High-throughput identification of in-gel digested proteins by rapid, isocratic HPLC/MS/MS

The high sensitivity and accuracy of mass spectrometry for identifying proteins has led to an explosive expansion of proteomics research, necessitating rapid procedures for HPLC/MS/MS analysis. Current HPLC/MS/MS analysis usually relies on elution of peptides from the HPLC column with a gradient that takes a total of 45-70 min for each cycle, limiting sample throughput and the speed of protein identification. Here we report a simple method for high-throughput protein identification, using isocratic, either methanol- or acetonitrile-based buffer systems, HPLC elution into an LTQ mass spectrometer. This procedure allows each cycle of highly sensitive HPLC/MS/MS analysis to be completed in 5 min, thus boosting the efficiency of HPLC/MS/MS analysis 9-14-fold. Using this method, each operator can acquire HPLC/MS/MS data for 96 in-gel proteolytic digests in one 8-h working day. The method can easily be implemented in any laboratory with an LTQ mass spectrometer. This protocol should find wide application in mass spectrometry laboratories that require high-throughput analysis but are limited by inefficient use of machine time.     

Screening for organic phosphorus compounds in aquatic sediments by liquid chromatography coupled to ICP-AES and ESI-MS/MS

The structures of organic phosphorous (P) compounds in aquatic sediments are to a large extent unknown although these compounds are considered to play an important role in regulating lake trophic status. To enhance identification of these compounds, a liquid chromatography (LC) method for their separation was developed. The stationary phase was porous graphitic carbon (PGC), and the mobile phases used in the gradient elution were compatible with both inductive coupled plasma atomic emission spectroscopy (ICP-AES) and electrospray ionization tandem mass spectrometry (ESI-MS/MS). With LC-ICP-AES, eight different P containing peaks could be observed in the P chromatogram indicating that at least eight different P compounds were separated. With the setup of an information dependent acquisition (IDA) with ESI-MS/MS, the mass over charge ( m/ z) of compounds containing a phosphate group (H 2PO 3 (-), m/ z 97) could be measured and further fragmentation experiments gave additional information on the structure of almost 40 separated P compounds, several were verified to be nucleotides. ICP-AES was very suitable in the development of the LC method and allowed screening and quantification of P compounds. The presented LC-ESI-MS/MS technique was able to identify several sediment organic P compounds.     

Prediction of MS/MS data. 1. A focus on pharmaceuticals containing carboxylic acids

Metabolite identification is a necessary step in developing safe and effective drugs. Metabolite analysis typically involves rapid identification of the chemical composition of the metabolite by automated HPLC-MS methods, followed by the laborious process of identifying the structure of the metabolite. Since MS is typically utilized to identify the metabolite, it is logical to utilize MS/MS to structurally characterize the sample. However, interpretation of MS/MS data may not provide sufficient information, as fragmentation pathways are not well understood or predictable. Therefore, other more time-consuming methods of analysis are often undertaken. If the dissociation rules for low-energy MS/MS experiments were clearly defined for all classes of compounds, more information would be obtained from MS/MS data, and metabolite identification would proceed more rapidly. We are currently developing methods to define these fragmentation rules. By screening approximately 100 carboxylic acids at a time and applying knowledge of physical-organic chemistry, predictive rules are under development that describe how compounds dissociate under low-energy collision-induced dissociation conditions. Studies of carboxylic acid dissociation demonstrate that this approach is practical and reliable. Dissociation rules were predicted with a 90% success rate, when tested on acid-containing pharmaceuticals. This predictive power cannot be matched by any commercially available software. This study, and others like it, will be used to develop algorithms that more rapidly identify drug metabolites and degradation products, based on MS/MS data. Such algorithms will benefit drug development for all types of pharmaceuticals.     

