CHROMATOGRAPHIA色谱学
CHROMATOGRAPHIA(英文缩写 CHROMATOGRAPHIA),ISSN 0009-5893,eISSN 1612-1112,中文译名:色谱学 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 2.213 | Q3 |
| 2022 | 1.700 | Q4 |
| 2023 | 1.200 | Q4 |
| 2024 | 1.300 | Q4 |
| 2025 | 1.600 | Q4 |
CHROMATOGRAPHIA 最新收录文献
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1. {"_":"Evaluating Different C Columns for the LC Separation of Δ-THC and Other Related Cannabinoids.","sub":["18"],"sup":["9"]}
1. {"_":"评估用于LC分离Δ-THC及其他相关大麻素的不同C色谱柱.","sub":["18"],"sup":["9"]}PMID:日期:2026-06[中文摘要] 在复杂样品中通过液相色谱法（LC）实现δ-9-四氢大麻酚（Δ-THC）的最佳分离尤为具有挑战性，原因在于其他大麻素类化合物的潜在干扰。在植物样品中已检测到超过100种大麻素类化合物。大麻来源的成品中Δ-THC的分离被认为比植物提取物更易于一次性分析，因为在材料制备过程中酸性大麻素类化合物会转化为其中性形式。然而，合成或半合成大麻素产品的出现，如δ-8-四氢大麻酚（Δ-THC），由于合成副产物的存在导致了更多的色谱干扰。美国国家标准与技术研究院（NIST）化学科学部（CSD）最初采用的液相色谱分离方法在存在这些色谱干扰时无法满足要求。在此背景下，本文所展示的工作探索了使用不同的单体型和聚合型十八烷基硅烷（C）色谱柱通过液相色谱对11种大麻素混合物进行初步分离。这些色谱柱使用标准参考物质869b作为三组分柱选择性测试混合物进行表征，以确定LC C色谱柱被归类为单体型还是聚合型。单体型C色谱柱（NexLeaf C、ACE 3 C和ACE Super C）对11种大麻素提供了更好的分离效果，在对流动相程序进行微调后，可在13分钟内获得基线分离。使用NexLeaf C LC-UV方法，分析了Δ-THC与四种已知色谱干扰物的混合物。大麻酚酸（CBNA）无法与Δ-THC分离；然而，CBNA与Δ-THC的吸收光谱差异显著，使用光电二极管阵列检测可以轻松识别这些大麻素类化合物的共洗脱。当CBNA存在时，可使用本文开发的替代NexLeaf C LC-UV方法对样品进行重新分析，该方法可在60分钟内实现Δ-THC与CBNA的基线分离。这两种LC-UV方法将在NIST CSD通过未来的出版物中的定量比较进一步评估，从而使其能够用于植物和/或大麻来源成品的标准参考物质开发。
[英文摘要] The best separation possible of delta-9-tetrahydrocannabinol (Δ-THC) in complex samples via liquid chromatography (LC) is particularly challenging due to the potential for interference from other cannabinoids. Over 100 cannabinoids have been detected in plant samples. The separation of Δ-THC in -derived finished products was believed to be easier than plant extracts to analyze at one time because the acidic cannabinoids are converted to their neutral cannabinoids during material preparation. However, the emergence of synthetic or semi-synthetic cannabinoid products, such as delta-8-tetrahydrocannabinol (Δ-THC), has led to more chromatographic interferences due to the presence of synthetic by-products. The original LC separation method implemented in the Chemical Sciences Division (CSD) at the National Institute of Standards and Technology (NIST) was not acceptable when these chromatographic interferences were present. Within this context, the work presented here explores initial separation of an 11 cannabinoid mixture using different monomeric and polymeric octadecylsilane (C) columns via liquid chromatography. These columns were characterized using the Standard Reference Material 869b as a three-component column selectivity test mixture to determine if an LC C column is classified as monomeric or polymeric. Monomeric C columns (NexLeaf C, ACE 3 C, and ACE Super C) provided better separations of the 11 cannabinoids, and baseline separations were obtained in less than 13 min after minor adjustments to the mobile phase program. Using the NexLeaf C LC-UV method, mixtures of Δ-THC and four known chromatographic interferences were analyzed. Cannabinolic acid (CBNA) could not be separated from Δ-THC; however, CBNA has drastically different absorbance spectra from Δ-THC, and the co-elution of these cannabinoids can easily be recognized using photodiode array detection. When CBNA is present, the sample can be reanalyzed using an alternate NexLeaf C LC-UV method developed here, which baseline-resolves Δ-THC and CBNA in 60 min. These two LC-UV methods will be further evaluated at NIST CSD through quantitative comparisons in future publications, enabling their use in the development of reference materials for plants and/or -derived finished products.
