Modification of magnetic anisotropy in metallic glasses using high-energy ion beam irradiation

Heavy ion irradiation in the electronic stopping power region induces macroscopic dimensional change in metallic glasses and introduces magnetic anisotropy in some magnetic materials. The present work is on the irradiation study of ferromagnetic metallic glasses, where both dimensional change and modification of magnetic anisotropy are expected. Magnetic anisotropy was measured using Mössbauer spectroscopy of virgin and irradiated Fe₄₀Ni₄₀B₂₀ and Fe₄₀Ni₃₈Mo₄B₁₈ metallic glass ribbons. 90 MeV ¹²⁷I beam was used for the irradiations. Irradiation doses were 5×10¹³ and 7.5×10¹³ ions/cm². The relative intensity ratios D ₂₃ of the second and third lines of the Mössbauer spectra were measured to determine the magnetic anisotropy. The virgin samples of both the materials display in-plane magnetic anisotropy, i.e., the spins are oriented parallel to the ribbon plane. Irradiation is found to cause reduction in magnetic anisotropy. Near-complete randomization of magnetic moments is observed at high irradiation doses. Correlation is found between the residual stresses introduced by ion irradiation and the change in magnetic anisotropy.     

Preparation of single-stranded PCR products for electrospray ionization mass spectrometry using the DNA repair enzyme lambda exonuclease

Electrospray ionization mass spectrometry (ESI-MS) has been utilized to obtain accurate mass measurements of intact PCR products; however, single-stranded PCR products are necessary to detect sequence modifications such as base substitutions, additions or deletions. The locations of these modifications can subsequently be determined using additional stages of mass spectrometry. The recombinant enzyme lambda exonuclease selectively digests one strand of a DNA duplex from a 5' phosphorylated end leaving the complementary strand intact. Using this rapid enzymatic step, we were able to produce single-stranded PCR products by digestion of an intact PCR product derived from the Human Tyrosine Hydroxylase (HUMTHO1) gene, which contains a tetrameric repeating motif. The non-template directed 3' adenylation common when using Taq polymerase resulted in three distinct species (blunt-ended, mono-adenylated and di-adenylated), which added complexity to the spectrum of the double-stranded product. The data from the single-stranded products shows that one strand is preferentially adenylated over the other, which cannot be determined from the mass spectrum of the double-stranded PCR product alone. The ESI-FTICR (Fourier transform ion cyclotron resonance) mass spectra of the lambda exonuclease treated PCR products exhibited less than expected signal-to-noise (S/N) ratios. This is attributed to inaccurate concentration calculations due to remaining double-stranded PCR product amplified with unphosphorylated primers, and to matrix effects contributed by the lambda exonuclease reaction buffer. To further test this hypothesis, we investigated and determined the limit of detection to be 0.27 microM using standard curve statistics for single acquisitions of a synthetic 75-mer. The concentrations of the noncoding and coding strands produced by lambda exonuclease digestion were calculated to be 0.29 and 0.37 microM, respectively, taking into account the presence of double-stranded product. The products were electrosprayed from concentrations at the limit of detection requiring the averaging of 5-10 acquisitions to produce a sufficient S/N ratio, indicating that product concentration, base composition and matrix effects play a combined, significant role in detection of lambda exonuclease treated PCR products. Although additional work will be required to further exploit this strategy, lambda exonuclease clearly provides mass spectrometrists with a method to generate single-stranded PCR products.     

Individuality Normalization when Labeling with Isotopic Glycan Hydrazide Tags (INLIGHT): A Novel Glycan-Relative Quantification Strategy

The Individuality Normalization when Labeling with Isotopic Glycan Hydrazide Tags (INLIGHT) strategy for the sample preparation, data analysis, and relative quantification of N-linked glycans is presented. Glycans are derivatized with either natural (L) or stable-isotope labeled (H) hydrazide reagents and analyzed using reversed phase liquid chromatography coupled online to a Q Exactive mass spectrometer. A simple glycan ladder, maltodextrin, is first used to demonstrate the relative quantification strategy in samples with negligible analytical and biological variability. It is shown that after a molecular weight correction attributable to isotopic overlap and a post-acquisition normalization of the data to account for any systematic bias, a plot of the experimental H:L ratio versus the calculated H:L ratio exhibits a correlation of unity for maltodextrin samples mixed in different ratios. We also demonstrate that the INLIGHT approach can quantify species over four orders of magnitude in ion abundance. The INLIGHT strategy is further demonstrated in pooled human plasma, where it is shown that the post-acquisition normalization is more effective than using a single spiked-in internal standard. Finally, changes in glycosylation are able to be detected in complex biological matrices, when spiked with a glycoprotein. The ability to spike in a glycoprotein and detect change at the glycan level validates both the sample preparation and data analysis strategy, making INLIGHT an invaluable relative quantification strategy for the field of glycomics.

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.