Liquid Microjunction Surface Sampling Probe Research Articles

Storing liquid chromatographic separations on surface energy traps: decoupling the LC and the mass spectrometer.

We report a micro-fractionation device for high performance liquid chromatography-mass spectrometry to archive chromatographic separations on an array of optimized surface energy traps (SETs). The method has the potential to significantly alter nanoflow LC-MS workflow, decoupling separation and analysis. The wetting characteristics of the SETs cause the HPLC eluent stream to spontaneously split into droplet microfractions. The droplet mirofractions are then dried down to enable facile storage and transport of the archived separation. Discontinuously dewetting array parameters were explored to maximize array volume and resolution using a combination of SET design, shape, size, and spacing. Mass spectrometry analysis is performed utilizing a liquid micro-junction surface sampling probe to extract dried analytes from the surface of the SETs followed by electrospray ionisation. A reverse phase separation of pharmaceutical compounds is "recorded" using the micro-fractionation device followed by "reading" the chromatographic trace with a mass spectrometer 24 hours after the separation was performed/archived, demonstrating a true decoupling of LC, and MS. Additionally, we demonstrate the ability to collect microfractions with sub-one-second integration time, approaching the scan time of a mass spectrometer or UV-Vis detector. With further improvements to the device, sub-1-second micro-fractionation may enable seamless reconstruction of archived chromatograms indistinguishable from online LC-MS data, while also providing the benefits of easy storage and transport of archived separations.

Spatiotemporal Analysis of Secondary Metabolites Produced by S.coelicolor Using Automated Sampling Mass Spectrometry

Natural products (NPs) are organic compounds that are synthesized by living organisms such as bacteria. NPs and their derivatives are very useful in the medical field to develop new drugs, particularly new antibiotics which are crucial to combat developing antibiotic resistance. The current research on the secondary metabolites (SMs) produced throughout the growth cycle of bacteria is limited, as the standard procedure is to examine the SM production at the end of the bacteria’s growth cycle. Therefore, there may be many undiscovered SMs which are produced and consumed prior to analysis. A mass spectrometer (MS) can be used to track analytes of interest, such as SMs. When the MS is paired with an ambient ionization technique like the Liquid Micro-Junction Surface Sampling Probe (LMJ-SSP) it works as a minimally invasive approach to track the SMs in real time produced throughout the bacterial growth cycle. This allows for the SMs to be tracked both temporally and spatially without killing the bacteria. The process is automated using the LMJ-SSP mounted to a 3D printer, allowing for a grid-like sampling process to map NPs production. Herein, A 3D-printed growth chamber dubbed the “Washing And Sampling Agar Bacterial Inoculation” (WASABI) Box was designed to resemble a sampling grid for simpler analysis. Another key feature of the WASABI Box are washing ports, containing 70% ethanol, to sterilize the LMJ-SSP and minimize contamination between rows. The SM production of S. coelicolor in the WASABI Box was analyzed from day 4 to 7 of the bacterial growth cycle, where the data was used to generate spatial-temporal heat maps tracking metabolites including Albaflavenone (m/z 219.2), Desferrioxamine B (m/z 561.4), Germicidin B (m/z 183.1), Kalafungin (m/z 301.1), and Streptorubin B (m/z 392.3).

Crown ether dopant to reduce ion suppression and improve detection in the liquid microjunction surface sampling probe.

Sodium and potassium are required in agar media for the growth of some microorganisms (e.g., marine bacteria). However, alkali cations are a significant source of contamination for mass spectrometry causing ion suppression and adduct formation. Conventionally, salts can be removed before mass spectrometric analysis with appropriate and often lengthy sample preparation. The direct mass spectrometric sampling of bacterial colonies grown on agar media seeks to minimize or eliminate sample preparation to improve workflow. However, this may exacerbate ion suppression and contamination since these metal cations will degrade spectral quality and limit the rapid profiling of microbial metabolites. Different approaches are needed to sequester sodium and potassium ions to minimize unwanted background interferences. Herein, we use crown ethers (CEs) in combination with a liquid microjunction surface sampling probe (LMJ-SSP) to directly sample the surface of the bacterial colonies from two marine bacteria species (Pseudoalteromonas rubra DSM6842 and Pseudoalteromonas tunicata DSM 14096). CEs (e.g., 18-crown-6 or 15-crown-5) are added to the carrier solvent of the LMJ-SSP, the chemical noise is reduced, and spectra are easier to interpret. The liquid microjunction formed at the tip of LMJ-SSP was used to directly touch bacterial colonies on agar. The carrier solvent was either methanol (100%) or methanol: H2O (50:49.9%) with or without 0.01% CEs. Information-theoretic measures are employed to investigate qualitative changes between spectra before and after adding CEs. Our work demonstrates the capability of CEs to reduce background interferences within the direct profiling of bacterial colonies from agar plates. The data obtained from both P. rubra DSM6842 and P. tunicata DSM 14096 show that CEs can be used to mitigate the salty background and improve compound detection. Our approach can be implemented in natural product discovery using LMJ-SSP to allow fast and accurate detection of interesting/novel compounds.

