Bio-based matrix photocatalysts for photodegradation of antibiotics

Nidia Maldonado-Carmona1, Giusi Piccirillo2, Jérémy Godard3

  • 1Centre National de la Recherche Scientifique, Laboratoire Jean Perrin, Sorbonne Université, Paris, France. nidia.maldonado_carmona@sorbonne-universite.fr.

Insights

Antibiotic resistance is a growing threat. This review highlights advances in light-driven antibiotic degradation using semiconductor photocatalysts, biochar, biopolymers, and organic photocatalysts for cleaner water.

Area of Science:

  • Environmental Science
  • Materials Science
  • Photochemistry

Background:

  • Antimicrobial resistance (AMR) is a global threat driven by widespread antibiotic misuse.
  • Contamination of water sources with antibiotics necessitates effective decontamination strategies.
  • The One Health concept underscores the interconnectedness of human, animal, and environmental health.

Purpose of the Study:

  • To review recent advances (last 5 years) in light-driven antibiotic photodegradation.
  • To explore the use of bio-based materials and novel photocatalysts for antibiotic removal.
  • To analyze the effectiveness of various systems under different conditions.

Main Methods:

  • Conjugation of semiconductor photocatalysts with organic scaffolds (biochar, biopolymers).
  • Development of hybrid systems, including those based on graphitic carbon nitride (g-C3N4).
  • Investigation of emerging organic photocatalysts for antibiotic degradation.

Main Results:

  • Bio-based materials enhance semiconductor photocatalyst properties for improved efficiency.
  • Hybrid systems and organic photocatalysts show promise for antibiotic photodegradation.
  • Synergistic effects between materials and conditions significantly impact degradation rates.

Conclusions:

  • Photocatalytic degradation offers a promising approach for removing antibiotics from water.
  • Integration of bio-based materials and advanced photocatalysts is crucial for efficient decontamination.
  • Continued research is needed to optimize these systems for real-world applications.