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2. {"_":"Absolute Molar Mass Determination in Mixed Solvents. 3. Accuracy of ∂/∂ Values Obtained by Assuming 100% SEC Mass Recovery.","i":["n","c"]}
PMID:日期:2025-10-17Accurate values of the specific refractive index increment (∂/∂) are essential to the accurate determination of molar mass averages, distributions, and related macromolecular parameters by, among others, size-based separations with online static light scattering and differential refractive index (DRI) detection. Examined here is the 100% mass recovery method of calculating the ∂/∂ of dilute macromolecular solutions, when employing mixed solvents in a size-based separation (e.g., size-exclusion chromatography or SEC) with DRI detection. This method has been used successfully in the past for determining the ∂/∂ of various polyelectrolytes. It is quicker, generally simpler, and less sample-intensive than its offline, batch-mode DRI counterpart. Whether or not the 100% mass recovery method allows for the necessary solvent equilibration within the immediate vicinity of the polymer chain during a chromatographic run, so as to allow for accurate determination of ∂/∂ in SEC/DRI experiments, is evaluated here. This is done using a set of three narrow-dispersity linear polystyrene standards covering a 40-fold range in molar mass, dissolved in a 25:75 mix of tetrahydrofuran and ,-dimethyl formamide. Results are compared to those previously obtained by the batch-mode method and from calculations involving the accurately known molar masses of the polymers and refractive indices of the solvents. The 100% mass recovery method of obtaining ∂/∂ values, while of great help for determining the ∂/∂ of, e.g., polyelectrolytes, does not appear able to overcome the obstacle of preferential solvation when analyzing macromolecules in a mix of non-isorefractive solvents with dissimilar second virial coefficients.
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3. The Role of Artificial Intelligence and Machine Learning in Polymer Characterization: Emerging Trends and Perspectives.
3. 人工智能和机器学习在聚合物表征中的作用：新兴趋势与展望PMID:日期:2025-04-04The application of artificial intelligence (AI) and machine learning (ML) is rapidly expanding and has begun to make a significant impact on polymer development and characterization. This perspective article explores the current state of AI in this field and highlights areas where its potential remains underutilized. While the optimization of polymer synthesis to achieve desired properties and the classification of polymer types are well-established, opportunities for AI integration in detailed characterization, analytical method development, and data processing remain largely untapped. Greater automation of the analytical laboratory, whether through dedicated algorithms or AI-driven solutions, will enable analytical chemists to focus more on addressing research questions and interpreting results, rather than on method development and routine measurements.
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4. Characterizing Styrene Monomer and Oligomers by SEC/MALS/VISC/DRI.
