Most tandem mass spectrometry fragmentation spectra have small calibration errors that can lead to suboptimal interpretation and annotation. We developed SpectiCal, a software tool that can read mzML files from data-dependent acquisition proteomics experiments in parallel, compute / calibrations for each file prior to identification analysis based on known low-mass ions, and produce information about frequently observed peaks and their explanations. Using calibration coefficients, the data can be corrected to generate new calibrated mzML files. SpectiCal was tested using five public data sets, creating a table of commonly observed low-mass ions and their identifications. Information about the calibration and individual peaks is written in PDF and TSV files. This includes information for each peak, such as the number of runs in which it appears, the percentage of spectra in which it appears, and a plot of the aggregated region surrounding each peak. SpectiCal can be used to compute MS run calibrations, examine MS runs for artifacts that might hinder downstream analysis, and generate tables of detected low-mass ions for further analysis. SpectiCal is freely available at https://github.com/PlantProteomes/SpectiCal.
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http://dx.doi.org/10.1021/acs.jproteome.3c00882 | DOI Listing |
J Colloid Interface Sci
January 2025
GuangDong Engineering Technology Research Center of Advanced Polymer Synthesis, Key Laboratory for Preparation and Application of Ordered Structural Materials of Guangdong Province, College of Chemistry and Chemical Engineering, Shantou University, Guangdong 515063 China. Electronic address:
Fenton technology faces significant challenges due to external HO dependency and inadequate Fe regeneration. Constructing a photocatalytic self-Fenton system is a promising strategy, but it is hindered by slow charge dynamics and low mass transfer of reactant ions. Here, we present a multi-engineering co-modified carbon nitride (OCN) for efficient photocatalytic self-Fenton reactions.
View Article and Find Full Text PDFJ Am Soc Mass Spectrom
December 2024
School of Electronic and Information Engineering, Soochow University, Suzhou 215006, China.
Tandem mass spectrometry (MS) is one of the most effective methods to obtain the structures of organic molecules, enabling the observation of multigenerational ion fragments. Collision-induced dissociation (CID) is currently the most mature technique for mass spectrometry analysis. Ion trap mass spectrometry (ITMS) is favored for on-site detection field, due to its ability of MS analysis with a single trap and its small size.
View Article and Find Full Text PDFTalanta
April 2025
State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, 430074, China. Electronic address:
Accurate in situ carbon isotopic measurements of magnesium-rich carbonates using LA-MC-ICP-MS require effective correction for isobaric interference, particularly from doubly charged Mg ions that can induce δC deviations of several permil. This study focuses on optimizing gas parameters and developing robust correction strategies to improve the accuracy of δC measurements. Experimental results demonstrate that the introduction of nitrogen gas at a flow rate of 4-6 mL/min effectively doubles signal sensitivity while optimizing low helium (0.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
Center for Research and Innovation, Adichunchanagiri School of Natural Sciences, Adichunchanagiri University, B G Nagara 571448, India.
The current effort focuses on creating an effective adsorbent for Cr (VI) adsorption due to the growing need to address Cr (VI) pollution in aqueous solutions. Chitosan, a biopolymer and polysaccharide with several functional sites, is immobilized on alginate using the ion exchange technique. Both prior to and following Cr (VI) adsorption, the material's shape, crystallinity, and functional groups are reported.
View Article and Find Full Text PDFMolecules
October 2024
Department of Physics, University of Puerto Rico-Rio Piedras Campus, San Juan, PR 00925, USA.
Silicon (Si) has attracted worldwide attention for its ultrahigh theoretical storage capacity (4200 mA h g), low mass density (2.33 g cm), low operating potential (0.4 V vs.
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