Identification of selenium-containing glutathione S-conjugates in a yeast extract by two-dimensional liquid chromatography with inductively coupled plasma MS and nanoelectrospray MS/MS detection

An approach for the identification of unknown selenium-containing biomolecules was developed, enabling the identification of selenodiglutathione (GS-Se-SG) and the mixed selenotrisulfide of glutathione and cysteinylglycine (GS-Se-SCG) in aqueous yeast extracts. The method consists of two-dimensional liquid chromatography, inductively coupled plasma mass spectrometry (ICPMS) and nanoelectrospray tandem mass spectrometry. Analytes were separated by size-exclusion chromatography followed by preconcentration and separation on a porous graphitic carbon HPLC column. The HPLC effluent was monitored for selenium by ICPMS, and two selenium-containing fractions were isolated and analyzed by nanoelectrospray MS. The nanoelectrospray technique has a low sample consumption of approximately 80 nL/min, enabling a preconcentration of the sample to a few microliters. Mass spectra of the two fractions showed the characteristic Se isotopic pattern centered at m/z 693.1 and 564.0 for the [M + H]+ 80Se ions. MS/MS spectra of adjacent parent ions confirmed the presence of Se. The two selenium species were identified as GS-Se-SG and GS-Se-SCG by collision induced dissociation (CID). The accurately measured masses of the most abundant 691 and 693 u parent ions are in good agreement (differences = 3 ppm) with the theoretical masses. To our knowledge, this is the first identification of GS-Se-SG and GS-Se-SCG in biological matrixes by MS/MS.     

Molecular formula analysis by an MS/MS/MS technique to expedite dereplication of natural products

A facile and sensitive mass spectrometric method has been developed for the dereplication of natural products. The method provides information about the molecular formula and substructure of a precursor molecule and its fragments, which are invaluable aids in dereplication of natural products at their early stages of purification and characterization. Collision-induced MS/MS technique is used to fragment a precursor ion into several product ions, and individual product ions are selected and subjected to collision-induced MS/MS/MS analysis. This method enables the identification of the fragmentation pathway of a precursor molecule from its first-generation fragments (MS/MS), through to the nth generation product ions (MSn). It also allows for the identification of the corresponding neutral products released (neutral losses). Elements used in the molecular formula analysis include C, H, N, O, and S, as most natural products are constituted by these five elements. High-resolution mass separation and accurate mass measurements afforded the unique identification of molecular formula of small neutral products. Through sequential add-up of the molecular formulas of the small neutral products, the molecular formula of the precursor ion and its productions were uniquely determined. The molecular formula of the precursor molecule was then reversely used to identify or confirm the molecular formula of the neutral products and that of the productions. The molecular formula of the neutral fragments allowed for the identification of substructures, leading to a rapid and efficient characterization of precursor natural product. The method was applied to paclitaxel (C47H51NO14; 853 amu) to identify its molecular formula and its substructures, and to characterize its potential fragmentation pathways. The method was further validated by correctly identifying the molecular formula of minocycline (C23H27N3O7; 457 amu) and piperacillin (C23H27N5O7S; 517 amu).     

Validated comprehensive analytical method for quantification of coenzyme A activated compounds in biological tissues by online solid-phase extraction LC/MS/MS

We report a robust, reliable, and comprehensive analytical method for the identification and quantification of the entire class of coenzyme A (CoA) activated substances, particularly short-, medium-, and long-chain acyl-CoAs derived from various biological tissues. This online SPE-LC/MS/MS-based method is characterized by a simple three-step sample preparation: (1) addition of buffer, organic solvents, and internal standards; (2) homogenization; and (3) centrifugation. The supernatant is injected directly into the SPE-LC/MS/MS system. Identification of CoA activated compounds is performed by accurate mass determination within the HPLC run. Method validation for short-, medium-, and long-chain acyl-CoA fatty acids revealed excellent quality. Accuracy was found to be between 87 and 107% and precision was between 0.1 and 12.8% in mouse skeletal muscle. The lower limit of quantification for all investigated compounds was well below 3.1% of estimated physiological levels in 200 mg of mouse tissue. Comparable results were obtained for mouse liver, mouse brown white adipose tissue and rat liver. For all investigated tissues, no matrix effect was observed.     

