review reveals there is still a significant research gap on transcriptomic microalgae-based biodegradation. Finally, the review underscores the critical need for collaborative transcriptomic biodegradation especially in Africa to improve microalgae's biodegradation capabilities and utilization towards environmental sustainability. • Bibliometric review on transcriptomic microalgae-based biodegradation of LOW. • Transcriptomic microalgae-based biodegradation of LOW has over 403 publications. • Research publication outputs increase significantly by 73.74 % from 2019 to 2024. • China contributed the most to transcriptomic microalgae-based biodegradation research. • Africa has the least research output on transcriptomic microalgae-based biodegradation.
Source: Bioresource Technology Reports
Institution: University of KwaZulu-Natal
Language: English
Subfield: Pollution
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,920
OpenAlex ID: W4407821074
