Online 2D-LC Research Articles

Development of a rapid screening method utilizing 2D LC for effect-directed analysis in the identification of environmental toxicants

Effect-directed analysis (EDA) is a crucial tool in environmental toxicology, effectively integrating toxicity testing with chemical analysis. The conventional EDA approach, however, presents challenges such as significant solvent consumption, extended analysis time, labor intensity, and potential contamination risks. In response, we introduce an innovative alternative to the conventional EDA. This method utilizes the MTT bioassay and online two-dimensional liquid chromatography (2D LC) coupled with high-resolution mass spectrometry (HR-MS), significantly reducing the fractionation steps and leveraging the enhanced sensitivity of the bioassay and automated chemical analysis. In the chemical analysis phase, a switching valve interface is employed for comprehensive analysis. We tested the performance of both the conventional and our online 2D LC-based methods using a household product. Both methods identified the same number of toxicants in the sample. Our alternative EDA is 22.5 times faster than the conventional method, fully automated, and substantially reduces solvent consumption. This novel approach offers ease, cost-effectiveness, and represents a paradigm shift in EDA methodologies. By integrating a sensitive bioassay with online 2D LC, it not only enhances efficiency but also addresses the challenges associated with traditional methods, marking a significant advancement in environmental toxicology research.

Two-Dimensional SEC-SEC-UV-MALS-dRI Workflow for Streamlined Analysis and Characterization of Biopharmaceuticals.

The emergence of complex biological modalities in the biopharmaceutical industry entails a significant expansion of the current analytical toolbox to address the need to deploy meaningful and reliable assays at an unprecedented pace. Size exclusion chromatography (SEC) is an industry standard technique for protein separation and analysis. Some constraints of traditional SEC stem from its restricted ability to resolve complex mixtures and notoriously long run times while also requiring multiple offline separation conditions on different pore size columns to cover a wider molecular size distribution. Two-dimensional liquid chromatography (2D-LC) is becoming an important tool not only to increase peak capacity but also to tune selectivity in a single online method. Herein, an online 2D-LC framework in which both dimensions utilize SEC columns with different pore sizes is introduced with a goal to increase throughput for biomolecule separation and characterization. In addition to improving the separation of closely related species, this online 2D SEC-SEC approach also facilitated the rapid analysis of protein-based mixtures of a wide molecular size range in a single online experimental run bypassing time-consuming deployment of different offline SEC methods. By coupling the second dimension with multiangle light scattering (MALS) and differential refractive index (dRI) detectors, absolute molecular weights of the separated species were obtained without the use of calibration curves. As illustrated in this report for protein mixtures and vaccine processes, this workflow can be used in scenarios where rapid development and deployment of SEC assays are warranted, enabling bioprocess monitoring, purity assessment, and characterization.

Characterization and comparison of smokeless powders by on-line two-dimensional liquid chromatography

Smokeless powders (SPs) are one of the most commonly used propellants for ammunition but can also be abused as energetic material in improvised explosive devices (IEDs) such as pipe bombs. After a shooting or explosion, unburnt or partially burnt particulates may be observed which can be used for forensic investigation. SPs comprise mainly nitrocellulose (NC) and additives. Therefore, the characterization of both NC and the additives is of significant forensic importance. Typically, the identification, classification, and chemical profiling of smokeless powders are based exclusively on the analysis of the additives. In this study, information regarding the NC base component was combined with the chemical analysis of the additives using two-dimensional liquid chromatography (2D-LC). The system combines size-exclusion chromatography (SEC) and reversed-phase liquid chromatography (RPLC) in an on-line heart-cut 2D-LC configuration. In the first dimension, the NC is characterized by its molecular-weight distribution (MWD) while being separated from the additives. The additives are then transferred to the second-dimension separation using a novel analyte-transfer system. In the second dimension, the additives are separated to obtain a detailed profile of the low-molecular-mass compounds in the SP. With this approach, the MWD of the NC and the composition of the additives in SP have been obtained within an hour. A discrimination power of 90.53% was obtained when studying exclusively the NC MWD, and 99.47% for the additive profile. This novel combination enables detailed forensic comparison of intact SPs. Additionally, no extensive sample preparation is required, making the developed method less labor intensive.

