Preparation and application of laccase-immobilized magnetic biochar for effective degradation of endocrine disruptors: Efficiency and mechanistic analysis

International Journal of Biological Macromolecules, Год журнала: 2025, Номер 305, С. 141167 - 141167

Опубликована: Фев. 17, 2025

Язык: Английский

---

CeO2/NH2-MIL-88B(Fe) composites with peroxidase-like activity for colorimetric detection and photo-enzymatic synergetic degradation of ciprofloxacin hydrochloride

Journal of environmental chemical engineering, Год журнала: 2024, Номер 12(6), С. 114734 - 114734

Опубликована: Ноя. 8, 2024

Язык: Английский

---

Evaluation of Layered Structures Impregnated with Fe or Cu as Catalysts in a Fenton-like Process for the Removal of 17α-Ethinylestradiol in Aqueous Solution: Operational Parameters and Ecotoxicity

Water, Год журнала: 2025, Номер 17(7), С. 1043 - 1043

Опубликована: Апрель 2, 2025

Endocrine disruptors such as 17α-ethinylestradiol pose significant ecological risks in aquatic environments. This study assessed the catalytic performance of Fe- and Cu-impregnated delaminated clays (DCs) layered double hydroxides (LDHs) a Fenton-like process for EE2 removal. The effects key parameters—including hydrogen peroxide concentration, initial contaminant load, catalyst dosage—were analyzed using HPLC-QqTOF. Delaminated demonstrated higher removal efficiencies compared to (LDHs), reaching 55% with Fe 47% Cu, while LDHs achieved 40% 33% respectively. Ecotoxicity was evaluated bioassays (L. sativa, S. capricornutum, D. magna) Ames test. Notably, capricornutum exhibited 100% inhibition at highest tested IC50 values 11.2–12.4 Cu 31.5–32.7 Fe. L. sativa inhibited by Cu- Fe-impregnated LDH/DC, 71.0 (DC-Cu), 56.6 (DC-Fe), 58.6 (LDH-Fe). magna 17–75% mortality when exposed untreated EE2, LC50 confirmed Cu’s greater toxicity. test indicated no mutagenic effects. Integrating complementary techniques is recommended enhance efficiency. These findings highlight need optimize operational parameters effective 17α-ethinylestradiol.

Язык: Английский

---

Adsorption Capacity Prediction and Optimization of Electrospun Nanofiber Membranes for Estrogenic Hormone Removal Using Machine Learning Algorithms

Polymers for Advanced Technologies, Год журнала: 2024, Номер 35(11)

Опубликована: Ноя. 1, 2024

ABSTRACT This study focuses on developing four machine learning (ML) models (Gaussian process regression (GPR), support vector (SVM), decision tree (DT), and ensemble (ELT)) optimized hyperparameters tuned via genetic algorithm (GA) particle swarm optimization (PSO) to analyze predict the adsorption capacity of estrogenic hormones. These hormones are a serious cause fish femininity various forms cancer in humans. Their electrospun nanofibers offers sustainable relatively environmentally friendly solution compared nanoparticle adsorbents, which require secondary treatment. The intricate task is find relationship between input parameters obtain optimum conditions, requires an efficient ML model. GPR integrated GA hybrid model performed most accurate precise results with R 2 = 0.999 RMSE 2.4052e −06 , followed by ELT (0.9976 4.3458e −17 ), DT (0.9586 2.4673e −16 SVM (0.7110 0.0639). 2D 3D partial dependence plots showed temperature, dosage, initial concentration, contact time, pH as vital parameters. Additionally, Shapley's analysis further revealed time dosage sensitive Finally, user‐friendly graphical user interface (GUI) was developed predictor utilizing (GPR‐GA), were experimentally validated maximum error < 3.3% for all tests. Thus, GUI can legitimately work any desired material given conditions efficiently monitor removal concentration simultaneously at wastewater treatment plants.

Язык: Английский

---

Self-assembly of ZnO-Biochar/Kaolinite/Chitosan/GO with 1D/2D/3D heterojunctions for enhanced removal of estrogens and triclosan in water

BMC Chemistry, Год журнала: 2024, Номер 18(1)

Опубликована: Дек. 18, 2024

This Study focuses on the preparation of sustainable and efficient Chitosan catalyst for removal three organic pollutants, 17β-Estradiol (E2), 17α-ethynyl estradiol (EE2) triclosan (TCS) from water. The prepared nanocomposites were characterized by different techniques which confirmed presence key components Chitosan, Carica Papaya seed Kaolinite. optical characterization proved nanocomposite is photoactive with a band gap 1.81 eV 1.77 Chitosan/kaolinite biochar (CS/KBC) biochar/GO (CS/KBC/GO) respectively, confirming ability to be active in visible light region spectrum. degradation experiment using CS/KBC/GO was observed better 100% 5 mg/L E2 EE2 over 60 min 97.8% 120 10 TCS at optimum conditions (pH 3 E2, pH 7). It that superoxide radical played major role contaminants. Furthermore, four cycles without any decrease performance, rules out question deactivation proving sustainability catalyst. toxicity test shows water safe as it does not harm cerio daphnia silvestrii organism.; efficiently removed micropollutants real-life waste samples performance very good slight wastewater due complex matrix sample competes site.

Язык: Английский

---

Performance of tube-in-tube membrane microreactor in E2/EE2 degradation via UV/H2O2/TiO2 process

Desalination and Water Treatment, Год журнала: 2024, Номер unknown, С. 100852 - 100852

Опубликована: Окт. 1, 2024

Язык: Английский

---

Peracetic acid treatment for removing steroid hormones in a pilot-scale wastewater installation

Journal of Water Process Engineering, Год журнала: 2024, Номер 68, С. 106453 - 106453

Опубликована: Ноя. 6, 2024

Язык: Английский

---