On the mature of the chemical noise in MALDI mass spectra

The so-called "chemical noise background" imposes a major limit on the practical sensitivity of MALDI mass spectrometry. Typically, as the amount of material of interest subjected to MALDI analysis is reduced, the signal decreases to the point where it can no longer be differentiated from the chemical noise. Using a newly designed MALDI-ion trap mass spectrometer, we describe experiments intended to throw light on the nature of the chemical noise background and to reduce its effects. Single-stage mass spectrometric signals from peptides were observed to disappear into the noise when the amount of sample applied to the MALDI sample stage was decreased to less than a femtomole. At these low levels, analysis of the collision-induced fragmentation spectra revealed the presence of ions originating from the peptide as well as cluster ions that originate from the chemical noise. The fragmentation pattern arising from dissociation of the cluster species suggests that they are composed largely of matrix molecules. A significant fraction of these cluster ions can be dissociated at activation energies lower than the threshold for peptide fragmentation. We used this finding to collisionally pre-activate MALDI ions to remove a significant portion of the chemical noise from the spectrum, allowing us to obtain readily discernible single stage MS signals from 100 attomols of peptide. The strategy also yielded high quality MS/MS spectra from 100 attomols of peptide. Different possibilities of collisional pre-activation for improving sensitivity are considered.     

PeakSelect: preprocessing tandem mass spectra for better peptide identification

We present a new preprocessing method, PeakSelect, to improve the accuracy and efficiency of Tandem Mass-Spec peptide (protein) identification. The fundamental difference between noise and fragment ions in spectra is that ions have isotopes but noise does not. We propose a new and important concept of an Isotope Pattern Vector (IPV) which characterizes the isotope cluster of fragment ions. Then the noise and real peaks can be distinguished by the quantitative IPV values. PeakSelect first uses a new method of the Gaussian Mixture Model and Expectation-Maximization (EM) algorithm to find the base intensity level (baseline) in a spectrum. Then PeakSelect selects features based on the IPV and baseline, and constructs a decision tree to automatically classify the peaks into different categories such as noise, single ion peaks, and overlapping peaks. Experiments show that PeakSelect can help to reduce the Mascot searching time and increase the reliability of peptide identifications. In particular, PeakSelect performs well on complex spectra with a large number of peaks from large peptides, and supports more sequence identification than other well-known systems.     

Non-linear signal response functions and their effects on the statistical and noise cancellation properties of isotope ratio measurements by multi-collector plasma mass spectrometry

A nebulizer-centric response function model of the analytical inductively coupled argon plasma ion source was used to investigate the statistical frequency distributions and noise reduction factors of simultaneously measured flicker noise limited isotope ion signals and their ratios. The response function model was extended by assuming i) a single gaussian distributed random noise source (nebulizer gas pressure fluctuations) and ii) the isotope ion signal response is a parabolic function of the nebulizer gas pressure.Model calculations of ion signal and signal ratio histograms were obtained by applying the statistical method of translation to the non-linear response function model of the plasma. Histograms of Ni, Cu, Pr, Tl and Pb isotope ion signals measured using a multi-collector plasma mass spectrometer were, without exception, negative skew. Histograms of the corresponding isotope ratios of Ni, Cu, Tl and Pb were either positive or negative skew. There was a complete agreement between the measured and model calculated histogram skew properties.The nebulizer-centric response function model was also used to investigate the effect of non-linear response functions on the effectiveness of noise cancellation by signal division. An alternative noise correction procedure suitable for parabolic signal response functions was derived and applied to measurements of isotope ratios of Cu, Ni, Pb and Tl. The largest noise reduction factors were always obtained when the non-linearity of the response functions was taken into account by the isotope ratio calculation.Possible applications of the nebulizer-centric response function model to other types of analytical instrumentation, large amplitude signal noise sources (e.g., lasers, pumped nebulizers) and analytical error in isotope ratio measurements by multi-collector plasma mass spectrometry are discussed.     

A technique for estimating contamination tolerance limits for stable isotope ratio determinations

A model of the interaction between the precision of an isotope ion signal measurement and the accuracy of an isotope ratio determination was developed and used to derive the equations required to calculate the maximum tolerable amount of contamination for stable isotope ratio determinations. Comparison of the calculated tolerance limits and the blank estimated amount of contaminant will establish whether or not a correction for the contribution of the contaminant to the gross signals will be required. The 1000:1 sample-to-contaminant concentration tolerance limit used in stable isotope ratio plasma mass spectrometry will, in some situations, underestimate the contamination error compared to the model calculations.Derivation of the limit equations required an empirically determined relation between the signal strength and the signal's relative standard deviation (signal noise function). A single hyperbolic signal noise function was used to describe the behaviour of isotope ion signals of Ni, Cu, Tl and Pb measured using a plasma source double focusing magnetic sector mass spectrometer. The derivation could be extended to accommodate different signal noise functions.     

