Water Samples Research Articles

Retrieve water quality parameters of urban rivers from hyperspectral images through feature interaction based two-stage method fused with spectral unmixing and spatial relatedness

Monitoring water quality through efficient quantification of water quality parameters (WQPs) is of paramount importance to environmental management of urban rivers. Unmanned aerial vehicle (UAV) remote sensing techniques posed a great opportunity for visualizing spatial distributions of WQPs concentrations with higher flexibility and monitoring frequency compared to satellite remote sensing techniques, assisting to trace potential contamination sources and prevent water quality from degradation. However, current methods of water quality monitoring usually involved large masses of water samples as training data to keep calculation accuracy every time their study area changed, increasing financial cost and incurring time delay in monitoring and evaluating water quality. This study proposed a UAV-based two-stage multidirectional fusion with probabilistic matrix factorization (TSMF-PMF) method in unified framework, to effectively quantify WQPs including chemical oxygen demand (COD), biochemical oxygen demand (BOD), and turbidity from UAV hyperspectral images. TSMF-PMF established feature interaction and outlier feedback module, ensuring relatively high calculation stability with less training samples. The experimental results showed that TSMF-PMF achieved good performance on predicting concentrations of WQPs with coefficient of determination (R2) and mean absolute percentage error (MAPE) ranging from 0.82 to 0.91 and from 5.35 % to 10.23 %. This study established theoretical and technical foundation to optimize environmental management scheme of urban rivers and provided an application demonstration.

Parallel-disposable pipette extraction (Pa-DPX) using cork as a green high-throughput method for the determination of four pesticides in environmental water samples with quantification by HPLC-DAD.

This study utilized cork powder as a green alternative for extractor phase using the parallel-disposable pipette extraction (Pa-DPX) method for the determination of pesticides such as atrazine, carbofuran, diuron, and simazine from aqueous environmental samples. The separation/detection was performed by HPLC-DAD. Optimization experimental conditions was achieved through univariate and multivariate designs, resulting in the following parameters: 15mg of cork as extractor phase, 7 extraction cycles with 7.5% (m/v) NaCl in the sample, and 10s were fixed per extraction cycle. For the desorption step, 300 µL of acetonitrile was used as solvent with 1 desorption cycle. The limit of detection and limit of quantification values were 7.5µg L-1 and 25µg L-1 for atrazine, carbofuran, and diuron, and 15.1µg L-1 and 50µg L-1 for simazine, respectively. Linear working range varied from 25 to 400µg L-1 with coefficients of determination (R2) ≥ 0.983. The values of intraday precision varied from 4.9 to 18.1%, and those of interday precision varied from 21.3 to 32.2%. The accuracy of the method was determined through relative recoveries and the values ranged from 63.4 to 119.9%. The water environmental samples were collected at two different locations in Florianópolis, Santa Catarina, Brazil, and showed no detectable pesticides. The method presented here stands out due to the low consumption of sample and reagents, as well as the use of a renewable and biodegradable extraction phase (cork). The method is also a high-throughput alternative, due to the use of the Pa-DPX apparatus, which allows the preparation of up to five samples simultaneously.

Effect of Contact Time on the Sorption of Metal Ions Associated with Produced Water on Pulverized Oyster Shell (OS) as Adsorbent

The aim of this research is to investigate Metal ion sorption potentials of pulverized Oyster Shell as adsorbent in produced water from selected flow stations in the Niger Delta region of Nigeria. Produced water samples were collected from six (6) different oil drilling installations (CC7T, CC8T, WELL 2 GSS, WELL 8 TEB, AZUZUAMA ST 1, AZUZUAMA ST 2) around the Niger Delta area of Nigeria. The waste oyster shell was collected in Akpan-Andem Market in Uyo, Akwa-Ibom State and processed using well established protocols. Atomic Absorption Spectrometer (AAS) was used to determine selected metals’ Nickel (Ni), Cobalt (Co), Copper (Cu), Iron (Fe), Lead (Pb), Calcium (Ca) and Potassium (K) concentrations. The obtained values for Nickel ranged from 0.076mg/l at AZUZU-AMA ST1 flow station to 2.882 mg/l at WELL2-GSS flow station with average value of 0.745 mg/l. The obtained value for Cobalt ranged from ˂0.001 mg/l at CC-8T and CC-7T to 0.277 mg/l at AZUZUAMA ST1. Values obtained for Cu, Fe, Pb, Ca, and K ranged between: 0.195 mg/l at WELL2-GSS to 0.449 mg/l at AZUZU-AMA ST1; 2.785 mg/l to 89.279mg/l; ˂0.001 mg/l to 0.483 mg/l; 16.217 mg/l to 92.714 mg/l and 96.386 mg/l to 105.416 mg/l respectively. Generally, the amount of metal ions absorbed/adsorbed onto pulverized Oyster shell (OS) increased swiftly within 2 hours and slowly with further increase of contact time and then tended to be stable. For pulverized Oyster shell adsorbent, the adsorption/absorption capacity decreases with the increasing contact time. The adsorbent (OS) isn’t good material for removal of Calcium and Cobalt in produced water but was very effective adsorbent for Ni, Fe, and Pb removal in produced water and less effective for Cu and K removal from produced water. The study underscores the need to further probe outcome of above research at different pH and other relevant variables as well as compares its efficiency with other detoxification technologies like Detoxification by chemical reaction (DCR) technology.

