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Background: The proposed research study introduces independent concentration extraction (ICE) as a novel UV-Vis spectrophotometric approach. The approach can be used for extracting the concentration of two analytes with severely overlapped spectra from their binary mixtures. ICE is based on spectral extraction platform involving simple smart successive methods that can directly extract the original zero order spectra of the analytes at their characteristic (λ max ). Chlorpheniramine maleate (CPM) and Levocloperastine fendizoate (LCF) are two commonly co-formulated drugs in cough preparations. The combined mixture was used to confirm the validity of the developed ICE tool. Another less green HPTLC was developed for the first time to separate both drugs and help also in confirming the proposed tool., Methods: For the simultaneous determination of CPM and LCF, two ecologically friendly techniques were employed. The first approach encompasses the use of the ICE spectrophotometric method that could be successively applied for extracting the concentration of two analytes with severely overlapped unresolved spectra in their binary mixtures. Other complementary methods aiming at original spectral extraction; including spectrum subtraction (SS) and unity subtraction (US) were also successfully employed to resolve the zero order spectra of the combined drugs with all their characteristic features and peaks. The second technique used, a high-performance TLC-densitometric one, was performed on silica plates with silica plates F254 and a mobile phase with a ratio of 3:3:3:1 by volume of toluene, ethanol, acetone, and ammonia as a developing system at 230 nm., Results: The presented extraction approach was executed without any optimization steps or sample pretreatment for the simultaneous determination of CPM and LCF. The method was found to be valid for their determination within concentration range of 3.0-30.0 μg mL -1 for both drugs. For HPTLC method, the resulting R f values of CPM and LCF were 0.37 and 0.78, within concentration ranges of 0.3-4.0 μg/spot and 0.8-10.0 μg/spot, respectively. Greenness assessment of both developed methodologies showed that the HPTLC method is less green than the spectrophotometric method, yet with comparable sustainability when it comes to the used technique., Conclusion: The procedures were found to be selective, accurate, and precise for analysis of the studied binary mixture. Furthermore, the environmental impact of the introduced methods was assessed using novel greenness metrics, namely AGREE and Green Analytical Procedure Index (GAPI) to prove their ecological safety. In addition, white analytical chemistry (WAC) evaluation metric was employed to ensure the synergy and coherence of analytical, practical, and ecological attributes., (© 2024. The Author(s).)

In the present study, a first validated and green spectrofluorimetric approach for its assessment and evaluation in different matrices was investigated. After using an excitation wavelength of 345 nm, Roxadustat (ROX) demonstrates a highly native fluorescence at an emission of 410 nm. The influences of experimental factors such as pH, diluting solvents, and different organized media were tested, and the most appropriate solvent choice was ethanol. It was confirmed that there was a linear relationship between the concentration of ROX and the relative fluorescence intensity in the range 60.0-1000.0 ng ml -1, with the limit of detection and limit of quantitation, respectively, being 17.0 and 53.0 ng ml -1 . The mean recoveries % [±standard deviation (SD), n = 5] for pharmaceutical preparations were 100.11% ± 2.24%, whereas for plasma samples, they were 100.08 ± 1.08% (±SD, n = 5). The results obtained after the application of four greenness criteria, Analytical Eco-Scale metric, NEMI, GAPI, and AGREE metric, confirmed its eco-friendliness. In addition, the whiteness meter (RGB12) confirmed its level of sustainability. The International Council for Harmonisation (ICH) criteria were used to verify the developed method through the study in both spiked plasma samples and content uniformity evaluation. An appropriate standard for various applications in industry and quality control laboratories was developed., (© 2024 John Wiley & Sons Ltd.)

Objective: To examine the role of first-trimester uterine artery Doppler, serum β-hCG and pregnancy-associated placental protein-A (PAPP-A) in prediction of preeclampsia and IUGR., Methods: A total of 100 pregnant women in the 11-14 weeks' gestation were examined using uterine artery Doppler, serum β-hCG and PAPP-A. All women were followed-up for development of preeclampsia or IUGR., Results: A total of 94 women completed the study of which 7 (7.4%) developed complications. Uterine artery PI and RI were significantly higher whereas serum β-hCG and PAPP-A levels were significantly reduced in patients who developed complications when compared with those who did not. Uterine artery PI had the highest sensitivity (100%) but a low specificity (56% and 45%) in prediction of preeclampsia and IUGR, respectively. Adding PAPP-A to uterine artery PI elevated the specificity into 94.44% and 95.51%, respectively. Combined PI and β-hCG elevated the specificity into 88.89% and 89.89%, respectively., Conclusion: Our study suggests that first-trimester uterine artery impedance, as measured by Doppler ultrasound as well as low serum biomarkers (β-hCG and PAPP-A) can be used for prediction of preeclampsia and IUGR. The most sensitive is uterine artery PI. Adding β-hCG to PI improves specificity in prediction of both preeclampsia and IUGR. Uterine artery PI plus PAPP-A is the best combination for prediction of both preeclampsia and IUGR.