Nanoflow gradient generator coupled with mu-LC-ESI-MS/MS for protein identification

The large-scale identification of proteins from proteomes of complex organisms, and the availability of various types of protein and DNA databases, increasingly require the additional information provided by tandem mass spectrometry. HPLC and microLC coupled to ESI-MS/MS presently dominate the field of protein identification by tandem mass spectrometry and database searching. The analysis of protein digests is typically performed using HPLC or LC columns with 50-100-microm diameters, requiring the delivery of solvent gradients at low to mid nanoliter per minute flow rates. This has been typically achieved using expensive generic HPLC pumping systems for the delivery of microliter per minute gradients that were either flow-split or sampled. Here we present an alternative system for the delivery of nanoliter per minute gradients. The inexpensive nanoflow gradient generator (etagrad) described here can be modulated to reproducibly deliver selected gradients. The performance of the etagrad on-line with a microLC-ESI-MS/MS system has been demonstrated for the identification of standard protein digests. Moreover, the performance of the etagrad-microLC-ESI-MS/MS system, with protein prefractionation by IPG isoelectric focusing, was also evaluated for rapid study of yeast and human proteomes.     

Very high pressure gradient LC/MS/MS

A very high pressure liquid chromatography (VHPLC) system was constructed by modifying a commercially available pump in order to achieve pressures in excess of 1,200 bar (17,500 psi). A computer-controlled low-pressure mixer was used to generate solvent gradients. Protein digests were rapidly analyzed by reversed-phase VHPLC with linear solvent gradients coupled to either a tandem mass spectrometer using electrospray ionization or a UV/visible detector. The separations were performed at pressures ranging from 790 (11,500 psi) to 930 bar (13,500 psi) in 22-cm-long capillary columns packed with C18-modified 1.5-microm nonporous silica particles. A digest of bovine serum albumin (BSA) was analyzed by the VHPLC system connected to a mass spectrometer in MS mode. An analysis of 12.5 fmol of sample gave signal-to-noise ratios of tryptic peaks greater than 10:1 in the base peak plot mass chromatogram. This system was also used to analyze a proteolytic digest of a rat liver protein excised from a 2-D gel separation of a liver tissue lysate. For this analysis, the mass spectrometer was set up to perform data-dependent scanning (automated switching from MS mode to MS/MS mode when a peak was detected) for peptide sequencing and protein identification by database searching. The results of this analysis are compared to an analysis performed on the same sample using the nanoelectrospray-MS/MS technique. Though both techniques were able to identify the unknown protein, the VHPLC method gave twice as many sequenced peptides as nanoelectrospray and improved the signal-to-noise ratio of the spectra by at least a factor of 10. Direct comparisons with nanoelectrospray for MS and MS/MS data acquisition from a BSA digest were made. These comparisons show enhancements of greater than 20-fold for VHPLC over nanoelectrospray. In addition, the VHPLC/MS/MS data acquisition was accomplished in an automated manner.     

Infrared multiphoton dissociation and electron-induced dissociation as alternative MS/MS strategies for metabolite identification

A major challenge encountered in mass spectrometric metabolite analysis is the identification and structural characterization of metabolites. Fourier transform ion cyclotron resonance mass spectrometry is a valuable technique for metabolite structural determination because it provides accurate masses and allows for multiple MS/MS fragmentation strategies, including infrared multiphoton dissociation (IRMPD) and electron-induced dissociation (EID). Collision activated dissociation (CAD) is currently the most commonly used MS/MS technique for metabolite structural characterization. In contrast, IRMPD and EID have had very limited, if any, application for metabolite characterization. Here, we explore IRMPD and EID of phosphate-containing metabolites and compare the resulting fragmentation patterns to those of CAD. Our results show that CAD, IRMPD, and EID provide complementary structural information for phosphate-containing metabolites. Overall, CAD provided the most extensive fragmentation for smaller (<600 Da) phosphate-containing metabolites; however, IRMPD generated more extensive fragmentation for larger (>600 Da) phosphate-containing metabolites, particularly for species containing increased numbers of phosphate groups. EID generally provided complementary fragmentation to CAD and showed extensive fragmentation with relatively evenly abundant product ions, regardless of metabolite size. However, EID fragmentation efficiency is lower than those of CAD and IRMPD.     