A Localized Evaluation of Surface Water Quality Using GIS-Based Water Quality Index along Satpara Watershed Skardu Baltistan, Pakistan

Surface water quality in Skardu, Gilgit-Baltistan, Pakistan, is of immense importance because of the city’s dependence on these resources for domestic uses, agriculture, and drinking water. The water quality index (WQI) was integrated with the Geographic Information System (GIS) to spatially envision and examine water quality data to facilitate the identification of pollution hotspots, trend analysis, and knowledge-based decision-making for effective water resource management. This study aims to evaluate the physiochemical and bacteriological parameters of the Satpara watershed and to provide the spatial distribution of these parameters. This study endeavors to achieve Sustainable Development Goal 6 (SDG 6) by identifying localities with excellent and unfit water for drinking, sanitation, and hygiene. A total of fifty-one surface water samples were collected from various parts of the Satpara watershed during the fall season of 2023. Well-established laboratory techniques were used to investigate water for parameters like Electrical Conductivity (EC), pH, turbidity, total dissolved solids (TDSs), major cations (K+, Na+, Mg2+, Ca2+), major anions (Cl−, SO42−, NO3−, HCO3−), and bacteriological contaminants (E. coli). Spatial distribution maps of all these parameters were created using the Inverse Distance Weighted (IDW) technique in a GIS environment. A significant variation in the quality of water was observed along the study area. The level of Escherichia coli (E. coli) contamination is above the permissible limit at various locations along the watershed, making water unsafe for direct human consumption in these areas. Some regions showed low TDS values, which could adversely affect human health and agricultural yield. From the WQI valuation, 58.82% of the collected samples were “Poor”, 31.8% were “Very poor” and 9.8% were found to be “Unfit for drinking”. The research findings emphasize the pressing need for consistent monitoring and adoption of water management strategies in Skardu City to warrant sustainable soil and water use. The spatial maps generated for various parameters and the water quality index WQI offer critical insights for targeted intercessions.

Separation and enrichment of Cd and Pb from food and water samples based on a graphene oxide-decorated poly 2-diethylaminoethyl methacrylate nanocomposite by dispersive micro-solid phase extraction (d-μ-SPE)

In this study, a graphene oxide combined with poly(2-diethylaminoethyl methacrylate) (GO@PDEAEMA) nanocomposite was synthesized for the separation and enrichment of Cd and Pb from food and water samples using the dispersive micro-solid phase extraction (d-μ-SPE) technique. The GO@PDEAEMA nanocomposite was synthesized using surface-initiated atom transfer radical polymerization (SI-ATRP) and characterized using various analytical techniques, such as FTIR, FE-SEM, TGA, BET, and XRD. The optimal experimental conditions were pH 8, 0.5 M HNO₃ as eluent, 5 mg of sorbent, and adsorption/desorption times of 0.5 and 1 min, respectively, with a recovery range of 89–101 %. The suggested method showed low limits of detection (LOD) and quantification (LOQ) of 0.11 μg L−1 and 0.37 μg L−1 for Cd and 0.28 μg L−1 and 0.93 μg L−1 for Pb, respectively. The optimal procedure was successfully applied to real water and food samples. The study demonstrates the possibility of using GO@PDEAEMA nanocomposite as an effective sorbent for toxic metal extraction.

