Exploring regression-based QSTR and i-QSTR modeling for ecotoxicity prediction of diverse pesticides on multiple avian species

Environ. Sci.: Adv., 2023, 2,1399-1422
DOI: 10.1039/D3VA00163F, Paper
Open Access Open Access
Trina Podder, Ankur Kumar, Arnab Bhattacharjee, Probir Kumar Ojha
Ensuring the protection of endangered bird species from pesticide exposure plays a vital role in safeguarding ecosystem integrity.
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Large-scale measurement of soil organic carbon using compact near-infrared spectrophotometers: effect of soil sample preparation and the use of local modelling

Environ. Sci.: Adv., 2023, 2,1372-1381
DOI: 10.1039/D3VA00046J, Paper
Open Access Open Access
Aymbiré A. Fonseca, Celio Pasquini, Emanuelle. M. B. Soares
Compact NIR instruments are a cost-effective alternative for large-scale SOC determination. The best performance was found using local modelling and soil sample preparation.
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Remediation and recycling of inorganic acids and their green alternatives for sustainable industrial chemical processes

Environ. Sci.: Adv., 2023, 2,1306-1339
DOI: 10.1039/D3VA00112A, Critical Review
Open Access Open Access
Chhavi Agarwal, Ashok K. Pandey
Aqueous acidic wastes are generated as a result of various industrial processes, and remediation and recycling of inorganic acids are required to mitigate their negative environmental effects and extending the sustainability of their uses.
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A porous bentonite–coconut husk composite for the enhanced adsorption of selected emerging contaminants from aqueous solution

Environ. Sci.: Adv., 2023, Advance Article
DOI: 10.1039/D3VA00033H, Paper
Open Access Open Access
Abisola O. Egbedina, Simisola B. Odejobi, Babatunde J. Akinbile, Abayneh A. Ambushe, Bamidele I. Olu-Owolabi, Kayode O. Adebowale
Preparation of bentonite clay–coconut husk composite (BECH) via microwave-assisted carbonization, the activation of BECH with HCl (BECH-H) and KOH (BECH-K) and the adsorption of ciprofloxacin, tetracycline, and bisphenol A from aqueous solutions.
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AI-guided electro-decomposition of persistent organic pollutants: a long-awaited vision becoming reality?

Environ. Sci.: Adv., 2023, 2,1302-1305
DOI: 10.1039/D3VA00175J, Perspective
Open Access Open Access
Lin Zhu, Lei Du, Guodong Cao, Zongwei Cai
AI-assisted design of high-entropy alloys for electro-degradation of POPs could greatly accelerate and improve the design–synthesis–test cycle, hence providing a practical strategy to solve the challenges we might face during mitigation of POPs.
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Machine learning for hours-ahead forecasts of urban air concentrations of oxides of nitrogen from univariate data exploiting trend attributes

Environ. Sci.: Adv., 2023, Advance Article
DOI: 10.1039/D3VA00010A, Paper
Open Access Open Access
David A. Wood
The extraction of multiple attributes from past hours in univariate trends of hourly oxides of nitrogen (NOx) recorded at ground-level sites substantially improves NOx hourly forecasts for at least four hours ahead without exogenous-variable inputs.
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Ion density-enhanced electrostatic precipitation using high voltage nanosecond pulses

Environ. Sci.: Adv., 2023, Advance Article
DOI: 10.1039/D3VA00148B, Paper
Open Access Open Access
Creative Commons Licence  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Boxin Zhang, Indu Aravind, Sisi Yang, Sizhe Weng, Bofan Zhao, Grace Johnson, Lucas Brown, Jason Olfert, Heejung Jung, Stephen B. Cronin
This study evaluates the beneficial effects of discharging nanosecond pulse transient plasma (NPTP) in a coaxial electrostatic precipitator for capturing nanoscale soot particles (∼50 nm) produced by an ethylene flame.
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Microplastic emerging pollutants – impact on microbiological diversity, diarrhea, antibiotic resistance, and bioremediation

Environ. Sci.: Adv., 2023, Advance Article
DOI: 10.1039/D3VA00084B, Critical Review
Open Access Open Access
Karupanagounder Thangaraj Uthra, Vellapandian Chitra, Narayanasamy Damodharan, Anitha Devadoss, Moritz Kuehnel, Antonio Jose Exposito, Sanjay Nagarajan, Sudhagar Pitchaimuthu, Gururaja Perumal Pazhani
Advanced economic development and technologies cause worldwide plastic waste to increase many folds, leaving policymakers with the dilemma of managing it.
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Ensemble hybrid machine learning to simulate dye/divalent salt fractionation using a loose nanofiltration membrane

Environ. Sci.: Adv., 2023, 2,1446-1459
DOI: 10.1039/D3VA00124E, Paper
Open Access Open Access
Nadeem Baig, S. I. Abba, Jamilu Usman, Mohammed Benaafi, Isam H. Aljundi
The escalating quantity of wastewater from multiple sources has raised concerns about both water reuse and environmental preservation.
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Synthesis and characterization of fluorescent gold clusters encapsulated in PNIPAM and PAAM hydrogels for selective detection of mercury in water

Environ. Sci.: Adv., 2023, Advance Article
DOI: 10.1039/D3VA00114H, Paper
Open Access Open Access
Gustavo A. Monti, Gustavo A. Pino, Diego Acevedo
AuNCs supported on PNIPAM and PAAM polymer matrices were synthesized and characterized. Nanomaterials are selective and sensitive to detect mercury in water by fluorescence.
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