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Increasing pharmaceutical consumption usage today has contributed to the rising frequency of occurrence and detectable concentration of pharmaceuticals in domestic sewage. Current sewage treatment technologies were not designed and, thus, will not thoroughly remove this pollutant, therefore discharged along with the effluent to the waterways, leading to potential ecological risk. The current study investigates the occurrence of various classes of pharmaceuticals (analgesic and anti-inflammatories, antibiotics, antifungals, antihistamines, antihypertensives, beta-blocker, lipid regulators and psychiatric drugs and antidepressants) in three different sewage treatment plants with varying catchments areas, denoted as STP 1 (mixed development), STP 2 (majority residential) and STP 3 (commercial residential) using liquid chromatography time-of-flight mass spectrometry (LC-TOF/MS). The consumption trend of each compound in each STP was evaluated based on their footprint in domestic wastewater and their ecotoxicology risk to the environment. Thirteen compounds were detected, while others were absent in either influent or effluent of the STPs. High pharmaceutical concentration is found dominantly in STP 1, which is expected due to socio-demographic residential factors. Ciprofloxacin was detected in all samples with the highest concentration at 965.89 ng/L in the influent and 2285.90 ng/L in the effluent, showing the possibility of being invulnerable to the treatment process. The second dominant compound is the antidepressant medicine of venlafaxine and citalopram, where high concentration was measured in all samples up to 325.49 ng/L and 607.96 ng/L in the influent and effluent, respectively. The current detected concentration found is consistent and within the range of reported values around the globe. Ecotoxicological risk assessment indicated two high-risk compounds, venlafaxine and sulfamethoxazole, while others were medium to no risk. The study provides a preliminary baseline scenario of the current presence of pharmaceutical compounds in our waterways, particularly identifying high-risk elements that pose a potential ecological risk to humans and the environment. [ABSTRACT FROM AUTHOR]

Restaurant wastewater contains a high concentration of O&G, up to 3434 mg/L. This study aims to (a) assess the efficiency of EC combined with US methods for O&G removal in restaurant wastewater, (b) identify the optimum condition for COD degradation using EC treatment via response surface methodology (RSM), and (c) determine the morphological surface of the aluminium (Al) electrode before and after EC treatment. The wastewater samples were collected from the Lembaran cafeteria at the Universiti Sains Malaysia (USM). The efficiency of EC, US, and US-EC, combined methods for O&G removal, was investigated using a batch reactor (pH 7). The interelectrode distance (ID, 2–6 cm), electrolysis time (T, 15–35 min), and current density (CD, 40–80 A/m2) were analysed, followed by RSM. The response variables were O&G (1000 mg/L) and chemical oxygen demand (COD low range, 1000 mg/L). The central composite design (CCD) with a quadratic model was used to appraise the effects and interactions of these parameters. The morphological surface of the electrode used was observed via scanning electron microscopy (SEM). The optimum removal efficiencies obtained were 95.4% (O&G) and 75.9% (COD) (ID: 2.4 cm, T: 30.5 min, and CD: 53.2 A/m2). The regression line fitted the data (R2 O&G: 0.9838, and R2 COD: 0.9558). The SEM images revealed that the use of US was useful in minimising cavitation on the electrode surface, which could lower the EC treatment efficacy. The US-EC combined technique is highly recommended for O&G removal from the food industry's wastewater. [ABSTRACT FROM AUTHOR]

The fungi-based technology, wild-Serbian Ganoderma lucidum (WSGL) as myco-alternative to existing conventional microbial-based wastewater treatment is introduced in this study as a potential alternative treatment. The mycoremediation is highly persistent for its capability to oxidatively breakdown pollutant substrates and widely researched for its medicinal properties. Utilizing the nonhazardous properties and high degradation performance of WSGL, this research aims to optimize mycoremediation treatment design for chemical oxygen demand (COD) and ammonia nitrogen (AN) removal in domestic wastewater based on proposed Model 1 (temperature and treatment time) and Model 2 (volume of pellet and treatment time) via response surface methodology (RSM). Combined process variables were temperature (0C) (Model 1) and the volume of mycelial pellets (%) (Model 2) against treatment time (hour). Response variables for these two sets of central composite design (CCD) were the removal efficiencies of COD (%) and AN (%). The regression line fitted well with the data with R2 values of 0.9840 (Model 1-COD), 0.9477 (Model 1-AN), 0.9988 (Model 2-COD), and 0.9990 (Model 2-AN). The lack of fit test gives the highest value of sum of squares equal to 9494.91 (Model 1-COD), 9701.68 (Model 1-AN), 23786.55 (Model 2-COD), and 13357.02 (Model 2-AN), with probability F values less than 0.05 showing significant models. The optimized temperature for Model 1 was at 25 °C within 24 h of treatment time with 95.1% COD and 96.3% AN removals. The optimized condition (temperature) in Model 1 was further studied in Model 2. The optimized volume of pellet for Model 2 was 0.25% in 24-h treatment time with 76.0% COD and 78.4% AN removals. Overall, the ascended sequence of high volume of pellet considered in Model 2 will slow down the degradation process. The best fit volume of pellet with maximum degradation of COD and AN is equivalent to 0.1% at 25 °C in 24 h. The high performance achieved demonstrates that the mycoremediation of G. lucidum is highly potential as part of the wastewater treatment system in treating domestic wastewater of high organic loadings. [ABSTRACT FROM AUTHOR]