Application of the GIS methods along with measured parameters to identify the NH4+ origin in the Hranice Karst (Czech Republic)

The study aims to determine the source of NH4+ ions in the mineral waters of the Hranice Karst. The study area is located in the eastern part of the Czech Republic, Europe. The area is known mainly for its carbon dioxide of deep origin; the gas was the factor that enabled the formation of hypogene karst, in the Palaeozoic limestones, as well as warm mineral waters. The limestones of the area are covered by Neogene (Miocene) sediments of variable thickness and lithology. Recurrent sampling was done at 36 sites. A total of 96 surface water samples, 65 borehole water samples and 96 karst water samples were assessed. Major anions, cations and the content of nitrogen and its forms were determined for all water samples. The soil types were characterised by a field pedological survey. The normalised difference vegetation index was calculated in QGIS and vegetation vitality was evaluated. Since places with remarkably low vegetation index were found to be linked to the occurrence of Miocene sandstones, they represent points of rather fast entry of rainwater into the ground. As the presence of carbon dioxide creates an anoxic setting underground, the entering nitrates are transformed into NH4+ ions. This mechanism of transformation within the nitrogen cycle explains the presence of NH4+ ions in areas with elevated CO2.

Using UAVs to collect filtered water samples for mineral exploration: Will it take off?

The advent of unmanned aerial vehicle (UAV) assisted surface water sampling and ongoing technological advances in sampling and data acquisition, offers many opportunities to conduct high-quality hydrogeochemical surveys with low cost, high efficiency, and reduced human interactions. Hydrogeochemical mineral exploration is one area that could greatly benefit from a UAV sampling revolution, with survey sites often located in highly remote areas with limited existing infrastructure. Currently, a lack of point source filtration and complicated physiochemical data acquisition hinder mainstream UAV deployment in the context of hydrogeochemical studies. The aim of this paper is to provide guidance on effective UAV sampling methods and physiochemical data collection for use in surface water hydrogeochemical mineral exploration. To date, case study surveys have utilized sampling systems where sampled waters are filtered after collection or analyzed for ‘total’ (unfiltered) concentrations. This paper details a methodology for point-source filtration of water samples using a UAV system to recover filter sample aliquots for the determination of ‘dissolved’ (<0.45 μm) trace element concentrations and compares UAV methods to conventional sampling strategies. This study systematically compares the quality of analytical data collected from lakes, ponds, and rivers in the Long Lake area of southern Ontario, using conventional manual sampling (from a boat or canoe) and a series of UAV-based sampling methodologies. The waters sampled within the study area are highly meteoric and show evidence of solute input from water-rock interaction with local country rocks. The results of this study show that in general, conventional sampling methodologies are statistically comparable to samples collected using UAVs. However, there is some evidence of element variation related to lake stratification, with dissolved Cu concentrations higher in samples collected at depth compared to those from the surface. Similarly, samples filtered after collection typically have lower concentrations of Fe and Mn, potentially resulting from precipitation before filtration. An enclosed sampling system offered from peristaltic pumping with in-line filtration removes the potential for contamination from the surrounding environment and from the UAV itself.

An Efficient Fluorescent Chemosensing Probe for Total Determination and Speciation of Ultra-Trace Levels of Mercury (II) Species in Water.

The current study reports a novel fluorescent chemosensor based on the tagging agent 4,5,6,7-tetrachloro-2',4',5',7'-tetraiodofluorescein (Rose Bengal, RB) for detection of trace levels of Hg2+in environmental water. The established probe has been based upon liquid-liquid extraction (LLE) of the developed ternary complex ion associate {[Hg (bpy)2]2+.[RB]2-} of Hg2+ -2,2- bipyridyl complex [Hg (bpy)2]2+ and RB at pH 9.0 onto chloroform and measuring the resulting fluorescence enhancement signal intensity at λex/em = 570/ (580-600) nm. The limits of detection (LOD) and quantification (LOQ) of for Hg2+ was calculated to be 6.06 and 20 nM with a linear dynamic range (LDR) of 0.02-20µM, respectively. The stability constant, stoichiometry, chemical equilibria, and the thermodynamic parameters (ΔH, ΔS, and ΔG) of the developed ion associate were evaluated and assigned. Student's t and F tests at 95% confidence were fruitfully used for validation of the proposed methodology for Hg2+ detection in water samples with the aid of inductively coupled plasma-optical emission spectrometry (ICP-OES). The established strategy was successfully applied for detection of trace levels of Hg2+ in water samples with acceptable results. The proposed probe was satisfactorily applied for total determination and speciation of Hg in various water samples. Integrating the functional chelating agent onto associate formation to improve the selectivity and sensing properties of the LLE combining sensing probe towards target analyte in water represent the main interest.