A method based on stochastic resonance for the detection of weak analytical signal

An effective method for detection of weak analytical signals with strong noise background is proposed based on the theory of stochastic resonance (SR). Compared with the conventional SR-based algorithms, the proposed algorithm is simplified by changing only one parameter to realize the weak signal detection. Simulation studies revealed that the method performs well in detection of analytical signals in very high level of noise background and is suitable for detecting signals with the different noise level by changing the parameter. Applications of the method to experimental weak signals of X-ray diffraction and Raman spectrum are also investigated. It is found that reliable results can be obtained.     

Reduction of chemical noise in electrospray ionization mass spectrometry by supplemental IR activation

Supplemental infrared (IR) activation was applied to reduce background chemical noise and increase analyte ion signal in a linear ion trap mass spectrometer. Peptides, proteins, and small molecules were all introduced by electrospray ionization, and when regions of chemical noise were isolated and subjected to IR irradiation, protonated analyte molecules were observed in the product ion mass spectra. By isolating the entire mass range (e.g., m/z 400–2000) and then irradiating all ions in the trap, supplemental IR activation increased the signal of singly protonated peptides by almost 70% and by 40%–55% for the lower charge states of cytochrome c. This increase in analyte ion signal was less dramatic for the higher charge states of peptides and proteins. The chemical noise present in the mass spectra is attributed to incomplete desolvation of the electrospray, as the abundance of the protonated peptides observed upon supplemental IR activation of the chemical noise decreased with higher inlet capillary temperatures. Collision activation was not as effective for desolvating the ions present in the chemical noise.     

Automated deconvolution and deisotoping of electrospray mass spectra

Electrospray ionization (ESI) of peptides and proteins produces a series of multiply charged ions with a mass/charge (m/z) ratio between 500 and 2000. The resulting mass spectra are crowded by these multiple charge values for each molecular mass and an isotopic cluster for each nominal m/z value. Here, we report a new algorithm simultaneously to deconvolute and deisotope ESI mass spectra from complex peptide samples based on their mass-dependent isotopic mean pattern. All signals corresponding to one peptide in the sample were reduced to one singly charged monoisotopic peak, thereby significantly reducing the number of signals, increasing the signal intensity and improving the signal-to-noise ratio. The mass list produced could be used directly for database searching. The developed algorithm also simplified interpretation of fragment ion spectra of multiply charged parent ions.     

Effect of local background intensities in the normalization of cDNA microarray data with a skewed expression profiles

Normalization of the data of cDNA microarray is an obligatory step during microarray experiments due to the relatively frequent non-specific errors. Generally, normalization of microarray data is based on the null hypothesis and variance model. In the Yang's model (Yang et al., 2001), at least two types of noises are included. The one is additive noise and the other is multiplicative noise. Usually, background is considered as one of additive noise to the signal and the variation between the signal pixels is the representative multiplicative noise. In this study, the relation between the signal (spot intensity minus background intensity) and background was observed and the influence of background on normalization as a representative additive factor was investigated. Although the relation has not been considered as a factor affecting the normalization, it could improve the accuracy of microarray data when the normalization was carried out considering signal/background ratio. The background dependent normalization decreased the number of genes whose expression levels were changed significantly and it could make their distribution more consistent through the whole range of signal intensities. In this study, printing pin dependent normalization was also carried out regarding the printing pin as a representative multiplicative noise. It improved the distribution of spots in the Cy3-Cy5 scatter plot, but its effect was slight. These studies suggest that there are some influences of the signals on the local backgrounds and they must be considered for the normalization of cDNA microarray data.     

Facile assignment of sequence ions of a peptide labelled with 18O at the carboxyl terminus.

The combination of collision-induced dissociation (CID) and linked-scan analysis was used for analysing the sequence ions from the precursor ion of a peptide, which had been labelled with 18O at its carboxyl terminus (C-terminus) using 40 atom % H2 18O. The CID and linked-scan mass spectrum of the labelled peptide gave two series of sequence-ion signals: the one, originating from the C-terminus of the labelled peptide, showed a doublet signal due to the part-incorporation of 18O into the carboxyl group at the C-terminus, while the other, originating from the amino terminus (N-terminus), has the natural isotopic ion distribution. From the distribution of the isotopic ions in a single CID spectrum, the sequence ions containing the C-terminus could be readily differentiated from those containing the N-terminus, allowing the facile assignment of sequence ions to the amino-acid sequence of a peptide by CID and linked-scan analysis. This method was successfully applied to determination of the amino-acid sequence of the light-chain of mouse anti-porphyrin monoclonal antibody.     

