LC-MS in analytical toxicology: some practical considerations

Liquid chromatography, coupled with single-stage or tandem mass spectrometry, is a powerful tool increasingly used in analytical toxicology. However, the atmospheric pressure ionization processes involved are complex, and subject to interference from matrix components, for example. Further, the techniques used in sample preparation, chromatography and mass analysis are developing rapidly. An understanding of the advantages and limitations of LC-MS ensures appropriate analyses are performed, and that reliable results are generated. Consideration should be given to the influence of the sample preparation and chromatographic conditions on the ionization of the analyte at the mass spectrometer interface. This review aims to provide some practical guidance and examples to aid method development for commonly encountered analytes in analytical toxicology.     

MALDI-TOF and cluster-TOF-SIMS imaging of Fabry disease biomarkers

Fabry disease is an X-linked disorder of glycosphingolipid metabolism, in which a partial or total deficiency of α-galactosidase A, a lysosomal enzyme, results in the progressive accumulation of neutral glycosphingolipids (globotriaosylceramide and digalactosylceramide) in most fluids and tissues of the body. Few information is available about the composition and distribution in tissues of the accumulated glycosphingolipids species. Mass spectrometry imaging is an innovative technique, which can provide pieces of information about the distribution of numerous biological compounds, such as lipids, directly on the tissue sections. MALDI-TOF and cluster-TOF-SIMS imaging approaches were used to study the localization of lipids (cholesterol, cholesterol sulfate, vitamin E, glycosphingolipids …) on skin and kidney sections of patients affected by the Fabry disease. Numerous information on pathophysiology were enlightened by both techniques.     

Machine computation of equilibrium concentrations-some practical considerations

The calculation of equilibrium concentrations in solution by means of seven published computer programs is critically evaluated. Six equilibrium systems were chosen to illustrate the capabilities of these programs. It was found, in general, that the choice of algorithm determines the efficiency of program execution. In all cases studied the problems were most rapidly solved by a modified Newton-Raphson approach that employs Choleski factoring.     

Single-molecule force-clamp spectroscopy: dwell time analysis and practical considerations

Single-molecule force-clamp spectroscopy has become a powerful tool for studying protein folding/unfolding, bond rupture, and enzymatic reactions. Different methods have been developed to analyze force-clamp spectroscopy data on polyproteins to obtain kinetic parameters characterizing the mechanical unfolding of proteins, which are often modeled as a two-state process (a Poisson process). However, because of the finite number of domains in polyproteins, the statistical analysis of the force-clamp spectroscopy data is different from that of a classical Poisson process, and the equivalency of different analysis methods remains to be proven. In this article, we show that these methods are equivalent and lead to accurate measurements of the unfolding rate constant. We also demonstrate that distinct from the constant-pulling-velocity experiments, in which the unfolding rate extracted from the data is dependent on the number of protein domains in the polyproteins (the N effect), force-clamp experiments do not show any N effect. Using a simulated data set, we also highlighted important practical considerations that one needs to take into account when using the single-molecule force-clamp spectroscopy technique to characterize the unfolding energy landscape of proteins.     

Quantitation of surface-bound proteins on biochips using MALDI-TOF MS

We report on a novel method for the quantitation of proteins specifically bound on a ligand-presenting biochip by matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS). The bound protein was digested by trypsin, and the resulting peptide fragments were analyzed by MALDI-TOF MS in the presence of an isotope-labeled internal standard (IS). The IS has the same sequence as a reference peptide (RP) of the target protein digest, but a different molecular weight. The absolute amount of the specifically bound protein on a biochip is then quantitated by comparison of mass intensities between the RP and the IS. Because they have the same molecular milieu, the mass intensities of these two analytes represent the real amounts of analytes on the chip. As a model system, we tested glutathione s-transferase (GST) and a GST-fusion protein, which were captured on glutathione-presenting biochips. We observed that the glutathione densities on biochips showed a good correlation with the absolute quantity of the proteins. We believe that our method will provide an alternative to currently existing tools for the absolute quantitation of surface-bound proteins.     

Dielectric spectroscopy in a micromachined flow cytometer: theoretical and practical considerations

We propose a model to determine the influence of different cell properties, such as size, membrane capacitance and cytoplasm conductivity, on the impedance spectrum as measured in a microfabricated cytometer. A dielectric sphere of equivalent complex permittivity is used as a simplified model to describe a biological cell. The measurement takes place between a pair of facing microelectrodes in a microchannel filled with a saline solution. The model incorporates various cell parameters, such as dielectric properties, size and position in the channel. A 3D finite element model is used to evaluate the magnitude of the electric field in the channel and the resultant changes in charge densities at the measurement electrode boundaries as a cell flows past. The charge density is integrated on the electrode surface to determine the displacement current and the channel impedance for the computed frequency range. The complete impedance model combines the finite element model, the electrode-electrolyte interface impedance and stray impedance, which are measured from a real device. The modeled dielectric complex spectra for various cell parameters are discussed and a measurement strategy for cell discrimination with such a system is proposed. We finally discuss the amount of noise and measurement fluctuations of the sensor.     

