Keyword search (4,164 papers available)

"SAM" Keyword-tagged Publications:

Title Authors PubMed ID
1 Development of an evaporation-driven sampling system for the in situ long-term monitoring of heavy metals in surface water Li X; Ma H; Shi S; Tian X; Nie L; Han X; Sun J; Chen Z; Li J; Chen K; 41886856
ENCS
2 Mapping the distribution of contaminants identified by non-targeted screening of passively sampled urban air Liu L; Gillet AP; Akiki C; Tian L; Ma Y; Zhang X; Bowman DT; Wania F; Delbès G; Apparicio P; Bayen S; 41033295
CHEMBIOCHEM
3 Fortifying the Rasamsonia emersonii secretome with recombinant cellobiohydrolase (GH7) for efficient biomass saccharification Raheja Y; Singh V; Gaur VK; Sharma G; Tsang A; Chadha BS; 40622460
GENOMICS
4 Heterologous Expression of Thermostable Endoglucanases from Rasamsonia emersonii: A Paradigm Shift in Biomass Hydrolysis Raheja Y; Singh V; Gaur VK; Tsang A; Chadha BS; 40418313
GENOMICS
5 Genomics-Enabled Mixed-Stock Analysis Uncovers Intraspecific Migratory Complexity and Detects Unsampled Populations in a Harvested Fish Gibelli J; Won H; Michaelides S; Jeon HB; Fraser DJ; 39995301
BIOLOGY
6 Prevalence of insomnia and use of sleep aids among adults in Canada Morin CM; Vézina-Im LA; Chen SJ; Ivers H; Carney CE; Chaput JP; Dang-Vu TT; Davidson JR; Belleville G; Lorrain D; Horn O; Robillard R; 39369578
HKAP
7 Transcriptional and secretome analysis of Rasamsonia emersonii lytic polysaccharide mono-oxygenases Raheja Y; Singh V; Kumar N; Agrawal D; Sharma G; Di Falco M; Tsang A; Chadha BS; 39167166
CSFG
8 Metabolomics 2023 workshop report: moving toward consensus on best QA/QC practices in LC-MS-based untargeted metabolomics Mosley JD; Dunn WB; Kuligowski J; Lewis MR; Monge ME; Ulmer Holland C; Vuckovic D; Zanetti KA; Schock TB; 38980450
CHEMBIOCHEM
9 Interactive effects of alcohol and cannabis quantities in the prediction of same-day negative consequences among young adults Wardell JD; Coelho SG; Farrelly KN; Fox N; Cunningham JA; O' Connor RM; Hendershot CS; 38575530
PSYCHOLOGY
10 A thermostable and inhibitor resistant β-glucosidase from Rasamsonia emersonii for efficient hydrolysis of lignocellulosics biomass Raheja Y; Singh V; Sharma G; Tsang A; Chadha BS; 38470501
CSFG
11 Variation the in relationship between urban tree canopy and air temperature reduction under a range of daily weather conditions Locke DH; Baker M; Alonzo M; Yang Y; Ziter CD; Murphy-Dunning C; O' Neil-Dunne JPM; 38352758
BIOLOGY
12 Weighty words: exploring terminology about weight among samples of physicians, obesity specialists, and the general public Wilson OWA; Nutter S; Russell-Mayhew S; Ellard JH; Alberga AS; MacInnis CC; 38131299
HKAP
13 Metabolomics 2022 workshop report: state of QA/QC best practices in LC-MS-based untargeted metabolomics, informed through mQACC community engagement initiatives Dunn WB; Kuligowski J; Lewis M; Mosley JD; Schock T; Ulmer Holland C; Zanetti KA; Vuckovic D; 37940740
CHEMBIOCHEM
14 CRISPR/Cas9 mediated gene editing of transcription factor ACE1 for enhanced cellulase production in thermophilic fungus Rasamsonia emersonii Singh V; Raheja Y; Basotra N; Sharma G; Tsang A; Chadha BS; 37658430
CSFG
15 Identification of the driving factors of microplastic load and morphology in estuaries for improving monitoring and management strategies: A global meta-analysis Feng Q; An C; Chen Z; Lee K; Wang Z; 37336353
ENCS
16 Non-Reproductive Sexual Behavior in Wild White-Thighed Colobus Monkeys (Colobus vellerosus) Teichroeb JA; Fox SA; Samartino S; Wikberg EC; Sicotte P; 36849676
BIOLOGY
17 Dense Sampling Approaches for Psychiatry Research: Combining Scanners and Smartphones McGowan AL; Sayed F; Boyd ZM; Jovanova M; Kang Y; Speer ME; Cosme D; Mucha PJ; Ochsner KN; Bassett DS; Falk EB; Lydon-Staley DM; 36797176
PSYCHOLOGY
18 How well do covariates perform when adjusting for sampling bias in online COVID-19 research? Insights from multiverse analyses Joyal-Desmarais K; Stojanovic J; Kennedy EB; Enticott JC; Boucher VG; Vo H; Košir U; Lavoie KL; Bacon SL; 36335560
HKAP
19 Air monitoring of tire-derived chemicals in global megacities using passive samplers Johannessen C; Saini A; Zhang X; Harner T; 36152723
CHEMBIOCHEM
20 Sample size and precision of estimates in studies of depression screening tool accuracy: A meta-research review of studies published in 2018-2021 Nassar EL; Levis B; Neyer MA; Rice DB; Booij L; Benedetti A; Thombs BD; 35362161
PSYCHOLOGY
21 Combination of system biology and classical approaches for developing biorefinery relevant lignocellulolytic Rasamsonia emersonii strain Raheja Y; Singh V; Kaur B; Basotra N; Di Falco M; Tsang A; Singh Chadha B; 35318142
CSFG
22 Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images Bourouis S; Alharbi A; Bouguila N; 34460578
ENCS
23 The Epistemology of Evolutionary Psychology Offers a Rapprochement to Cultural Psychology Gad Saad 33224071
JMSB
24 Circulating miR-1246 Targeting UBE2C, TNNI3, TRAIP, UCHL1 Genes and Key Pathways as a Potential Biomarker for Lung Adenocarcinoma: Integrated Biological Network Analysis Huang S; Wei YK; Kaliamurthi S; Cao Y; Nangraj AS; Sui X; Chu D; Wang H; Wei DQ; Peslherbe GH; Selvaraj G; Shi J; 33050659
CHEMBIOCHEM
25 Volatility spillover around price limits in an emerging market Aktas OU; Kryzanowski L; Zhang J; 32837364
JMSB
26 SPARK: Sparsity-based analysis of reliable k-hubness and overlapping network structure in brain functional connectivity. Lee K, Lina JM, Gotman J, Grova C 27046111
PERFORM

