Journal of Chromatography A最新文献

{"title":"Similarity and dissimilarity measures for HPLC fingerprints in quality control of herbal extracts - Case study of sage adulteration by olive, hazelnut, and cistus leaves.","authors":"Nina Soldat, Filip Andrić","doi":"10.1016/j.chroma.2026.467553","DOIUrl":"https://doi.org/10.1016/j.chroma.2026.467553","url":null,"abstract":"<p><p>Quality control of herbal products, whether medicines or spices, requires the continual development of robust analytical frameworks. Chromatographic fingerprinting, while providing comprehensive chemical information, is frequently used in similarity analysis for comparison with reference chromatograms and building reliable classifiers. However, selecting optimal similarity or distance measures and understanding the impact of signal preprocessing on such classification remains challenging. This study evaluates four similarity measures: congruence (CNG), Pearson (PEA), Spearman (SPE), and Kendall (KND) correlation coefficients, and three distances: Euclidean (EUC), Manhattan (MNH), and Chebyshev (CHE), applied to 115 HPLC profiles of sage samples and samples adulterated with cistus (CS), hazelnut (HZ), and olive leaves (OL) as a model system. Measures were assessed across different adulteration levels (5-100%) and chromatographic signal preprocessing in two ways: a) in the context of their behavior in a consensus comparison using the sum of ranking differences (SRD), and b) according to their classification performance. SRD analysis revealed that CNG and PEA are closest to the consensus, while non-parametric measures, such as SPE, are the most resilient to preprocessing. However, multi-factor ANOVA demonstrated that correlation-optimized warping (COW) and standard normal variate (SNV) of HPLC signals increase the misclassification rates (MR) of several similarity and distance measures at low adulteration levels (5-20%). Crucially, CHE behaved as an SRD outlier while demonstrating the highest discriminatory power for all adulterants, even at low adulteration levels (5-10%), across both signal preprocessing methods. For highly overlapping fingerprints, such as those adulterated with OL or HZ samples, rank-based measures (SPE and KND) applied directly to untreated signals yielded the lowest misclassification rate (21.43%). Therefore, targeted screening workflow using CHE or non-parametric similarity measures provides the most efficient and sensitive quality control framework.</p>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1789 ","pages":"467553"},"PeriodicalIF":4.0,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149222951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CCC and HPLC enrichment and GC-MS databasing of more than 20 furan fatty acids (FuFAs) from two fish oil ethyl ester fractions","authors":"Vanessa Bauer,&nbsp;Jeremias Vollmer,&nbsp;Felix Rüttler,&nbsp;Walter Vetter","doi":"10.1016/j.chroma.2026.467543","DOIUrl":"10.1016/j.chroma.2026.467543","url":null,"abstract":"<div><div>Furan fatty acids (FuFAs) are an important family of fatty acids with health-promoting effects, which are especially present in marine sources but also found in other food categories, albeit only at low amounts. Hence, only six or fewer FuFAs were regularly measured in samples. However, some studies, carried out with great effort, demonstrated the existence of many more (uncommon) FuFAs (in total 42). To facilitate the GC-MS analysis of such rarely reported compounds, the present work focused on enriching and databasing as many FuFAs as possible. First, gram-amounts of two fish oil ethyl ester fractions, one rich in docosahexaenoic ethyl ester (DHA-EE oil) and one in eicosapentaenoic ethyl ester (EPA-EE oil), were hydrogenated, followed by urea complexation. The supernatant solutions rich in FuFA-EE were fractionated by countercurrent chromatography (CCC). Three CCC fractions with several (minor) FuFA-EE were selected, converted into methyl esters (ME), and further purified with HPLC. GC-MS scan analysis of the HPLC fractions enabled the detection of 20 FuFA-ME, including several rare (previously undetected) ones with even-numbered carboxyalkyl or alkyl chains. The data was used to develop a GC-MS retention time prediction tool for FuFA-ME. Based on only one measured FuFA-ME, the Excel-based method allows an accurate prediction of the GC retention times of 40 D-FuFA-ME with a carboxyalkyl chain of 7⎼14 and an alkyl chain length of 2⎼6 carbon atoms. In the CCC/HPLC fractions, several unsaturated FuFAs were also identified, along with the first proof of one with an isolated double bond in the carboxyalkyl chain.