Strategy for high-throughput identification of protein complexes by array-based multi-dimensional liquid chromatography-mass spectrometry

Comprehensive elucidation of the composition of multiprotein complexes in model organisms is essential to understand conserved biological systems, but large-scale mapping physical association networks is still challenging due to limited throughput of present methods. In this work, a strategy coupling array-based online two-dimensional liquid chromatography (array-based 2D-LC) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) was demonstrated for high throughput and in-depth identification of protein complexes from cultured human HeLa cell extracts. Mixed-bed ion-exchange column was employed as the first dimensional (1stD) separating mode and an array consisting of eight reversed phase columns was developed as the second dimensional (2ndD) mode. Taking advantage of array parallel strategy, this online system showed an 8-fold increase in throughput. After array-based online 2D-LC separation, altogether 256 × 2ndD fractions were collected for further LC-MS/MS analysis. Public databases of protein-protein interaction (PPI) and co-elution curves identified by LC-MS were applied to reconstruct the protein complexes. A rigorous inspection was operated by cataloging the protein complexes into chromatographic fractions to minimize the number of false positives. As result, a total number of 4,436 proteins were identified and 26,092 elution curves were graphed. A network consisting of 47,745 PPIs was established among 2,201 proteins and presented 1,530 putative protein complexes with high confidence. Most of the identified PPIs were linked to diverse biological processes and may reveal further disease mechanism and therapeutic strategy.

Mapping the Separation Landscape in Two-Dimensional Liquid Chromatography: Blueprints for Efficient Analysis and Purification of Pharmaceuticals Enabled by Computer-Assisted Modeling.

Recent developments in two-dimensional liquid chromatography (2D-LC) now make separation and analysis of very complex mixtures achievable. Despite being such a powerful chromatographic tool, current 2D-LC technology requires a series of arduous method development activities poorly suited for a fast-paced industrial environment. Recent introductions of new technologies including active solvent modulation and a support for multicolumn 2D-LC are helping to overcome this stigma. However, many chromatography practitioners believe that the lack of a systematic way to effectively optimize 2D-LC separations is a missing link in securing the viability of 2D-LC as a mainstay for industrial applications. In this work, a computer-assisted modeling approach that dramatically simplifies both offline and online 2D-LC method developments is introduced. Our methodology is based on mapping the separation landscape of pharmaceutically relevant mixtures across both first (1D) and second (2D) dimensions using LC Simulator (ACD/Labs) software. Retention models for 1D and 2D conditions were built using a minimal number of multifactorial modeling experiments (2 × 2 or 3 × 3 parameters: gradient slope, column temperature, and different column and mobile phase combinations). The approach was first applied to online 2D-LC analysis involving achiral and chiral separations of complex mixtures of enantiomeric species. In these experiments, the retention models proved to be quite accurate for both the 1D and 2D separations, with retention time differences between experiments and simulations of less than 3.5%. This software-based concept was also demonstrated for offline 2D-LC purification of drug substances.

Introducing online multicolumn two-dimensional liquid chromatography screening for facile selection of stationary and mobile phase conditions in both dimensions

