Masshunter acquisition software

Manufactured by Agilent Technologies

Sourced in United States

MassHunter Acquisition software is a data acquisition solution for mass spectrometry systems. It provides control and data acquisition functionality for Agilent's mass spectrometry instruments.

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Lab products found in correlation

29 protocols using masshunter acquisition software

GC-MS Analysis of Metabolites

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The GC-MS signals were collected by MassHunter Acquisition software (Agilent Technologies, Santa Clara, CA, USA). Automatic Mass Spectral Deconvolution and Identification System (AMDIS-32) software and NIST 2.2 mass spectra library were used to identify compounds. Kovat’s retention index was used to support identification. Data arrangement and sorting were processed by Microsoft Excel 2016. The averages of the peak areas were statistically analyzed by Metaboanalyst 4.0 (http://www.metaboanalyst.ca/faces/upload/StatUploadView.xhtml) by using T-test. Data were uploaded to Metaboanalyst 4.0 as columns (unpaired); data filtering was conducted using the mean intensity value. Sample normalization, data scaling, and data transformation were specified as a “NONE” mode. T-test was analyzed at 95% confidence regions.

Alnajim I., Agarwal M., Liu T., Li B., Du X, & Ren Y. (2020). Preliminary Study on the Differences in Hydrocarbons Between Phosphine-Susceptible and -Resistant Strains of Rhyzopertha dominica (Fabricius) and Tribolium castaneum (Herbst) Using Direct Immersion Solid-Phase Microextraction Coupled with GC-MS. Molecules, 25(7), 1565.

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Ion Mobility Spectrometry QTOF MS Analysis

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Samples were directly injected into the Ion Mobility Spectrometry QTOF MS (Agilent; model G6560A, serial no. SG1711C002) at 50 μL/min. Each sample was analyzed in triplicate through independent injections of the same sample, because of the instrument's high-throughput capacity for running and analyzing samples. Initial ionization was carried out with an APPI source (Agilent; model G1917C). Instrumental and source parameters were as follows: APPI positive ion mode, sample analysis time 1.5 min; source parameters: gas temperature 325 °C, vaporizer 350 °C, drying gas 10 L/min, nebulizer 30 psi, VCap 3000, fragment 400 V, 110 RF Vpp 750. The following acquisition parameters were defined in each instrumental run: mass range 50 to 1700 m/z, frame rate 1 frames/s, IM transient rate 18 transients/frame, maximum drift time 60 ms, time-of-flight (TOF) transient rate 600 transients/IM transient, trap fill time 20 000 μs and trap release time 300 μs. Quadruple TOF parameters were as follows: firmware Ver 18.723, Rough Vac 2.71 torr, Quad Vac 3.68 × 10⁻⁵torr, TOF Vac 3.47 × 10⁻⁷ torr, drift tube pressure 3.940 torr, trap funnel pressure 3.790 torr, chamber voltage 5.96 μA, and capillary voltage 0.076 μA. Data were obtained using the Mass-Hunter Acquisition software (Agilent; Ver 08.00).

Roman-Hubers A.T., McDonald T.J., Baker E.S., Chiu W.A, & Rusyn I. (2021). A Comparative Analysis of Analytical Techniques for Rapid Oil Spill Identification. Environmental toxicology and chemistry, 40(4), 1034-1049.

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Quantitative LC-MS/MS Metabolite Analysis

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The LC-MS/MS system consisted of an Agilent 1260 Infinity HPLC system (Agilent Technologies, Wilmington, DE, USA) and Agilent 6470 Triple Quadrupole MS system (Agilent Technologies, Wilmington, DE, USA). The system was operated using Mass Hunter Acquisition Software (Version B.08.00; Agilent Technologies, Wilmington, DE, USA). The pressure of drying gas was set at 35 psi and the gas temperature was kept at 300 °C. The ion spray voltage was set at 4000 V in the positive mode.