Fast Analysis of Humic Acid in Mud and Water Samples

A broad spectrum of pharmacological activity of mud is related to humic acid, creating a need for fast reliable methods for its assay in mud and water samples. This paper proposes an electroanalytical method for the determination of humic acid content using a stochastic sensor, a method that does not involve the extraction of active ingredients prior to the determination. The method has proven to be a very good choice for the analysis as no sample processing is needed, the sample matrix does not influence the analysis results, and reliable quantitative and qualitative analyses can be performed. High sensitivity (1.61 × 109 s−1g−1ml) and very low limit of determination (1 × 10−18 g ml−1) were recorded. Recoveries higher than 95.00% of humic acid, with percentages of RSD lower than 1.00 determined, when the stochastic sensor was used for the electroanalysis of humic acid in mud.

Affordable paper-based strips: A breakthrough in phenol detection for water samples

Phenols are pollutants prevalent in industries such as pharmaceuticals, pulp and paper, petrochemicals, coal, agriculture, and plastics, often released untreated. Detecting and measuring phenols is essential, typically achieved through spectrophotometry, chromatography, electrochemical, and immunochemical biosensors. These methods, however, are expensive and require skilled operators. Thus, developing an efficient, user-friendly, affordable, and environmentally sustainable method is crucial. This study introduces inexpensive colorimetric paper-based sensor strips for detecting phenolic contaminants in water samples using the Folin–Ciocalteu (FC) reagent as the chromogenic probe. Whatman #1 and #4 filter papers were used to construct the prototypes, WFP-1 and WFP-4. The limit of detection (LOD) for five phenols (pyrogallol, gallic acid, resorcinol, vanillin, and hydroquinone) was 6.01 mg/L and 9.66 mg/L, respectively. ImageJ software analyzed the color intensity of each phenol, revealing a detection order of pyrogallol > resorcinol > gallic acid > hydroquinone > vanillin, attributed to the reactivity of phenolic hydroxyl groups with FC reagent. Recovery tests with water samples containing resorcinol showed WFP-1 sensors achieving 90 %–98.50 % recovery and WFP-4 sensors achieving 97.50 %–101.69 % recovery. These results highlight the sensor’s simplicity, cost-effectiveness, and potential for widespread application in phenolic contaminant detection and quantification.

Novel amino-functionalized MOF-based sensor for zinc ion detection in water and blood serum samples

Aquatic systems with low zinc levels can experience a significant decrease in carbon dioxide uptake and limited growth of phytoplankton species. In this study, we describe the use of a new fluorescent sensor based on NH2-MIL-53(Al), and modified with glutaraldehyde and sulfadoxine, for selectively detecting zinc ions in water and blood serum samples. Characterization of the synthesized material was performed using X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), Brunauer–Emmett–Teller (BET) surface area analysis, X-ray photoelectron spectroscopy (XPS), and scanning electron microscopy (SEM), confirming successful functionalization and preservation of the MOF structure. The sensor’s performance for Zn2+ detection was evaluated by spectrofluorometry, demonstrating a significant fluorescence enhancement upon Zn2+ binding due to the interaction between Zn2+ ions and the sulfonamide groups. With a detection limit as low as 3.14 × 10–2 ppm, the sensor demonstrates high selectivity for Zn2+ over other common metal ions. The sensor’s response is rapid, stable, and reproducible, making it suitable for practical applications. Real sample analysis was conducted in tap water and blood serum samples, with the results compared to those obtained using ICP-OES and a colorimetric test with 5-bromo-PAPS. The comparison confirmed the high accuracy and reliability of the fluorescent sensor in detecting Zn2+ ions in complex matrices. NH2-MIL-53(Al) modified with glutaraldehyde and sulfadoxine shows potential as a selective fluorescent sensor for Zn2+ detection, making it a valuable tool for monitoring the environment and biology.