Coumarin tags for analysis of peptides by MALDI-TOF MS and MS/MS. 2. Alexa Fluor 350 tag for increased peptide and protein Identification by LC-MALDI-TOF/TOF MS

The goal of this study was the development of N-terminal tags to improve peptide identification using high-throughput MALDI-TOF/TOF MS. Part 1 of the study was focused on the influence of derivatization on the intensities of MALDI-TOF MS signals of peptides. In part 2, various derivatization approaches for the improvement of peptide fragmentation efficiency in MALDI-TOF/TOF MS are explored. We demonstrate that permanent cation tags, while significantly improving signal intensity in the MS mode, lead to severe suppression of MS/MS fragmentation, making these tags unsuitable for high-throughput MALDI-TOF/TOF MS analysis. In the present work, it was found that labeling with Alexa Fluor 350, a coumarin tag containing a sulfo group, along with guanidation of epsilon-amino groups of Lys, could enhance unimolecular fragmentation of peptides with the formation of a high-intensity y-ion series, while the peptide intensities in the MS mode were not severely affected. LC-MALDI-TOF/TOF MS analysis of tryptic peptides from the SCX fractions of an E. coli lysate revealed improved peptide scores, a doubling of the total number of peptides, and a 30% increase in the number of proteins identified, as a result of labeling. Furthermore, by combining the data from native and labeled samples, confidence in correct identification was increased, as many proteins were identified by different peptides in the native and labeled data sets. Additionally, derivatization was found not to impair chromatographic behavior of peptides. All these factors suggest that labeling with Alexa Fluor 350 is a promising approach to the high-throughput LC-MALDI-TOF/TOF MS analysis of proteomic samples.     

Identification and quantification of cardiac glycosides in blood and urine samples by HPLC/MS/MS.

Cardiac glycosides (CG) are of forensic importance because of their toxicity and the fact that very limited methods are available for identification of CG in biological samples. In this study, we have developed an identification and quantification method for digoxin, digitoxin, deslanoside, digoxigenin, and digitoxigenin by high-performance liquid chromatography tandem mass spectrometry (HPLC/MS/MS). CG formed abundant [M + NH4]+ ions and much less abundant [M + H]+ ions as observed with electrospray ionization (ESI) source and ammonium formate buffer. Under mild conditions for collision-induced dissociation (CID), each [M + NH4]+ ion fragmented to produce a dominant daughter ion, which was essential to the sensitive method of selected reaction monitoring (SRM) quantification of CG achieved in this study. SRM was compared with selected ion monitoring (SIM) regarding the effects of sample matrixes on the methodology. SRM produced lower detection limits with biological samples than SIM, while both methods produced equal detection limits with CG standards. On the basis of the HPLC/MS/MS results for CG, we have proposed some generalized points for conducting sensitive SRM measurements, in view of the property of analytes as well as instrumental conditions such as the type of HPLC/MS interface and CID parameters. Analytes of which the molecular ion can produce one abundant daughter ion with high yield under CID conditions may be sensitively measured by SRM. ESI is the most soft ionization source developed so far and can afford formation of the fragile molecular ions that are necessary for sensitive SRM detection. Mild CID conditions such as low collision energy and low pressure of collision gas favor production of an abundant daughter ion that is essential to sensitive SRM detection. This knowledge may provide some guidelines for conducting sensitive SRM measurements of very low concentrations of drugs or toxicants in biological samples.     

Ultrasensitive proteomics using high-efficiency on-line micro-SPE-nanoLC-nanoESI MS and MS/MS