Protein desolvation in UV matrix-assisted laser desorption/ionization (MALDI)

We describe experiments in MALDI-TOF and MALDI-TOF-TOF showing that the ejection of protein-matrix cluster ions and their partial decay in the source occur in MALDI. The use of radial beam deflection and small size detector in linear mode allows detection of ions with higher time-of-flight and kinetic energy deficit. MALDI-TOF-TOF experiments were carried out by selecting chemical noise ions at m/z higher than that of a free peptide ion. Whatever the selected m/z (up to m/z 300) the molecular peptide ion appeared as the main fragment. The production of protein-matrix clusters and their partial decay in the source was found to increase with the size of the protein (MW from 1000 to 150,000 u), although it decreases with increasing charge state. These effects were observed for different matrices (HCCA and SA) and in a large laser fluence range. Experimental results and calculation highlight that a continuous decay of protein-matrix cluster ions occurs in the source. This decay-desolvation process can account for the high-mass tailing and peak shifting as well as the strong noise/background in the mass spectra of proteins.     

Improving the analytical performance of ion mobility spectrometer using a non-radioactive electron source

For the ionization of gas mixtures, several ionization sources can be coupled to an ion mobility spectrometer. Radioactive sources, e.g. beta radiators like ⁶³Ni and ³H, are the most commonly used ionization sources. However, due to legal restrictions radioactive ionization sources are not applicable in certain applications. Non-radioactive alternatives are corona discharge ionization sources or photoionization sources. However, using an electron gun allows regulation of ion production rate, ionization time and recombination time by simply changing the operating parameters, which can be utilized to enhance the analytical performance of ion mobility spectrometers. In this work, the impact of an ionization source parameter variation on the ion mobility spectrum is demonstrated. Increasing the ion production rate, the amount of the generated ions increases leading to higher signal intensity while the noise remains constant. Thus, the signal to noise ratio can be increased, leading to better limits of detection. In a next step, the ion production rate is kept constant while the influence of ionization time on the ion mobility spectrum is investigated. It is shown, that varying the ionization time allows the determination of the reaction rate constants as additional information to the ion mobility. Furthermore, we show the prevention of discrimination processes by using short ionization times combined with an increased ion production rate. Thus, the limit of detection for benzene in presence of toluene is improved. Additionally, it is shown that using ion-ion recombination leads to the detection of the ion species with the highest proton affinity at higher recombination times while the low proton affine ions already recombined. Thus, the measurement of the ion mobility spectra at a defined recombination time allows a suppression of disturbing low proton affine substances.     

磺基异硫氰酸苯酯化学辅助方法对新蛋白质进行从头测序

利用基质辅助激光解吸电离-串联飞行时间(MALDI-TOF-TOF)质谱结合磺基异硫氰酸苯酯化学辅助的方法对一种从拟青霉(Paecilomyces bainier)分离纯化到的新人参皂苷Rb1水解酶的部分肽段进行了从头测序. 共获得了这个新蛋白质8条肽段的序列, 一些磺化后信噪比非常低的肽段也获得了比较完整的序列. 同时通过从头测序分析确定了一对甲硫氨酸非氧化和氧化肽段的序列. 结果表明, 磺化后的肽段离子化效率大大增强, 在PSD(源后裂解)过程中只有肽键断裂产生的C端的碎片离子系列(y离子系列)出现在质谱图中, 图谱背景清晰, 信噪比高, 单纯的y离子系列使得图谱解析变得非常容易. 将这8条序列在NCBI(美国国立生物技术信息中心)数据库中进行BLAST(蛋白质序列比对工具)检索印证这种β-葡萄糖甘酶是一个新蛋白质, 发现的两条相对保守的序列为进一步研究奠定了基础.     