Baseline separation and analysis of multicomponent mixtures of closely related pharmaceuticals using single column selectivity can often be challenging, requiring the combination of orthogonal stationary and mobile phase methods to monitor all the species and optimize reaction outcomes. In recent years, two-dimensional liquid chromatography (2D-LC) has become a valuable tool for improving peak capacity and selectivity. Though powerful, standard 2D-LC instrumentation and software can often lead to tedious method development and has a requirement for very specific expertise that is poorly suited for a fast-paced industrial environment. In this regard, the introduction of an automated online 2D-LC setup that could screen multiple columns in both dimensions without manual intervention will undeniably serve to streamline column/mobile phase selection and secure the viability of 2D-LC as a mainstay instrument for industrial applications. Herein, we introduce and investigate a multicolumn online 2D-LC approach that simplifies column screening and method development dramatically. This setup incorporates 6-position column selection valve technology whose functionality enables us to combine multiple columns in the first and second dimensions. This strategy in conjunction with diode array detection (DAD) in both dimensions and mass spectrometry (MS) acquisition in the second dimension serves to explore different columns and mobile phases as a framework for screening targeted compounds in multicomponent mixtures without having to perform chromatographic purification. Multiple online heart cutting achiral RPLC – achiral RPLC and achiral RPLC – chiral RPLC coupled to DAD and ESI-MS methods combining several stationary phase selectivity in an automated fashion are successfully applied to the separation and analysis of complex mixtures of drug substances, where in many instances, traditional 1D-ultra-high performance liquid chromatography (UHPLC) fails or delivers sub-optimal results. This automated online multicolumn 2D-LC workflow enables rapid and efficient identification of column/eluent combinations, as well as sample analysis across multiple columns in both dimensions overnight with a single click.

Separation and Identification of Isomeric and Structurally Related Synthetic Cannabinoids Using 2D Liquid Chromatography and High Resolution Mass Spectrometry

Novel psychoactive substances (NPS) are emerging drugs of abuse that are variations of existing compounds intended to cause a CNS psychotropic effect. Some NPS are so comparable in structure and physicochemical properties that they co-elute using traditional single column chromatographic techniques and therefore will not be detected as individual compounds. 2D liquid chromatography (2D-LC) has demonstrated applicability in difficult separations of small molecules and compounds in complex mixtures. It was hypothesized that this technique could also be used to separate co-eluting isomeric and structurally related, non-isomeric NPS, including synthetic cannabinoids (SC). Initial studies assessed several parameters, including column type, mobile phase, analysis time, gradient and flow rate, to optimize a 2D-LC method for separation and analysis of SC. The final comprehensive on-line 2D-LC method employed a Bonus-RP column in the first dimension (1D) coupled with UV detection and a biphenyl column in the second dimension (2D) coupled with QTOF-MS detection in full scan positive mode. To test the utility of the method, three SC mixes were created, each containing five compounds that were unresolvable in a traditional, 1D-LC separation; one mix with isomeric compounds and two with structurally related but non-isomeric compounds. Contour plots of UV absorbance in 1D and MS ion intensity in 2D demonstrated that all components in each mixture were successfully resolved using the 2D-LC separation method. This research serves as proof-of-concept for the application of 2D-LC to the separation of isomeric and structurally related SC. With further optimization and validation, 2D-LC may be a generally useful tool for separation of complex mixtures of NPS.

Elucidation of phosphatidylcholine isomers using two dimensional liquid chromatography coupled in-line with ozonolysis mass spectrometry

In this study, two dimensional (2D) liquid chromatography (LC) was coupled in-line with ozonolysis-mass spectrometry (O3-MS) for the elucidation of phosphatidylcholine (PC) structures in phospholipid extracts. In O3-MS, PC molecules carried by mobile phase pass through a length of gas-permeable tubing surrounded by ozone vapor resulting in oxidative cleavage of double bonds. The characteristic aldehyde products are then directly analyzed by eletrospray ionization (ESI)-MS, allowing assignment of the double bond positions within the PC fatty acyl chains. The on-line 2D-LC method employs hydrophilic interaction chromatography as the first dimension to separate phospholipid classes and reversed phase chromatography in the second dimension to further separate PC molecular species. Thus, by combing the separation power of 2D-LC with in-line O3-MS (2D-LC/O3-MS), PC species in complex mixtures can be identified including the detailed structure of their two fatty acid chains. When the 2D-LC/O3-MS method was applied to a rat liver phospholipid extract, 19 PC molecular species were identified with fatty acid isomers unambiguously assigned.