Spitting for Science: Non-Invasive Drug Monitoring Through a Modified Liquid Micro Junction-Surface Sampling Probe

The use of saliva as a convenient, non-invasive alternative for therapeutic drug monitoring has become increasingly favorable with the emergence of pharmacokinetic and bioequivalence research providing a link between blood plasma and saliva concentrations. Therapeutic drug monitoring is a practice through which specific drugs are monitored at given time intervals to maintain a constant concentration in the blood. It is only necessary for patients taking drugs with known pharmacokinetic variability, narrow therapeutic indices and potential adverse effects.
 Although the drug concentration in saliva is lower than in plasma, saliva has a complex matrix, consisting of salts, immunoglobins, proteins and more. The polar matrix in the saliva introduces potential interference with the sensitivity of the drug detection through salt suppression.
 In this project, 6 drugs used as anticonvulsants and antidepressants were analysed in artificial saliva using a modified version of the Liquid Micro Junction-Surface Sampling Probe (LMJ-SSP) to maximize the sensitivity of observed signals and minimize the detection limits.
 The main parameter which was targeted for optimizing the extraction and ionization of the drug in the saliva samples was the polarity of the carrier liquid, which continuously flows in the coaxial tube of the LMJ-SSP. Upon analyzing four different carrier liquids, the mixture containing methanol, water and chloroform was determined to provide the best sensitivity. Additionally, the enrichment factors of the peak areas using the chloroform mixture in the modified LMJ-SSP were enhanced by a factor ranging between 2.9 to 31.4, depending on the analyte.
 Overall, the data obtained from this project thus far displays that modifying the polarity by modifying the carrier liquid composition to balance the extraction and ionization during analysis using the modified LMJ-SSP optimizes the sensitivity of the detection.

Competitive, Inhibitory and Mutually Existing Interaction Mapping of Secondary Metabolites in Filamentous Fungi

Natural products are compounds that are produced by living organisms, such as bacteria and fungi. These compounds are essential for advancements in the medical field, such as the discovery of new antibiotics. When living organisms like bacteria and fungi interact with one another, they can be forced to compete for resources to survive (antagonistic) or cooperate (synergistic). It is through these relationships that new metabolites can be produced and subsequently observed. The current research on co-culturing between bacterial and fungal species is limited, thus there are many possible undiscovered metabolites. Therefore, co-culturing of this nature can be analyzed using mass spectrometry for new natural product discovery. While typical methods for microorganism culturing can be applied to co-culturing, alternatively forcing species to interact in an artificially constructed growth chamber can offer interesting insights and changes to the metabolite profile. Herein, a 3D-printed artificial chamber was created to observe the growth and interaction of each species in diverse locations, thus allowing a spatiotemporal map of natural product growth to be generated through spectral analysis. In this work, spectral analysis is conducted using the Liquid Micro-Junction Surface Sampling Probe (LMJ-SSP), which allows for non-destructive sampling of the microorganism interactions. As a result, sampling can be conducted repeatedly at different times in growth development, as well as at diverse locations throughout the chamber. Ultimately, the further exploitation of both the competitive and synergistic relationship of microorganism growth within this chamber will offer novel insights into natural product discovery.

