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Masshunter qualitative analysis b 06

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MassHunter Qualitative Analysis B.06.00 is a software application designed for the analysis of mass spectrometry data. It provides tools for data processing, visualization, and reporting.

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22 protocols using masshunter qualitative analysis b 06

1

GC-MS Analysis of SP-EOs and SP-NEs

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Chemical composition of SP-EOs and SP-NEs was analyzed on an Agilent 7890A-5975C GC-MS. The column used for the separation was an HP-5 MS capillary column (Thermo Fisher Scientific, Massachusetts, USA). The column was allowed to reach initially a temperature of 45°C for 2 min, then 10°C/min to 100°C for 5 min, and finally to 5°C/min to 200°C for 5 min. The ion source temperature was 230°C, and the inlet temperature was 250°C. Before injection, samples were diluted 1 : 100 in ethyl acetate, and then 1 1 μl was injected in split mode (1 : 20). The peak acquisition was achieved with electron impact (EI, 70 eV) mode in the range 30–500 m/z. Chromatograms obtained were analyzed using Agilent Mass Hunter Qualitative Analysis B.06.00 software and the NIST11 Mass Spectral Search Program, as well as PubChem database.
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2

Metabolomic Data Preprocessing and Identification

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The raw data sets were deconvoluted using MassHunter Qualitative Analysis B.06.00 software (Agilent Technologies, Waldbronn, Germany). The parameters of data extraction were similar to those previously published13 (link). To correct the common shift of retention time and measured monoisotopic mass during LC-MS analyses, peak alignment is necessary to mark detected analytical signals as the same features in all measured plasma samples. The alignment step was performed using Mass Profiler Professional B.02.01. (Agilent Technologies, Waldbronn, Germany). After alignment, the obtained data matrices were filtered and normalized using the intensity of the internal standard (IS), namely 1-(4-fluorobenzyl)-5-oxoproline. Only variables present in all plasma samples (n = 6, for each sample preparation procedure evaluated) and with a coefficient of variation (CV) lower than 20% were used for further identification. The filtered analytical signals were putatively identified based on monoisotopic mass, isotopic distribution, formula and hits found in available databases, such as METLIN (www.metlin.scripps.edu), KEGG (www.genome.jp/kegg), LIPIDMAPS (www.lipidmaps.org/), HMDB (www.hmdb.ca) and CEU MassMediator (http://ceumass.eps.uspceu.es/mediator).
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3

GC-MS Analysis of Sanse Powder and NEs-SP-EO

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The chemical composition of Sanse Powder and NEs-SP-EO were analyzed on an Agilent 7890A-5975C gas chromatograph-mass spectrometer (GC-MS). We separated essential oil on an HP-5 MS column with specifications: 30 m length, 0.25 mm i. d., and 0.25 μm film (Thermo Fisher Scientific, Waltham, MA, United States). We operated the spectrometer in the electron ionization mode at 70 eV and set the scan range at (m/z) 30-500. The ion source temperature was 230°C and the inlet temperature was 250°C. We injected 1 µL of the samples at a shunt ratio of 1:20. We used the following programmed operating conditions: 45°C for 2 min, 10°C/min to 100°C for 5 min, 5°C/min to 200°C for 5 min, total running time 52 min. Helium carrier gas at 1 ml/min. We identified the resultant peaks using Agilent Mass Hunter Qualitative Analysis B.06.00 software (www.agilent.com) and each component detected in the total ion chromatogram was searched through the NIST11 database and PubChem database (>80% match). The chromatographic peaks were calculated by the area normalization method to obtain the percentage of each component.
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4

Optimized QTOF Mass Spectrometry Protocol

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MS data were recorded using an Agilent 6540 QTOF mass spectrometer (Agilent Technologies) equipped with a QTOF mass spectrometer and a jet stream electrospray ion source. Data acquisition were controlled by Mass Hunter Qualitative Analysis B.06 and Quantitative Analysis B.04 (Agilent Technologies). The optimized operating parameters in the negative ion modes were as follows: nebulizing gas (N2) flow rate, 8.0 L/min; nebulizing gas temperature, 300°C; jet stream gas flow, 8 L/min; sheath gas temperature, 350°C; nebulizer pressure, 45 psi; capillary voltage, 3000 V; skimmer, 65 V; Octopole RFV, 600 V; and collision energy, 15 eV. Mass spectra were recorded across the range m/z 100–1300 with accurate mass measurement of all mass peaks. Deprotonated molecular ions of the 10 analytes were selected as their respective extraction ions in quantitative analysis using the extracting ion mode.
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5

Peptide Quantification by MRM Analysis

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MRM peak area integration was performed using Agilent MassHunter Qualitative Analysis B.06. Excel was used to calculate peak area ratios. Peak integration was manually inspected and adjusted if necessary. The peak ratios from transitions were averaged to yield the peptide ratios. All experiments were performed in duplicate with three replicate injections to assess error and reproducibility. Data is represented as the mean ± SD.
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6