 

Title:Development of an evaporation-driven sampling system for the in situ long-term monitoring of heavy metals in surface water
Authors:Li XMa HShi STian XNie LHan XSun JChen ZLi JChen K
Link:https://pubmed.ncbi.nlm.nih.gov/41886856/
DOI:10.1016/j.jhazmat.2026.141863
Publication:Journal of hazardous materials
Keywords:Evaporation-Driven SamplerHeavy MetalsTime-Weighted Average ConcentrationWater Contaminants
PMID:41886856 Category: Date Added:2026-03-27
Dept Affiliation: ENCS
1 Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission, College of Resources and Environment, South-Central MinZu University, Wuhan 430074, PR China.
2 Key Laboratory of Catalysis and Energy Materials Chemistry of Ministry of Education & Hubei Key Laboratory of Catalysis and Materials Science, School of Chemistry and Materials Science, South-Central MinZu University, Wuhan 430074, PR China.
3 Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal H3G1M8, Canada.
4 Shenzhen Key Laboratory of Environmental Chemistry and Ecological Remediation, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, PR China.
5 Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission, College of Resources and Environment, South-Central MinZu University, Wuhan 430074, PR China; Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal H3G1M8, Canada. Electronic address: kechen@mail.scuec.edu.cn.

Description:

Non-electrically driven samplers, commonly known as passive samplers, are widely used in surface water monitoring to determine the Time-Weighted Average Concentration (CTWA) of contaminants. In this study, we developed an evaporation-driven sampling system and methodology, comprising an Evaporation-Driven Sampler (EDS) for sampling and its standard version (Std-EDS) for measuring the sampling rate (RS). The EDS consists of a filter, tubes, a SPE-like (Solid Phase Extraction) device, a central pipe, towels, and floats. Sampling in this system is driven by the continuous evaporation from the towels. The Std-EDS incorporates the same key structure as the EDS, enabling the RS to be measured through straightforward weight change. In a 14-day experiment, the device demonstrated an RS of 281 mL/d, which is about tenfold higher than that of the Diffusive Gradients in Thin films (DGT) method. RS can be easily adjusted, from tens to hundreds of mL per day by varying the area of towels, highlighting the system's versatility and broad applicability to environmental condition. Additionally, RS is dominantly controlled by ambient evaporation, as confirmed by a strong linear correlation (R2 = 0.98, n = 30). This establishes evaporation as the key environmental factor governing the sampling process. Field validation confirmed that the EDS/Std-EDS accurately tracked heavy metal concentrations in surface water, yielding an average recovery of 70.7%. Further study demonstrated stability and performance comparable to grab sampling and conventional passive methods like DGT. In summary, the EDS and Std-EDS is a flexible and reliable sampling system, showing potential for environmental monitoring.





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