Dissipation of charge on MALDI-TOF polymeric chips using an electron-acceptor: analysis of proteins

Disposable polymeric devices used for direct sample pretreatment/signal enhancement and MALDI-MS analyses of biomolecules suffer from the accumulation of electric charge and related positive mass shifts due to photoelectric effects on non-conductive surfaces after irradiation with lasers. The effects of surface charging on the mass shift of protein spectra during MALDI-TOF/MS measurements on copolymeric sample array chips were studied. Methyl viologen is used to monitor the development of charge and is demonstrated to be an effective electron scavenger. The use of such reducible species leads to increased accuracy, signal homogeneity, and resolution for mass spectral measurements of proteins in mixtures with sinapinic and 2,5-dihydroxybenzoic (DHB) acids. This approach can be used on a wide range of nonconductive support materials.     

A comparison of capillary-scale LC-NMR with alternative techniques: spectroscopic and practical considerations

Experimental and practical details for the use of capillary LC (CapLC)-NMR are reported. The capillary NMR probe has high sensitivity and excellent flow characteristics and we found CapLC-NMR to be best suited to samples that are truly mass limited. CapLC-NMR relies on good capillary-scale chromatography where highly concentrated peaks with a volume closely matched to the NMR flow cell are achievable. Provided that the loading capacity of the capillary column is not limiting, the combination of high sensitivity and high solvent suppression quality makes CapLC-NMR an excellent choice. For many real samples, however, the loading is limiting and we found the combination of LC-SPE-MS-NMR with a cryoprobe enables more material to be purified for NMR analysis, while retaining sensitivity.     

MALDI-TOF and MALDI-FTICR imaging mass spectrometry of methamphetamine incorporated into hair

A new approach is described for imaging mass spectrometry (IMS) of methamphetamine (MA) incorporated into human hair using matrix-assisted laser desorption/ionization (MALDI)-time-of-flight (TOF) and MALDI-Fourier transform ion cyclotron resonance (FTICR). A longitudinal section of a lengthwise manually-cut single human hair shaft from a chronic MA user was directly analyzed by MALDI-TOF-IMS after deposited with α-Cyano-4-hydroxycinnamic acid matrix. A barcode-like image, which was most probably generated with repeated intakes of MA, was for the first time obtained by monitoring MA-specific product ion in the selected reaction monitoring mode. Laser beam scan lengthwise-cut hair shafts gave only poor mass spectra of MA, probably due to the loss of MA and/or the thermal denaturation of hair. The identity of MA detected in hair was further confirmed by MALDI-FTICR mass spectrometry. A combination with ultra-high resolution mass spectrometry by FTICR provided indisputable identification of MA. The MALDI-FTICR-IMS of another hair shaft from the same MA user also provided a barcode-like image by monitoring the protonated molecule of MA with ultra-high resolution. The two barcode-like images exhibited a close resemblance. Thus, MALDI-IMS can offer a new perspective: 'imaging hair analyses for drugs'.     

Sequential paired covariance for improved visualization of mass spectrometry imaging datasets

Untargeted analyses in mass spectrometry imaging produce hundreds of ion images representing spatial distributions of biomolecules in biological tissues. Due to the large diversity of ions detected in untargeted analyses, normalization standards are often difficult to implement to account for pixel-to-pixel variability in imaging studies. Many normalization strategies exist to account for this variability, but they largely do not improve image quality. In this study, we present a new approach for improving image quality and visualization of tissue features by application of sequential paired covariance (SPC). This approach was demonstrated using previously published tissue datasets such as rat brain and human prostate with different biomolecules like metabolites and N-linked glycans. Data transformation by SPC improved ion images resulting in increased smoothing of biological features compared with commonly used normalization approaches.     

