Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry
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...
| Principais autores: | , , , |
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| Formato: | Artigo |
| Publicado em: |
The Royal Society
2018
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| Assuntos: |
| _version_ | 1825721650412257280 |
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| author | Mohd, Noraini Zain, Nur Nadhirah Mohamad Raoov, Muggundha Mohamad, Sharifah |
| author_facet | Mohd, Noraini Zain, Nur Nadhirah Mohamad Raoov, Muggundha Mohamad, Sharifah |
| author_sort | Mohd, Noraini |
| collection | UM |
| description | 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. |
| first_indexed | 2024-03-06T05:53:35Z |
| format | Article |
| id | um.eprints-21239 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:53:35Z |
| publishDate | 2018 |
| publisher | The Royal Society |
| record_format | dspace |
| spelling | um.eprints-212392019-05-15T07:35:19Z http://eprints.um.edu.my/21239/ Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry Mohd, Noraini Zain, Nur Nadhirah Mohamad Raoov, Muggundha Mohamad, Sharifah Q Science (General) QD Chemistry 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. The Royal Society 2018 Article PeerReviewed Mohd, Noraini and Zain, Nur Nadhirah Mohamad and Raoov, Muggundha and Mohamad, Sharifah (2018) Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry. Royal Society Open Science, 5 (4). p. 171500. ISSN 2054-5703, DOI https://doi.org/10.1098/rsos.171500 <https://doi.org/10.1098/rsos.171500>. https://doi.org/10.1098/rsos.171500 doi:10.1098/rsos.171500 |
| spellingShingle | Q Science (General) QD Chemistry Mohd, Noraini Zain, Nur Nadhirah Mohamad Raoov, Muggundha Mohamad, Sharifah Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry |
| title | Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry |
| title_full | Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry |
| title_fullStr | Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry |
| title_full_unstemmed | Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry |
| title_short | Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry |
| title_sort | determination of carcinogenic herbicides in milk samples using green non ionic silicone surfactant of cloud point extraction and spectrophotometry |
| topic | Q Science (General) QD Chemistry |
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