Ultrasensitive nanoscale proteomics approaches for characterizing proteins from complex proteomic samples of <50 ng of total mass are described. Protein identifications from 0.5 pg of whole proteome extracts were enabled by ultrahigh sensitivity (<75 zmol for individual proteins) achieved using high-efficiency (peak capacities of approximately 10(3)) 15-microm-i.d. capillary liquid chromatography separations (i.e., using nanoLC, approximately 20 nL/min mobile-phase flow rate at the optimal linear velocity of approximately 0.2 cm/s) coupled on-line with a micro-solid-phase sample extraction and a nanoscale electrospray ionization interface to a 11.4-T Fourier transform ion cyclotron resonance (FTICR) mass spectrometer (MS). Proteome measurement coverage improved as sample size was increased from as little as 0.5 pg of sample. It was found that a 2.5-ng sample provided 14% coverage of all annotated open reading frames for the microorganism Deinococcus radiodurans, consistent with previous results for a specific culture condition. The estimated detection dynamic range for detected proteins was 10(5)-10(6). An improved accurate mass and LC elution time two-dimensional data analysis methodology, used to both speed and increase the confidence of peptide/protein identifications, enabled identification of 872 proteins/run from a single 3-h nanoLC/FTICR MS analysis. The low-zeptomole-level sensitivity provides a basis for extending proteomics studies to smaller cell populations and potentially to a single mammalian cell. Application with ion trap MS/MS instrumentation allowed protein identification from 50 pg (total mass) of proteomic samples (i.e., approximately 100 times larger than FTICR MS), corresponding to a sensitivity of approximately 7 amol for individual proteins. Compared with single-stage FTICR measurements, ion trap MS/MS provided a much lower proteome measurement coverage and dynamic range for a given analysis time and sample quantity.     

Simultaneous analysis of multiple classes of antibiotics by ion trap LC/MS/MS for assessing surface water and groundwater contamination

Solid-phase extraction (SPE) and liquid chromatography in combination with ion trap mass spectrometry (LC/MS/MS) conditions were optimized for the simultaneous analysis of 13 antibiotics belonging to multiple classes and caffeine in 3 different water matrixes. The single-cartridge extraction step was developed using a reversed-phase cartridge, resulting in recoveries for the 14 compounds ranging from 71 to 119% with relative standard deviations of 16% or lower. The analytes were separated in one chromatographic run, and the SPE-LC/MS/MS detection limits ranged from 0.03 to 0.19 microg/L. The SPE procedure was validated in groundwater, surface water, and wastewater. The analysis of samples from each of the three water matrixes revealed clindamycin (1.1 microg/L) in surface water and multiple antibiotics in wastewater (0.10-1.3 microg/L). The use of identification points to unambiguously assign the identity of antibiotics in various water matrixes was applied to an ion trap data-dependent scanning method, which simultaneously collects full scan and full scan MS/MS data for the unequivocal identification of target analytes.     

Evaluation of a TiO2 photocatalysis treatment on nitrophenols and nitramines contaminated plant wastewaters by solid-phase extraction coupled with ESI HPLC–MS

Nitration reactions of aromatic compounds are commonly involved in different industrial processes for pharmaceutical, pesticide or military uses. For many years, most of the manufacturing sites used lagooning systems to treat their process effluents. In view of a photocatalytic degradation assay, the wastewater of a lagoon was investigated by using HPLC coupled with mass spectrometry. The wastewater was highly concentrated in RDX (hexahydro-1,3,5-trinitro-1,3,5-triazine), HMX (octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine) and two herbicides Dinoterb (2-tert-butyl-4,6-dinitrophenol) and Dinoseb (2-sec-butyl-4,6-dinitrophenol). First of all, an analytical method using solid-phase extraction (SPE) combined with HPLC ESI MS/MS was put in work for identification and titration of RDX, HMX and the two dinitrophenols in a complex natural matrix. Then, the UV/TiO₂ treatment was investigated for pollutants removal. Dinitrophenolic compounds were significantly degraded after a 8-h-exposition of the wastewater/TiO₂ suspension, whereas RDX and HMX were poorly affected.     

