Determination of Tyrosine Kinase Inhibitors as Antineoplastic Agents in Pharmaceutical and Biological Matrices: An Overview of Recent Analytical Techniques.

IF 2.5 3区 化学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Edoh Nicodème Gabiam, Nevin Erk, Wiem Bouali, Asena Ayşe Genç
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引用次数: 0

Abstract

Tyrosine kinase inhibitors (TKIs), widely used in cancer therapy, comprise diverse classes of therapeutic agents such as alkylating agents, antimetabolites, mitotic inhibitors, and targeted therapies. Due to their therapeutic significance and toxic effects, accurate determination of these drugs in pharmaceutical formulations, biological fluids, and environmental matrices is crucial. However, challenges arise from their complex structures and matrix interferences. This review highlights recent advancements in analytical techniques for TKIs, focusing on liquid chromatography, gas chromatography, capillary electrophoresis, spectroscopic methods, and electrochemical methods employed over the last decade. Innovations in sample preparation, including solid-phase extraction and molecularly imprinted polymers, have led to improved sensitivity and selectivity. Advanced detection systems like mass spectrometry, electrochemical sensors, and fluorescence techniques are emphasized for trace-level analysis and real-time monitoring. Key challenges, including green method development, matrix effect minimization, and method robustness, are discussed. To overcome these challenges, future directions should include the use of nanomaterials, microfluidic devices, and machine learning to enhance analytical efficiency. This review provides insights into emerging strategies for precise TKIs, supporting therapeutic monitoring, environmental safety, and analytical advancements.

酪氨酸激酶抑制剂在药物和生物基质中抗肿瘤作用的测定:最新分析技术综述。
酪氨酸激酶抑制剂(TKIs)广泛应用于癌症治疗,包括不同类别的治疗剂,如烷基化剂,抗代谢物,有丝分裂抑制剂和靶向治疗。由于它们的治疗意义和毒性作用,在药物制剂、生物液体和环境基质中准确测定这些药物至关重要。然而,由于其复杂的结构和基体的干扰,挑战也随之而来。本文综述了近十年来TKIs分析技术的最新进展,主要包括液相色谱、气相色谱、毛细管电泳、光谱方法和电化学方法。样品制备方面的创新,包括固相萃取和分子印迹聚合物,已经提高了灵敏度和选择性。先进的检测系统,如质谱,电化学传感器,荧光技术强调痕量分析和实时监测。讨论了关键挑战,包括绿色方法开发,矩阵效应最小化和方法鲁棒性。为了克服这些挑战,未来的方向应该包括使用纳米材料、微流体装置和机器学习来提高分析效率。本综述为精确tki的新兴策略提供了见解,支持治疗监测,环境安全性和分析进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chemistry & Biodiversity
Chemistry & Biodiversity 环境科学-化学综合
CiteScore
3.40
自引率
10.30%
发文量
475
审稿时长
2.6 months
期刊介绍: Chemistry & Biodiversity serves as a high-quality publishing forum covering a wide range of biorelevant topics for a truly international audience. This journal publishes both field-specific and interdisciplinary contributions on all aspects of biologically relevant chemistry research in the form of full-length original papers, short communications, invited reviews, and commentaries. It covers all research fields straddling the border between the chemical and biological sciences, with the ultimate goal of broadening our understanding of how nature works at a molecular level. Since 2017, Chemistry & Biodiversity is published in an online-only format.
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