Investigation of drug-cyclodextrin complexes by a phase-distribution method: some theoretical and practical considerations

The purpose of the study was to evaluate an octanol-water phase distribution method for investigation of drug/cyclodextrin (D/CD) complexes and to compare stability constant values obtained by this method to values obtained by the phase solubility method. A general equation for determination of 1 : 1 D/CD complex stability constant (K1 : 1) from the slope of a phase-distribution diagram (a diagram of the reciprocal of the apparent partition coefficient vs. the total CD concentration) was derived. The equation accounted for the possible inclusion of the organic solvent in the CD cavity and the gradual saturation of the CD binding with increasing concentration of the guest compound. This method was used to determine K1 : 1 for 2-hydroxypropyl-beta-cyclodextrin (HPbetaCD) complexes of hydrocortisone, prednisolone, diazepam, beta-estradiol and diethylstilbestrol. These values were comparable to K1 : 1 values determined by the phase-solubility method. The phase-distribution method could also be applied to determine stability constants for the neutral and ionic forms of the weakly acidic drugs, naproxen and triclosan and the weakly basic drug lidocaine. The phase-distribution method is a very versatile and fast method and has the advantage, compared to the phase-solubility method, that it only requires very small drug samples. Thus, this method would be suitable for screening of new drug candidates.     

High-resolution MALDI-TOF mass spectrometry of bacterial proteins using a Tris-EDTA buffer approach

The performance of matrix assisted laser desorption-ionization time of flight mass spectrometry (MALDI-TOF) of bacterial proteins strongly depends on sample preparation. It is found that the mass spectral profiles obtained from direct MALDI-TOF MS of the protein extracts are much weaker for individual bacterial cells than compared to those prepared by the Tris-EDTA buffer approach (TEBA). Characteristic mass spectral peaks were observed in the mass range from 3,000 to 15,000?Da. The mass peaks reported earlier and claimed to serve as species-specific biomarkers are consistently found here as well. Mass peaks at m/z of 3636, 5466, 5750, 6315, 6547, 7274, 9192, and 9742 are found for Escherichia coli studied and assigned as specific biomarkers. Similarly, specific mass peaks have been identified at m/z 5443, 7270, 7724, and 9888 for Bacillus subtilis, and at 3603, 5496, 6800, 8858 and 9531 for Serratia marcescens. The detection limits for the three target bacteria range from 2.4?×?10⁵ to 3.3?×?10⁵?cfu·mL^-1. We conclude that the TE buffer approach can produce reliable data for rapid classification, high-resolution and highly sensitive detection of bacteria.

Technical innovations for the automated identification of gel-separated proteins by MALDI-TOF mass spectrometry

The combination of gel-based two-dimensional protein separations with protein identification by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) is the workhorse for the large-scale analyses of proteomes. Such high-throughput proteomic approaches require automation of all post-separation steps and the in-gel digest of proteins especially is often the bottleneck in the protein identification workflow. With the objective of reaching the same high performance of manual low-throughput in-gel digest procedures, we have developed a novel stack-type digestion device and implemented it into a commercially available robotic liquid handling system. This modified system is capable of performing in-gel digest, extraction of proteolytic peptides, and subsequent sample preparation for MALDI-MS without any manual intervention, but with a performance at least identical to manual procedures as indicated on the basis of the sequence coverage obtained by peptide mass fingerprinting. For further refinement of the automated protein identification workflow, we have also developed a motor-operated matrix application device to reproducibly obtain homogenous matrix preparation of high quality. This matrix preparation was found to be suitable for the automated acquisition of both peptide mass fingerprint and fragment ion spectra from the same sample spot, a prerequisite for high confidence protein identifications on the basis of peptide mass and sequence information. Due to the implementation of the stack-type digestion device and the motor-operated matrix application device, the entire platform works in a reliable, cost-effective, and sensitive manner, yielding high confidence protein identifications even for samples in the concentration range of as low as 100 fmol protein per gel plug.      

Multivariate analysis of extremely large ToFSIMS imaging datasets by a rapid PCA method

Principal component analysis (PCA) and other multivariate analysis methods have been used increasingly to analyse and understand depth profiles in X‐ray photoelectron spectroscopy (XPS), Auger electron spectroscopy (AES) and secondary ion mass spectrometry (SIMS). These methods have proved equally useful in fundamental studies as in applied work where speed of interpretation is very valuable. Until now these methods have been difficult to apply to very large datasets such as spectra associated with 2D images or 3D depth‐profiles. Existing algorithms for computing PCA matrices have been either too slow or demanded more memory than is available on desktop PCs. This often forces analysts to ‘bin’ spectra on much more coarse a grid than they would like, perhaps even to unity mass bins even though much higher resolution is available, or select only part of an image for PCA analysis, even though PCA of the full data would be preferred. We apply the new ‘random vectors’ method of singular value decomposition proposed by Halko and co‐authors to time‐of‐flight (ToF)SIMS data for the first time. This increases the speed of calculation by a factor of several hundred, making PCA of these datasets practical on desktop PCs for the first time. For large images or 3D depth profiles we have implemented a version of this algorithm which minimises memory needs, so that even datasets too large to store in memory can be processed into PCA results on an ordinary PC with a few gigabytes of memory in a few hours. We present results from ToFSIMS imaging of a citrate crystal and a basalt rock sample, the largest of which is 134GB in file size corresponding to 67 111 mass values at each of 512 × 512 pixels. This was processed into 100 PCA components in six hours on a conventional Windows desktop PC. © 2015 The Authors. Surface and Interface Analysis published by John Wiley & Sons Ltd.     

