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Green analytical methods have gained a growing interest in the field of pharmaceutical research to reduce impacts on the environment and enhance analysts' health safety. Chloramphenicol (CHL), dexamethasone sodium phosphate (DSP) and tetrahydrozoline HCl (THZ) form an ophthalmic ternary mixture that is co-formulated for conjunctivitis treatment. In the present work, for time saving and higher sensitivity, two green thin-layer chromatography (TLC) methods were developed for the determination of this ophthalmic ternary mixture in the absence or presence of p-nitroacetophenone (PNA), a synthetic precursor of chloramphenicol. In both proposed methods, silica gel 60 F 254 plates were used as the stationary phase. The mobile phase used for method (A) was ethanol-water-ammonia (7.0:2.5:0.5, V/V), while, for method (B), acetonitrilewater-ammonia (10.0:3.0:0.5, V/V) was used as the mobile phase. TLC separation was followed by quantitative determination of the aforementioned drugs at wavelengths 242.0 nm and 220.0 nm. Both methods were validated in compliance with the International Conference on Harmonisation (ICH) guidelines, where both methods were found to be reliable, reproducible, and selective. Statistical comparison of the developed methods was done with a reported high-performance liquid chromatography (HPLC) method where no significant difference was found. Analytical eco-scaling depends on penalty point which was calculated to be 92, 88 and 87 for methods A, B and the reported HPLC, respectively, suggesting that the proposed methods are eco-friendlier with penalty point scoring very high on the scale than the reported one.

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Food safety has come to pass as an essential part of the appropriate production operation to fulfill the definitely negative reactions of consumers and consumer organizations to current crises in the food-animal industry. The goal of this work is to establish simple and accurate potentiometric polyvinyl chloride (PVC) membrane sensors based on cyclodextrin, for rapid in situ detection and quantification of Amprolium HCl (AMP) in different matrices (pharmaceutical preparation, chicken meats, and eggs) with lower detection limits. Molecular modeling was utilized to predict the structure of the inclusion complex formed between AMP and cyclodextrin. α-cyclodextrin based sensor exhibited better performance and displayed a linear dynamic range of 1 × 10−6 to 1 × 10−2 M while β- and γ-cyclodextrin revealed a linear range of 1 × 10−5 to 1 × 10−2 M with Nernstian slopes of 29.7, 27.3, and 26.2 mV decade−1 and detection limits of 5.01 × 10−7, 1.58 × 10−6, and 2.51 × 10−6 M for α-, β-, and γ-cyclodextrin based sensors respectively.