Mps2 autosampler

Manufactured by Gerstel

Sourced in Germany, United States, United Kingdom

The Gerstel MPS2 autosampler is a versatile laboratory instrument designed for automated sample handling and preparation. Its core function is to efficiently and reliably transfer samples from vials or other sample containers into an analytical instrument, such as a gas chromatograph or liquid chromatograph, for analysis.

Automatically generated - may contain errors

Lab products found in correlation

42 protocols using mps2 autosampler

Headspace Solid Phase Microextraction of Aroma Volatiles

Check if the same lab product or an alternative is used in the 5 most similar protocols

For headspace solid phase microextraction (HS-SPME), the extraction of aroma volatiles was performed using a Gerstel MPS-2 autosampler (Gerstel). Prior to use, the SPME fibre was conditioned according to the manufacturer’s recommendations. Then, the fibre was conditioned for 10 min per day at 250 °C. For the HS-SPME assay, after the deep optimization (Supplementary Fig. S6), including selection of the fibre coating, extraction time, extraction temperature and the sample volume/headspace volume ratio, 6 mL of sample (pulp juice or skin extract solution) was transferred to a 20 mL glass vial. After the additional of sodium chloride (1.5 g) and 2-octanol internal standard solution (5 μL, 155 mg/L), corresponding to a ratio of the volume of the liquid phase to the headspace volume (1/β) of 0.553 (link), the vial was capped with a PTFE septum and an aluminium cap (Chromacol, Hertfordshire, UK). The Gerstel MPS2 autosampler was operated in the SPME mode with a DVB/CAR/PDMS (50/30 μm) fibre. Volatile compounds were equilibrated by agitating the sample (250 rpm) for 10 min at 50 °C and then extracted for 30 min at the same temperature and agitation. After the extraction, the fibre was immediately inserted into the gas chromatography (GC) injection port to desorb volatiles at 260 °C for 3 min in splitless mode. All measurements were performed in triplicate.

Wu Y., Duan S., Zhao L., Gao Z., Luo M., Song S., Xu W., Zhang C., Ma C, & Wang S. (2016). Aroma characterization based on aromatic series analysis in table grapes. Scientific Reports, 6, 31116.

+ Open protocol

+ Expand

GC-MS Analysis of Metabolite Profiles

Check if the same lab product or an alternative is used in the 5 most similar protocols

All GC–MS analysis was performed with a Waters GCT Premier mass spectrometer fitted with an Agilent 6890 gas chromatograph and a Gerstel MPS2 autosampler. Dried samples were suspended in 40 μL of a 40 mg/mL O-methoxylamine hydrochloride (MOX) in pyridine and incubated for 1 hour at 30°C. To autosampler vials was added 25 μL of this solution. Forty microliters 40 μL of N-methyl-N-trimethylsilyltrifluoracetamide (MSTFA) was added automatically via the autosampler and incubated for 60 minutes at 37°C with shaking. After incubation 3 μL of a fatty acid methyl ester standard (FAMES) solution was added via the autosampler then 1 uL of the prepared sample was injected to the gas chromatograph inlet in the split mode with the inlet temperature held at 250°C. A 10:1 split ratio was used for analysis. The gas chromatograph had an initial temperature of 95°C for 1 minute followed by a 40°C/min ramp to 110°C and a hold time of 2 minutes. This was followed by a second 5°C/min ramp to 250°C, a third ramp to 350°C, then a final hold time of 3 minutes. A 30-m Phenomex ZB5–5 MSi column with a 5-m long guard column was employed for chromatographic separation. Helium was used as the carrier gas at 1 mL/min. Due to the high amounts of several metabolites the samples were analyzed once more at a tenfold dilution.

Petersen C., Bell R., Klag K.A., Lee S.H., Soto R., Ghazaryan A., Buhrke K., Ekiz H.A., Ost K.S., Boudina S., O’Connell R.M., Cox J.E., Villanueva C.J., Stephens W.Z, & Round J.L. (2019). T cell-mediated regulation of the microbiota protects against obesity. Science (New York, N.Y.), 365(6451), eaat9351.