Fluorine-NMR experiments for high-throughput screening: theoretical aspects,practical considerations,and range of applicability

Competition ligand-based NMR screening experiments have recently been introduced to overcome most of the problems associated with traditional ligand-based NMR screening. Molecules with marginal solubility and high affinity for a given target can be easily identified in a high-throughput manner by screening chemical mixtures against the target in the presence of a weak- to medium-affinity ligand of known binding constant. While the original competition-based approaches utilized (1)H detection, significant advantages are obtained using (19)F detection. The absence of spectral overlap permits the screening of large chemical mixtures and allows for automated analysis of the spectra, even in the presence of protonated buffers, solvents, and detergents. The large chemical shift anisotropy of fluorine and the significant exchange contribution allow for the selection of a weak-affinity spy molecule, thus resulting in a lower binding affinity threshold for the identified NMR hits. The method, labeled FAXS (fluorine chemical shift anisotropy and exchange for screening) is rapid and requires only a limited amount of protein and, therefore, compares favorably with the other established non-NMR techniques used in high-throughput screening. Herein the theoretical aspects of this powerful (19)F-based approach are presented and discussed in detail. The experimental conditions together with the detection limits and binding constant measurements are investigated using human serum albumin as the target.     

Protein immunoassay methods for detection of biotech crops: applications,limitations, and practical considerations

Immunoassay methods are available for detection and quantitation of proteins expressed by most biotechnology-derived crops in commercial production. The 2 most common test formats are enzyme-linked immunosorbent assay (ELISA) and immunochromatographic (lateral flow) strip tests. Two ELISA methods, one for Roundup Ready soybeans and one for MON810 CrylAb corn, were the subject of large international collaborative studies and were demonstrated to quantitatively determine the concentrations of biotech crops in samples of ground grain. Quantitative ELISA methods are also useful for analysis of processed fractions of agricultural commodities such as soybean toasted meal or corn flour. Both strip tests and ELISAs for biotech crops are currently being used on a large scale in the United States to manage the sale and distribution of grain. In these applications, tests are used to determine if the concentration of biotech grain is above or below specified threshold limits. Using existing U.S. Department of Agriculture sampling techniques, the reliability of the threshold determination is expressed in terms of statistical confidence rather than analytical precision. Combining the use of protein immunoassays with Identity Preservation systems provides an effective means of characterizing the raw and processed agricultural inputs to the food production system in a way that allows food producers to comply with labeling laws.     

Using MALDI-TOF MS coupled with a high-mass detector to directly analyze intact proteins in thyroid tissues

Protein analysis is vital for biological and clinical research, but the measurement of unseparated, intact and high-mass proteins is also a challenging task by mass spectrometry-based methods. Here, we present a protocol for rapid and high-throughput analysis of intact proteins in tissue samples using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry(MALDITOF MS) combined with a high-mass detector platform. The method involves tissue specimens that undergo a simple protein extraction before MALDI-MS analysis. Using this method, the high abundance proteins in human thyroid carcinoma and paracarcinoma tissues were successfully investigated, and the mass spectra of the tissues of the 30 illustrated thyroid cancers showed remarkable differences. The peak intensity revealed a significant increase in human albumin in thyroid carcinoma tissues(p0.05). To validate the feasibility and credibility of this method, label-free proteomics quantitative analysis and Western blotting were used to relatively quantify the proteins in these tissues. Those results demonstrated a nearly 3-fold difference in human albumin levels between thyroid carcinoma and para-carcinoma tissues, which were consistent with the results of our method. The advantages of our method are easy sample handling, remarkable reproducibility and the ability to analyze high-mass proteins without digestion, which make them have the potential to be used in biological research and in clinical practice.     

Analysis of Cibacron blue F3G-A interaction with therapeutic proteins by MALDI-TOF mass spectrometry

The formation of the complexes between Cibacron blue F3G-A and two therapeutic proteins, recombinant human interferon-alpha2b and recombinant human growth hormone, was investigated. The method of time-resolved limited proteolysis coupled with MALDI-TOF mass spectrometry was used. The analysis of peptide maps revealed that A(17)HR(19) and L(20)HQLAFDTYQEFEEAYIPK(38) of hGH, and R(14)TLMLLAQMR(23) and D(33)RHDFGFPQEEFGNQFQK(50) of hIFN-alpha2b, exhibit affinity to Cibacron blue F3G-A. Copyright (c) 2008 John Wiley & Sons, Ltd.