Quantitative Applications of ATR-FTIR Spectroscopy with Chemometrics for the Estimation of Amikacin in Amikacin Sulphate Injections

Background Amikacin belongs to the class of aminoglycoside antibiotics used in the treatment of gram-negative bacterial infections. It is resistant to the aminoglycosides modifying enzymes, making it a clinically effective drug in multidrug-resistant infections.Methods In this study, a simple Attenu...

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Main Authors: Chen, Chow Jie, Lokesh, Bontha Venkata Subrahmanya, Akowuah, Gabriel Akyirem
Format: Article
Published: Bentham Science Publishers 2024
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Online Access:http://eprints.um.edu.my/45846/
https://doi.org/10.2174/0115734110278516240129174949
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spelling my.um.eprints.458462024-11-13T03:57:34Z http://eprints.um.edu.my/45846/ Quantitative Applications of ATR-FTIR Spectroscopy with Chemometrics for the Estimation of Amikacin in Amikacin Sulphate Injections Chen, Chow Jie Lokesh, Bontha Venkata Subrahmanya Akowuah, Gabriel Akyirem RM Therapeutics. Pharmacology RS Pharmacy and materia medica Background Amikacin belongs to the class of aminoglycoside antibiotics used in the treatment of gram-negative bacterial infections. It is resistant to the aminoglycosides modifying enzymes, making it a clinically effective drug in multidrug-resistant infections.Methods In this study, a simple Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy was used for the quantification of amikacin in amikacin sulphate injection. The infrared spectra were generated in the spectral range of 4000-667 cm-1. The calibration curve was computed through TQ Analyst Pro edition software, and the partial least square regression analysis found the linearity in the range of 10-60% w/w.Results The best calibration results were obtained in the spectral region from 1040 to 1020 cm-1 with a correlation coefficient (r2) of 1.000. The residual mean standard error (RMSEC) value was 0.00235. The percent relative standard deviation (%RSD) values for intra-day and inter-day precision were less than 8.0. The percent relative error (%RE) values were calculated and found in between the range of 0.52 to 5.60. The percent recovery of the amikacin estimation was 113.09 +/- 4.27(n=3).Conclusion This validated method is considered a green method, which is suitable for the routine analysis of amikacin in amikacin sulphate injections. Bentham Science Publishers 2024 Article PeerReviewed Chen, Chow Jie and Lokesh, Bontha Venkata Subrahmanya and Akowuah, Gabriel Akyirem (2024) Quantitative Applications of ATR-FTIR Spectroscopy with Chemometrics for the Estimation of Amikacin in Amikacin Sulphate Injections. Current Analytical Chemistry, 20 (3). pp. 201-208. ISSN 1573-4110, DOI https://doi.org/10.2174/0115734110278516240129174949 <https://doi.org/10.2174/0115734110278516240129174949>. https://doi.org/10.2174/0115734110278516240129174949 10.2174/0115734110278516240129174949
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic RM Therapeutics. Pharmacology
RS Pharmacy and materia medica
spellingShingle RM Therapeutics. Pharmacology
RS Pharmacy and materia medica
Chen, Chow Jie
Lokesh, Bontha Venkata Subrahmanya
Akowuah, Gabriel Akyirem
Quantitative Applications of ATR-FTIR Spectroscopy with Chemometrics for the Estimation of Amikacin in Amikacin Sulphate Injections
description Background Amikacin belongs to the class of aminoglycoside antibiotics used in the treatment of gram-negative bacterial infections. It is resistant to the aminoglycosides modifying enzymes, making it a clinically effective drug in multidrug-resistant infections.Methods In this study, a simple Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy was used for the quantification of amikacin in amikacin sulphate injection. The infrared spectra were generated in the spectral range of 4000-667 cm-1. The calibration curve was computed through TQ Analyst Pro edition software, and the partial least square regression analysis found the linearity in the range of 10-60% w/w.Results The best calibration results were obtained in the spectral region from 1040 to 1020 cm-1 with a correlation coefficient (r2) of 1.000. The residual mean standard error (RMSEC) value was 0.00235. The percent relative standard deviation (%RSD) values for intra-day and inter-day precision were less than 8.0. The percent relative error (%RE) values were calculated and found in between the range of 0.52 to 5.60. The percent recovery of the amikacin estimation was 113.09 +/- 4.27(n=3).Conclusion This validated method is considered a green method, which is suitable for the routine analysis of amikacin in amikacin sulphate injections.
format Article
author Chen, Chow Jie
Lokesh, Bontha Venkata Subrahmanya
Akowuah, Gabriel Akyirem
author_facet Chen, Chow Jie
Lokesh, Bontha Venkata Subrahmanya
Akowuah, Gabriel Akyirem
author_sort Chen, Chow Jie
title Quantitative Applications of ATR-FTIR Spectroscopy with Chemometrics for the Estimation of Amikacin in Amikacin Sulphate Injections
title_short Quantitative Applications of ATR-FTIR Spectroscopy with Chemometrics for the Estimation of Amikacin in Amikacin Sulphate Injections
title_full Quantitative Applications of ATR-FTIR Spectroscopy with Chemometrics for the Estimation of Amikacin in Amikacin Sulphate Injections
title_fullStr Quantitative Applications of ATR-FTIR Spectroscopy with Chemometrics for the Estimation of Amikacin in Amikacin Sulphate Injections
title_full_unstemmed Quantitative Applications of ATR-FTIR Spectroscopy with Chemometrics for the Estimation of Amikacin in Amikacin Sulphate Injections
title_sort quantitative applications of atr-ftir spectroscopy with chemometrics for the estimation of amikacin in amikacin sulphate injections
publisher Bentham Science Publishers
publishDate 2024
url http://eprints.um.edu.my/45846/
https://doi.org/10.2174/0115734110278516240129174949
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score 13.214268