A novel stop-flow two-dimensional liquid chromatography–mass spectrometry method for lipid analysis

A novel on-line two dimensional liquid chromatography (2D LC) based on stop-flow mode coupled with electrospray ionization mass spectrometry (ESI–MS) method was established to separate lipids in human plasma. Hydrophilic interaction liquid chromatography (HILIC) in the first dimension and reversed-phase liquid chromatography (RP LC) in the second dimension were used to separate the lipids into six fractions based on their polar head groups and further into peaks based on aliphatic chains, respectively. A new stop-flow interface with a trap column and an extra make-up flow was designed to construct this system and trap the components eluted from the first dimension. Moreover, the same length of analytical columns and similar flow rates were used in the first and second dimensions. Therefore, the new stop-flow 2D LC system can avoid the sensitivity decrease caused by the dilution effect, which is the shortcoming of comprehensive 2D LC. Three hundred and seventy-two lipids were identified from plasma extract using this 2D LC coupled with ESI–MS in positive mode, and 88 more lipids were detected than one-dimensional RP LC analysis. Peak capacity of this stop-flow 2D LC was 415, which is similar to that of comprehensive 2D LC. The linearity, repeatability and sensitivity of this method were satisfactory, which demonstrated that this method was also suitable for quantitative analysis. All these results indicated that this on-line 2D LC method is powerful for qualitative and quantitative analysis of complex lipids

On‐line two‐dimensional LC: A rapid and efficient method for the determination of enantiomeric excess in reaction mixtures

A novel LC-based method for the determination of enantiomeric excess (ee) in a sample mixture has been developed by employing on-line 2D LC. The orthogonal separation system is composed of an NH2 column as the first dimension to elute the target chiral compound from the crude mixture and a chiral column as the second dimension to determine the ee of the target chiral product. A series of crude mixtures from asymmetric reactions have been directly analyzed without prepurification. Good reproducibility (intra- and interday precisions were all under 1.33%) and good accuracy (deviations from ee values determined by 1D HPLC were all <1.03%) have been obtained. Compared with the traditional method for the determination of ee, on-line 2D HPLC can be used in real time and holds great potential in the time-saving determination of ee in asymmetric synthesis.

Displacement chromatography as first separating step in online two-dimensional liquid chromatography coupled to mass spectrometry analysis of a complex protein sample—The proteome of neutrophils

Displacement chromatography provides some advantages over elution chromatography such as the opportunity to enrich trace amounts of molecules and to elute molecules in highest concentrations achievable with liquid chromatography. In a previous study we demonstrated that displacement chromatography is a well-suited alternative to gradient elution in an offline two-dimensional (2D-)LC–MS approach for the analysis of proteomes. In this study we present a method for applying displacement chromatography in an online 2D-LC–MS system including a cation exchange (CEX) column and a reversed phase column. We circumvented the problem of determining the sample capacity of the CEX column by repeated injection (pulses) of sample aliquots monitored by an LC–MS analysis of each flow-through fraction of the CEX column. Elution of tryptic peptides from the CEX column was achieved by repeated injection (pulses) of the displacer spermine. Pulsed displacer injections offer the advantage through physical separation of preventing post-column mixing of already separated compounds. As a proof of principle we analyzed the cytosolic proteome of human neutrophils.

Online Comprehensive RPLC × RPLC with Mass Spectrometry Detection for the Analysis of Proteome Samples

LC-MS-based shotgun proteomics relies both on the power of the separation techniques and the sensitivity of detection methods. As a viable alternative to classical approaches in this field, we developed a fully automated, comprehensive 2D LC system, in which RPLC × RPLC was coupled to MS detection, for the first time, and applied for the analysis of tryptic digests obtained from α-casein and dephosphorylated α-casein. The use of a significantly different pH in the two dimensions allowed us to attain high peak capacity, despite the employment of novel identical stationary phases. Furthermore, such a combination addresses compatibility issues, thus allowing straightforward interfacing in online 2D LC configuration, as well as direct linkage to a mass spectrometer. A theoretical peak capacity of ca. 8500 was calculated for the setup, employing four serially coupled C18 columns in the first dimension (600 × 2.1 mm, 2.7 μm d.p.), operated under basic conditions, and 3 cm length of the same stationary phase (30 × 4.6 mm, 2.7 μm d.p. column), under acidic conditions, for fast second dimension analysis.