Jin S., Jeon J.H., Lee S., Kang W.Y., Seong S.J., Yoon Y.R., Choi M.K, & Song I.S. (2019). Detection of 13 Ginsenosides (Rb1, Rb2, Rc, Rd, Re, Rf, Rg1, Rg3, Rh2, F1, Compound K, 20(S)-Protopanaxadiol, and 20(S)-Protopanaxatriol) in Human Plasma and Application of the Analytical Method to Human Pharmacokinetic Studies Following Two Week-Repeated Administration of Red Ginseng Extract. Molecules, 24(14), 2618.

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Volatile Characterization of Green Teas

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The data acquisition was performed by MassHunter Acquisition software (version B. 06.00 Agilent Technologies Santa Clara, CA, USA), and data was expressed as the mean ± standard deviation of three replicates. Analyses of variances (ANOVA) and Fisher-HSD at p < 0.05 were chosen to investigate statistical differences among means. Furthermore, multivariate statistical techniques, including partial least squares discriminant analysis (PLS-DA) and hierarchical cluster analysis performed by MetaboAnalyst 5.0 (https://www.metaboanalyst.ca/, accessed on 30 October 2021), were used to characterize the green teas based on different brewing times. The relative abundance of the volatile components was obtained by peak area normalization (Log10).

Sun L., Dong X., Ren Y., Agarwal M., Ren A, & Ding Z. (2022). Profiling Real-Time Aroma from Green Tea Infusion during Brewing. Foods, 11(5), 684.

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Metabolic Profiling via LC-MS Analysis

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LC-MS data was acquired using Agilent MassHunter Acquisition software, and the data was batch processed using ProFinder 10.0 and Mass Profiler Professional software to extract characteristic information for characteristic ion peaks. Peak areas were log-transformed and finally normalized using the total peak area normalization method. A table containing ion identities, retention times, and normalized peak areas was imported into SIMCA-P for data analysis. The principle component analysis (PCA) and orthogonal projection to latent structures-discriminant analysis (OPLS-DA) model has been overfit validated and is only used if it is not overfit. Differential metabolites were screened according to the criteria of Variable Importance in Projection (VIP) > 1 and p < 0.05. MetaboAnalyst 5.0 was used for metabolic pathway analysis.

Zhong W., Li Y., Zhong H., Cheng Y., Chen Q., Zhao X., Liu Z., Li R, & Zhang R. (2023). Exploring the mechanism of anti-chronic heart failure effect of qiweiqiangxin І granules based on metabolomics. Frontiers in Pharmacology, 14, 1111007.

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Glycan Characterization by LC-MS

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Example 2

Due to the distinct number of glycans, ATα and ATβ were differentiated based on their mass by Agilent 6520 LC-MS system which is equipped with duo-ESI (or nano ChipCube) source, MassHunter acquisition software and qualitative analysis software including Bioconfirm. Glycosylation sites were determined by a bottom-up method in which proteins are digested by trypsin and Arg-c followed by target MSMS to identify the glycosylated and mono-glycosylated peptide sequences. Data was collected in two experiments: Fragmentor voltage 175v and 430v.

US09908942B2. Monoclonal antibodies against antithrombin β (2018-03-06). BAYER HEALTHCARE LLC [US]. Inventors: Ye Jin [US], John E. Murphy [US], Terry Hermiston [US], Timothy Myles [US], Frank Dittmer [DE], Michael Strerath [DE], Uwe Gritzan [DE].

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Glycan Characterization by LC-MS

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Example 2

US10144784B2. Monoclonal antibodies against antithrombin beta (2018-12-04). Bayer Healthcare LLC [US]. Inventors: Ye Jin [US], John E. Murphy [US], Terry Hermiston [US], Timothy Myles [US], Frank Dittmer [DE], Michael Strerath [DE], Uwe Gritzan [DE].

