bims-metlip Biomed News
on Methods and protocols in metabolomics and lipidomics
Issue of 2026–03–08
fifteen papers selected by
Sofia Costa, Matterworks



  1. J Chromatogr B Analyt Technol Biomed Life Sci. 2026 Mar 03. pii: S1570-0232(26)00092-9. [Epub ahead of print]1275 125003
      Sphingosine (SP), dihydro-sphingosine (DSP), and sphingosine 1-phosphate (S1P) are integral metabolites in the sphingolipid pathway. They exhibit intricate and diverse functions in the development of metabolic-associated fatty liver disease (MAFLD). In this study, we developed a highly sensitive and specific analytical approach for the concurrent quantification of these three sphingolipids in human plasma, utilizing ultra-high-performance liquid chromatography (UPLC), in conjunction with tandem mass spectrometry (MS/MS). A stripped biological matrix was generated through optimized activated‑carbon treatment to facilitate more accurate calibration. The sample preparation involved a straightforward protein precipitation method using methanol, followed by concentrating the supernatant and reconstituting it prior to injection. Detection was executed in the multiple reaction monitoring mode with a triple quadrupole mass spectrometer. The chromatographic separation was achieved on a Waters ACQUITY UPLC HSS C18 column employing gradient elution. D-erythro-sphingosine-d7 served as the internal standard. The newly established method conformed to recognized standards for selectivity, linearity, accuracy, precision, recovery, matrix effects, and stability. This technique was effectively applied to quantify the three sphingolipid metabolites in plasma samples collected from patients diagnosed with MAFLD (n = 30), and healthy controls (n = 30). Analysis of the data revealed significant differences between the groups, with the levels of SP, DSP, and S1P considerably elevated in MAFLD patients compared to healthy subjects.
    Keywords:  Human plasma; LC-MS/MS; MAFLD; Sphingolipids
    DOI:  https://doi.org/10.1016/j.jchromb.2026.125003
  2. Anal Methods. 2026 Mar 06.
      Methylated nucleosides (mNSs) excreted in urine are considered biomarkers associated with RNA turnover and disease states such as cancer and can be detected through non-invasive sampling. In this work, we report the development and validation of a sensitive hydrophilic interaction liquid chromatography coupled to tandem mass spectrometry (HILIC-LC-MS/MS) method for the simultaneous quantification of fifteen mNSs and related nucleobases in human urine. Due to the complexity of the biological matrix and the need to quantify low-abundance biomarkers, a sensitive and selective micro-scale solid-phase extraction (µ-SPE) using a tip-on-tip format with ENV+ sorbent is proposed as the most convenient strategy for sample preparation. This approach offers the advantages of rapid extraction, minimal solvent consumption, and simplified sample handling. The method is simple, effective, affordable, reproducible, and easily scalable. Additionally, HILIC-based chromatographic separation enabled effective retention and high resolution. According to international guidelines on endogenous analytes, the proposed method demonstrated excellent linearity (R2 > 0.99), low limits of detection (1-12 µg L-1), and acceptable intra- and inter-day precision (CV < 15%). Recovery values ranged from 85% to 120% across all analytes. This novel platform enables reliable and high-throughput profiling of urinary mNSs and offers strong potential for clinical diagnostics applications and population-based biomonitoring of RNA epigenetic signatures.