LMJSSP for analysis of prophylactic lubricants, spermicides and residues

DNA evidence in sexual assault cases have proven increasingly difficult to obtain and analyse due to increased condom use. With more interest in alternatives to DNA evidence, prophylactic lubricants, spermicides and residues may be interesting prospects. Current interest in the analysis of prophylactic residues focuses on the evaluation and identification of lubricants and constituents, primarily through gas chromatography or Fourier transform infrared spectroscopy. Though cost-effective methods, extensive sample preparation and destructive modes of analysis remain an area for improvement. As a result, the focus has since shifted to ambient ionization methods that offer adequate sensitivity and reduced sample preparation. The Liquid Microjunction Surface Sampling Probe (LMJSSP) is a versatile ambient ionization source that employs a probe that supports a continuously flushing droplet that extracts analytes when placed in contact with a surface. The analytes are aspirated into the mass spectrometer with a Venturi pressure. In this work we use the LMJSSP to analyse the trace transfer of condom lubricant to different types of fabric (cotton, cotton-spandex, and denim). Furthermore, we examine the sensitivity and storage conditions for the direct analysis method on different swab types (cotton, silicone, and foam). Additionally, Principal Component Analysis (PCA) and Maximally Collapsing Metric Learning (MCML) are utilized for visualization of differentiability of commercially available condom brands including Durex™ and Trojan™, and product subtypes. The results present an interesting multi-disciplinary approach of using a direct liquid extraction ambient ionization technique and machine learning to improve the overall workflow for the analysis of lubricants, swabs and fabrics. Machine learning algorithms were able to differentiate between inherent differences of Durex™ and Trojan™ condoms.

Peptide Oxidation Induced by Liquid-Solid Contact Electrification as Revealed in Liquid Microjunction-Surface Sampling Probe Mass Spectrometry.

Reproducible peptide oxidation was observed using a homebuilt liquid microjunction-surface sampling probe (LMJ-SSP) platform for analyzing peptide standards. Although electrochemical oxidation and corona discharges have previously been associated with analyte oxidation in electrospray ionization (ESI) and ESI-related ambient ionization mass spectrometry (MS) methods, they were unlikely the causes for the peptide oxidation observed in the LMJ-SSP studies. A systematic investigation demonstrated that analyte oxidation was induced during the droplet drying on a solid surface through liquid-solid electrification processes. To minimize unwanted analyte oxidation, the water content in the sample solution should be decreased and the use of hydroxyl-functionalized substrates, such as glass slides, should be avoided. In addition, if water is an essential solvent component, adding an antioxidant, such as ascorbic acid, to the sample solution before droplet evaporation on the solid surface could lower the percentage of analyte oxidation. The present findings apply to all the MS methods that involve drying microliters of sample solution onto a suitable substrate in their sample preparation protocols.

3D printer platform and conductance feedback loop for automated imaging of uneven surfaces by liquid microjunction-surface sampling probe mass spectrometry.

Molecular imaging of samples using mass spectrometric techniques, such as matrix-assisted laser desorption ionization or desorption electrospray ionization, requires the sample surface to be even/flat and sliced into thin sections (c. 10μm). Furthermore, sample preparation steps can alter the analyte composition of the sample. The liquid microjunction-surface sampling probe (LMJ-SSP) is a robust sampling interface that enables surface profiling with minimal sample preparation. In conjunction with a conductance feedback system, the LMJ-SSP can be used to automatically sample uneven specimens. A sampling stage was built with a modified 3D printer where the LMJ-SSP is attached to the printing head. This setup can scan across flat and even surfaces in a predefined pattern ("static sampling mode"). Uneven samples are automatically probed in "conductance sampling mode" where an electric potential is applied and measured at the probe. When the probe contacts the electrically grounded sample, the potential at the probe drops, which is used as a feedback signal to determine the optimal position of the probe for sampling each location. The applicability of the probe/sensing system was demonstrated by first examining the strawberry tissue using the "static sampling mode." Second, porcine tissue samples were profiled using the "conductance sampling mode." With minimal sample preparation, an area of 11 × 15 mm was profiled in less than 2h. From the obtained results, adipose areas could be distinguished from non-adipose parts. The versatility of the approach was further demonstrated by directly sampling the bacteria colonies on agar and resected human kidney (intratumoral hemorrhage) specimens with thicknesses ranging from 1 to 4mm. The LMJ-SSP in conjunction with a conductive feedback system is a powerful tool that allows for fast, reproducible, and automated assessment of uneven surfaces with minimal sample preparation. This setup could be used for perioperative assessment of tissue samples, food screening, and natural product discovery, among others.

