Development of fluorescence chemo sensor for selective histamine determination in spiked human plasma samples

Alqahtani, Ali; Alqahtani, Taha; Abdelazim, Ahmed H.

doi:10.1016/j.saa.2023.123711

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…As a result, these models can remove errors caused by spectrally active components that are not part of the calibration while maintaining the qualitative and quantitative advantages of CLS and PLS models, respectively. For example, these algorithms have been applied recently to resolve the spectral overlap of three antiretroviral drugs, namely, dolutegravir, lamivudine, and abacavir, based on their UV absorption spectra with high performance and predictabilities, making them powerful tools for determining complex samples simultaneously [27].…”

Section: Introductionmentioning

confidence: 99%

Determination of valsartan and pitavastatin using synchronous spectrofluorimetry and augmented least squares chemometric models: A comparative study with greenness and blueness assessment

Almalki,

Abduljabbar,

Alzhrani

et al. 2024

Luminescence

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Hypertension and hyperlipidemia are two common conditions that require effective management to reduce the risk of cardiovascular diseases. Among the medications commonly used for the treatment of these conditions, valsartan and pitavastatin have shown significant efficacy in lowering blood pressure and cholesterol levels, respectively. In this study, synchronous spectrofluorimetry coupled to chemometric analysis tools, specifically concentration residual augmented classical least squares (CRACLS) and spectral residual augmented classical least squares (SRACLS), was employed for the determination of valsartan and pitavastatin simultaneously. The developed models exhibited excellent predictive performance with relative root mean square error of prediction (RRMSEP) of 2.253 and 2.1381 for valsartan and pitavastatin, respectively. Hence, these models were successfully applied to the analysis of synthetic samples and commercial formulations as well as plasma samples with high accuracy and precision. Besides, the greenness and blueness profiles of the determined samples were also evaluated to assess their environmental impact and analytical practicability. The results demonstrated excellent greenness and blueness scores with AGREE score of 0.7 and BAGI score of 75 posing the proposed method as reliable and sensitive approach for the determination of valsartan and pitavastatin with potential applications in pharmaceutical quality control, bioanalytical studies, and therapeutic drug monitoring.

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Section: Introductionmentioning

confidence: 99%