    DOI:  https://doi.org/10.1039/d6ay00083e
  3. J Chromatogr B Analyt Technol Biomed Life Sci. 2026 Mar 03. pii: S1570-0232(26)00090-5. [Epub ahead of print]1275 125001
      Therapeutic oligonucleotides (ONs), including antisense-oligonucleotides, small interfering RNA, aptamers, and conjugated modalities, have emerged as an important class of drugs with increasing clinical impact. Unlike small molecules, ONs undergo metabolism primarily through nuclease-mediated cleavage, generating complex profiles of shortened metabolites that often differ by a single nucleotide and may retain pharmacological or toxicological relevance. Comprehensive metabolite identification is therefore essential for understanding ONs pharmacokinetics (PK), tissue exposure, and safety. Liquid chromatography coupled to mass spectrometry (LC-MS) has become the principal analytical platform for ONs metabolite identification. Recent advances in chromatographic separation, high-resolution mass spectrometry, fragmentation strategies, and data processing tools have substantially improved the depth, confidence, and throughput of metabolite characterization. This review provides an overview of ONs biotransformation pathways and critically examines modern LC-MS strategies used for metabolite separation, detection, and structural elucidation. Emphasis is placed on high-resolution MS acquisition approaches, charge-state management, complementary fragmentation techniques, and software-assisted metabolite annotation. Emerging trends and future directions in ONs metabolite analysis are also discussed, with a focus on supporting translational PK and regulatory decision making.
    Keywords:  LC-MS; Metabolite identification; Oligonucleotides; Pharmacokinetics (PK)
    DOI:  https://doi.org/10.1016/j.jchromb.2026.125001
  4. Mol Metab. 2026 Feb 26. pii: S2212-8778(26)00026-8. [Epub ahead of print] 102342
       PURPOSE OF THE RESEARCH: To develop a sensitive, versatile analytical method capable of simultaneously detecting epigenetically relevant metabolites without chemical derivatization. We also aim to establish a stable isotope tracing methodology to track the biosynthesis of key epigenetic donors, S-adenosylmethionine (SAM) and acetyl-coenzyme A (acetyl-CoA), and demonstrate the method's reproducibility and quantitative accuracy through case-control studies that link metabolism to epigenetics.
    BASIC PROCEDURES: After a comprehensive literature review, we selected 42 metabolites based on their roles in epigenetic processes such as methylation and acetylation, and devised a targeted metabolomics approach to extract, detect, and quantify these metabolites (Supplementary table 1 and Figure 1). We then optimized ionization parameters and scan rate using pure standards to maximize metabolite coverage in LC-MS/MS. We chose a biphasic extraction method adapted from Lotti et al., using phosphoric acid (15%) and methyl tert-butyl ether (MTBE) for efficient extraction of a wide range of metabolites, including short-chain fatty acids (SCFAs) and formate, without the need for chemical derivatization. The organic phase was analyzed by GC-MS/MS, while the aqueous phase was subjected to LC-MS/MS using a zwitterionic HILIC column with medronic acid to improve peak shape and retention of charged metabolites. To potentially link metabolism and epigenetic modifications, we implemented a stable isotope tracing methodology to track 13C-labeled glucose, glutamine, or serine into SAM and acetyl-CoA. Our method focuses on measuring isotopomers rather than isotopologues, offering a nuanced understanding of labeled carbon atom fate.
    MAIN FINDINGS: Our method demonstrated high reproducibility and sensitivity, enabling the quantitative analysis of over 30 epigenetically relevant metabolites, including SCFAs, SAM, and acetyl-CoA, in various biological samples. We successfully quantified these metabolites in three case-control studies: (1) liver and gut content from germ-free and conventional mice, revealing significant differences in SCFA levels and other metabolites linked to one-carbon metabolism and energy production. (2) During OSKM reprogramming of mouse embryonic fibroblasts vitamin B12 supplementation enhances cellular reprogramming. Using 13C-serine as a tracer, we observed a time-dependent increase in SAM enrichment, with additive effects from vitamin B12, primarily due to heightened labeling of the +1 isotopomers formate and methyl group. (3) In an isogenic human glioma cell line with the IDH1 R132H mutation, both wild-type and mutant cells predominantly used glucose carbons for acetyl-CoA synthesis. However, while no significant differences were observed in glucose metabolism between WT and mutant cells, we noted increased glutamine consumption in IDH1-R132H cells, evidenced by higher enrichment of the acetyl group in acetyl-CoA.