Hyperspectral Visualization-Based Mass Spectrometry Imaging by LMJ-SSP: A Novel Strategy for Rapid Natural Product Profiling in Bacteria.

Mass spectrometry imaging (MSI) has been widely used to discover natural products (NPs) from underexplored microbiological sources. However, the technique is limited by incompatibility with complicated/uneven surface topography and labor-intensive sample preparation, as well as lengthy compound profiling procedures. Here, liquid micro-junction surface sampling probe (LMJ-SSP)-based MSI is used for rapid profiling of natural products from Gram-negative marine bacteria Pseudoalteromonas on nutrient agar media without any sample preparation. A conductance-based autosampling platform with 1 mm spatial resolution and an innovative multivariant analysis-driven method was used to create one hyperspectral image for the sampling area. NP discovery requires general spatial correlation between m/z and colony location but not highly precise spatial resolution. The hyperspectral image was used to annotate different m/z by straightforward color differences without the need to directly interrogate the spectra. To demonstrate the utility of our approach, the rapid analysis of Pseudoalteromonas rubra DSM6842, Pseudoalteromonas tunicata DSM14096, Pseudoalteromonas piscicida JCM20779, and Pseudoalteromonas elyakovii ATCC700519 cultures was directly performed on Agar. Various natural products, including prodiginine and tambjamine analogues, were quickly identified from the hyperspectral image, and the dynamic extracellular environment was shown with compound heatmaps. Hyperspectral visualization-based MSI is an efficient and sensitive strategy for direct and rapid natural product profiling from different Pseudoalteromonas strains.

Discontinuously Dewetting Solvent Arrays: Droplet Formation and Poly-Synchronous Surface Extraction for Mass Spectrometry Imaging Applications.

We describe a new liquid tissue stamping method called poly-synchronous surface extraction (PSSE) that utilizes an omniphobic substrate patterned with hydrophilic surface energy traps (SETs), which when wet with a solvent form a dense microdroplet array. When contacted with a tissue sample, each droplet locally extracts analytes from the tissue surface, which subsequentially can be analyzed by matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-IMS) or ambient ionization-MS techniques. Optimization of the patterned surface with six different solvents was carried out to increase the droplet density, height, and reproducibility of volume deposition. Once optimized, sister slices of a strawberry (Fragaria × ananassa) were spatially extracted using the PSSE technique and the chemical distribution of selected compounds was analyzed with both MALDI-IMS and a lower resolution but faster ambient liquid microjunction surface sampling probe (LMJ-SSP) approach. Heat maps for target analytes for the PSSE approach are compared to those produced using traditional MALDI-IMS analysis. The PSSE method aligned well with direct analysis and demonstrated the potential to increase the speed of ambient MS tissue imaging techniques by decreasing the number of steps required for sample preparation.

Rapid Mass Spectrometric Calibration and Standard Addition Using Hydrophobic/Hydrophilic Patterned Surfaces and Discontinuous Dewetting.

The rapid calibration chip (RCC) is a device that uses the fast and reproducible wetting behavior of hydrophilic/hydrophobic patterned surfaces to confine a series of differently sized droplets on a substrate to obtain a calibration curve. Multiple series of droplets can be formed within seconds by dipping an RCC into a calibration solution. No pipetting, sequential droplet deposition, or advanced equipment is required. The performance and reproducibility of RCCs were evaluated with an electrospray ionization triple-quadrupole mass spectrometer equipped with a liquid microjunction-surface sampling probe (LMJ-SSP) that allows for fast sampling of surfaces. Using circular hydrophilic areas with diameters ranging from 0.25 to 2.00 mm, liquid volumes of 4.6-70.6 nL could be deposited. Furthermore, the use of a second hydrophobic/hydrophilic patterned transfer chip can be used to add internal standard solutions to each calibration spot of the RCC, allowing to transfer a liquid volume of 22.5 nL.

Hotspots of root-exuded amino acids are created within a rhizosphere-on-a-chip.