Charge state separation for protein applications using a quadrupole time-of-flight mass spectrometer

A novel method for separating ions according to their charge state using a quadrupole time-of-flight mass spectrometer is presented. The benefits of charge state separation are particularly apparent in protein identification applications at low femtomole concentration levels, where in conventional TOF MS spectra peptide ions are often lost in a sea of chemical noise. When doubly and triply charged tryptic peptide ions need to be filtered from singly charged background ions, the latter are suppressed by two to three orders of magnitude, while from 10-50% of multiply charged ions remain. The suppression of chemical noise reduces the need for chromatography and can make this experimental approach the electrospray equivalent of conventional MALDI peptide maps. If unambiguous identification cannot be achieved, MS/MS experiments are performed on the precursor ions identified through charge separation, while the previously described Q2-trapping duty cycle enhancement is tuned for approximately 1.4 of the precursor m/z to enhance intensities of ions with m/z values above that of the precursor. The resulting product ion spectra contain few fragments of impurities and provide quick and unambiguous identification through database search. The multiple charge separation technique requires minimal tuning and may become a useful tool for analysis of complex mixtures.     

Characterization of typical chemical background interferences in atmospheric pressure ionization liquid chromatography-mass spectrometry

The structures and origins of typical chemical background noise ions in positive atmospheric pressure ionization liquid chromatography/mass spectrometry (API LC/MS) are investigated and summarized in this study. This was done by classifying chemical background ions using precursor and product ion scans on most abundant background ions to draw a family tree of the commonly occurring chemical background ions. The possible structures and the origins of the major chemical background noise are clearly revealed in the family trees. In agreement with some suggestions in the literature, the chemical background ions studied so far can be classified mainly as either ions of contaminants (or their degradation fragments) or cluster-related ones. A significant contribution from the contaminants (airborne, from tubing and/or solvents) from plasticizer additives (phthalates, phenyl phosphates, sebacates and adipates, etc.) and silicones is concluded. These ions of contaminants can also serve as nuclei for the clustering of HPLC solvent or additives, such as water and acetic acid, thereby leading to a second family of background ions. This study explains the persistence of some chemical background noise even under fairly strong declustering conditions in API LC/MS. One of the other interesting conclusions is that there is a clear difference in structures between the chemical background ions and the protonated analytes generated under atmospheric pressure ionization. This conclusion will contribute to the on-going research efforts to exclusively remove or reduce the interference of chemical background noise in API LC/MS.     

Prediction of product ion isotope ratios in the tandem electrospray ionization mass spectra from the second isotope of tryptic peptides: Identification of the variant <Emphasis Type="Italic">β</Emphasis>131 Gln→Glu,hemoglobin Camden

Many human hemoglobin variants occur in heterozygotes; that is, the variant and normal hemoglobins are present in the same sample. In a procedure for rapidly identifying such variants by mass spectrometry, mutations that increase the mass by 1 Da require a special approach. One of the steps in this procedure involves digesting the denatured hemoglobin with trypsin and analyzing the resulting peptide mixture by mass spectrometry to identify the mutant peptide. Generally the mutant peptide ion can then be selected as the precursor and sequenced by tandem mass spectrometry to identify or confirm the mutation. However, with heterozygotes in which the mass of the variant is 1 Da higher than normal, the first isotope of the mutant peptide occurs at essentially the same mass as the second isotope of the normal peptide, precluding analysis of the mutant peptide on its own. Product ions from the second isotope of a peptide are doublets, 1 Da apart. The way in which the relative abundance of the components in these doublets varies with the elemental composition of the product ions was predicted from the isotopic abundance of the elements and agreed well with experimental data. These results were applied to the identification of a variant that increases the mass by 1 Da in a heterozygote-that is, beta 131 Gln-->Glu, hemoglobin Camden.     

Identification of the chemical constituents of Chinese medicine Yi‐Xin‐Shu capsule by molecular feature orientated precursor ion selection and tandem mass spectrometry structure elucidation

The incomplete identification of the chemical components of traditional Chinese medicinal formula has been one of the bottlenecks in the modernization of traditional Chinese medicine. Tandem mass spectrometry has been widely used for the identification of chemical substances. Current automatic tandem mass spectrometry acquisition, where precursor ions were selected according to their signal intensity, encounters a drawback in chemical substances identification when samples contain many overlapping signals. Compounds in minor or trace amounts could not be identified because most tandem mass spectrometry information was lost. Herein, a molecular feature orientated precursor ion selection and tandem mass spectrometry structure elucidation method for complex Chinese medicine chemical constituent analysis was developed. The precursor ions were selected according to their two‐dimensional characteristics of retention times and mass‐to‐charge ratio ranges from herbal compounds, so that all precursor ions from herbal compounds were included and more minor chemical constituents in Chinese medicine were identified. Compared to the conventional automatic tandem mass spectrometry setups, the approach is novel and can overcome the drawback for chemical substances identification. As an example, 276 compounds from the Chinese Medicine of Yi‐Xin‐Shu capsule were identified.     

