Ibuprofen is a nonsteroidal anti-inflammatory agent (NSAIA) with analgesic and antipyretic properties. Famotidine is a competitive histamine H2-receptor antagonist, is used to treat gastrointestinal disorders such as gastric or duodenal ulcer. The aim of the present research work was to develop accurate and rapid Area under Curve Method to determine Ibuprofen and Famotidine in combined dosage form. The Area under Curve method, wavelength range selected are 259-269 nm for Ibuprofen and 282-292 nm for Famotidine respectively. The developed method was obeyed the Beer's law and was found linearity range between 80-640 μg/ml for IBU and 2-22 μg/ml for Famotidine; while the correlation coefficient were 0.9985 for Ibuprofen and 0.9982 for Famotidine. Parameters such as linearity, accuracy, precision, LOD and LOQ values were used for validation of the methods as per ICH guidelines for both methods. Intra and inter-day precision %RSD values were less than 2%. This method is found suitable for day to day analysis of Ibuprofen and Famotidine in combined dosage form.

Tamoxifen (TAM), a non-steroidal antiestrogen, has revolutionized female breast cancer treatment. The mechanism involves is to compete with 17β-estradiol (E2) at the receptor site and blocking the promotional role of E2 in breast cancer. Tam is a pioneering medicine because of its widespread usage in breast cancer treatment and chemoprevention, as well as research into novel selective estrogen receptor modulators (SERMs). In the vast majority of patients, TAM is cost-effective, life-saving, and free of significant adverse effects. In this context, this review presents several nanoformulations for selectively delivered lower dosages of TAM to breast tumors. Various TAM-containing nanosystems have been effectively created to deliver TAM to particular molecular targets with decreasing harmful effects. Following that, there is a summary of chromatographic techniques to quantify the drug in human biological samples. The quantification of the drug in different biological matrices is the major importance to assist the control of quality, efficacy, and safety.