The rhizosphere is a challenging ecosystem to study from a systems biology perspective due to its diverse chemical, physical, and biological characteristics. In the past decade, microfluidic platforms (e.g. plant-on-a-chip) have created an alternative way to study whole rhizosphere organisms, like plants and microorganisms, under reduced-complexity conditions. However, in reducing the complexity of the environment, it is possible to inadvertently alter organism phenotype, which biases laboratory data compared to in situ experiments. To build back some of the complexity of the rhizosphere in a fully-defined, parameterized approach we have developed a rhizosphere-on-a-chip platform that mimics the physical structure of soil. We demonstrate, through computational simulation, how this synthetic soil structure can influence the emergence of molecular "hotspots" and "hotmoments" that arise naturally from the plant's exudation of labile carbon compounds. We establish the amenability of the rhizosphere-on-a-chip for long-term culture of Brachypodium distachyon, and experimentally validate the presence of exudate hotspots within the rhizosphere-on-a-chip pore spaces using liquid microjunction surface sampling probe mass spectrometry.

Detection of Opioids on Mail/Packages Using Open Port Interface Mass Spectrometry (OPI-MS).

Opioids (and their more potent synthetic analogues) are used therapeutically as effective pain killers; however, recreational use and consequent overdoses are implicated in the deaths of thousands of people across the world annually. Trafficking of opioids and other illegal drugs through international mail has become a significant challenge for law enforcement personnel. Hundreds of millions of letters are sorted by the U.S. and Canadian postal services every day. Chemical analysis of this immense volume of mail requires a very fast sampling/detection method. This work explores the use of real-time mass spectrometry analysis with the recently developed Open Port Interface (OPI) for acoustically dispensed nanoliter volume sample droplets, a type of liquid microjunction surface sampling probe, for rapid and easy non-intrusive detection of fentanyl, heroin, and oxycodone. The OPI coupled to mass spectrometry is a novel sample introduction method that allows the rapid analysis of sample surfaces without preparation or modification. Opioids on different packaging materials (e.g., paper, bubble wrap, Ziploc bags) were rapidly (<10 s) interrogated by the OPI, and the sensitivities of the method compared. Furthermore, an opioid surrogate (caffeine) could be facilely detected on envelopes after processing through postal services.

Separation of Glycolipids/Sphingolipids from Glycerophospholipids on TiO2 Coating in Aprotic Solvent for Rapid Comprehensive Lipidomic Analysis with Liquid Microjunction Surface Sampling-Mass Spectrometry

In lipidomic analysis by direct mass spectrometry (MS), high abundance lipids with high ionizability (such as glycerophospholipids) would cause ion suppression to lipids with poor ionizability and low abundance (such as glycolipids, sphingolipids, or glycerides), which largely limits the detection coverage for lipidomics. In this work, TiO2-based liquid microjunction surface sampling (LMJSS) coupled with MS was used for separation of glycerides, phospholipids and glycolipids/sphingolipids in biological samples and rapid analysis of lipids in different classes with high lipidome coverage. We found that, in nonaqueous aprotic solvents, lipids with a glycosyl or sphingosine group could be selectively separated from lipids with a phosphate group (selectivity >10) after being coenriched on TiO2 by tuning the solvent composition. Accordingly, a selective multistep extraction method was developed by loading the biosamples on TiO2 slides in neutral aprotic solvent, and sequentially eluting glycerides in pure acetonitrile, glycerophospholipids in 6% ammonia-94% acetonitrile (v/v) and glycolipids/sphingolipids in 5% formic acid-95% methanol (v/v) by LMJSS probe from TiO2 slide. Each eluate from TiO2 slide was directly delivered by LMJSS to MS for analysis. The total detection time with three desorption steps would be controlled in 3 min. The method performance for each lipid class was evaluated using lipid standards, including matrix effects (107-128%), RSDs (0.4-16%), linearity (0.98-0.99), detection limits (5-3000 ng/mL), the adsorption equilibrium constants (102-104) and adsorption capacity (1-38 μg/mm2) of TiO2 coated slides to lipids. Finally, the TiO2-based-LMJSS-MS method was applied to lipidomic analysis for blood plasma and brain tissue, and compared with direct infusion MS. Results showed that (2-5)-fold more sphingolipids/glycolipids and 40-50 more glycerophospholipids/glycerides were identified in both plasma and brain extract by the new method comparing with direct infusion MS method. Detected lipids were quantified with standard addition calibration method, and the absolute quantitation results measured by TiO2-based-LMJSS-MS were verified with that by the traditional LC-MS method (correlation coefficient >0.98, slope of correlation line = 0.87-1.05).