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1789 ","pages":"Article 467543"},"PeriodicalIF":4.0,"publicationDate":"2026-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149203618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AQbD-guided development of a robust and green SI-RP-HPLC method for impurity profiling of an efonidipine hydrochloride ethanolate and chlorthalidone combination, with LC-MS and NMR-based identification of degradation product in efonidipine.","authors":"Pranav S Bang, Vishnu P Choudhari, Vikram S Gharge","doi":"10.1016/j.chroma.2026.467321","DOIUrl":"10.1016/j.chroma.2026.467321","url":null,"abstract":"<p><p>Efonidipine Hydrochloride Ethanolate (EHE) and Chlorthalidone (CTD) are co-formulated for the management of hypertension owing to their complementary pharmacological actions. Ensuring accurate impurity profiling in such combination formulations is vital for maintaining drug stability, safety and regulatory compliance. However, conventional analytical techniques often face challenges related to sustainability and robustness. Reverse Phase High-Performance Liquid Chromatography (RP-HPLC) remains a key analytical approach for impurity determination, yet the integration of Quality by Design (QbD) principles into its development is still evolving. The present study focuses on developing a novel, sustainable RP-HPLC method for impurity profiling of EHE and CTD tablets using a QbD approach and green chemistry. Chromatographic separation was achieved on a Zorbax SB C8 column (150 mm × 4.6 mm, 5 µm). Critical method parameters such as mobile phase composition and pH were systematically optimized through QbD to enhance method robustness. A photolytic degradation product of EHE was identified as Efonidipine Related Compound A, and a plausible photolytic degradation pathway was proposed. A photolytic degradation product was identified in the LC-MS and its structure was confirmed through NMR spectroscopy. The developed green method exhibited excellent resolution, precision and reproducibility across multiple batches, allowing for effective separation and quantification of impurities. This green QbD-optimized, environmentally sustainable RP-HPLC method provides a reliable and scalable solution for impurity profiling in complex pharmaceutical formulations, aligning with modern quality control and regulatory expectations.</p>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1785 ","pages":"467321"},"PeriodicalIF":4.0,"publicationDate":"2026-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148696805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shared-autosampler parallel LC–MS/MS platform for high-throughput multi-analyte quantification in complex matrices","authors":"Shanshan Cai ,&nbsp;Qisheng Zhong ,&nbsp;Jiaqi Liu ,&nbsp;Lisong Chen ,&nbsp;Lingling Shen ,&nbsp;Hongyuan Hao ,&nbsp;Ting Zhou","doi":"10.1016/j.chroma.2026.466885","DOIUrl":"10.1016/j.chroma.2026.466885","url":null,"abstract":"<div><div>Modern analytical tasks increasingly require the simultaneous quantification of large numbers of chemically diverse analytes in complex matrices, which remains challenging for a single LC–MS method. Here, we developed a shared-autosampler parallel LC–MS/MS strategy that enables two fully independent chromatographic methods to be executed sequentially within a single analytical cycle while generating one unified chromatogram-mass spectrum. The system employed two LC pump modules and two columns to form two independent LC pathways, which shared one autosampler and one MS detector for selective MRM acquisition and subsequent signal integration. Integration was performed exclusively at the MS detection and data-processing level, without inter-dimensional coupling or analyte transfer between columns. This avoided the mobile-phase compatibility and dead-volume limitations associated with 2D-LC, enabled modular recombination of chromatographic and MS conditions, and improved analytical throughput without additional MS detector or autosampler hardware. The performance of the strategy was demonstrated in two applications. An acidic/basic dual-method configuration enabled quantitative analysis of 394 emerging contaminants from 14 chemical classes in human serum within 28 min, exhibiting good linearity, limits of quantification not exceeding 0.20 ng/mL for &gt;90 % of analytes, and peak-area RSDs generally below 10 %. A HILIC/RP parallel-column combination achieved simultaneous determination of 27 hypoglycemic agents spanning a log <em>P</em> range of −6.8 to 5.9 in a single 20 min run, reducing analysis time by &gt;50 % compared with standard methods, with good precision and recoveries in spiked food samples. Overall, the shared-autosampler parallel LC–MS/MS strategy provided a flexible and efficient platform for high-throughput multi-analyte quantification in complex matrices.