Development of “water-lean” solvent-based air-assisted liquid–liquid microextraction; application in the extraction of some phenolic compounds from water and wastewater samples prior to GC-FID analysis

In the present study, an efficient, robust, and reliable air–assisted liquid–liquid microextraction procedure was introduced based on a “water-lean” solvents for the extraction and preconcentration of phenolic compounds from spring water and petrochemical, Songun mine, and municipal wastewater samples. For this purpose, various hydrophobic water-lean solvents composed of organic solvents consisting of carbon tetrachloride, dichloromethane, 1,1,2-trichloro-1,2,2-trifluoroethane, and chloroform with amines including n-butylamine, di-n-butylamine, iso-propylamine, n-hexylamine, diethylamine, pyridine, aniline, toluidine, and benzylamine) were prepared and they were used as the new extraction media. The selected compounds (phenol, 1-naphthol, 2-naphthol, 4- chlorophenol, o-cresol, 2-nitrophenol, and 2-nitroso-1-naphthol) were extracted from sample solution containing sodium chloride (5 %, w/v) using 200 µL of a water-lean solvent composed of dichloromethane: butylamine (1:1) by performing the sucking/injection cycles for four times. The effect of several parameters on the extraction efficiency of the method, consisting of type and volume of water-lean solvent, extraction numbers, pH, and ionic strength, were examined and optimized by “one-variable-at-one-time” strategy. High enrichment factors (315–420), respectable extraction recoveries (63–84 %), low limits of detection (0.23–0.56 ng mL−1) and quantification (0.77–1.86 ng mL−1), and broad linearity of the calibration curve (1.86–500 ng mL−1) demonstrated satisfactory performance of the present approach. The relative standard deviation for the extraction of 50 and 100 ng mL−1 of each phenol (n = 6) were ≤ 6.3 % for intra- and inter-day precisions. Eventually, the proposed method was efficaciously performed for extraction and determination of the selected analytes in various water and wastewater samples and phenol and 4-chlorophenol were found in the samples at ng mL−1 level.

Exploring health hazards from toxic elements in well water samples within prism steel rolling mill, Ikirun, Osun State, Nigeria

Exploring health hazards from toxic elements in well water samples within prism steel rolling mill, Ikirun, Osun State, Nigeria

Extraction of Penicillin G From Dairy Products Using Deep Eutectic Solvent/Alginate Beads Enhanced via Layered Double Hydroxides.

A new nanocomposite based on alginate microbeads impregnated with novel strontium-aluminum layered double hydroxide (Sr-Al LDH) incorporated with choline chloride-urea deep eutectic solvent (ChCl-U DES) was introduced. The microbeads and LDH were characterized by adsorption/desorption isotherms, Fourier-transform infrared spectroscopy, SEM, and x-ray diffraction. The adsorbent was employed for determining penicillin G (PENG) using dispersive solid-phase extraction prior to HPLC analysis. The extraction efficiency of the adsorbent, compared with that of unmodified alginate, showed a 2.5-fold increase. Significant parameters, including elution conditions, sorbent composition and mass, adsorption time, and sample pH, were optimized. The LOD was 0.4µg kg-1, and the linear range was 1.4-500µg kg-1. The LOQ (1.4 µg kg-1) was lower than the established maximum level for PENG by the European Union (4 µg kg-1). Enrichment factor and synthesis reproducibility were also investigated. The method's accuracy was evaluated through PENG analysis in dairy products and water, with recoveries of 81%-107% (RSDs<7.6%). The procedure's greenness was assessed using the Analytical Eco-scale and achieved excellent green credentials. To the best of our knowledge, this is the first report on the synthesis and application of a novel alginate composite for the extraction of PENG from dairy and water samples.

Mineral pollutants and coliform contamination in groundwater pose health risks to consumers: a spatiotemporal study in a mining-impacted area