In Situ Chemical Monitoring and Imaging of Contents within Microfluidic Devices Having a Porous Membrane Wall Using Liquid Microjunction Surface Sampling Probe Mass Spectrometry.

The ability to observe dynamic chemical processes (e.g., signaling, transport, etc.) in vivo or in situ using nondestructive chemical imaging opens a new door to understanding the complex dynamics of developing biological systems. With the advent of "biology-on-a-chip" devices has come the ability to monitor dynamic chemical processes in a controlled environment, using these engineered habitats to capture key features of natural systems while allowing visual observation of system development. Having the capability to spatially and temporally map the chemical signals within these devices may yield new insights into the forces that drive biosystem development. Here, a porous membrane sealed microfluidic device was designed to allow normal microfluidic operation while enabling continuous, location specific sampling and chemical characterization by liquid microjunction surface sampling probe mass spectrometry (LMJ-SSP MS). LMJ-SSP was used to extract fluids with nL-to-μL/min flow rates directly from selected areas of the microfluidic device without negatively impacting the device function. These extracts were subsequently characterized using MS. This technique was used to acquire MS images of the entirety of several multi-input microfluidic devices having different degrees of fluid mixing. LMJ-SSP MS imaging visualized the spatial distribution of chemical components within the microfluidic channels and could visualize chemical reactions occurring in the device. These microfluidic devices with a porous membrane wall are wholly compatible with the construction of biology-on-a-chip devices. This ultimately would enable correlation of biosystem physical structure with an evolving chemical environment.

Engineering Fluorine into Verticillins (Epipolythiodioxopiperazine Alkaloids) via Precursor-Directed Biosynthesis.

Precursor-directed biosynthesis was used to generate a series of fluorinated verticillins. The biosynthesis of these epipolythiodioxopiperazine alkaloids was monitored in situ via the droplet liquid microjunction surface sampling probe (droplet probe), and a suite of NMR and mass spectrometry data were used for their characterization. All analogues demonstrated nanomolar IC50 values vs a panel of cancer cell lines. This approach yielded new compounds that would be difficult to generate via synthesis.

Rapid untargeted screening for drug residues in animal tissues with liquid microjunction surface sampling probe mass spectrometry

An untargeted screening method for the rapid identification of veterinary drug residues in incurred animal tissues using liquid microjunction surface sampling probe mass spectrometry (LMJSSP-MS) was developed. Current analytical methods for veterinary drug residue screening involve lengthy sample preparation, extraction, and instrumental analysis steps. This method identifies veterinary drug residues in several different incurred animal tissues more quickly than conventional analytical methods. This LMJSSP-MS method uses an ambient ionization technology called liquid microjunction surface sampling probe along with a data dependent scan function of a quadrupole orbitrap mass spectrometer. Collected product ion spectra are searched against the mzCloud™ online mass spectral database to identify veterinary drug residues found in incurred animal tissue samples. Examples of veterinary drugs identified with this method include flunixin, tilmicosin, pentobarbital, xylazine, and ketamine. Optimization of method parameters is described and discussed. The limit of identification (LOI) of this method is estimated to be approximately 1 μg g−1 for xylazine and ketamine.

Optimised Desorption Electrospray Ionisation Mass Spectrometry Imaging (DESI-MSI) for the Analysis of Proteins/Peptides Directly from Tissue Sections on a Travelling Wave Ion Mobility Q-ToF

Desorption electrospray ionisation mass spectrometry imaging (DESI-MSI) is typically known for the ionisation of small molecules such as lipids and metabolites, in singly charged form. Here we present a method that allows the direct detection of proteins and peptides in multiply charged forms directly from tissue sections by DESI. Utilising a heated mass spectrometer inlet capillary, combined with ion mobility separation (IMS), the conditions with regard to solvent composition, nebulising gas flow, and solvent flow rate have been explored and optimised. Without the use of ion mobility separation prior to mass spectrometry analysis, only the most abundant charge series were observed. In addition to the dominant haemoglobin subunit(s) related trend line in the m/z vs drift time (DT) 2D plot, trend lines were found relating to background solvent peaks, residual lipids and, more importantly, small proteins/large peptides of lower abundance. These small proteins/peptides were observed with charge states from 1+ to 12+, the majority of which could only be resolved from the background when using IMS. By extracting charge series from the 2D m/z vs DT plot, a number of proteins could be tentatively assigned by accurate mass. Tissue images were acquired with a pixel size of 150 μm showing a marked improvement in protein image resolution compared to other liquid-based ambient imaging techniques such as liquid extraction surface analysis (LESA) and continuous-flow liquid microjunction surface sampling probe (LMJ-SSP) imaging.Graphical ᅟ

MALDI MS Guided Liquid Microjunction Extraction for Capillary Electrophoresis-Electrospray Ionization MS Analysis of Single Pancreatic Islet Cells.