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Quantitative Analysis of Aconitum Alkaloids

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Data acquisition was controlled by Agilent MassHunter Acquisition Software (B.08.00), and MS/MS transitions were performed using Agilent MassHunter Acquisition optimizer software. Data were processed with Quantitative Analysis Software (B.08.00) and Qualitative Analysis Software (B.07.00), respectively. The classification of A. capillaris samples were performed by HCA in the form of the clustering heatmap, which was conducted using with HemI (Heatmap Illustrator, version 1.0, China), a novel software package, to exhibit the differences of PAs with various sample sources [50 (link),51 (link)]. The squared Euclidean distance was used as the metric in the clustering approaches. PCA, a multivariate statistical method to select the principal components representing most of the original variable information [52 (link)], was carried out using OriginPro 2018 SR1 (OriginLab Inc., Northampton, MA, USA).

Chen L.H., Wang J.C., Guo Q.L., Qiao Y., Wang H.J., Liao Y.H., Sun D.A, & Si J.Y. (2019). Simultaneous Determination and Risk Assessment of Pyrrolizidine Alkaloids in Artemisia capillaris Thunb. by UPLC-MS/MS Together with Chemometrics. Molecules, 24(6), 1077.

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Metabolomic Profiling by Tandem Mass Spectrometry

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MS/MS spectra for polar metabolites were acquired on an Orbitrap ID-X Tribrid mass spectrometer (Thermo Scientific). A Vanquish Horizon UHPLC system, with the same chromatographic conditions as described in the Methods, was interfaced with the mass spectrometer via electrospray ionization in both positive and negative mode with a spray voltage of 3.5 and 2.8 kV, respectively. The RF lens value was 35%. Data were acquired in data dependent acquisition (DDA) mode using the built-in deep scan option (AcquireX) with a mass range of 67–900 m/z. MS/MS scans were acquired at 15K resolution on a NIST SRM 1950 plasma sample from and 4 individual samples from d0, d3, d7, and d14 in both positive and negative polarity with different collision energies in the range of 20 NCE to 50 NCE for HCD and 30 NCE for CID to maximize identifications.
MS/MS spectra for polar metabolites and lipids were acquired using an iterative approach in the MassHunter Acquisition Software (Version 10.1.48, Agilent Technologies) on an Agilent 6540 and 6545 QTOF respectively. The same source settings as for MS1 data acquisition were used. MS/MS spectra were acquired at a scan rate of 3 spectra/s with different intensity thresholds and collision energies of 10, 20, and 40 V to increase identification rates.

Sindelar M., Stancliffe E., Schwaiger-Haber M., Anbukumar D.S., Albrecht R.A., Liu W.C., Travis K.A., García-Sastre A., Shriver L.P, & Patti G.J. (2021). Longitudinal Metabolomics of Human Plasma Reveals Robust Prognostic Markers of COVID-19 Disease Severity. medRxiv.

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GC-MS Analysis of Chemical Compounds

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The GC–MS signals were collected by the MassHunter Acquisition software (Agilent Technologies, Santa Clara, CA, USA). The Automatic Mass Spectral Deconvolution and Identification System (AMDIS-32) software and the National Institute of Standards and Technology (NIST) mass spectra library (version 2.2) were used to identify chemical compounds. The Kovat’s retention index was used to assist identification. Data sorting and linear regression were processed by Microsoft Excel 2016. The averages of the compound areas were statistically analyzed by Metaboanalyst 4.0 (http://www.metaboanalyst.ca/faces/upload/StatUploadView.xhtml), using hierarchical cluster analyses (heatmap) [20 (link)]. Samples were uploaded to Metaboanalyst 4.0 as columns (unpaired); data filtering was characterized using the mean intensity value. Sample normalization, data transformation and data scaling were specified as a “NONE” mode. Heatmap parameters were as follows: distance measure = Euclidean; clustering algorithm = ward; and standardization = auto scale feature. The heatmap statistical model was the t-test/ANOVA. The LOD was calculated by the linear regression method [21 (link)] using Equation (1):
where S is the standard deviation of the linear response of the GC–MS and b is the slope of the calibration curve.

Alnajim I., Du X., Lee B., Agarwal M., Liu T, & Ren Y. (2019). New Method of Analysis of Lipids in Tribolium castaneum (Herbst) and Rhyzopertha dominica (Fabricius) Insects by Direct Immersion Solid-Phase Microextraction (DI-SPME) Coupled with GC–MS. Insects, 10(10), 363.

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