Solvothermal synthesis of 3D rod-shaped Ti/Al/Cr nano-oxide for photodegradation of wastewater micropollutants under sunlight: a green way to achieve SDG:6.
Arnab MukherjeePrasanta DhakDebpriya MandalDebasis DhakPublished in: Environmental science and pollution research international (2023)
Waterbodies are day-by-day polluted by the various colored micropollutants, e.g., azo dyes enriched (carcinogenic, non-biodegradable) colored wastewater from textile industries. Water pollution has become a serious global issue as ~ 25% of health diseases are prompted by pollution as reported by WHO. Around 1 billion people will face water scarcity by 2025 and this water crisis is also a prime focus to the UNs' sustainable development goal 6 (SDG6: clean water and sanitation). To prevent the water pollution caused by micropollutants, a mesoporous, 3D rod-like nano-oxide Ti/Al/Cr (abbreviated as TAC) has been synthesized via the solvothermal method. TAC degraded all classes of azo dyes (mono, di, tri, etc.) with > 90% efficiency under renewable energy source solar irradiation within the pH range 2-11. The detailed study was done on the photodegradation of carcinogenic di-azo dye Congo red (CR) which is banned in many countries. TAC showed 90.64 ± 2% degradation efficiency for CR at pH 7. The proposed photodegradation mechanism of CR was confirmed by the high-resolution liquid chromatography-mass spectroscopy (HRLC-MS) analysis obeying the Pirkanniemi path. The photodegradation obeyed the pseudo-1st-order kinetics and was reusable up to successive 5 cycles which can be an efficient tool to meet the UNs' SDG:6.
Keyphrases
- wastewater treatment
- heavy metals
- high resolution
- risk assessment
- mass spectrometry
- particulate matter
- public health
- human health
- liquid chromatography
- health risk assessment
- healthcare
- multiple sclerosis
- drug delivery
- mental health
- drinking water
- cystic fibrosis
- tandem mass spectrometry
- ms ms
- climate change
- pseudomonas aeruginosa
- single molecule
- high resolution mass spectrometry
- health information
- data analysis
- oxide nanoparticles