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Gcmate

Manufactured by JEOL
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The GCmate is a gas chromatograph-mass spectrometer (GC-MS) system designed and manufactured by JEOL. It is a laboratory instrument used for the analysis and identification of chemical compounds. The GCmate combines gas chromatography (GC) for separation of complex mixtures and mass spectrometry (MS) for the detection and characterization of the separated compounds.

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GCMATE II GC-MS GCmate mass spectrometer GCMate II JMS-GCMATE mass spectrometer

3 protocols using gcmate

1

NMR Spectroscopic Analysis Protocol

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A 400 MHz Bruker Avance III spectrometer was used to acquire 1H NMR and 13C NMR spectra. Chemical shifts (δ) are listed in ppm against residual non-deuterated solvent peaks in a given deuterated solvent (e.g., CHCl3 in CDCl3) as an internal reference. Coupling constants (J) are reported in Hz, and the abbreviations for splitting include: s, single; d, doublet; t, triplet; q, quartet; p, pentet; m, multiplet; br, broad. All 13C NMR spectra were acquired on a Bruker instrument at 100.6 MHz. Chemical shifts (δ) are listed in ppm against deuterated solvent carbon peaks as an internal reference. High resolution mass spectra were recorded using either a JEOL GCmate (2004), a JEOL LCmate (2002) high resolution mass spectrometer or an ABI Mariner (1999) ESI-TOF mass spectrometer. NMR spectra are available in the Supplementary Materials.
Jurutka P.W., di Martino O., Reshi S., Mallick S., Sabir Z.L., Staniszewski L.J., Warda A., Maiorella E.L., Minasian A., Davidson J., Ibrahim S.J., Raban S., Haddad D., Khamisi M., Suban S.L., Dawson B.J., Candia R., Ziller J.W., Lee M.Y., Liu C., Liu W., Marshall P.A., Welch J.S, & Wagner C.E. (2021). Modeling, Synthesis, and Biological Evaluation of Potential Retinoid-X-Receptor (RXR) Selective Agonists: Analogs of 4-[1-(3,5,5,8,8-Pentamethyl-5,6,7,8-tetrahyro-2-naphthyl)ethynyl]benzoic Acid (Bexarotene) and 6-(Ethyl(4-isobutoxy-3-isopropylphenyl)amino)nicotinic Acid (NEt-4IB). International Journal of Molecular Sciences, 22(22), 12371.
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2

GC-MS Analysis of P. pinnata Compounds

Cited 1 time
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In this experiment aqueous extracts were evaluated for the active
compounds, which are possibly associated for the observed
bioactivities. P. pinnata seed extracts were subjected for
compounds identification by injecting 1μl of extracts into GC-MS
(JEOL GC mate) instrument. After running for 40 minutes, major
compounds were identified by comparing with standard
references [6 (link)].
Mathaiyan M., Suresh A, & Balamurugan R. (2018). Binding property of HIV p24 and Reverse transcriptase by chalcones from Pongamia pinnata seeds. Bioinformation, 14(6), 279-284.
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3

Characterization of Organic Compounds

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All 1H NMR spectra were acquired at 400 MHz or 500 MHz on Bruker or Varian spectrometers. Chemical shifts (δ) are listed in ppm against the non-deuterated solvent peaks as an internal reference. Coupling constants (J) are reported in Hz, and the abbreviations for splitting include: s, single; d, doublet; t, triplet; q, quartet; p, pentet; m, multiplet; br, broad. All 13C NMR spectra were acquired on Bruker instruments at 125.8 MHz or 100.6 MHz. Chemical shifts (δ) are listed in ppm against solvent carbon peaks as an internal reference. High resolution mass spectra were recorded using either a JEOL GCmate(2004), a JEOL LCmate(2002) high resolution mass spectrometer or an ABI Mariner (1999) ESI-TOF mass spectrometer. Melting points were assayed on a Thomas Hoover capillary melting point apparatus. All tested compounds were analyzed for purity by combustion analysis through Columbia Analytical Services (formerly Desert Analytics in Tucson, AZ), except for analog 4 which was purchased from TOCRIS Biosciences and labelled to be ≥ 97% by HPLC according to the company’s specifications. The spectroscopic and characterization data for each compound is provided as well as their 1H-NMR and 13C-NMR spectra. Individual compound spectra and further details relating to compound analysis may be found in the Appendix.
Hanish B.J., Hackney Price J.F., Kaneko I., Ma N., van der Vaart A., Wagner C.E., Jurutka P.W, & Marshall P.A. (2018). A novel gene expression analytics-based approach to structure aided design of rexinoids for development as next-generation cancer therapeutics. Steroids, 135, 36-49.
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