نوع مقاله : مقاله علمی پژوهشی
عنوان مقاله English
نویسندگان English
L-Glutamine (Gln) and Glycine (Gly) are two amino acids with overlapping retention times in thin-layer chromatography (TLC). This overlap presents a significant analytical challenge, particularly when both compounds are present in the same mixture, as their spots on the TLC plate may not be fully resolved. Here, we used smartphone-based image analysis combined with PLS regression for semi-separated Gln/Gly quantification in TLC. A smartphone captured TLC plates images under consistent lighting conditions, and custom software processed them to generate chromatographic profiles. Calibration curves showed linear responses, with detection limits of 0.007 M and 0.008 M for Gln and Gly, respectively. Despite mobile-phase optimization, complete spot resolution was unachievable. To address this, partial least squares (PLS) regression deconvoluted the merged signals, enabling accurate quantification. The method was validated using a pharmaceutical product, yielding recovery rates of 100.4 ± 1.4% for Gln and 100.6 ± 1.0% for Gly, demonstrating its reliability for complex samples.
کلیدواژهها English