4. 使用SEC/MALS/VISC/DRI表征苯乙烯单体和低聚物PMID:日期:2024-02Worldwide polystyrene (PS) production in 2020 was approximately 27 million metric tons, distributed among many nations, making it one of the most heavily imported and exported chemicals. Commercially produced PS usually possesses a broad molar mass distribution, often with a substantial oligomeric component. The latter can significantly affect processing and end-use, in addition to having potentially hazardous health effects and to impacting the polymer's export classification by regulatory agencies. Quantitation of the oligomeric region of polymers by size-exclusion chromatography with concentration-sensitive and/or static light scattering detection is complicated by the non-constancy of the specific refractive index increment in this region, which affects the calculated amount (mass fraction) of oligomer in a polymer, molar mass averages, and related conclusions regarding macromolecular properties. Here, a multi-detector SEC approach including differential refractometry, multi-angle static light scattering, and differential viscometry has been applied to determining the of -butyl terminated styrene oligomers at each degree of polymerization from monomer to hexamer, and also of a hexadecamer. Large changes in this parameter from one degree of polymerization to the next are observed, including but not restricted to the fact that the of the monomer is less than half that of PS polymer at identical experimental conditions. As part of this study, the individual effects of injection volume, flow rate, and temperature on chromatographic resolution were examined. Incorporation of the on-line viscometer allowed for accurate determination of the intrinsic viscosity and viscometric radius of the monomer and oligomers.
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5. Development of Hyphenated Techniques and Network Identification Approaches for Biotransformational Evaluation of Promising Antitubercular N-pyrrolyl hydrazide-hydrazone in Isolated Rat Hepatocytes.
5. 用于分离大鼠肝细胞中有前景的抗结核N-吡咯基酰肼-腙生物转化评估的联用技术和网络鉴定方法的开发PMID:日期:2023-05-04Novel, rapid and precise RP-HPLC-DAD method was developed, validated and successfully applied for determination of metabolic changes of ethyl 5-(4-bromophenyl)-1-(3-(2-(2-hydroxybenzylidene)hydrazinyl)-3-oxopropyl)-2-methyl-1-pyrrole-3-carboxylate () in isolated rat hepatocytes. The analytes were detected by a simple DAD detector at 279 nm wavelength. A single-step extraction method was implemented to enable fast purification and extraction from cellular culture, resulting in a complete recovery. Thereafter, the method was adequately transferred to a LC-MS system for identification of unknown products. Additionally, network metabolism evaluation was performed to predict the structures of major metabolites with their isotope mass through BioTransformer 3.0. The data from the LC-MS analysis and the online server were compared for comprehensive identification. The results indicated formation of four metabolic products, obtained through processes of hydrolysis ( and ), hydroxylation in the structure 12b () and O-dealkylation ().
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6. Low-Temperature Cleanup Followed by Dispersive Solid-Phase Extraction for Determination of Nine Polar Plant Growth Regulators in Herbal Matrices Using Liquid Chromatography-Tandem Mass Spectrometry.
PMID:日期:2023-04-13Polar plant growth regulators, used alone or doped in fertilizers, are most effective and widely utilized plant growth regulators (PGRs) in agriculture, which play important roles in mediating the yield and quality of crops and foodstuffs. The application scope has been extended to herbal medicines in the past 2 decades and relevant study is inadequate. The aim of this study is to establish a QuPPe-based extraction method containing low-temperature and -SPE cleanup procedure followed by the detection on a selective multiresidue ultrahigh-performance liquid chromatography - triple quadrupole tandem mass spectrometry (UHPLC-QqQ-MS/MS) in three herbal matrices. This simple, accurate, versatile and robust method was verified according to the validation criteria of the SANTE/12682/2019 guideline document. The analytical range was from 2.5 to 200 μg/L, and the average recoveries were in the range of 64.6-117.8% ( = 6). The optimized method was applied to 135 herbal medicines thereof. Result showed that the detection frequency of chlormequat was the highest in the investigated PGRs, with the positive rate of 15.6%. Improvement of the detection method for polar PGRs will enrich the coverage of PGRs, which is conducive to safeguard public health and ensure drug safety. The online version contains supplementary material available at 10.1007/s10337-023-04254-3.
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7. Gas Chromatography-Mass Spectrometry Technology: Application in the Study of Inflammatory Mechanism in COVID-19 Patients.