    NEW AND IMPORTANT ASPECTS OF OUR STUDY: We present an innovative analytical methodology for the simultaneous detection and quantification of over 30 epigenetically relevant metabolites, including short chain fatty acids. Using stable isotope tracing to track the synthesis of S-adenosylmethionine (SAM) and acetyl-Coenzyme A (acetyl-CoA), our method reveals new insights into metabolism linked to epigenetic modifications, including glycolysis, the pentose phosphate pathway, de novo glycine synthesis, and the folate and methionine cycle. Demonstrating practical utility in case-control studies, this approach supports integrative multi-omics strategies to explore the interplay between metabolism and epigenetics across various biological systems and diseases.
    Keywords:  Epigenetics; Mass spectrometry; Metabolism; Metabolomics; Microbiota; Stable isotope labeling
    DOI:  https://doi.org/10.1016/j.molmet.2026.102342
  5. Talanta. 2026 Feb 28. pii: S0039-9140(26)00260-2. [Epub ahead of print]305 129605
      The simultaneous quantification of key metabolites in the central carbon metabolism of biological samples remains challenging. Their high polarity results in low chromatographic retention, and their isomeric forms necessitate high-resolution separation. Moreover, efficient extraction from complex matrices, such as serum, remains a major analytical challenge. We address these challenges via an integrated HILIC-MS/MS strategy for the simultaneous quantification of 35 structurally diverse central carbon metabolites in serum, encompassing a wider range than that previously reported. By employing a systematically optimized chromatographic method with a Z-HILIC column under low-salt conditions, and using methylenediphosphonic acid as an additive in the mobile phase to improve peak shapes and compound responses, this method achieved effective separation of all analytes, including the baseline resolution of 11 critical isomers. To overcome extraction limitations, an EDTA-assisted strategy was implemented to dissociate metabolite-metal ion chelates, ensuring efficient recovery across all metabolite classes. This was coupled with a solid-phase extraction workflow using Oasis PRiME HLB cartridges that enhanced the sample purification efficiency while maintaining satisfactory recovery. The method was rigorously validated, and all analytes demonstrated excellent linearity, accuracy, and precision. To demonstrate its applicability, this method was employed to profile rat serum, successfully quantifying metabolites across a wide concentration range.
    Keywords:  Central carbon metabolism; EDTA-Assisted extraction in serum; HILIC-MS/MS; Isomer separation; Streamlined sample-preparation workflow
    DOI:  https://doi.org/10.1016/j.talanta.2026.129605
  6. Alpha Psychiatry. 2026 Feb;27(1): 38973
       Background: To establish a method for the simultaneous quantification of diazepam (DIA) and its active metabolites, nordazepam (NorD) and oxazepam (OXAZ), and provide a reference range for therapeutic concentrations in patients with alcohol dependence.
    Methods: Simple and direct protein precipitation was used to extract the biological samples. Subsequent separation was performed on an Agilent XDB-C18 column (50 mm × 4.6 mm, 1.8 μm) with a column temperature maintained at 35 °C and a flow rate of 0.5 mL/min via ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The mobile phase consisted of methanol-water containing 5 mM ammonium formate (75:25, v/v). Detection was conducted using electrospray ionization in multiple reaction monitoring modes: m/z 284.6→193.2 for DIA, m/z 270.5→140.1 for NorD, m/z 286.9→241.1 for OXAZ, m/z 289.6→198.2 for DIA-D5, m/z 275.5→140.0 for NorD-D5, and m/z 291.9→246.1 for OXAZ-D5. The linear response range for DIA, NorD, and OXAZ was 1-1500 ng/mL.
    Results: The key parameters of the bioanalytical method were validated: the average extraction recovery was 95%-101% (CV <6%); calibration curves exhibited good linearity over the concentration range (R2 ≥0.99 for all analytes); accuracy was within 85%-115%; and intra-day and inter-day precision were satisfactory (CVs <15%). The concentrations of analytes in 26 routine therapeutic drug monitoring (TDM) samples from patients with alcohol dependence were determined.
    Conclusions: We developed and validated a rapid, simple, and economic UPLC-MS/MS method for the quantification of DIA, NorD, and OXAZ in human serum. The method is well-suited for the determination of serum levels of DIA and its active metabolites in patients with alcohol dependence, and could be further applied to TDM and subsequent studies.
