Medical laboratory wastewaters arising from diagnosis and examination units show highly toxic characteristic. Within the scope of the study, removal of the wastewater's toxicity and increasing BOD /COD ratio of the medical laboratory wastewaters through electro-Fenton (EF) process were investigated. In the study, central composite design was applied to optimize the process parameters of EF for COD, BOD , and toxicity unit (TU) removal. Based on ANOVA, H O /COD was found to be significant parameter for COD removal, whereas current, reaction time, and H O /COD were determined to be significant parameters for BOD and TU removal. Optimum conditions (pH value of 3.4, current 3 A, reaction time 33.9 min, and H O /COD of 1.29) were determined, and predicted removals of COD, BOD and TU were found to be 55.1%, 42.5%, and 99.7% and experimental removals were found to be 53.4%, 41.2%, and 99.5%, respectively. TU value of the wastewater decreased from the value of 163-0.815, and BOD /COD value increased from the value of 0.32-0.39. The results of the study indicate that EF process is an effective treatment option for COD, BOD and especially toxicity removal from medical laboratory wastewater. PRACTITIONER POINTS: Electro-Fenton process was applied medical laboratory wastewater with highly toxic characteristic. Response surface methodology approach using central composite design was employed for modeling. 53.4%, 41.2%, and 99.5% of COD, BOD and toxicity removals were achieved under statistically optimized conditions. TU value of the wastewater decreased from the value of 163-0.815. BOD /COD value increased from the value of 0.32-0.39.

Download full-text PDF

Source
http://dx.doi.org/10.1002/wer.1433DOI Listing

Publication Analysis

Top Keywords

medical laboratory
20
cod bod
16
laboratory wastewater
12
electro-fenton process
12
central composite
12
composite design
12
bod /cod
12
bod toxicity
12
laboratory wastewaters
8
highly toxic
8

Similar Publications

This study intents to detect graphical network features associated with seizure relapse following antiseizure medication (ASM) withdrawal. Twenty-four patients remaining seizure-free (SF-group) and 22 experiencing seizure relapse (SR-group) following ASM withdrawal as well as 46 matched healthy participants (Control) were included. Individualized morphological similarity network was constructed using T1-weighted images, and graphic metrics were compared between groups.

View Article and Find Full Text PDF

Background: Predicting response to targeted cancer therapies increasingly relies on both simple and complex genetic biomarkers. Comprehensive genomic profiling using high-throughput assays must be evaluated for reproducibility and accuracy compared with existing methods.

Methods: This study is a multicenter evaluation of the Oncomine™ Comprehensive Assay Plus (OCA Plus) Pan-Cancer Research Panel for comprehensive genomic profiling of solid tumors.

View Article and Find Full Text PDF

Gymnostachyum febrifugum, a less-known ethnomedicinal plant from the Western Ghats of India, is used to treat various diseases and serves as an antioxidant and antibacterial herb. The present study aims to profile the cytotoxic phytochemicals in G. febrifugum roots using GC-MS/MS, in vitro confirmation of cytotoxic potential against breast cancer and an in silico study to understand the mechanism of action.

View Article and Find Full Text PDF

Background: To investigate the effectiveness of different bariatric metabolic surgeries in improving metabolic syndrome indicators in patients.

Methods: A retrospective analysis was conducted on obese patients who underwent laparoscopic sleeve gastrectomy (LSG), laparoscopic sleeve gastrectomy + jejunojejunal bypass (LSG + JJB), and laparoscopic Roux-en-Y gastric bypass (LRYGB). Patients were categorized into groups based on their surgical procedure: LSG (N = 199), LSG + JJB (N = 242), and LRYGB (N = 288).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!