Determination of tranexamic acid in various matrices using microwave-assisted derivatization followed by dispersive
Fang-Yi Liao1, Ying-Chi Lin2, Yen-Ling Chen1
1Department of Fragrance and Cosmetic Science, College of Pharmacy, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Abstract:
Tranexamic acid (TA) is widely used to treat medical hemorrhagic conditions and as a whitening agent in cosmetic products. The aim of this study was to develop a micro-analytical method of determining TA in widely varying sample matrices, including pharmaceuticals, cosmetics, extracts of the stratum corneum, human keratinocyte cells, and human plasma. Using dansyl chloride as the derivatizing reagent in the pretreatment reduced the reaction time to within 4min in combined microwave-assisted reaction. To prevent excess dansyl chloride and sample matrices from damaging the column, 4μL chloroform was used to remove excess derivatizing agent and interference through dispersive liquid-liquid microextraction (DLLME) method. After pretreatment, 1μL of sample solution was injected in capillary liquid chromatography coupled with ultraviolet detector (CapLC-UV). By coupling the proposed method with cylinder-sampling method, TA was successfully extracted from the stratum corneum. The calibration curves for the standard solution and human plasma were in the ranges of 0.1-50μM and 5-500μM, respectively. Both calibration curves had correlation coefficients (r(2)) of 0.999. The limits of detection were 0.03pmol in standard solution and 3pmol in plasma. Compared to non-derivatized TA, the use of CapLC-UV for detecting derivatized TA provides a 1000-fold sensitivity improvement.
More Related Videos
07:05Author Spotlight: Eco-Friendly Extraction of Bioactive Compounds Using Polyol-Based Microwave-Assisted Techniques
Published on: August 23, 2024
08:57Sample Extraction and Simultaneous Chromatographic Quantitation of Doxorubicin and Mitomycin C Following Drug Combination Delivery in Nanoparticles to Tumor-bearing Mice
Published on: October 5, 2017