Recent progress in online, comprehensive two-dimensional high-performance liquid chromatography for non-proteomic applications

Comprehensive two-dimensional HPLC (2DLC) has been used very successfully in proteomics applications for over a decade. Increasingly we are seeing online, comprehensive 2DLC used for non-proteomic applications. This article gives an overview of the state of the art of this technique, with emphasis on current trends in theory and practice that are exciting and hold the most promise for advancing the performance of 2DLC. Specifically, the recently commercialized small, superficially porous packing materials are very well suited to use in the second dimension of online 2DLC where analysis speed is critical and largely dictates the performance of the 2DLC system. Further, the recent development of optimization schemes and associated software that support the use of different second-dimension elution modes in a single 2DLC analysis will improve the flexibility and effectiveness of 2DLC separations. Excluding separations of peptides, proteins, and polymers, 2DLC systems utilizing reversed-phase separation in one dimension, and either normal phase or reversed-phase in the other dimension continue to be the most popular. Although these systems have been applied mostly to complex biological materials, we are beginning to see applications in the analysis of pharmaceutical materials for ingredient purity and degradation profiling. The general lack of robust, easy-to-use commercially available software is arguably the greatest impediment to wider application of 2DLC methods. This situation is improving slowly, however, and at least two commercially available software packages have been described in the peer-reviewed literature. This is an exciting time in the development of online 2DLC.

Generation and Limitations of Peak Capacity in Online Two-Dimensional Liquid Chromatography

The different operating conditions of an online two-dimensional liquid chromatographic separation (2D-LC), such as the length of the column, the linear velocity and the composition of the mobile phase used in the second dimension, its initial organic content if this separation is carried out in gradient elution, the number of fractions of the first column eluent collected, and the analysis time of the first dimension all affect the achievable separation power of 2D-LC online systems. The influences of these factors on the separation performance were investigated, and an equation was derived for the calculation of the achievable peak capacity in online 2D-LC assuming (1) that the option of undersampling the first-dimension separation is acceptable, (2) that the solutes follow linear-solvent-strength behavior, and (3) that all the separations are made in gradient elution. This theoretical discussion shows that (1) highly efficient separations made with online 2D-LC require the second-dimension peaks to be very narrow, (2) the separation power of 2D-LC systems is maximum for an optimum number of fractions collected in the first dimension, (3) higher peak capacities can be achieved by using shorter second-dimension columns and collecting a relatively large number of fractions, (4) the achievable 2D peak capacity is maximum for a certain eluent flow rate and column length of the second-dimension column, and (5) the maximum achievable peak capacity increases with decreasing velocity and initial organic content of the second-dimension eluent. As a consequence, due to the time restriction of the second-dimension gradient time, online 2D-LC schemes cannot realistically afford peak capacities exceeding 10,000, even if they are implemented with exceptionally efficient columns and if long analysis times are accepted.