The ability to characterize chemical heterogeneity in biological structures is essential to understanding cellular-level function in both healthy and diseased states, but these variations remain difficult to assess using a single analytical technique. While mass spectrometry (MS) provides sufficient sensitivity to measure many analytes from volume-limited samples, each type of mass spectrometric analysis uncovers only a portion of the complete chemical profile of a single cell. Matrix-assisted laser desorption/ionization (MALDI) MS and capillary electrophoresis electrospray ionization (CE–ESI)-MS are complementary analytical platforms frequently utilized for single-cell analysis. Optically guided MALDI MS provides a high-throughput assessment of lipid and peptide content for large populations of cells, but is typically nonquantitative and fails to detect many low-mass metabolites because of MALDI matrix interferences. CE–ESI-MS allows quantitative measurements of cellular metabolites and increased analyte coverage, but has lower throughput because the electrophoretic separation is relatively slow. In this work, the figures of merit for each technique are combined via an off-line method that interfaces the two MS systems with a custom liquid microjunction surface sampling probe. The probe is mounted on an xyz translational stage, providing 90.6 ± 0.6% analyte removal efficiency with a spatial targeting accuracy of 42.8 ± 2.3 μm. The analyte extraction footprint is an elliptical area with a major diameter of 422 ± 21 μm and minor diameter of 335 ± 27 μm. To validate the approach, single rat pancreatic islet cells were rapidly analyzed with optically guided MALDI MS to classify each cell into established cell types by their peptide content. After MALDI MS analysis, a majority of the analyte remains for follow-up measurements to extend the overall chemical coverage. Optically guided MALDI MS was used to identify individual pancreatic islet α and β cells, which were then targeted for liquid microjunction extraction. Extracts from single α and β cells were analyzed with CE–ESI-MS to obtain qualitative information on metabolites, including amino acids. Matching the molecular masses and relative migration times of the extracted analytes and related standards allowed identification of several amino acids. Interestingly, dopamine was consistently detected in both cell types. The results demonstrate the successful interface of optical microscopy-guided MALDI MS and CE–ESI-MS for sequential chemical profiling of individual, mammalian cells.

Ambient Ionization and FAIMS Mass Spectrometry for Enhanced Imaging of Multiply Charged Molecular Ions in Biological Tissues.

Ambient ionization mass spectrometry imaging (MSI) has been increasingly used to investigate the molecular distribution of biological tissue samples. Here, we report the integration and optimization of desorption electrospray ionization (DESI) and liquid-microjunction surface sampling probe (LMJ-SSP) with a chip-based high-field asymmetric waveform ion mobility spectrometry (FAIMS) device to image metabolites, lipids, and proteins in biological tissue samples. Optimized FAIMS parameters for specific molecular classes enabled semitargeted detection of multiply charged molecular species at enhanced signal-to-noise ratios (S/N), improved visualization of spatial distributions, and, most importantly, allowed detection of species which were unseen by ambient ionization MSI alone. Under static DESI-FAIMS conditions selected for transmission of doubly charged cardiolipins (CL), for example, detection of 71 different CL species was achieved in rat brain, 23 of which were not observed by DESI alone. Diagnostic CL were imaged in a human thyroid tumor sample with reduced interference of isobaric species. LMJ-SSP-FAIMS enabled detection of 84 multiply charged protein ions in rat brain tissue, 66 of which were exclusive to this approach. Spatial visualization of proteins in substructures of rat brain, and in human ovarian cancerous, necrotic, and normal tissues was achieved. Our results indicate that integration of FAIMS with ambient ionization MS allows improved detection and imaging of selected molecular species. We show that this methodology is valuable in biomedical applications of MSI for detection of multiply charged lipids and proteins from biological tissues.