Application of ESI-FAIMS-MS to the analysis of tryptic peptides

High-field asymmetric waveform ion mobility spectrometry (FAIMS) separates gas-phase analyte ions from chemical background, offering substantial improvements in the detection of peptides from complex protein digests. For a digest of enolase 1 (baker's yeast), the focusing and separation offered by FAIMS produced an average intensity gain of 3.5 for the tryptic ions and reductions in background intensity of 5- to 10-fold when compared with ESI-MS. The increased signal-to-background in the ESI-FAIMS-MS experiment resulted in a greater number of identifiable peptides and therefore greater sequence coverage. Compensation voltage (CV) maps for a total of 282 tryptic peptides from thirteen proteins, generated according to charge-state, mass-to-charge ratios, and chain length, show that a majority of tryptic peptides can be detected by operating FAIMS at a few discrete values of CV rather than scanning CV across a wide range. The ability to reduce scanning requirements has potential benefits for coupling FAIMS with LC-MS. In select cases, FAIMS can be used to eliminate isobaric MS overlap between tryptic peptides; however, the primary advantage of FAIMS in an LC-FAIMS-MS analysis is foreseen to be the attenuation of chemical background noise rather than the separation of individual peptides. Using FAIMS to reduce mass spectral noise will offer improved detection of peptides from low abundance proteins in complex biological samples.     

Evaluation and correction of isotope ratio inaccuracy on inductively coupled plasma time-of-flight mass spectrometry

Isotope ratio measurements are found to have systematic bias when using the analog detection mode on an inductively coupled plasma time-of-flight (TOF) mass spectrometer. This bias is dependent upon the value of the ratio, the intensity of the signal, and the gain of the electron multiplier tube. The error should not appear if ion counting is employed instead of analog detection, although analog detection with time-of-flight has other distinct advantages. The cause of this isotope ratio inaccuracy is rooted in disproportionate recording of the analog signal because of the need to filter out noise by blocking analog signals below a threshold voltage. This attenuates smaller signals to a greater degree than larger signals. This variable “detection efficiency” causes a larger systematic error in the isotopic ratio as the isotopic abundances become more disparate. Ratios close to unity are generally accurate within the precision of the measurement. The use of an increased gain on the detector leads to improved ratio accuracy, but at the cost of decreased detector lifetime. This research presents a method of analyzing solutions using natural, known isotopic ratios to produce an efficiency correction curve. The average error of several isotope ratios for a 500 ng/mL solution of various elements with ratios between 3.4 and 10 was found to be 6.5% without correction, 3.0% with increased detector gain, 1.1% with efficiency correction and 0.6% with both increased gain and efficiency correction.     

Analysis of the stochastic variation in LTQ single scan mass spectra

A better understanding of the scan-to-scan signal intensity variation can lead to more sophisticated algorithms for database searching and de novo peptide sequencing using single scan mass spectra. In this study, we systematically studied the variation in relative intensity of m/z values in the single scan product ion mass spectra (MS2) derived from five representative precursor ions (MS1) collected using an LTQ linear ion trap under constant flow direct infusion conditions with peptide concentrations held constant. We applied a matching algorithm based on a pair hidden Markov model to align the peaks from each scan belonging to the same m/z value prior to assessing the signal intensity variation. The most significant single contributor to scan-to-scan signal intensity variation for high abundance ions was centroider error. Our study also showed that the variation in signal intensity is higher than what would be expected if the ion statistics derived from the dual geometry electron multiplier detector followed a Poisson distribution.     

C-terminal peptide sequencing using acetylated peptides with MSn in a quadrupole ion trap

MS/MS has been used to sequence peptides and small proteins for a number of years. This method allows one to isolate the peptide of interest, which makes it possible to analyze impure samples and unseparated mixtures, such as protein digests. Collision-induced dissociation (CID) of the selected peptide ion generates the product ions that provide sequence information. However, often the MS/MS spectrum does not provide adequate information for complete sequence determination. The quadrupole ion trap has the capability to do multiple stages of mass spectrometry, MSn, which can increase the information available to determine the peptide sequence. A regular and predictable dissociation pattern for peptides further simplifies this analysis. By forming predominantly one type of ion, ambiguity is removed as to whether the ion is N- or C-terminal. This pattern can also be advantageous in that ion intensity remains concentrated for the next stage of MS/MS. In this work, a method to take advantage of the MSn capabilities of the quadrupole ion trap by controlling the dissociation pathways is explored. Dissociation is altered by acetylating the N-terminus of the peptide. MSn of a variety of acetylated peptides is used to determine the effects of the identity of the C-terminal residue and the length of the peptide on the dissociation pathways observed.