    Keywords:  alcohol dependence; diazepam; nordazepam; oxazepam; ultra-performance liquid chromatography–mass spectrometry
    DOI:  https://doi.org/10.31083/AP38973
  7. Anal Chem. 2026 Mar 03.
      The lipid composition (lipidome) in biological samples is extremely complex, having diverse biofunctions. Quantifying lipidomes with high coverage is vital to understand such functions but challenging due to their levels spanning several orders of magnitude, limited available standards, and poor chromatographic performances for many acidic lipids such as sphingosine-1-phosphate, phosphatidylserines, and phosphatidic acids. Here, we report a reliable method for high-coverage quantitative lipidomics using ultrahigh-performance liquid chromatography and tandem mass spectrometry (UHPLC-MS/MS). By using both pH and ammonium gradients in elution, all lipids, especially acidic ones, had obviously improved LC separation. By using 267 lipid standards in 49 subclasses, we also established quantitative structure-retention relationship models to predict the retention time (tR) with good accuracy (ΔtR < 0.33 min, MRE ∼3.4%) for all lipid subclasses. With UHPLC-MS/MS in multiple-reaction monitoring mode, we subsequently developed a quantitative lipidomics method using three UHPLC conditions to enable coverage of over 21,700 lipids in 190 subclasses with good sensitivity, precision, accuracy and stability. We further confirmed its applicability by quantifying 2375 lipids in seven typical biological matrices including human plasma, urine, and non-small-cell lung cancer cells together with E. coli, Arabidopsis leaves, mouse liver tissue, and feces. This offers a high-coverage quantitative method for understanding molecular phenotypes associated with lipid functions in physiology and pathophysiology.
    DOI:  https://doi.org/10.1021/acs.analchem.5c06487
  8. Tunis Med. 2025 Jun 05. 103(6): 720-724
       AIM: A simple and sensitive High-Performance Liquid Chromatographic (HPLC) method with UV detection is described for the quantitation of risperidone in human plasma, using bisoprolol as internal standard.
    METHODS: After sample alkalinization with 900 µl of NaOH, the test compounds were extracted from plasma using diethylether. The tubes were centrifuged twice and an evaporation to dryness under a gently stream of nitrogen at 50°C (~10 min) was done. 50 μl of the solution was injected into a C18 Nucleosyl analytical column (5 μm, 150×4.6 mm I.D). The mobile phase consisted of phosphate buffer (10 mM, pH 4.9 and 30% acetonitrile, (70:30, v/v), and was delivered at a flowrate of 1.0 ml/min.
    RESULTS: The peaks were detected using a UV detector set at 279 nm and the total time for a chromatographic separation was about 8 min. This new method was validated for the concentration range 5-150 ng/ml. Mean recoveries were 92 % for risperidone. Intra- and inter-day relative standard deviations were less than 15% for our compound, while accuracy, expressed as percent error, ranged from 0.13 to 19 %. The limit of quantitation (LLOQ) was 3.23 ng/ml for the analyte.
    CONCLUSION: The method shows good specificity with respect to commonly prescribed psychotropic drugs.