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1774 ","pages":"Article 466885"},"PeriodicalIF":4.0,"publicationDate":"2026-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Untargeted metabolomics and in-house database analysis reveal differences between elephantopus scaber L. and elephantopus tomentosus L.","authors":"Chang-Sheng Gao ,&nbsp;Zhi-Kang Duan ,&nbsp;Mei-Ya Lian,&nbsp;Run-Ze Yu,&nbsp;Ming Bai,&nbsp;Shu-Hui Dong,&nbsp;Shao-Jiang Song","doi":"10.1016/j.chroma.2026.466881","DOIUrl":"10.1016/j.chroma.2026.466881","url":null,"abstract":"<div><div>In China, <em>Elephantopus scaber</em> L. and <em>Elephantopus tomentosus</em> L.<em>,</em> two traditional Chinese medicinal herbs commonly known as \"Ku-di-dan\", are widely used. Moreover, they have demonstrated anti-hepatoma effects and hepatoprotective properties in experimental studies. Nonetheless, according to existing literature, <em>E. scaber</em> and <em>E. tomentosus</em> encompass compounds with similar but notably different chemical structures. Therefore, investigating the differences in secondary metabolites between <em>E. scaber</em> and <em>E. tomentosus</em> and elucidating their distinct anti-hepatocellular carcinoma activities is of great importance. This study employed an integrated approach combining untargeted metabolomics with bioactivity assays to effectively differentiate between the congeneric plant species <em>E. scaber</em> and <em>E. tomentosus</em>. To improve the accuracy of characterizing and identifying key metabolites, an in-house database and data screening methods were employed. The research findings revealed that thirty major secondary metabolites were detected in <em>E. tomentosus</em> and <em>E. scaber</em> extracts through untargeted metabolomics and data screening. Subsequently, eight significant differential metabolites were identified through multivariate statistical analyses. Thereafter, twelve compounds were isolated from these two plants and evaluated for their anti-hepatocellular activity, revealing that compounds <strong>5</strong>—<strong>8</strong> exhibited significant inhibitory effects on HepG2 and Hep3B cells. Consistent results were also observed in the tests conducted on the crude extracts of both <em>E. scaber</em> and <em>E. tomentosus</em>. This study demonstrates that <em>E. scaber</em> and <em>E. tomentosus</em> exhibit distinct secondary metabolite profiles and differential anti-hepatocellular carcinoma activities.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1774 ","pages":"Article 466881"},"PeriodicalIF":4.0,"publicationDate":"2026-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computer vision–based augmented visualisation for coffee origins identitation using comprehensive two-dimensional gas chromatography","authors":"Giorgio Felizzato ,&nbsp;Eloisa Bagnulo ,&nbsp;Giulia Tapparo ,&nbsp;Giorgia Botta ,&nbsp;Qingping Tao ,&nbsp;Stephen E. Reichenbach ,&nbsp;Chiara Cordero ,&nbsp;Luciano Navarini ,&nbsp;Erica Liberto ,&nbsp;Andrea Caratti","doi":"10.1016/j.chroma.2026.466836","DOIUrl":"10.1016/j.chroma.2026.466836","url":null,"abstract":"<div><div>Coffee is a highly complex and variable matrix, with volatile profiles shaped by multiple factors including botanical origin, climatic and soil conditions, post-harvest treatments, and roasting parameters. This variability generates complex chemical patterns, encompassing hundreds of volatile compounds from diverse chemical classes including pyrazines, furans, aldehydes, ketones, and terpenes. The resulting chemical dimensionality poses significant analytical challenges, making the accurate identification of characteristic compounds and reliable discrimination of coffee origins particularly difficult.</div><div>In this study, we applied comprehensive two-dimensional gas chromatography (GC×GC) coupled with computer vision (CV) to address these challenges. The workflow begins with untargeted fingerprinting, capturing all detectable compounds in a feature template. Multiple sample chromatograms are then combined into composite class images, representing the typical chemical features of each origin while minimising individual variability, which enables rapid pairwise comparison of different origins.