7. 气相色谱-质谱联用技术：在COVID-19患者炎症机制研究中的应用PMID:日期:2023-01-25SARS-CoV-2 infection in the human body induces a severe storm of inflammatory factors. However, its specific mechanism is still not clear. Gas chromatography-mass spectrometry (GC-MS) technology is expected to explain the possible mechanism of the disease by detecting differential metabolites. 15 COVID-19 patients and healthy controls were included in this study. Immune indicators such as hs CRP and cytokines were detected to reflect the level of inflammation in patients with COVID-19. The distribution of lymphocytes and subpopulations in peripheral whole blood were detected using flow cytometry to assess the immune function of COVID-19 patients. The expression of differential metabolites in serum was analyzed using GC-MS non-targeted metabolomics. The results showed that hs CRP, IL-5/6/8/10 and IFN-α in the serum of COVID-19 patients increased to varying degrees, and CD3/4/8 T lymphocytes decreased. Additionally, 53 metabolites in the serum of COVID-19 patients were up regulated, 18 metabolites were down regulated, and 8 metabolites remained unchanged. Increased Cholesterol, Lactic Acid and 1-Monopalmitin may be the mechanism that causes excessive inflammation in COVID-19 patients. The increase of D-Allose may be involved in the process of lymphocyte decrease. In conclusion, the significance of our study is to reveal the possible mechanism of inflammatory response in patients with COVID-19 from the perspective of metabolomics. This provided a new idea for the treatment of COVID-19. Graphical Abstract
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8. Identification, Isolation, and Structural Characterization of Novel Forced Degradation Products of Darunavir Using Advanced Analytical Techniques Like UPLC-MS, Prep-HPLC, HRMS, NMR, and FT-IR Spectroscopy.
8. 使用UPLC-MS、Prep-HPLC、HRMS、NMR和FT-IR等先进分析技术鉴定、分离和结构表征达芦那韦的新型强制降解产物PMID:日期:2022-12-10Since the stability of the pharmaceuticals plays a crucial role in efficacy and safety while using them in the treatment of disorders, the evaluation of purity and impurity profiling of pharmaceuticals is of utmost importance using efficient analytical techniques. The present study explains the identification, isolation, and characterization of stress degradation products of the anti-human immunovirus drug Darunavir. The degradation study was performed to evaluate the stability profile of Darunavir in different stress conditions like hydrolytic, oxidative, thermal, and photolytic conditions as per the ICH guidelines. Degradation products were identified using ultra-performance liquid chromatography coupled with mass spectrometry, isolated using semi-preparative high-performance liquid chromatography, and structural characterization by HRMS and H, C NMR (1D, 2D). Darunavir is relatively stable in oxidative, thermal, and photolytic conditions; however, considerable degradation was observed in acid and base hydrolysis. A total of five degradation products were identified and isolated in acid and base degradation. DP-1, DP -2, & DP-3 were observed in acid conditions, whereas in base conditions, along with DP-2, two more DPs, i.e., DP-4 & DP-5, were identified. Among the five DPs, two degradation products, namely : N-(4-(N-(3-amino-2-hydroxy-4-phenylbutyl)-N-isobutylsulfamoyl) phenyl) acetimidamide. & : hexahydrofuro[2,3-b]furan-3-yl(4-((4-acetimidamido-N-isobutylphenyl)sulfonamido)-3-hydroxy-1-phenylbutan-2-yl)carbamate, are novel, remaining degradation products 4-amino-N-(3-amino-2-hydroxy-4-phenylbutyl)-N-isobutylbenzenesulfonamide, : 4-amino-N-(((5S)-4-benzyl-2-oxooxazolidin-5-yl) methyl) -N-isobutyl benzenesulfonamide and : methyl ((3S)-4-((4-amino-N-isobutylphenyl) sulfonamido)-3-hydroxy-1-phenylbutan-2-yl) carbamate are already reported tentatively using a single analytical technique coupled with mass analysis without any evidence from NMR and IR data. Hence, the present study focused on using High-Resolution Mass, 1D, and 2D H, C NMR data for concrete confirmation of structures for degradation products. The online version contains supplementary material available at 10.1007/s10337-022-04226-z.
