Degradation of tetracyclines via calcium peroxide activation by ultrasonic: Roles of reactive species, oxidation mechanism and toxicity evaluation

Xu, Zujun; Sun, Shaofang; Gao, Mingchang; Zheng, Ruibin; Mu, Haotian; Qiu, Liping

doi:10.1016/j.chemosphere.2023.139033

Cited by 3 publications

(1 citation statement)

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“…A thorough comparison between our proposed approach and existing methods in sludge treatment reveals the distinctive attributes that make our study significant. While chemical applications and mechanical decomposition methods require the addition of costly agents or substantial mechanical energy, ultrasonic waves operate as a nonintrusive and energy-efficient alternative [41]. Thermal pretreatment, often characterized by high energy consumption, is replaced by our ultrasonic method that achieves comparable or even superior results [42].…”

Section: Introductionmentioning

confidence: 99%

An Application of Ultrasonic Waves in the Pretreatment of Biological Sludge in Urban Sewage and Proposing an Artificial Neural Network Predictive Model of Concentration

El Jery,

Kosarirad,

Taheri

et al. 2023

Sustainability

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This research examines whether ultrasonic waves can enhance the hydrolysis, stability, and dewatering of activated sludge from raw urban wastewater. Sampling and physical examination of the activated sludge that was returned to the aeration pond were carried out using ultrasonic waves that were guided at frequencies of 30 and 50 kHz for periods of 0.5, 1, 3, 5, 10, 15, and 30 min. Various tests, including volatile suspended solids, inorganic solids, volatile solids, sludge resistant time, capillary suction time, total suspended solids, total solids, and volatile soluble solids, were carried out to advance further the processes of hydrolysis, stabilization, and dehydration of samples. According to the observations, the volatile soluble solids at a frequency of 30 kHz and t=15 min were raised by 72%. The capillary suction time of 30 and 50 kHz in 1 min demonstrated a drop of 29 and 22%, respectively. It is crucial to consider that, at 10 min and the frequency of 50 kHz, the greatest efficiency was found. The 30 kHz and 1 min yielded the optimum sludge dewatering conditions. Finally, artificial neural networks (ANN) are utilized to propose predictive models for concentration, and the results were also very accurate (MAE=1.37%). Regarding the computational costs, the ANN took approximately 5% of the time spent on experiments.

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Section: Introductionmentioning

confidence: 99%