scholarly journals Magnetic Polyamide Nanocomposites for the Microextraction of Benzophenones from Water Samples

Molecules ◽  
2019 ◽  
Vol 24 (5) ◽  
pp. 953 ◽  
Author(s):  
Hoda Ghambari ◽  
Emilia Reyes-Gallardo ◽  
Rafael Lucena ◽  
Mohammad Saraji ◽  
Soledad Cárdenas

In this article, the influence of the monomers on the extraction efficiency and the effect of the addition of surfactants during the synthesis have also been considered. The sorption capacity of the resulting nanocomposites has been evaluated, in the dispersive micro-solid phase extraction format, by determining that of six benzophenones in water using ultra performance liquid chromatography (UPLC) combined with photodiode array detection. Under the optimum conditions, the limits of detection were in the range of 0.5–4.3 ng/mL and the repeatability, expressed as the relative standard deviation (RSD), varied between 1.5% and 5.6%. The proposed method has been applied for the analysis of real water samples, providing relative recoveries in the interval of 84–105%

1998 ◽  
Vol 81 (1) ◽  
pp. 99-104 ◽  
Author(s):  
Michael S Young

Abstract An analytical procedure was developed for rapid determination of sulfonylurea herbicides in water or soil. Samples were prepared by solid-phase extraction using polymeric sorbents in cartridges and analyzed by liquid chromatography with photodiode array detection. Recoveries were consistent for all sample matrixes tested and were generally >85%, except for tribenuron methyl (75%). Detection limits were <100 ng/L for water samples


1998 ◽  
Vol 81 (5) ◽  
pp. 1037-1042 ◽  
Author(s):  
Miguel Gamón ◽  
Adolfo Saez ◽  
Rosa Pelegrí ◽  
Inmaculada Peris ◽  
Josá G De La Cuadra ◽  
...  

Abstract A liquid chromatographic (LC) method was developed to determine 5 benzoyl ureas—diflubenzuron, hexaflumuron, teflubenzuron, flufenozuron, and lufenuron—in peppers, tomatoes, eggplants, cucumbers, and oranges. Preparation of samples involve extraction with acetone and partitioning into dichloromethane-petroleum ether. A portion of this extract is cleaned up with a solid-phase extraction aminopropyl disposable column. With LC analysis using an RP-8-DB microbore column, acetonitrilewater (70 + 30, v/v) as mobile phase, and photodiode array detection at 254 nm, recovery and repeatability data were collected for the 5 benzoylureas on 4 vegetables and citrus in the range 0.04-2.0 mg/kg. Validated limits of detection and quantitation were 0.01 and 0.04 mg/kg, respectively. The method is reliable for routine analysis of vegetables and fruits


Planta Medica ◽  
2017 ◽  
Vol 84 (08) ◽  
pp. 536-543 ◽  
Author(s):  
Weize Zhang ◽  
Guo Nan ◽  
Hong-Hua Wu ◽  
Miaomiao Jiang ◽  
Tian-Xiang Li ◽  
...  

Abstract Nardostachys jatamansi is a well-documented herbal agent used to treat digestive and neuropsychiatric disorders in oriental medicinal systems. However, few simple, rapid, and comprehensive methods were reported for quality assessment and control of N. jatamansi. Herein, a UPLC with photodiode array detection method was developed for both fingerprint investigation of N. jatamansi and simultaneous quantitative analysis of the six serotonin transporter modulatory constituents in N. jatamansi. For chromatographic fingerprinting, 24 common peaks were selected as characteristic peaks to assess the consistency of N. jatamansi samples from different retail sources. Six of the common peaks (5, 7, 12, and 16 – 18) were identified as desoxo-narchinol A, buddleoside, isonardosinone, nardosinone, kanshone H, and (−)-aristolone, respectively, by phytochemical investigation. Five of the six compounds significantly either enhanced or inhibited serotonin transporter activity, while (−)-aristolone (18) didnʼt show any serotonin transporter activity. In quantitative analysis, the six compounds showed good linearity (r > 0.999) within test ranges. The precision, expressed as relative standard deviation, was in the range of 0.25 – 2.77%, and the recovery of the method was in the range of 92 – 105%. The UPLC-photodiode array detection-based fingerprint analysis and quantitative methods reported here could be used for routine quality control of N. jatamansi.


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