Abstract

Over the years, several single-pill combinations have been produced and utilized as an alternative option for treatment of the signs and symptoms ofPrimary dysmenorrhea. The presence of multiple drugs together poses a challenge for analysts regarding analysis, making it a significant hurdle to overcome. A combination of paracetamol (PAR), caffeine (CAF), and pyrilamine maleate (PYR) is commonly recommended as an over-the-counter triple-action treatment to alleviate mild to moderate premenstrual syndrome symptoms. This study presented two liquid chromatographic methods that simultaneously determine PAR, CAF, and PYR in Midol® Complete caplets along with three officially recognized impurities, namely, p-aminophenol, theophylline, andp-anisaldehyde. The initial approach employed high-performance thin-layer chromatography alongside a densitometric scanning technique. The experimental setup utilized silica gel HPTLC plates as the stationary phase, and ethyl acetate: aqueous ammonium hydroxide (10.0:0.1, v/v) mixture as the developing system. The densitometric scanning was conducted at a wavelength of 210.0 nm. The second approach, developing high-performance liquid chromatographic method coupled with ultraviolet detection. Inertsil ODS-3 C18 column (250 × 4.6 mm, 5 μm) was used to separate the six compounds effectively. For the experimental procedure, an isocratic elution method was chosen with a mobile phase consisting of a mixture of 0.02 M potassium dihydrogen phosphate buffer acidified with o-phosphoric acid (pH 3.0), and methanol (80:20, v/v) at a flow rate of 1.0 mL/min. UV detection was carried out at a wavelength of 210.0 nm. The two proposed methods have been validated in accordance with ICH recommendations. In addition, the suggested HPLC-UV technique was used to track the release profile of the cited drugs during the in-vitro study. The developed methods were assessed and compared for their environmental impact using various greenness evaluation tools. Additionally, the recently introduced RGB12 model was used to study the whiteness features of the suggested methods. The proposed methods yielded desirable outcomes and are sustainable, simple, affordable, and low-cost, which highly recommends their use in quality control labs.

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