Improving protein identification sensitivity by combining MS and MS/MS information for shotgun proteomics using LTQ-Orbitrap high mass accuracy data

We investigated and compared three approaches for shotgun protein identification by combining MS and MS/MS information using LTQ-Orbitrap high mass accuracy data. In the first approach, we employed a unique mass identifier method where MS peaks matched to peptides predicted from proteins identified from an MS/MS database search are first subtracted before using the MS peaks as unique mass identifiers for protein identification. In the second method, we used an accurate mass and time tag method by building a potential mass and retention time database from previous MudPIT analyses. For the third method, we used a peptide mass fingerprinting-like approach in combination with a randomized database for protein identification. We show that we can improve protein identification sensitivity for low-abundance proteins by combining MS and MS/MS information. Furthermore, "one-hit wonders" from MS/MS database searching can be further substantiated by MS information and the approach improves the identification of low-abundance proteins. The advantages and disadvantages for the three approaches are then discussed.     

Enabling MALDI-FTICR-MS/MS for high-performance proteomics through combination of infrared and collisional activation

Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) is a central tool for proteomic analysis, yet the singly protonated tryptic peptide ions produced by MALDI are significantly more difficult to dissociate for tandem mass spectrometry (MS/MS) than the corresponding multiply protonated ions. In order to overcome this limitation, current proteomic approaches using MALDI-MS/MS involve high-energy collision-induced dissociation (CID). Unfortunately, the use of high-energy CID complicates product ion spectra with a significant proportion of irrelevant fragments while also reducing mass accuracy and mass resolution. In order to address the lack of a high-resolution, high mass accuracy MALDI-MS/MS platform for proteomics, Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) and a recently developed MS/MS technique termed CIRCA (for combination of infrared and collisional activation) have been applied to proteomic analysis. Here, CIRCA is shown to be suitable for dissociating singly protonated tryptic peptides, providing greater sequence coverage than either CID or infrared multiphoton dissociation (IRMPD) alone. Furthermore, the CIRCA fragmentation spectra are of sufficient quality to allow protein identification based on the MS/MS spectra alone or in concert with the peptide mass fingerprint (PMF). This is accomplished without compromising mass accuracy or mass resolution. As a result, CIRCA serves to enable MALDI-FTICR-MS/MS for high-performance proteomics experiments.     

Comparison of LC/MS and SFC/MS for screening of a large and diverse library of pharmaceutically relevant compounds

The search for greater speed of analysis has fueled many innovations in high-performance liquid chromatography (HPLC), such as the use of higher pressures and smaller stationary-phase particles, and the development of monolithic columns. Alternatively, one might alter the chromatographic mobile phase. The low viscosity and high diffusivity of the mobile phase in supercritical fluid chromatography (SFC) allows higher flow rates and lower pressure drops than is possible in traditional HPLC. In addition, SFC requires less organic, or aqueous-organic, solvent than LC (important in preparative-scale chromatography) and provides an alternative, normal-phase retention mechanism. But fluids that are commonly used as the main mobile-phase component in SFC, such as CO2, are relatively nonpolar. As a result, SFC is commonly believed to only be applicable to nonpolar and relatively low-polarity compounds. Here we build upon recent work with SFC of polar and ionic compounds and peptides, and we compare the LC/MS and SFC/MS of a diverse library of druglike compounds. A total of 75.0% of the library compounds were eluted and detected by SFC/MS, while 79.4% were eluted and detected by LC/MS. Some samples provided strong peaks that appeared to be related to the purported compound contained in the sample. When these were added to the "hits", the numbers rose to 86.7 and 89.9%, respectively. A total of 3.7% of the samples were observed by SFC/MS, but not by LC/MS, and 8.1% of the samples were observed by LC/MS, but not by SFC/MS. The only compound class that appeared to be consistently detected in LC/MS, but not in SFC/MS under our conditions, consisted of compounds containing a phosphate, a phosphonate, or a bisphosphonate. The SFC/MS method was at least as durable, reliable, and user-friendly as the LC/MS method. The APCI source required less cleaning during the SFC/MS separations than it did during LC/MS.     

