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Masterview

Manufactured by AB Sciex
Sourced in United States

The MasterView is a multi-purpose laboratory instrument designed for high-performance liquid chromatography (HPLC) and ultra-high-performance liquid chromatography (UHPLC) applications. It provides accurate and reliable data acquisition, processing, and analysis capabilities for a wide range of analytical workflows.

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9 protocols using masterview

1

High-Resolution Mass Spectrometry Analysis

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The samples were analyzed by a LC-20ADXR UFLC-4600 Q/TOF system (Shimadzu, Japan & AB SCIEX, USA), equipped with a Shim-pack XR-ODS column (100 mm×2.0 mm, 2.2 μm; Shimadzu, Japan). Detection parameters were set according to our previous report with minor modifications [32 (link)]. The injection volume was 1 µL, and that flow rate was 0.25 mL/min. The mobile phase included water (A) and methanol (B) containing formic acid (0.1%). Gradient elution program was set as follow: 10% B at 0-0.5 min, 10–30% B at 0.5-2 min, 30–48% B at 2–15 min, 48–100% B at 15–20 min, 100% B at 20–23 min. Mass scan range were 100–1000 m/z. Data were collected by Analyst (ver. 1.7, AB SCIEX, USA), and processed with PeakView (ver. 2.2, AB SCIEX, Canada) and MasterView (ver. 1.1, AB SCIEX, Canada). Compounds were identified by Natural Products HR-MSMS Spectral Library (ver. 1.0.1, AB SCIEX, USA). Mass tolerance of the accurate molecular weight was set as ± 5 ppm. Furthermore, MS/MS fragment patterns were analyzed to verify the results.
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2

Rg5 Metabolite Identification Protocol

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The data analyses were performed using PeakView (v2.2) and MasterView (v1.2) programs (AB Sciex). Through comparing the mass spectrogram and retention time of an array of extracted ion chromatograms of experimental samples with the control ones, the common chromatographic peaks were eliminated and potential metabolites were detected. Based on the transformation of fragmentation patterns, mass shift and retention time, structures of the potential metabolites of Rg5 were determined.
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3

Comprehensive LC-MS Analysis of TCM Compounds

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The LC-MS data were handled using the Analyst TF 1.7 software (AB Sciex, Framingham, MA, USA) and embedded with PeakView Extra Utilities (2.2.0.11391, AB Sciex, Framingham, USA), and MasterView (1.1.1944.0, AB Sciex, Framingham, USA). In the compound identification analysis, MS and MS/MS data were both used in the “candidate search” algorithm, used to search against the TCM Library 1.0 C/D/V and TCM MS/MS library [34 ,35 ]. The following parameters were set to ensure the accuracy of each identified compound: mass error < 5 ppm, isotope ratio difference < 10%, and library score > 30.
The UPLC fingerprint analysis was performed using the “Similarity Evaluation System of Traditional Chinese Medicine Chromatographic Fingerprint” software (2012.130723 edition, Chinese Pharmacopoeia Commission, Beijing, China), peaks were manually marked, automatic corrected, and aligned, followed by reference/sample fingerprint generation. The heatmap and clustering analysis were performed using the HemI 1.0 software (Huazhong University of Science and Technology, Wuhan, Hubei Province, China). The PCA analysis was performed by using SIMCA-P 11.0 software (Umetrics, Umeå, Västerbotten, Sweden). For quantitative analysis, the peak areas were integrated using the LC solutions software (SHIMADZU, Tokyo, Japan), and linearity was calculated using the EXCEL software.
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4

Comprehensive Mass Spectrometry Analysis

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The HPLC fractions
were diluted using MS-grade methanol and directly injected to the
ESI source through a syringe pump at 0.4 mL/min flow rate. ESI-MS
analyses were carried out in the negative ion mode within the m/z range 100–2000 m/z with an IRDx
resolution of 15,000, using a Hybrid Quadrupole-TOF LC/MS/MS mass
spectrometer (SCIEX Triple TOF 5600, Singapore). The typical ESI conditions
were as follows: gases were GS1–45, GS2–60, and Curtain
GAS (CUR)-40, source voltage was 4.0 kV, duospray ion source set at
400 °C, and the collision energy was 10 V. CID-MS/MS experiments
were performed on mass-selected precursor ions using standard isolation
and excitation configuration. All data acquisition and analysis were
performed using the Peak View 2.1 Software (AB SCIEX Triple TOF 5600,
Singapore), equipped with MasterView (Version 1.0, AB SCIEX). The
XIC manager tool in Master View was used to detect quasimolecular
weights, mass errors, and isotope patterns of both targeted and nontargeted
compounds. ChemSpider, mzCloud and Chemdraw software, elemental composition
analysis, as well as literature review were used to define consistent
tentative structures for the identified compounds.
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5