    Keywords:  HPLC; Pharmacokinetics; Risperidone
    DOI:  https://doi.org/10.62438/tunismed.v103i6.5079
  9. Anal Bioanal Chem. 2026 Mar 06.
      Monitoring inorganic arsenic in groundwater remains a major analytical and public health challenge in regions where access to advanced elemental instrumentation typically used for trace analysis is limited. Although LC-MS/MS platforms are widely available in environmental monitoring laboratories, standardized methods for inorganic arsenic are scarce, and most published approaches require derivatization or complex sample preparation. Here, we developed and validated a simple, derivatization-free LC-MS/MS method for total inorganic arsenic, based on a short oxidative conversion of As(III) to As(V) followed by a 4-min isocratic run on a conventional C18 column using a common mobile phase (methanol:water 10:90 with 0.1% formic acid). The workflow minimizes pretreatment, requiring only formic acid, hydrogen peroxide, and brief heating. The method met international validation criteria, with excellent linearity (R2 ≥ 0.999), LOD 0.08 µg/L, LOQ 0.3 µg/L, accuracy 94-106%, and intra/inter-day precision <6% RSD. Matrix effects were modest (+ 7%), oxidized extracts were stable during refrigeration or frozen storage, and robustness analysis showed little sensitivity to reagent lots, oxidation temperature, or moderate variations in reaction time. Comparison with ICP-MS using 20 groundwater samples showed strong agreement (slope 0.88; R2 0.93; no detectable bias). Application to 44 wells from peri-urban La Plata (Argentina) yielded 1.1-45.4 µg/L As, with 91% exceeding the 10 µg/L guideline. While not intended to replace established elemental methods, this method offers a practical analytical alternative for decentralized monitoring programs. Its compatibility with routine LC-MS/MS workflows enables accessible, high-throughput surveillance of arsenic-affected groundwater in resource-limited regions.
    Keywords:  Argentina; Groundwater; HPLC-MS/MS; ICP-MS comparison; Matrix effect; Method validation; Robustness
    DOI:  https://doi.org/10.1007/s00216-026-06419-z
  10. Talanta. 2026 Feb 23. pii: S0039-9140(26)00237-7. [Epub ahead of print]305 129582
      Drug metabolite detection using metabolomics-based approaches is often challenged by high false-positive rates and the limited availability of authentic reference standards. In this study, we systematically optimized a data processing workflow that integrates a two-dose differential strategy with stable isotope tracing (SIT) and mass shift defect filter (MSDF) to improve the detection and confirmation of drug-related metabolites. Using isotopically labeled (D0/D3) compounds, metabolite features were confirmed based on MS/MS fragmentation profiles and characteristic isotopic mass shifts, providing indirect yet robust evidence for metabolite assignment. A total of 56 sildenafil-related metabolite features were putatively detected following MS/MS-based confirmation. Comparative analysis of three incubation setups revealed that the separated incubation setup consistently yielded the largest number of metabolite features, despite showing a relatively modest improvement in detection rate after MSDF incorporation. Notably, mixing D0- and D3-labeled compounds within the same incubation tube resulted in a marked reduction in metabolite detection, consistent with previous findings and underscoring the importance of experimental design in isotope-assisted metabolomics studies. The effects of key analytical parameters, including MSDF threshold, sample size, and retention time tolerance, were systematically evaluated. An MSDF window with an absolute deviation of <0.12 Da and a retention time tolerance of 0.2 min, with a sample size of three paired samples, were identified as optimal settings that balance detection rate and metabolite coverage. Overall, this work demonstrates a robust and scalable workflow for comprehensive drug metabolite profiling and provides practical guidance for optimizing metabolomics-based metabolite identification strategies in the absence of authentic reference standards.
    Keywords:  Mass defect filtering; Stable isotope tracing; Systematic workflow optimization
    DOI:  https://doi.org/10.1016/j.talanta.2026.129582
  11. Anal Chim Acta. 2026 Apr 15. pii: S0003-2670(26)00157-1. [Epub ahead of print]1395 345207
       BACKGROUND: Cyclic ion mobility spectrometry (cIMS) has emerged as a powerful tool for enhancing the resolution of isomeric and epimeric species that remain unresolved by traditional LC-MS or single-pass ion mobility techniques. In this study, we integrated multipass cIMS into a UPLC-HRMS workflow to address the long-standing challenge of separating epimeric pyrrolizidine alkaloids (PAs), a class of plant-derived toxins of regulatory concern. Four representative PA epimer pairs-lycopsamine/indicine, rinderine/echinatine, rinderine-N-oxide/echinatine-N-oxide, and integerrimine-N-oxide/senecivernine-N-oxide-were subjected to offline high resolution cyclic ion mobility separation.