Optimization strategies for off-line two-dimensional liquid chromatography

A step by step strategy of optimization of comprehensive off-line two-dimensional liquid chromatography (2D-LC) separations is proposed. The goal of an optimization process in the separation sciences is either to achieve a given resolution (a target peak capacity in 2D-LC) within as short a time as possible or to reach the highest possible resolution in a given analysis time. The proposed method takes into account the characteristics of the columns used in the first and the second dimension and the number of fractions of the first dimension eluent that should be collected. The effect of the time spent during the analysis on the second dimension column to carry out necessary tasks that are not the separation itself (called the additional time) on the maximum peak capacity that is achievable was carefully investigated. It was shown that (1) an increase in the peak capacity of the first dimension column combined with the collection of larger volume fractions permits a significant reduction of the time needed to achieve the desired peak capacity; and (2) there is an optimum fraction collection ratio (or number of collected fractions per peak) which yields the target peak capacity in the minimum time. The proposed strategy was used for the optimization of the separation of samples of BSA tryptic digest by an off-line 2D-LC using an SCX ⊗ RP -HPLC method. As a result of this optimization, a peak capacity of 4000 could be achieved in about 5 h with the two columns available. The time needed for the optimized analysis was less than two thirds of the analysis time that would have been needed had the conventional rule of thumb of sample collection in comprehensive on-line 2D-LC (4 samples/peak) been followed.

Approaches to comprehensive multidimensional liquid chromatography systems

This work compares the performance of the three different schemes implementing two-dimensional liquid chromatography (2D-LC) in terms of the peak capacity that they can generate and of the time that they need to complete a two-dimensional analysis. We discuss in detail how time is spent in these two-dimensional liquid chromatography×liquid chromatography (LC×LC) schemes and how to compare them. Keeping constant the characteristics of the first-dimension separation, we systematically varied those of the second-dimension separation and of its coupling to the first-dimension. In the process, five systems were created, based on the principles of the three known implementations of comprehensive 2D-LC. This work demonstrates an original method for the selection of the best comprehensive 2D-LC approach, depending on the desired peak capacity and on time constraints. The decision to use a 2D-LC method arises from the need to achieve a given resolution (i.e., a target peak capacity) within as short a time as possible or to reach the highest possible resolution in a given analysis time. Using the most appropriate schemes, we suggest how it is realistically possible to generate peak capacities ranging from 266 in just over 20min or about 2800 in 2.3h. When the time available for a two-dimensional separation is very short and the desired peak capacity cannot be achieved in 1D-LC, an on-line 2D-LC approach is unquestionably best. However, if a longer analysis time is acceptable, a 10-fold increase in the peak capacity can be obtained at the cost of a mere 7-fold increase in total analysis time.

Fully automated online multi-dimensional protein profiling system for complex mixtures

For high throughput proteome analysis of highly complex protein mixtures, we have constructed a fully automated online system for multi-dimensional protein profiling, which utilizes a combination of two-dimensional liquid chromatography and tandem mass spectrometry (2D-LC–MS–MS), based on our well-established offline system described previously [K. Fujii, T. Nakano, T. Kawamura, F. Usui, Y. Bando, R. Wang, T. Nishimura, J. Proteome Res. 3 (2004) 712]. A two-valve switching system on a programmable auto sample injector is utilized for online two-dimensional chromatography with strong cation-exchange (SCX) and reversed-phase (RP) separations. The SCX separation is carried out during the equilibration of RP chromatography and the entire sequence of analysis was performed under fully automated conditions within 4 h, based on six SCX fractionations, and 40 min running time for the two-dimensional RP chromatography. In order to evaluate its performance in the detection and identification of proteins, digests of six standard proteins and yeast 20S proteasome have been analyzed and their results were compared to those obtained by the one-dimensional reversed-phase chromatography system (1D-LC–MS–MS). The 2D-LC–MS–MS system demonstrated that both the number of peptide fragments detected and the protein coverage had more than doubled. Furthermore, this multi-dimensional protein profiling system was also applied to the human 26S proteasome, which is one of the highly complex protein mixtures. Consequently, 723 peptide fragments were identified as 31 proteasome components, together with other coexisting proteins in the sample. The identification could be comprehensively performed with a 63% sequence coverage on an average, and additionally, with modifications at the N-terminus. These results indicated that the online 2D-LC–MS–MS system being described here is capable of analyzing highly complex protein mixtures in a high throughput manner, and that it would be applicable to dynamic proteomics.