</div><div>CV-based pairwise comparisons highlight differential peaks, which are integrated into a targeted template for subsequent peak extraction. Multivariate analyses then identify the key discriminant compounds driving origin differentiation. Post-processing strategies, such as ion-specific intensity mapping, further enhance interpretability, enabling visualisation of compositional differences across key chemical families. Overall, this GC×GC–CV workflow provides a robust, rapid, and visually intuitive platform for comprehensive chemical characterisation and origin classification of coffee, integrating untargeted and targeted analyses in a single framework.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1774 ","pages":"Article 466836"},"PeriodicalIF":4.0,"publicationDate":"2026-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147353257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research advances in capillary gel electrophoresis for detecting biomacromolecules","authors":"Wen-Jing Liu ,&nbsp;Ying Zhang ,&nbsp;Qiu-Yang Li ,&nbsp;Rui-Ting Li ,&nbsp;Long Zhao ,&nbsp;Tharcisse Gatera ,&nbsp;Qu-Huan Ma ,&nbsp;Jun-Li Yang ,&nbsp;Xiao-Feng Shi","doi":"10.1016/j.chroma.2026.466850","DOIUrl":"10.1016/j.chroma.2026.466850","url":null,"abstract":"<div><div>Capillary gel electrophoresis (CGE) has been employed for the separation of biomacromolecules for over thirty years. Thanks to advances in gel materials and the ongoing development of electrophoresis instruments, the CGE method has now become one of the recognized gold standards for routine separation and analysis of biomacromolecules. This is due to its superior separation capabilities and the high robustness and reliability of its results. This paper reviews the research progress and applications of CGE in the separation and analysis of biomacromolecules, including proteins, nucleic acids, and polysaccharides, between 2015 and 2025, and offers a prospect on the future development of this technology.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1774 ","pages":"Article 466850"},"PeriodicalIF":4.0,"publicationDate":"2026-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147353293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A local predictive modelling approach for enhanced separation of critical volatile compounds with flow-modulated comprehensive two-dimensional gas chromatography","authors":"Olga Vyviurska ,&nbsp;Rocio Vidal Pellegrino ,&nbsp;František Dugovič ,&nbsp;Dominika Sklenárová ,&nbsp;Ivan Špánik","doi":"10.1016/j.chroma.2026.466886","DOIUrl":"10.1016/j.chroma.2026.466886","url":null,"abstract":"<div><div>In recent years, the application of flow-modulated comprehensive two-dimensional gas chromatography (FM-GC × GC) has significantly increased, particularly for profiling complex food volatilomes. However, the full potential of this technique is often hindered by the complexity of instrumental optimisation, which is critical for achieving high-resolution separation across a wide variety of analytes in diverse samples. This work addresses this challenge by developing a predictive strategy to optimise FM-GC × GC conditions for the separation of a wide variety of volatile compounds. The efficiency of a local model based on peak parameters was tested across four different column setups, monitoring its correlation to the separation of 22 critical coeluting pairs. Using a Doehlert experimental design and a General Linear Model (GLM) approach, robust predictive models (R² &gt; 0.80) were established and validated. Although the predictive models are confined to the tested experimental space, the underlying strategy and observed general behaviours provide a transferable framework for other setups. The use of a multiresponse optimisation strategy coupled to a global resolution metric, the Fraction of Resolved Peaks (FRP), successfully improved the separation of coelutions, particularly for specific column configurations. The effectiveness of this workflow was ultimately demonstrated by its successful application to the complex volatilomes of wine, honey, cascara coffee tea, and masala tea.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1774 ","pages":"Article 466886"},"PeriodicalIF":4.0,"publicationDate":"2026-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Archaea synthesize heterochiral phospholipid membranes as revealed by chiral analysis of archaeols","authors":"Walter Hofmann ,&nbsp;Andrea Palyzová ,&nbsp;Jan Jansa ,&nbsp;Nika Pende ,&nbsp;Simon K.