    RESULTS: Baseline or near-baseline separations were achieved for all PA epimer pairs, with multi pass mode, either in their protonated or sodium adduct forms, and no significant loss of signal intensity was observed at the number of passes applied. Single-pass CCS values were measured and compared with previously reported values obtained using linear IMS, revealing limited resolution for several epimers. In contrast, multipass CCS values were then calculated for each epimer, enabling differentiation in cases where single-pass values were identical. Finally, the optimized cyclic sequences were integrated into a LC-cIMS-HRMS method, targeting specific retention time windows and m/z to introduce an additional dimension of separation. This approach was successfully applied to the analysis of a green tea extract, demonstrating the method's suitability for real food matrices.
    SIGNIFICANCE: This work highlights, for the first time, the integration of multiple targeted multipass cIMS separations within an untargeted LC-HRMS workflow, underscoring its potential to expand separation power and analytical confidence for structurally related small molecules. The proposed workflow is especially valuable for the analysis of complex mixtures where epimeric compounds co-occur, as commonly found in naturally contaminated foods.
    DOI:  https://doi.org/10.1016/j.aca.2026.345207
  12. Drug Metab Rev. 2026 Mar 05. 1-58
      Spironolactone (SPI) is a synthetic aldosterone antagonist steroid used to treat various conditions, including hypertension, heart failure, primary hyperaldosteronism, and androgen-related disorders. SPI undergoes extensive hepatic metabolism via cytochrome P450 to active derivatives, including canrenone. Accurate determination of SPI and derivatives is important for pharmacokinetic profiling, therapeutic drug monitoring, pharmaceutical quality control, and environmental monitoring. However, spiking of analyte concentration, chemical instability, matrix complexity, and low analyte levels, which require more sensitive instrumentation, present challenges for analytical determination. Although several methodologies, including spectrophotometric, chromatographic, and electroanalytical techniques, have been reported in the last thirty years, high-performance liquid chromatography (HPLC) and particularly HPLC coupled with tandem mass spectrometry (LC-MS/MS) is the most robust, sensitive, and flexible of these methods for measuring SPI and its metabolites in various matrices. In addition, several sample-preparation techniques, such as Protein Precipitation (PP), liquid-liquid extraction (LLE), and solid-phase extraction (SPE), have been applied with HPLC or LC-MS/MS to enhance analytical performance by minimizing interferences from the complex matrix. This review critically evaluates measurement methodologies in the literature for SPI, focusing on their development, advantages, and disadvantages, and emerging trends toward rapid, inexpensive, and miniaturized platforms. Based on its analytical performance, reproducibility, and applicability, LC-MS/MS (and HPLC)-based methodology is the most suitable for comprehensive SPI analysis.
    Keywords:  Aldosterone antagonist; Chromatography; Electrochemistry; HPLC; Hypertension; LC–MS/MS; Sample preparation; Spectroscopy; Spironolactone
    DOI:  https://doi.org/10.1080/03602532.2026.2641226
  13. Clin Chem Lab Med. 2026 Mar 02.
       OBJECTIVES: Primary aldosteronism (PA) is a common cause of secondary hypertension. To address the specificity limits of immunoassays, we developed and validated an LC-MS/MS method for urinary aldosterone and tetrahydroaldosterone and established method-matched reference intervals for excretion in 24 h urine.
    METHODS: Urinary aldosterone, tetrahydroaldosterone and their glucuronidated metabolites were extracted in the presence of internal standards using offline solid-phase extraction (SPE), followed by enzymatic hydrolysis to release the glucuronidated fraction. Subsequently, aldosterone and tetrahydroaldosterone were analyzed by online SPE in combination with LC-MS/MS. Reference intervals were established based on 24 h urine samples from 265 individuals participating in the Lifelines Cohort study.
    RESULTS: Intra- and inter-assay imprecision ranged from 2.0-12.3 % for aldosterone, and 1.3-6.3 % for tetrahydroaldosterone. The lower limits of quantification were 0.44 nmol/L and 0.10 nmol/L, respectively. Recoveries ranged from 97-106 %, calibration was linear, with correlation coefficients greater than 0.999, and no carry-over was observed. Total aldosterone concentrations measured by LC-MS/MS were consistently higher than those obtained by radioimmunoassay. In the reference population, 24 h urinary excretion ranged from 5.4-76.7 nmol/24 h for aldosterone and 21.4-269.9 nmol/24 h for tetrahydroaldosterone.
