This dissertation presents the optimization of an analytical method for the quantification and identification of IGF-1, a biomarker associated with the exogenous administration of growth hormone. The refined method enhances the robustness, practical applicability and allows identification of the component, thereby contributing to the advancement of anti-doping efforts. The societal relevance of this works lies in its direct impact on the integrity of competitive sports. By improving the method, it becomes possible to identify individuals who seek to gain an unfair advantage through prohibited substances, thereby upholding the principles of fair play. Moreover, the development of more reliable detection methods serves as a deterrent not only to athletes but also to coaches and support personnel who may otherwise consider facilitating doping practices. The enforcement of stricter anti-doping measures through scientific innovation promotes a healthier and more ethical sporting environment, protecting clean athletes from being disadvantaged and maintaining public trust in sports institutions. In this context, the optimization of IGF-1 quantification and identification methods represents a critical step toward safeguarding the legitimacy of athletic competition and reinforcing societal values of fairness, responsibility, and respect for the rules. Subsequently, the conducted research has contributed to advancements in green science. The enhanced method robustness, potential for multiple injections, reduced mobile phase spillage and decreased risk of pellet transfer, minimize the likelihood of clogging in the LC-MS system and additionally, consumables are saved. As consumables are saved, money is saved, and investments can be made in other doping analyses.