Quantitative N-Glycan Profiling by Chip-QQQ-MS

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The released N-glycans were quantitatively profiled on Chip-QQQ-MS using MRM method in positive mode. The dry-gas (N2) temperature and flow rate were 225 °C and 11 l min−1, respectively. The RF voltage amplitude of the high-pressure and low-pressure ion funnels were 150 and 200 V, respectively. The dwell time was set as 10–50 ms. All of the raw data were processed using Agilent MassHunter Qualitative Analysis B.06.00 and Agilent MassHunter Quantitative Analysis B.06.00 software. The optimized method was validated for linearity, sensitivity, recovery and repeatability. The abundance of each N-glycan composition was relatively quantified based on the peak areas of their MRM chromatograms and expressed as a percentage of summed peak areas for total N-glycans within each IgG samples.
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7

UHPLC-QTOF-MS Metabolomics Pipeline

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Sample analysis, data pre-processing, matching of features across datasets, and compound identification are desribed in detail in the Supplementary Methods. Briefly, all samples were analyzed by the same laboratory at IARC with a UHPLC-QTOF-MS system (1290 Binary LC system, 6550 QTOF mass spectrometer; Agilent Technologies, Santa Clara, CA) using reversed phase chromatography and electrospray ionization. Raw data were processed using Agilent MassHunter Qualitative analysis B.06.00, ProFinder B.08.00, and Mass Profiler Professional B.12.1 software with Agilent's recursive feature finding procedure. The m/z values of the features of interest were searched against the Human Metabolome Database (HMDB) [24] and METLIN [25] .Compound identity was confirmed by comparison of chemical standards and representative samples.
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8

Proteomics Analysis of Human Milk

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Raw MS spectra from Orbitrap were converted to the MGF format by ProteoWizard 3.0[40 (link)]; data files from Q-TOF were exported as MGF files with Agilent MassHunter Qualitative Analysis B.06.00. Sequences of peptides were identified using X!Tandem[41 (link)]. The SwissProt Homo sapiens (Human) proteome was used as the database for the human milk proteolysis dataset, and the in-house constructed human milk proteome was employed for the α-lactalbumin and cathepsin D dataset to account for potential milk proteins that occur in the simpler system. A non-specific enzyme cleavage pattern ([X]|[X]) was set, and 50 missed cleavage sites were allowed. No complete modifications were defined. Oxidation of methionine, deamidation of asparagine and glutamine, as well as phosphorylation of serine and threonine were selected as potential modifications as they are commonly observed on endogenous human milk peptides. Mass error tolerance was ±20 ppm for precursor ions and 20 ppm for fragment ions. Individual spectra were accepted when the e-value of peptide match was below 0.01.
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9

Plasma Metabolic Fingerprinting Analysis

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The acquired chromatograms representing plasma metabolic fingerprints were extracted with the use of MFE algorithm provided by MassHunter Qualitative Analysis B.06.00 software (Agilent Technologies, Waldbronn, Germany). The parameters applied for data extraction were similar to the previously described (Ciborowski et al., 2014 (link)). The background noise threshold was set to 200 counts and the following adducts were included: +H, +Na, +K. Neutral water loss was also taken into account. After data extraction, each potential compound present in all plasma samples was described by the monoisotopic mass, retention time, and abundance.
Alignment of the chromatography data was performed with Mass Profiler Professional B.02.01 software (Agilent Technologies, Waldbronn, Germany) using 1% and 5 ppm for retention time and mass correction, respectively.
The aligned dataset was filtered based on the quality assurance (QA) criteria (Dunn et al., 2011 (link)) which included the presence of variables in at least 50% of QCs and the coefficient of variation (CV) value (< 20%) in QCs. A second filtering required the presence of the variable in 80% of the samples in at least one of the compared groups (i.e., in 80% of the samples in the responsive or non-responsive group, as well as in the PH patients or healthy individuals). These datasets were subsequently used for statistical analyses.
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10

High-Resolution Mass Spectrometry Protocol

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MS data were
collected using an Agilent 6540 QTOF mass spectrometer (Agilent Technologies)
equipped with a JetStream electrospray ion (ESI) source. Data acquisition
software was MassHunter Qualitative Analysis B.06.00 (Agilent Technologies).
The optimized operating parameters in negative ion mode were as follows:
nebulizing gas (N2) flow rate at 7 L/min, nebulizing gas
temperature at 300 °C, JetStream gas flow at 7 L/min, sheath
gas temperature at 350 °C, nebulizer pressure at 40 psi, capillary
voltage at 3000 V, skimmer at 65 V, Octopole RFV at 600 V, and fragmentor
voltage at 130 V. An MS/MS technique was applied to provide parallel
alternating scans for acquisition at low collision energy to obtain
precursor ion information or at a ramping of high collision energy
to acquire a full-scan accurate mass data of fragments and precursor
ions and to obtain neutral loss information. The collision energies
for auto MS/MS analysis were 20 and 35 V.
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