NDLI: Analysis of 8 Human Pharmaceuticals in Water Samples Using Solid Phase Extraction Followed by Liquid Chromatography Tandem Mass Spectrometry

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Analysis of 8 Human Pharmaceuticals in Water Samples Using Solid Phase Extraction Followed by Liquid Chromatography Tandem Mass Spectrometry

Content Provider	Semantic Scholar
Author	Kusuma, Samuel Budi Wardhana Tarawneh, Ibrahim Kreuzig, Robert
Copyright Year	2018
Abstract	Analytical method has been developed and validated for determining a selection of 8 pharmaceuticals: the anti-epileptic carbamazepine, five analgestic/anti-inflammatory drugs (ibuprofen, naproxen, diclofenac, ketorolac and ketoprofen), two antibiotics (erythromycin and sulfamethoxazole) in surface and wastewater. The method allows simultaneous extraction of the pharmaceuticals compounds by solid-phase extraction (SPE) using the waters oasis hlb at pH 4. The analytes were then identified and quantitatively determined by liquid chromatography – tandem mass spectrometry (lc-ms-ms) using multiple reaction monitoring (mrm). Recoveries were higher than 90 % for all pharmaceuticals. from the resulting calibration curve the regression coefficient was calculated, characterizing the linearity of the calibration function. Regression coefficients are > 0.992 in all cases, indicating a good linearity of the calibration function in this concentration range (5 – 300 μg/l, 5 – 500 μg/l). The instrumental detection limit (IDL) varied between 0.1 and 25.9 pg injected. a Chemistry Department, Semarang State University Kampus Sekaran Gunungpati, Semarang, Indonesia b Department of Allied Health of the Al-Balqa, Applied University, Amman. c Institute of Environmental and Sustainable Chemistry, Technische Universität Braunschweig, Hagenring 30, D-38106 Braunschweig, Germany Corresponding author e-mail address: semmys3_cognac@yahoo.com
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://jcc.undip.ac.id/assets/attachments/JCC9%20-%20content/Proceeding%20content%20rev_Part56.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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