The presence of mineral pollutants, combined with bacterial contamination, has significantly impacted groundwater quality and led to various health-related issues in mining-impacted areas. Therefore, we measured the concentration of fluoride (F-), phosphate (PO43-), sulphate (SO42-), ammonium (NH4+), nitrate (NO3-), the total coliforms (TCs), and physiochemical characteristics in groundwater samples of South Khorasan, Eastern Iran. For this, we collected water samples from 100 wells in spring and autumn across this mining-impacted area. We then measured the concentrations of mineral pollutants and assessed their associated health risks to children and adults using the Environmental Protection Agency (EPA) models and spatiotemporal zoning maps in ArcGIS. The concentrations of PO43-, NH4+, SO42-, NO3-, and F- were 0.70 ± 0.34, 0.82 ± 0.9, 175.45 ± 123, 15.26 ± 9.41, and 0.53 ± 0.68 mg/L in spring, and 0.71 ± 3.18, 4.68 ± 31, 306.72 ± 615.80, 19.30 ± 15.61, and 0.72 ± 0.65 mg/L in autumn, respectively. PO43-, NH4+, and SO42- exceeded both the World Health Organization (WHO) and EPA, but NO3- exceeded only EPA standards. TCs in both seasons exceeded the standards set by the EPA and WHO. The hazard quotient (HQ) values indicated non-carcinogenic risks for F⁻ and NO3⁻, while posing no risks NH4⁺ and PO43⁻ in both adults and children during autumn and spring.Hazard index (HI) was greater than 1 for all minerals in both children and adults in autumn and spring. No correlation was observed between mineral compounds and TCs in the study area, yet the water samples were highly contaminated by coliform with a significant risk to adults and children. In essence, both mineral pollutants and TCs potentially pose serious risks to human, and more efforts are required to improve the quality of water in this area.

A rapid colorimetric sensor for the detection of mercury in environmental samples employing 2 aminobenzohydrazide schiff base functionalized silver nanoparticles

Mercury (Hg2+) is an extremely toxic and dangerous element for living organisms. Herein, a simple and selective sensor based on the Schiff base of 2-aminobenzohydrazide with triazole thiazole substituted vanillin (EAHT) functionalized silver nanoparticles (EAHT-AgNPs) is proposed for the detection of Hg2+ in environmental water samples. The chemical reduction method was employed to synthesize EAHT-AgNPs using sodium borohydride as the reducing agent. The synthesized nanoparticles were initially confirmed by UV-visible and FTIR spectroscopy, followed by analysis with a zeta sizer to determine their average size, surface charge and polydispersity index. The atomic force microscopy (AFM) and scanning electron microscopy (SEM) were employed to determine the size and morphology of EAHT-AgNPs. Additionally, the functionalized particles exhibited stability at varying pH values, salinity concentrations and elevated temperature. The addition of Hg2+ altered the yellow color of EAHT-AgNPs to colorless, confirming the complex formation. The analytical response constructed as a decrease in absorbance versus concentration showed linearity (R2 = 0. 991) from 0.1 to 100 µM with a limit of detection of 0.04 µM (40 nM) and limit of quantification of 0.085 µM (85 nM). The sensor was successfully applied for the detection of Hg2+ ions in tap water. In conclusion, Schiff base of 2-aminobenzohydrozide with triazole thiazole substituted vanillin silver nanoparticle-based chemosensor is highly sensitive and selective for the detection of Hg2+ in water samples. The proposed sensor has been applied for mercury detection tap water, future research should explore its applications in more complex samples like industrial wastewater and marine environments. Further, studies may focus on the integrating of the approach into the portable devices such as smartphone for on-site detection of mercury.

Direct aqueous injection LC−ESI-MS/MS analysis for the determination of 23 EU watch list substances in whole water samples

The Watch List (WL) monitoring program in the European Union (EU) aims to identify and prioritize emerging pollutants in the aquatic environment that may pose risks to human health and the environment. Thus, reliable methods are needed to determine these substances. This study presents the development of a simple, fast, and green method for analysing 23 WL substances (4 antibiotics, 9 azole compounds, 6 other pesticides, and 4 sunscreens), covering a range of medium to very low polarity (log Kow 2.2–6.9), in whole environmental water samples using direct aqueous injection (DAI) in combination with liquid chromatography–electrospray ionization tandem mass spectrometry (LC–ESI-MS/MS). To process the samples, 0.5 mL of acetonitrile is added to 1 mL of raw water, followed by brief shaking. The mixture is then centrifuged to remove sedimented suspended solids before being injected into the LC instrument. A rigorous analytical greenness metric for sample preparation (AGREEprep) assigned this procedure a green score of 0.61. The method showed satisfactory performance characteristics for all analytes under investigation, including limits of quantification meeting the WL requirements, recoveries in the range of 79–120%, and intra-day precision with relative standard deviations in the range of 1.9–20%. The method is suitable for screening and monitoring purposes, as confirmed by the analysis of real samples.

