نتائج البحث - "Pollutant detection"

العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:001059669700125; volume:23; issue:17; firstpage:20180; lastpage:20188; journal:IEEE SENSORS JOURNAL; https://hdl.handle.net/11380/1312749Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85165383812

الإتاحة: https://doi.org/10.1109/JSEN.2023.3296158Test
https://hdl.handle.net/11380/1312749Test

View record in BASE

6

دورية أكاديمية

Intercomparison of NO3 under Humid Conditions with Open-Path and Extractive IBBCEAS in an Atmospheric Reaction Chamber

المؤلفون: Meng Wang, Shengrong Lou, Weiwei Hu, Haichao Wang, Xinming Wang, Fengxian Fan, Ravi Varma, Dean S. Venables, Jun Chen

المصدر: Remote Sensing; Volume 15; Issue 3; Pages: 739

مصطلحات موضوعية: spectroscopy, open-path, IBBCEAS, trace pollutant detection, nitrate radical

جغرافية الموضوع: agris

وصف الملف: application/pdf

العلاقة: Atmospheric Remote Sensing; https://dx.doi.org/10.3390/rs15030739Test

الإتاحة: https://doi.org/10.3390/rs15030739Test

View record in BASE

7

دورية أكاديمية

Okra peel-derived nitrogen-doped carbon dots: Eco-friendly synthesis and multi-functional applications in heavy metal ion sensing, nitro compound detection and environmental remediation.

المؤلفون: Koparde, Sneha V, Nille, Omkar S, Kolekar, Akanksha G, Bote, Prachi P, Gaikwad, Kishor V, Anbhule, Prashant V, Pawar, Samadhan P, Kolekar, Govind B

المصدر: Spectrochim Acta A Mol Biomol Spectrosc ; ISSN:1873-3557 ; Volume:321

مصطلحات موضوعية: Emerging pollutant detection, Environmental remediation, Fluorescence quenching, Fluorescence sensor, Nitrogen doped carbon dots (N-CDs)

العلاقة: https://doi.org/10.1016/j.saa.2024.124659Test; https://pubmed.ncbi.nlm.nih.gov/38943759Test

الإتاحة: https://doi.org/10.1016/j.saa.2024.124659Test
https://pubmed.ncbi.nlm.nih.gov/38943759Test

View record in BASE

8

دورية أكاديمية

Survival of Nutrient-Starved Diatoms Under Ocean Acidification: Perspective from Nutrient Sensing, Cadmium Detection, and Nitrogen Assimilation

المؤلفون: Zhang, Zhen, Pan, Ke, Liu, Hongbin

مصطلحات موضوعية: Diatoms, Nitrogen assimilation, Nutrient sensing, Ocean acidification, Pollutant detection

العلاقة: https://repository.hkust.edu.hk/ir/Record/1783.1-134790Test; Bulletin of Environmental Contamination and Toxicology, v. 112, (1), January 2024, article number 21; https://doi.org/10.1007/s00128-023-03849-8Test; http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0007-4861&rft.volume=112&rft.issue=1&rft.date=2024&rft.spage=&rft.aulast=Zhang&rft.aufirst=Zhen&rft.atitle=Survival+of+Nutrient-Starved+Diatoms+Under+Ocean+Acidification%3A+Perspective+from+Nutrient+Sensing,+CadmiumTest+Detection,+and+Nitrogen+Assimilation&rft.title=Bulletin+of+Environmental+Contamination+and+Toxicology; http://www.scopus.com/record/display.url?eid=2-s2.0-85180616115&origin=inwardTest; http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=001131531400002Test

الإتاحة: https://doi.org/10.1007/s00128-023-03849-8Test
https://repository.hkust.edu.hk/ir/Record/1783.1-134790Test
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0007-4861&rft.volume=112&rft.issue=1&rft.date=2024&rft.spage=&rft.aulast=Zhang&rft.aufirst=Zhen&rft.atitle=Survival+of+Nutrient-Starved+Diatoms+Under+Ocean+Acidification%3A+Perspective+from+Nutrient+Sensing,+CadmiumTest+Detection,+and+Nitrogen+Assimilation&rft.title=Bulletin+of+Environmental+Contamination+and+Toxicology
http://www.scopus.com/record/display.url?eid=2-s2.0-85180616115&origin=inwardTest
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=001131531400002Test

View record in BASE

9

دورية أكاديمية

A deep learning approach to organic pollutants classification using voltammetry

المؤلفون: Mario Molinara, Rocco Cancelliere, Alessio Di Tinno, Luigi Ferrigno, Mikhail Shuba, Polina Kuzhir, Antonio Maffucci, Laura Micheli

المساهمون: Molinara, M, Cancelliere, R, Di Tinno, A, Ferrigno, L, Shuba, M, Kuzhir, P, Maffucci, A, Micheli, L

مصطلحات موضوعية: carbon nanotube, convolutional neural network, cyclic voltammetry, pollutant detection, screen-printed electrode, Hydroquinone, Water, Benzoquinone, Nanotubes, Carbon, Deep Learning, Environmental Pollutants, Settore CHIM/01 - CHIMICA ANALITICA, Settore ING-IND/01 - ARCHITETTURA NAVALE

العلاقة: info:eu-repo/semantics/altIdentifier/pmid/36298383; info:eu-repo/semantics/altIdentifier/wos/WOS:000873710100001; volume:22; issue:20; numberofpages:16; journal:SENSORS; info:eu-repo/grantAgreement/EC/H2020/823878; https://hdl.handle.net/2108/308275Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85140648052

الإتاحة: https://doi.org/10.3390/s22208032Test
https://hdl.handle.net/2108/308275Test

View record in BASE

10

دورية أكاديمية

A Deep Learning Approach to Organic Pollutants Classification Using Voltammetry

المؤلفون: Molinara, Mario, Cancelliere, Rocco, Di Tinno, Alessio, Ferrigno, Luigi, Shuba, Mikhail, Kuzhir, Polina, Maffucci, Antonio, Micheli, Laura

المساهمون: Molinara, Mario, Cancelliere, Rocco, Di Tinno, Alessio, Ferrigno, Luigi, Shuba, Mikhail, Kuzhir, Polina, Maffucci, Antonio, Micheli, Laura

مصطلحات موضوعية: carbon nanotube, convolutional neural network, cyclic voltammetry, pollutant detection, screen-printed electrode, Hydroquinone, Water, Benzoquinone, Nanotubes, Carbon, Deep Learning, Environmental Pollutants

العلاقة: info:eu-repo/semantics/altIdentifier/pmid/36298383; info:eu-repo/semantics/altIdentifier/wos/000873710100001; volume:22; issue:20; journal:SENSORS; info:eu-repo/grantAgreement/EC/H2020/823878; https://hdl.handle.net/11580/94501Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85140648052

الإتاحة: https://doi.org/10.3390/s22208032Test
https://hdl.handle.net/11580/94501Test

View record in BASE

تنقيح النتائج