Unlabelled: This comprehensive study addressed the occurrence, seasonal changes, removal efficiencies, and environmental risk assessments of three macrolide antibiotics in five wastewater treatment plants (WWTPs) with conventional and different additional treatment processes. A 1-year monitoring study was conducted, and influents and effluents were collected from Guangzhou (GZ), Shenzhen (SZ), Tai Po (TP), Shatin (ST), and Stonecutters Island (SI) WWTPs. Solid phase extraction and HPLC-MS/MS were used for the pretreatment and determination. The detection limits for azithromycin (AZI), erythromycin (ERY), and roxithromycin (ROX) ranged from 0.80 to 2.13 ng/L for the influent and effluent water samples. AZI was the most abundant antibiotic found in the influents, with average concentrations ranging from 571 ng/L to 1046 ng/L at all the target WWTPs. The seasonal average AZI concentration was the highest in all five WWTPs with the concentration of 984 ng/L in autumn, 849 ng/L in winter, 741 ng/L in summer, and 533 ng/L in spring. The seasonal AZI removal rates in the WWTPs were similar, with an average removal rate above 63.3% from spring to winter. All the treatments in the five WWTPs showed removal abilities for AZI, ERY, and ROX, regardless of the three phase treatments, namely, the UV disinfection process and conventional or chemically enhanced process within the WWTPs. For ERY and ROX, the average total removal rates were significantly decreased in the spring among all five WWTPs, at 53.1% and 57.8%, respectively. The GZ and SZ WWTPs displayed better removal rates than the TP, ST, and SI WWTPs, because the activity underlying the modified A2/O process in the GZ and SZ WWTPs has important effects on the antibiotic removal because the bacteria could produce compact granules and make the antibiotics settle faster in the wastewater. The additional UV disinfection in the SZ WWTP improved the removal efficiencies of the target antibiotics; it enhanced the biodegradability of residual organic pollutants in the WWTP effluent. Moreover, the corresponding environmental risks have been assessed and are viewed as a necessary component of future research.
Supplementary Information: The online version contains supplementary material available at 10.1007/s11270-021-05053-y.
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http://dx.doi.org/10.1007/s11270-021-05053-y | DOI Listing |
Am J Sports Med
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Midwest Orthopaedics at Rush University Medical Center, Chicago, Illinois, USA.
Background: Mismatch between osteochondral allograft (OCA) donor and recipient sex has been shown to negatively affect outcomes. This study accounts for additional donor variables and clinically relevant outcomes.
Purpose: To evaluate whether donor sex, age, donor-recipient sex mismatch, and duration of graft storage affect clinical outcomes and failure rates after knee OCA transplantation.
J Environ Manage
January 2025
Tianjin Key Laboratory of Environmental Technology for Complex Trans-Media Pollution, College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China. Electronic address:
Coal gasification slag (CGS) is a challenging solid waste due to the presence of highly toxic heavy metals, which pose significant risks to environmental and human health. CGS cannot be freely reused or disposed of, creating considerable obstacles to solid waste resource utilization. This study presents a novel method for heavy metal removal from CGS through a separation-oxidation-acid washing (SOA) process, which effectively recycles residual carbon (RC) while minimizing the risk of heavy metal leakage.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China; Key Laboratory of Environmental Engineering, Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China.
A self-driven electrochemical system (SDES) was utilized to treat anaerobic digestate wastewater, aiming to achieve wastewater resource utilization and energy generation. The efficiencies of pollutant removal, resource recovery, and energy production were enhanced by adjusting device parameters (anode area, external resistance, and electrode spacing). The high pollutant removal rates and struvite purity were achieved with the magnesium anode area of 15 cm, external resistance of 10 Ω, and electrode spacing of 10 cm.
View Article and Find Full Text PDFACS Nano
January 2025
Shanghai Frontiers Science Center of Drug Target Identification and Delivery, School of Pharmaceutical Sciences, Shanghai Jiao Tong University, Shanghai 200240, China.
Glioblastoma multiforme (GBM), particularly the deep-seated tumor where surgical removal is not feasible, poses great challenges for clinical treatments due to complicated biological barriers and the risk of damaging healthy brain tissue. Here, we hierarchically engineer a self-adaptive nanoplatform (SAN) that overcomes delivery barriers by dynamically adjusting its structure, surface charge, particle size, and targeting moieties to precisely distinguish between tumor and parenchyma cells. We further devise a AN-uided ntuitive and recision ntervention (SGIPi) strategy which obviates the need for sophisticated facilities, skilled operations, and real-time magnetic resonance imaging (MRI) guidance required by current MRI-guided laser or ultrasound interventions.
View Article and Find Full Text PDFOral Surg Oral Med Oral Pathol Oral Radiol
October 2024
Department of Oral and Maxillofacial Surgery, The Baruch Padeh "Tzafon" Medical Center, Poriya, Israel; Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel.
Objective: To evaluate the efficacy and safety of transoral surgical management for complex submandibular gland (SMG) stones.
Study Design: A retrospective cohort study of 240 patients treated for sialolithiasis between 2015 and 2018, focusing on 57 cases of SMG stones that underwent stone removal procedures. Treatment methods, success rates, and complications were analyzed using Kaplan-Meier analysis, Cox proportional hazards regression, and multiple logistic regression.
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