Elevated usage of pharmaceutical products leads to the accumulation of emerging contaminants in sewage. In the current work, Ganoderma lucidum (GL) was used to remove pharmaceutical compounds (PCs), proposed as a tertiary method in sewage treatment plants (STPs). The PCs consisted of a group of painkillers (ketoprofen, diclofenac, and dexamethasone), psychiatrists (carbamazepine, venlafaxine, and citalopram), beta-blockers (atenolol, metoprolol, and propranolol), and anti-hypertensives (losartan and valsartan). The performance of 800 mL of synthetic water, effluent STP, and hospital wastewater (HWW) was evaluated. Parameters, including treatment time, inoculum volume, and mechanical agitation speed, have been tested. The toxicity of the GL after treatment is being studied based on exposure levels to zebrafish embryos (ZFET) and the morphology of the GL has been observed via Field Emission Scanning Electron Microscopy (FESEM). The findings conclude that GL can reduce PCs from <10% to >90%. Diclofenac and valsartan are the highest (>90%) in the synthetic model, while citalopram and propranolol (>80%) are in the real wastewater. GL effectively removed pollutants in 48 h, 1% of the inoculum volume, and 50 rpm. The ZFET showed GL is non-toxic (LC 50 is 209.95 mg/mL). In the morphology observation, pellets GL do not show major differences after treatment, showing potential to be used for a longer treatment time and to be re-useable in the system. GL offers advantages to removing PCs in water due to their non-specific extracellular enzymes that allow for the biodegradation of PCs and indicates a good potential in real-world applications as a favourable alternative treatment. [Display omitted] • Ganoderma lucidum efficiently removed pharmaceutical compounds from <10% to >90%. • Diclofenac and valsartan were the most commonly removed in synthetic wastewater. • Citalopram and propranolol were the most removed in real sewage effluent. • The zebrafish assay reveals G. lucidum biomass after treatment is non-toxic. [ABSTRACT FROM AUTHOR]

The water stream has been reported to contain non-steroidal anti-inflammatory drugs (NSAIDs), released from households and premises through discharge from Sewage Treatment Plant (STP). This research identifies commonly consumed NSAIDs namely ibuprofen (IBU), diclofenac (DIC), ketoprofen (KET) and naproxen (NAP) in the influent wastewater from two urban catchments (i.e. 2 STPs). We expand our focus to assess the efficiency of monomer (C18) and dimer (HLB) types of sorbents in the solid phase extraction method followed by gas chromatography mass spectrometry (GCMS) analysis and optimize model prediction of NSAIDs in the influent wastewater using I-Optimal design. The ecological risk assessment of the NSAIDs was evaluated. The HLB produced reliable analysis for all NSAIDs under study (STP1: 6.7 × 10−3 mg L−1 to 2.21 × 10−1 mg L−1, STP2: 1.40 × 10−4 mg L−1 to 9.72 × 10−2 mg L−1). The C18 however, selective to NAP. Based on the Pearson proximity matrices, the DIC HLB can be a good indicator for IBU HLB (0.565), NAP C18 (0.721), NAP HLB (0.566), and KET HLB (0.747). The optimized model prediction for KET and NAP based on DIC are successfully validated. The risk quotients (RQ) values of NSAIDs were classified as high (RQ > 1), medium (RQ, 0.1–1) and low (RQ, 0.01–0.1) risks. The optimized models are beneficial for major NSAIDs (KET and NAP) monitoring in the influent wastewater of urban domestic area. An upgrade on the existing wastewater treatment infrastructure is recommended to counteract current water security situation. [Display omitted] • Influent wastewater of urban domestic area contains NSAIDs. • IBU, NAP, KET and DIC were analysed. • The efficiency of C18 and HLB sorbents were assessed. • The model parameters of NSAIDs in influent wastewater were modelled. • The estimated RQ values of NSAIDs were high, medium, and low risks. [ABSTRACT FROM AUTHOR]