Marker Ion and pMRM Evaluation

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The marker ions and the pMRM transitions were evaluated using the MasterView software tool (1.1, ABSciex Darmstadt, Germany) for the assignment of whether or not there is MSM in the (blinded) samples examined. For a positive assignment of a marker ion, a small difference in retention time (Δ t < ± 0.1 min) and a high mass accuracy (Δ m/z < ± 0.002 Da) are mandatory. Furthermore, only pMRM transitions with intensity (counts) ≥ 50 and a signal to noise ratio (SNR) of at least 3:1 were used, and at least three out of four MRM transitions must be detected, respectively.
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6

LC-HRMS Method for Drugs Identification

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LC-HRMS conditions and data analysis were as described previously [18] (link). Briefly, liquid chromatographic separation was performed on a Phenomenex Kinetex C18- column (50 × 3.00 mm ID, 2.6 μm) with a Shimadzu Prominence LC-20ADXR system. A gradient program started with 100 % mobile phase A (0.05 % formic acid and 5 mmol/l ammonium formate in H2O) and gradually switched to 100 % mobile phase B (0.05 % formic acid in methanol: acetonitrile (1:1)) over 10 min. HRMS data were acquired either with a SCIEX TripleTOF®5600 operating in electrospray ionization (ESI) positive-ion mode using a time-of-flight MS (TOF-MS) survey scan with dedicated product ion scan to collect a library spectrum for the library generation, or using information dependent acquisition-triggered collection of product ion spectra for method development, validation and routine testing. The LC-HRMS method identifies drugs based on accurate mass, isotope pattern, retention time, and matching acquired mass spectra to library spectra, which were acquired from each drug standard. Data analysis was performed using PeakView®, MasterView™ and SciexOS™ software (Sciex).
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7

Xenobiotic Identification Using Sciex Software

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Xenobiotic identification was performed with Sciex MasterView version 2.2 software using a commercial forensic MS/MS spectral library from Sciex (version 1.1; 1,700 entries). For unsupervised and supervised data analysis, Sciex MarkerView (research) version 1.2.4.0 software was used which included the Principal Components Variable Grouping (PCVG) add-on module. Specific settings for the data processing procedures including a full overview of criteria used for compound identification purposes are provided in the Supplementary Tables S2 andS3.
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8

Metabolomic Analysis of CRAMP-34 Treated Biofilms

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Biofilm samples were prepared as described above. Preformed biofilms were treated by CRAMP-34 at 62.5 μg/mL for 1 hour, then the upper culture medium in cell culture flasks was collected and centrifuged at 3000 rpm for 10min at 4°C, and 800 μL of supernatant was collected and frozen in liquid nitrogen for storage. There were 6 samples in both the CRAMP-34 group and the control group. The samples were sent to Beijing Oweisen Gene Technology for metabolomics detection and data analysis. The workflow was as previously reported (Zhang et al., 2022 (link)): the samples were analyzed by liquid chromatography mass spectrometry (LC-MS). The LC-MS data were extracted and preprocessed using MasterView (SCIEX). The resulted three-dimensional data involving the peak number, sample name, and normalized peak area were fed to R package metaX. For principal component analysis (PCA) and orthogonal partial least square-discriminate analysis (OPLS-DA). PCA showed the distribution of origin data. There were six replicates in each group and five replicates of non-experimental standard samples were also tested. The differentially expressed metabolites were identified based on both the variable importance in the projection (VIP) value (> 1) and the p-value (< 0.05).
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9

Lipid Profiling Using Integrated MS-DIAL and LipidBlast

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Freely available MSDIAL, version 4.00 (http://prime.psc.riken.jp/Metabolomics_Software/MS-DIAL/index2.html, accessed on 5 November 2021), and commercially available software packages, Peak View, Master View, and Multiquanta (SCIEX, Washington, DC, USA), were used for lipid profiling. For lipid identification, the MS/MS spectrum of each feature was matched by MS-DIAL software with an integrated LipidBlast database [18 (link)]. Qualitative analysis of shotgun-MS data was performed using Lipid View software (v2.0, ABSciex, Concord, Ontario, Canada). Software parameter settings: Mass Tolerance = 0.5, Min % Intensity = 1, Minimum S/N = 10, Flow Injection Average Spectrum from Top = 30% TIC, Total Double Bonds ≤12.
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