TY - JOUR
T1 - Chitosan-based materials for emerging contaminants removal
T2 - Bibliometric analysis, research progress, and directions
AU - Liu, Chong
AU - Crini, Grégorio
AU - Lichtfouse, Eric
AU - Wilson, Lee D.
AU - Picos-Corrales, Lorenzo A.
AU - Balasubramanian, Paramasivan
AU - Li, Fayong
N1 - Publisher Copyright:
© 2025 Elsevier Ltd
PY - 2025/3
Y1 - 2025/3
N2 - Chitosan and its derivatives, as natural biopolymers, play a crucial role in various industries such as food, agriculture, paper, medicine, textiles, and biotechnology, as well as in environmental applications, including wastewater treatment. However, a comprehensive bibliometric analysis is lacking to evaluate the current status and research trends in removing contaminants from wastewater through chitosan. This study analyzed 9711 relevant papers published from 1993 to 2024 in the Web of Science database using CiteSpace and VOSviewer software. The findings reveal that Chitosan-based materials—initially investigated for removing metals, dyes, and pesticides—are increasingly explored for tackling emerging pollutants such as pharmaceuticals, personal care products (PPCPs), and per- and polyfluoroalkyl substances (PFAS), while research has also expanded to innovative domains including solar-driven water purification scaffolds and advanced composites (e.g., chitosan@graphene oxide, chitosan-based molecularly imprinted polymers, photocatalytic chitosan hybrids, chitosan/clay, and chitosan/metal sulfides). Machine learning methods have been introduced to improve chitosan-based water treatment processes, although progress lags behind that of commercial adsorbents like activated carbon and biochar. Large-scale adoption of chitosan-based technologies requires validation in complex real-world settings, enhancement of cost-effectiveness and regeneration efficiency and mitigation of environmental impacts during chitosan extraction and processing. Future efforts should focus on pilot-scale and field trials, refining chitosan-based materials for niche applications, and developing “smart materials” that respond dynamically to environmental stimuli, ultimately advancing chitosan-based solutions from laboratory-scale demonstrations to impactful, scalable innovations in global water treatment.
AB - Chitosan and its derivatives, as natural biopolymers, play a crucial role in various industries such as food, agriculture, paper, medicine, textiles, and biotechnology, as well as in environmental applications, including wastewater treatment. However, a comprehensive bibliometric analysis is lacking to evaluate the current status and research trends in removing contaminants from wastewater through chitosan. This study analyzed 9711 relevant papers published from 1993 to 2024 in the Web of Science database using CiteSpace and VOSviewer software. The findings reveal that Chitosan-based materials—initially investigated for removing metals, dyes, and pesticides—are increasingly explored for tackling emerging pollutants such as pharmaceuticals, personal care products (PPCPs), and per- and polyfluoroalkyl substances (PFAS), while research has also expanded to innovative domains including solar-driven water purification scaffolds and advanced composites (e.g., chitosan@graphene oxide, chitosan-based molecularly imprinted polymers, photocatalytic chitosan hybrids, chitosan/clay, and chitosan/metal sulfides). Machine learning methods have been introduced to improve chitosan-based water treatment processes, although progress lags behind that of commercial adsorbents like activated carbon and biochar. Large-scale adoption of chitosan-based technologies requires validation in complex real-world settings, enhancement of cost-effectiveness and regeneration efficiency and mitigation of environmental impacts during chitosan extraction and processing. Future efforts should focus on pilot-scale and field trials, refining chitosan-based materials for niche applications, and developing “smart materials” that respond dynamically to environmental stimuli, ultimately advancing chitosan-based solutions from laboratory-scale demonstrations to impactful, scalable innovations in global water treatment.
KW - Adsorbent
KW - Bibliometric study
KW - Chitosan
KW - Emerging contaminants
KW - Graphene oxide
KW - Machine learning
KW - Molecular imprinting
KW - Wastewater
KW - Water treatment
UR - https://www.scopus.com/pages/publications/85218902585
U2 - 10.1016/j.jwpe.2025.107327
DO - 10.1016/j.jwpe.2025.107327
M3 - 文献综述
AN - SCOPUS:85218902585
SN - 2214-7144
VL - 71
JO - Journal of Water Process Engineering
JF - Journal of Water Process Engineering
M1 - 107327
ER -