Polyphenol identification based on systematic and robust high-resolution accurate mass spectrometry fragmentation

High-mass resolution multi-stage mass spectrometry (MS(n)) fragmentation was tested for differentiation and identification of metabolites, using a series of 121 polyphenolic molecules. The MS(n) fragmentation approach is based on the systematic breakdown of compounds, forming a so-called spectral tree. A chip-based nanoelectrospray ionization source was used combined with an ion-trap, providing reproducible fragmentation, and accurate mass read-out in an Orbitrap Fourier transform (FT) MS enabling rapid assignment of elemental formulas to the molecular ions and all fragment ions derived thereof. The used protocol resulted in reproducible MS(n) fragmentation trees up to MS(5). Obtained results were stable over a 5 month time period, a concentration change of 100-fold, and small changes in normalized collision energy, which is key to metabolite annotation and helpful in structure and substructure elucidation. Differences in the hydroxylation and methoxylation patterns of polyphenolic core structures were found to be reflected by the differential fragmentation of the entire molecule, while variation in a glycosylation site displayed reproducible differences in the relative intensities of fragments originating from the same aglycone fragment ion. Accurate MS(n)-based spectral tree data are therefore a powerful tool to distinguish metabolites with similar elemental formula, thereby assisting compound identification in complex biological samples such as crude plant extracts.     

Automated 20 kpsi RPLC-MS and MS/MS with chromatographic peak capacities of 1000-1500 and capabilities in proteomics and metabolomics

Proteomics analysis based-on reversed-phase liquid chromatography (RPLC) is widely practiced; however, variations providing cutting-edge RPLC performance have generally not been adopted even though their benefits are well established. Here, we describe an automated format 20 kpsi RPLC system for proteomics and metabolomics that includes on-line coupling of micro-solid phase extraction for sample loading and allows electrospray ionization emitters to be readily replaced. The system uses 50 microm i.d. x 40-200 cm fused-silica capillaries packed with 1.4-3-microm porous C18-bonded silica particles to obtain chromatographic peak capacities of 1000-1500 for complex peptide and metabolite mixtures. This separation quality provided high-confidence identifications of >12 000 different tryptic peptides from >2000 distinct Shewanella oneidensis proteins (approximately 40% of the proteins predicted for the S. oneidensis proteome) in a single 12-h ion trap tandem mass spectrometry (MS/MS) analysis. The protein identification reproducibility approached 90% between replicate experiments. The average protein MS/MS identification rate exceeded 10 proteins/min, and 1207 proteins were identified in 120 min through assignment of 5944 different peptides. The proteomic analysis dynamic range of the 20 kpsi RPLC-ion trap MS/MS was approximately 10(6) based on analyses of a human blood plasma sample, for which 835 distinct proteins were identified with high confidence in a single 12-h run. A single run of the 20 kpsi RPLC-accurate mass MS detected >5000 different compounds from a metabolomics sample.     

Information-dependent acquisition-mediated LC-MS/MS screening procedure with semiquantitative potential

The development of a LC-MS/MS general unknown screening procedure for toxicologically relevant substances in blood samples by means of information-dependent acquisition on a Q-TOF is reported. IDA is an artificial intelligence-based product ion scan mode providing automatic "on-the-fly" MS to MS/MS switching. By performing information-dependent scanning at two different fragmentation energies, two collision-induced dissociation product ion spectra for each of the detected compounds are generated. As such, information-rich MS/MS spectra are obtained from precursor ions not known beforehand. In addition, limitation of the MS/MS acquisition time to an acceptable minimum resulted in an almost instantaneous switch back to the MS mode. As such, this approach provided MS chromatograms that still could be of use for semiquantitative purposes. Since the switching intensity threshold, unequivocally related to the background noise, proved a critical parameter, the solid-phase extraction procedure, the liquid chromatographic conditions, and the mass spectrometric parameters all were optimized to the advantage of information-dependent acquisition. Finally, the screening procedure we developed was benchmarked, on one hand, qualitatively against the results obtained from traditional GUS approaches in a number of routine toxicological laboratories (20 samples) and, on the other hand, quantitatively with respect to its potential against established LC-MS/MS methods (7 samples). The procedure performed very well from a qualitative point of view; almost all of the drugs detected by the conventional techniques were identified, as well as additional drugs that were not previously reported. The procedure proved well-suited for an initial semiquantitative assessment, as is customary in, for example, forensic toxicology before accurate intoxication levels are determined using targeted analytical analyses.