-M.R. Rittmann ,&nbsp;Tomáš Řezanka","doi":"10.1016/j.chroma.2026.466853","DOIUrl":"10.1016/j.chroma.2026.466853","url":null,"abstract":"<div><div>This study comprehensively characterizes structural diversity of archaeol lipids in selected archaeal genera, integrating available genomic information with advanced lipidomic and stereochemical analyzes. Study of genomes from six archaeal genera revealed the presence of key enzymes involved in glycerophosphate biosynthesis, namely glycerol-1-phosphate dehydrogenase and glycerol-3-phosphate dehydrogenase. Their coexistence in some of the studied strains suggests the ability of these organisms to synthesize both enantiomeric forms of glycerol phosphates. Shotgun lipidomic profiling confirmed the presence of saturated and unsaturated archaeols, including extended forms (C20–C25), hydroxyarchaeols, and tetraether lipids, especially in the species <em>Haloferax volcanii, Methanopyrus kandleri,</em> and <em>Sulfolobus acidocaldarius</em>. Using on-line 2D LC-MS/MS, a specific molecular species of archaeol (20:3–25:4-AR) with seven double bonds was identified in <em>H. volcanii</em>, while bis-extended archaeol (C25–C25) was not detected. Chiral HPLC of a commercial archaeol standard resolved four isomers, with the (<em>R</em>)-2,3-di-<em>O</em>-phytanyl-<em>sn</em>-glycerol stereoisomer being the most abundant (&gt; 80 %). In four of our archaeal strains a minor <em>S</em> enantiomer was present at concentrations of 6.8–13.9 % relative to the main <em>R</em> isomer, and its presence coincided with the presence of both glycerol phosphate dehydrogenases in the respective genomes. The distribution of these isomers across the studied strains supports the coexistence of both <em>R</em>- and <em>S</em>- enantiomers of archaeols in some, but not all, archaeal lineages. These findings highlight the stereochemical and structural complexity of archaeal membrane lipids and provide new insights into their biosynthetic diversity.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1774 ","pages":"Article 466853"},"PeriodicalIF":4.0,"publicationDate":"2026-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147372138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chiral derivatization reagents for enantioselective LC-MS/MS analysis of amino acids with analyte-specific fragmentation","authors":"Tatsuya Sakamoto,&nbsp;Kana Ishikura,&nbsp;Mayu Onozato,&nbsp;Takeshi Fukushima","doi":"10.1016/j.chroma.2026.466851","DOIUrl":"10.1016/j.chroma.2026.466851","url":null,"abstract":"<div><div>Accurate enantioselective analysis of amino acids by liquid chromatography-tandem mass spectrometry (LC–MS/MS) remains challenging, as existing derivatization strategies often compromise either chromatographic resolution or structural discrimination in tandem mass spectrometry. In this study, we developed novel chiral derivatization reagents, (<em>R</em>)- and (<em>S</em>)-Oqic, based on a 1,3-oxazinoquinoline-4-one scaffold, for the simultaneous determination of amino acid enantiomers via LC–MS/MS. The reagents reacted rapidly with amino acids under mild basic conditions to form their chiral derivatives, enabling the simultaneous separation of 37 amino acids (18 pairs of amino acid enantiomers and Gly) on a conventional ODS column within 16 min. The resulting derivatives exhibited unique fragmentation patterns, yielding characteristic fragment ions at <em>m</em>/<em>z</em> 190 and [<em>M</em> + H − 171], with intensity ratios dependent on the tagged amino acid, thereby facilitating reliable analyte discrimination. The method was validated and subsequently applied to the analysis of commercially available fermented dairy products, revealing the presence of <span>d</span>-Ala, <span>d</span>-Ser, <span>d</span>-Asp, <span>d</span>-Glu, and <span>d</span>-Arg in yogurt and a probiotic beverage. The detection of sweet-tasting <span>d</span>-amino acids (<span>d</span>-Ala, <span>d</span>-Ser, and <span>d</span>-Arg) suggests their potential contribution to the sensory properties of fermented foods. Overall, the developed Oqic-based method provides a powerful tool for elucidating bacterial metabolism and food flavor profiles.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1774 ","pages":"Article 466851"},"PeriodicalIF":4.0,"publicationDate":"2026-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}