Distribution, environmental risks, and conservation challenges of chemical pollutants in Persian Gulf marine protected areas

This study investigates the occurrence and distribution of chemical pollutants, including total petroleum hydrocarbons (TPHs), organochlorine pesticides (OCPs), polychlorinated biphenyls (PCBs), anionic surfactants, and total organic carbon (TOC), in the Marine Protected Areas (MPAs) waters in the northern Persian Gulf. Water samples were collected from five MPAs during the winter and summer of 2022. The study identified significant seasonal variations, with higher pollutant levels recorded in winter compared to summer. Concentrations of ∑19PCBs (ng/L), anionic surfactants (µg/L), TPHs (mg/L), and TOC (mg/L) ranged from 0.72 to 4.66, 10 to 79, ND to 134.63, and 0.5 to 114.58 in winter, and from 2.49 to 5.05, 11 to 30, ND to 20.26, and 0.15 to 5.27 in summer, respectively. The pollution patterns revealed the Mond protected area as a major pollution hotspot, compromising its ecological health. The results highlight the critical need for targeted pollution control and enhanced conservation measures in the region’s MPAs to protect biodiversity and marine ecosystems.

Magnetic biochar prepared from a spent mushroom substrate as an adsorbent for the analysis of pyrethroids in environmental water samples

In this study, a spent mushroom substrate (SMS) from Lentinus edodes cultivation was used to prepare biochar (BC) and magnetic biochar (MBC) at high temperatures. The magnetic field strength of MBC was proved via VSM analysis. The results of the nitrogen adsorption‒desorption isotherms of BC and MBC showed that MBC exhibited stronger adsorption, and SEM was performed to compare the microstructures of BC and MBC. TEM was performed to compare the distributions of C, O, and Fe. The FT-IR and XRD results revealed changes in the structure and the formation of new substances after magnetization; that is, MBC was more conducive to the adsorption and recovery of pesticides. Moreover, a method for the detection of tetramethrin, beta-cypermethrin, and fenvalerate in water samples (tap water, lake water, and river water) was established, and this method combined the use of MBC as adsorbent and high-performance liquid chromatography. Moreover, great linearity of the method was obtained in the range of 0.5–2.5 μg/mL; the recoveries in real samples were in the range of 70.20–73.32%, and the RSDs were in the range of 0.22–1.09%. The method is simple and effective, is suitable for the detection of pyrethroids in water, and has certain application potential.

Bottom Trawling and Multi‐Marker eDNA Metabarcoding Surveys Reveal Highly Diverse Vertebrate and Crustacean Communities: A Case Study in an Urbanized Subtropical Estuary

ABSTRACTEstuarine habitats serve as critical feeding and nursery grounds for many aquatic species and support fisheries. However, monitoring these complex ecosystems using conventional trawling methods is destructive, costly, and labor‐intensive. This study compared trawling and a multi‐marker environmental DNA (eDNA) metabarcoding approach to monitor marine vertebrate and crustacean communities in an estuarine environment in subtropical Hong Kong. We analyzed 16 bottom trawl samples and the eDNA from 32 two‐liter water samples using primer sets specific to fishes and mammals (MiFish‐U, 12S‐V5, and Berry‐Fish) and decapod crustaceans (MiDeca). We found that the eDNA approach detected more pelagic and demersal fishes (237 vs. 106 in trawling) and elasmobranchs (6 vs. 3) than trawling. The eDNA approach was also more effective than trawling in detecting threatened vertebrates (16 vs. 4), including the Indo‐Pacific Finless Porpoise and the critically endangered Large Yellow Croaker. Among the detected fish at species level, 70 species were detected by both approaches, 32 species were detected by trawling only, and 142 species were detected by the eDNA approach only. Regarding crustaceans, the eDNA approach detected slightly fewer decapods (61 vs. 77) and stomatopods (5 vs. 8) than trawl surveys. However, the eDNA approach could be enhanced through the development of suitable decapod‐specific primers and the expansion of the local reference database. In addition, multivariate analyses of the eDNA data revealed spatial patterns of fish and crustacean assemblages that might be associated with sediment loading, oxygen, and nutrient levels. Furthermore, there was a positive correlation between eDNA read counts and trawl catch, but their correlation coefficient was low. We conclude that eDNA metabarcoding can provide high‐resolution detection of species, composition, and unravel community–environment relationships in estuarine ecosystems. Overall, integrating the non‐destructive eDNA approach can complement the conventional trawling method for better‐informed sustainable fishery management and conservation.