An article Rapid direct analysis of river water and machine learning assisted suspect screening of emerging contaminants in passive sampler extracts WOS:000617018900002 published article about MASS-SPECTROMETRY; TRANSFORMATION PRODUCTS; RETENTION TIMES; WASTE-WATER; QUANTIFICATION; PREDICTION in [Richardson, Alexandra K.; Rapp-Wright, Helena; Sturzenbaum, Stephen; Cowan, David A.; Barron, Leon P.] Kings Coll London, Fac Life Sci & Med, Sch Populat Hlth & Environm Sci, Dept Analyt Environm Sc Forens Sci, 150 Stamford St, London SE1 9NH, England; [Chadha, Marcus] Agilent Technol UK Ltd, 5500 Lakeside, Cheadle SK8 3GR, England; [Rapp-Wright, Helena] Dublin City Univ, Sch Chem Sci, Dublin 9, Ireland; [Mills, Graham A.; Fones, Gary R.] Univ Portsmouth, Fac Sci & Hlth, White Swan Rd, Portsmouth PO1 2DT, Hants, England; [Gravell, Anthony] Swansea Univ, Nat Resources Wales, Faraday Bldg,Singleton Campus, Swansea SA2 8PP, W Glam, Wales; [Neep, David J.] Agilent Technol UK Ltd, Essex Rd, Church Stretton SY6 6AX, England; [Barron, Leon P.] Imperial Coll London, Fac Med, Sch Publ Hlth, Environm Res Grp, 80 Wood Lane, London W12 7TA, England in 2021, Cited 61. Safety of 2,2-Diphenylacetonitrile. The Name is 2,2-Diphenylacetonitrile. Through research, I have a further understanding and discovery of 86-29-3
A novel and rapid approach to characterise the occurrence of contaminants of emerging concern (CECs) in river water is presented using multi-residue targeted analysis and machine learning-assisted in silico suspect screening of passive sampler extracts. Passive samplers (Chemcatcher (R)) configured with hydrophilic-lipophilic balanced (HLB) sorbents were deployed in the Central London region of the tidal River Thames (UK) catchment in winter and summer campaigns in 2018 and 2019. Extracts were analysed by; (a) a rapid 5.5 min direct injection targeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for 164 CECs and (b) a full-scan LC coupled to quadrupole time of flight mass spectrometry (QTOF-MS) method using data-independent acquisition over 15 min. From targeted analysis of grab water samples, a total of 33 pharmaceuticals, illicit drugs, drug metabolites, personal care products and pesticides (including several EU Watch-List chemicals) were identified, and mean concentrations determined at 40 +/- 37 ng L-1. For targeted analysis of passive sampler extracts, 65 unique compounds were detected with differences observed between summer and winter campaigns. For suspect screening, 59 additional compounds were shortlisted based on mass spectral database matching, followed by machine learning-assisted retention time prediction. Many of these included additional pharmaceuticals and pesticides, but also new metabolites and industrial chemicals. The novelty in this approach lies in the convenience of using passive samplers together with machine learning-assisted chemical analysis methods for rapid, time-integrated catchment monitoring of CECs.
Welcome to talk about 86-29-3, If you have any questions, you can contact Richardson, AK; Chadha, M; Rapp-Wright, H; Mills, GA; Fones, GR; Gravell, A; Sturzenbaum, S; Cowan, DA; Neep, DJ; Barron, LP or send Email.. Safety of 2,2-Diphenylacetonitrile
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