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9. Easily Operable Quantification Method of 21 Plant-Derived Alkaloids in Human Serum by Automatic Sample Preparation and Liquid Chromatography-Tandem Mass Spectrometry.
9. 通过自动样品制备和液相色谱-串联质谱法可轻松操作的人血清中21种植物源生物碱的定量方法PMID:日期:2022-10-29In this study, we developed an easily operable quantification method for 21 plant-derived alkaloids in human serum by automatic sample preparation and liquid chromatography-tandem mass spectrometry. We designed to perform parallel sample preparation by a developed apparatus, which increased sample throughput. We conducted an automatic sample preparation through de-proteinization with 0.1% formic acid in methanol and achieved recovery rates of 89-107% (2.0-14% RSD) for all targeted analytes, demonstrating its high repeatability. The method validation results were satisfactory as follows: the linearity ( ) of each calibration curve ranged from 0.978 to 1.000; the inter- and intra-day accuracies were 89.0-125% and 82.1-110%, respectively; the inter- and intra-day precisions were below 13% and 10%, respectively. Additionally, the lower limits of detection and quantification were 0.0044-0.047 and 0.013-0.14 ng/mL, respectively. Finally, the developed method was applied to pseudo-protoveratrine A poisoning serum and pseudo-colchicine poisoning serum, which were prepared by diluting acute-poisoning mice serum with human serum. Our method successfully quantitated protoveratrine A (0.15-0.25 ng/mL) and colchicine (4.8-6.0 ng/mL). Thus, our method is essential for prompt clinical treatment and critical care on patient in acute intoxication cases caused by plant-derived alkaloids. The online version contains supplementary material available at 10.1007/s10337-022-04212-5.
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10. Identification, Validation and Standardization of Bioactive Molecules Using UPLC/MS-QToF, UHPLC and HPTLC in Divya-Denguenil-Vati: A Penta-Herbal Formulation for Dengue Fever.
PMID:日期:2022-07-20For the last fifty years, Dengue has been one of the most common mosquito-borne arboviral infections which has spread over the tropical and subtropical world. Divya-Denguenil-Vati (DNV) has been formulated by blending five specific herbs for effective resolution of Dengue fever. In the present study, we aimed to identify, develop, validate, and standardize methods for Divya-Denguenil-Vati (DNV), on UHPLC and HPTLC analytical platforms, with rapid, sensitive, accurate and rugged attributes. At first, 97 phyto-constituents were identified by UPLC/MS-QToF in Divya-Denguenil-Vati. UHPLC method was then developed and validated for simultaneous determination of gallic acid, 5-HMF, protocatechuic acid, magnoflorine, methyl gallate, berberine, rutin, ellagic acid, β-ecdysone and rosmarinic acid in DNV. Four selected markers, gallic acid, rosmarinic acid, magnoflorine and rutin were further developed and validated on HPTLC. Analytical processes were validated as per ICH Q2 (R1) guidelines; and were found linear ( > 0.99), sensitive, precise (%RSD < 5%), and accurate, as indicated by high recovery values (88-105%). The limit of detection and quantification were also established for these phyto-metabolites, with their respective RSDs within 5% limits. Finally, these validated methods were employed to test twenty six different commercial batches of DNV. The quality, reproducibility and consistency of DNV have been well established using these developed and reliable analytical tools. These analytical strategies successfully set a path forward for robust quality evaluation and standardization of Divya-Denguenil-Vati, and other related herbal formulations. The online version contains supplementary material available at 10.1007/s10337-022-04183-7.