Determination of Simazine and Atrazine in River Water by Cloud-Point Extraction and High-Performance Liquid Chromatography

Urio, Ricardo de Prá; Masini, Jorge C.

doi:10.1080/00032719.2016.1212203

Cited by 10 publications

(3 citation statements)

References 25 publications

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“… samples surfactant determination linearity (μg l −1 ) LOD (μg l −1 ) LOQ (μg l −1 ) recovery (%) ref. water and soil Triton X-114 HPLC-UV 16–10 000 water: 3.5 soil: 4.0 water: 11.0 soil: 13.0 water: 93–99 soil: 86–94 [ 43 ] river water Triton X-114 HPLC-DAD 1–50 0.1–0.3 0.4–0.9 86–132 [ 8 ] milk Triton X-114 HPLC-UV 50–2000 6.8–11.2 22.6–37.3 71–97 [ 1 ] water, soil and vegetables PEG-6000 HPLC-UV 1–10 000 water: 0.04–5.8 soil: 0.1–1.4 vegetables: 0.1–1.5 n.a. water: 85–91 soil: 84–93 vegetables: 84–92 [ 44 ] food Triton X-100 and CTAB UV–Vis 50–500 11.2–13.3 37.2–44.3...…”

Section: Resultsmentioning

confidence: 99%

“…The surfactant aggregate (a micelle) orients its hydrocarbon tails towards the centre to create a non-polar core. Isolated hydrophobic compounds (a large number of bioactive compounds) present in the aqueous solution are favourably partitioned in the hydrophobic core of micelles [ 8 ]. The use of non-ionic surfactant offers some advantages in the CPE for the extraction of the analyte compared to the toxic organic solvent.…”

Section: Introductionmentioning

confidence: 99%

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Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry

et al. 2018

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A new cloud point methodology was successfully used for the extraction of carcinogenic pesticides in milk samples as a prior step to their determination by spectrophotometry. In this work, non-ionic silicone surfactant, also known as 3-(3-hydroxypropyl-heptatrimethylxyloxane), was chosen as a green extraction solvent because of its structure and properties. The effect of different parameters, such as the type of surfactant, concentration and volume of surfactant, pH, salt, temperature, incubation time and water content on the cloud point extraction of carcinogenic pesticides such as atrazine and propazine, was studied in detail and a set of optimum conditions was established. A good correlation coefficient (R2) in the range of 0.991–0.997 for all calibration curves was obtained. The limit of detection was 1.06 µg l−1 (atrazine) and 1.22 µg l−1 (propazine), and the limit of quantitation was 3.54 µg l−1 (atrazine) and 4.07 µg l−1 (propazine). Satisfactory recoveries in the range of 81–108% were determined in milk samples at 5 and 1000 µg l−1, respectively, with low relative standard deviation, n = 3 of 0.301–7.45% in milk matrices. The proposed method is very convenient, rapid, cost-effective and environmentally friendly for food analysis.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry

et al. 2018

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“…The other works [4,19,26,44,51,61,62,64,65] reduce or replaced toxic reagents / solvents with other chemicals that perform the same function but are less harmful to the operator's health and the environment. De Prá Urio and Masini, 2017 [15] evaluated in their work the presence of two herbicides, Simazine and Atrazine, in rivers. Damasceno et al, 2016 [21] proposed a new method for stipulating alkalinity and total hardness in drinking water, through digital images.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of Brazilian Contribution to the Sustainable Development Goals Through Green Chemistry: A Systemic Review

Filho¹,

Korn²,

Guarieiro³

2020

Blucher Engineering Proceedings

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The growing commitment of Chemistry to the Sustainable Development Goals (SDG) can be expressed through Green Chemistry. This work aims to evaluate the Brazilian contribution to sustainable development through Green Chemistry, in the area of Analytical Chemistry. It was possible to verify a greater number of publications related to the theme for institutions in 8 Brazilian states, with emphasis on São Paulo and Rio Grande do Sul. It was found that all articles evaluated contributed to SDG 12 by proposing analytical methods that reduce the amount of waste generated or propose replacement of toxic reagents / solvents with similar non-harmful ones. It can be concluded that the contribution of Brazilian researchers has been significant in different areas of analytical chemistry, including sample preparation, instrumentation and separation techniques.

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Development of Ultra-sensitive Method for Determination of Trace Atrazine Herbicide in Environmental Water Using Magnetic Graphene Oxide-Based Solid-Phase Extraction Coupled with Dispersive Liquid-Liquid Microextraction Prior to Gas Chromatography-Mass Spectrometry

Zhang

et al. 2018

Water Air Soil Pollut

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Determination of Simazine and Atrazine in River Water by Cloud-Point Extraction and High-Performance Liquid Chromatography

Cited by 10 publications

References 25 publications

Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry

Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry

Evaluation of Brazilian Contribution to the Sustainable Development Goals Through Green Chemistry: A Systemic Review

Development of Ultra-sensitive Method for Determination of Trace Atrazine Herbicide in Environmental Water Using Magnetic Graphene Oxide-Based Solid-Phase Extraction Coupled with Dispersive Liquid-Liquid Microextraction Prior to Gas Chromatography-Mass Spectrometry

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