    CONCLUSIONS: This validated LC-MS/MS assay, together with a method-matched normative dataset, enables standardized urinary aldosterone profiling and defines reference intervals that will help improve the interpretability of results in the biochemical diagnosis of PA.
    Keywords:  LC-MS/MS; aldosterone; enzymatic hydrolysis; primary aldosteronism; tetrahydroaldosterone
    DOI:  https://doi.org/10.1515/cclm-2025-1679
  14. Anal Chem. 2026 Mar 02.
      O-glycosylation, an exceptionally complex and heterogeneous post-translational modification, plays pivotal roles in diverse biological and pathological processes, and is a key regulator of biopharmaceutical quality and efficacy. However, the vast structural diversity and the absence of a universal O-glycosidase make simple and reproducible O-glycan analysis a long-standing challenge, especially for low-input samples. Current O-glycan preparation workflows typically require microgram-level starting protein material and involve laborious derivatization and purification steps. Moreover, many O-glycan release methods are prone to "peeling" reactions, leading to glycan degradation and compromised quantitative accuracy. Here, we present a highly efficient One-Pot strategy for simultaneous O-glycan Release and Permethylation, termed OPORP, yielding derivatized glycans compatible with both matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) and widely available reversed-phase liquid chromatography-mass spectrometry (RPLC-MS). Integrated MALDI-MS, OPORP enables comprehensive O-glycan profiling from nanogram-level protein samples within 2 h. Notably, major O-glycans could be detected from as low as 1 ng of fetuin input and as few as 1,000 MCF-7 cells using RPLC-MS. The method also provides low inter- and intra-assay variability (CV < 20%) and good quantitative linearity for low-input samples (R2 ≥ 0.95). With robust quantitative performance, we reveal markedly distinct O-glycan profiles between darbepoetin alfa and a higher-potency novel analog with accuracy. Overall, the simple yet powerful OPORP strategy combines exceptional sensitivity, throughput, and robust quantification, establishing a new methodological benchmark for O-glycan analysis with broad applications.
    DOI:  https://doi.org/10.1021/acs.analchem.5c07679
  15. J Sep Sci. 2026 Mar;49(3): e70388
      Solvent mismatch between the two dimensions is one of the main limitations in two-dimensional liquid chromatography (2D-LC) and presents a significant challenge for method development. Although 2D-LC provides a powerful means to increase peak capacity for oligonucleotides analysis compared to conventional one-dimensional LC, solvent incompatibility remains a major obstacle that discourages broader development of such methods. In this work, we investigate a technical solution that can be easily implemented and that eliminates solvent mismatch effects during 2D-LC analysis of oligonucleotides. This approach is based on the total breakthrough behavior of oligonucleotides, which is a phenomenon that allows the injection of large volumes into the second dimension (2D) without peak distortion. In this work, we showed that under appropriate conditions, oligonucleotides exhibit total breakthrough behavior in HILIC. This behavior in HILIC is particularly advantageous, as the IP-RPLC × HILIC configuration offers improved mass spectrometry (MS) compatibility compared to IP-RPLC or HILIC × IP-RPLC. Assuming an IP-RPLC × HILIC configuration, we systematically investigated the composition of first-dimension (1D) fractions and the 2D-HILIC parameters influencing total breakthrough to identify the key factors promoting this behavior. Our results offer clear guidance for implementing successful IP-RPLC × HILIC conditions that avoid mismatch effects for oligonucleotides analysis while maintaining a high injection volume in the second dimension. This work demonstrates the potential of the total breakthrough strategy for implementing 2D-LC methods with HILIC as the second dimension.
    Keywords:  HILIC; IP‐RPLC × HILIC; LC × LC; online comprehensive 2D‐LC; solvent mismatch; total breakthrough
    DOI:  https://doi.org/10.1002/jssc.70388