+ Open protocol

+ Expand

GC-MS Analysis of Organic Compounds

Check if the same lab product or an alternative is used in the 5 most similar protocols

GC-MS analysis was performed with an Agilent MSD quadrupole system (GC 7890A and MSD 5975C, Agilent Technologies, Waldbronn, Germany) equipped with a GERSTEL MPS 2 auto sampler and a GERSTEL CIS 4 injection system (GERSTEL, Duisburg, Germany). A DB-FFAP (30 m × 0.25 mm, film thickness 0.25 μm, Agilent J&W Scientific, Santa Clara, CA, USA) was used as analytical capillary. An uncoated, deactivated fused silica capillary (2–3 m × 0.53 mm) was used as pre-column. This capillary was changed regularly to avoid accumulation of impurities. A further uncoated fused silica capillary (0.3–0.6 m × 0.25 mm) was used as a transfer line into the MS. Carrier gas was Helium at a flow rate of 1.0 mL/min. Mass spectra were recorded at 70 eV in Selected Ion Monitoring (SIM)-mode (cf. Table 1) for quantification. To verify the identity of the compounds, their mass spectra were additionally recorded in full scan mode (mass-to-charge ratio (m/z) range 30–350). The following temperature program for the oven was used: 40°C was held for 7 min. This temperature was raised to 240°C at a rate of 8°C/min. The final temperature was held for 8 min. Injection volume was 2 μL. The sample was applied with the auto sampler using the cold-on-column technique (18 (link))

Scheffler L., Sharapa C, & Buettner A. (2019). Quantification of Volatile Metabolites Derived From Garlic (Allium sativum) in Human Urine. Frontiers in Nutrition, 6, 43.

+ Open protocol

+ Expand

Headspace SPME-GC-MS Analysis of Milk Volatiles

Check if the same lab product or an alternative is used in the 5 most similar protocols

Analysis of volatile compounds was performed by headspace solid phase micro extraction gas chromatography with mass spectrometry (SPME-GC-MS). A Gerstel MPS2 autosampler was used to equilibrate samples at 37°C, with continuous stirring, for 10 min. The SPME fiber used for extraction of volatile compounds was divinylbenzene-carboxen-polydimethylsiloxane (DVB-CAR-PDMS) 50/30 μm (Supelco) measuring 20 mm in length. A 10 mL amber vial was used to prevent contact between the milk and the SPME fiber. Extraction of volatile compounds occurred for 10 min. The GC-MS instrument was a Thermo Fisher Trace GC Ultra with a Programmable Temperature Vaporiser connected to a Thermo ISQ mass spectrometer. The carrier gas was zero grade helium (99.995%, BOC New Zealand) at a constant flow rate of 1.1 mL per minute. Upon injection the SPME fiber was simultaneously desorbed and conditioned in the GC injector in high pressure splitless mode using a low-volume SPME-specific deactivated liner (0.75 mm ID) at 250°C for 10 min. The column was a Phenomenex 1701 capillary column (30 m × 250 μm × 0.25 μm). Oven temperature was set at initial temperature of 35°C and held for 4 min, followed by an increase of 5°C/min up to 165°C followed by an increase of 50°C/min up to 265°C. Data were acquired at a scan rate of 5 Hz in the range m/z 20–300.

Muelbert M., Bloomfield F.H., Pundir S., Harding J.E, & Pook C. (2021). Olfactory Cues in Infant Feeds: Volatile Profiles of Different Milks Fed to Preterm Infants. Frontiers in Nutrition, 7, 603090.

+ Open protocol

+ Expand

GC-MS Analysis of Chemical Profiles

Check if the same lab product or an alternative is used in the 5 most similar protocols

An Agilent 6890 GC with an Agilent DB-WAX column (60 m x 0.25 mm ID x 0.25 μm film thickness, Agilent 5973 mass spectrometer and Gerstel MPS 2 autosampler was used for chemical profiling. Sample injection was in splitless mode with Helium carrier gas at a constant flow of 1 mL/min. The injector temperature was 280 °C. Initial oven temperature was 40 °C, held for 2 min, and ramped at 5 °C/min to 260 °C for 4 min. The MS was auto-tuned and operated in scan mode with no solvent delay with a 280 °C transfer line temperature, the quadruple mass selector temperature was 150 °C and the source temperature was 230 °C. The MS operated in EI mode at an ionisation energy potential of 70 eV, in full scan mode over a mass range of 29–400 amu.

McAdam K.G., Tetteh J., Bishop L., Digard H., Cote J., Lubbe S, & Liu C. (2020). A Combined Study of Headspace Volatiles using Human Sensory, Mass Spectrometry and Chemometrics. Scientific Reports, 10, 7773.

+ Open protocol

+ Expand

GC-MS Analysis of Chemical Compounds

Check if the same lab product or an alternative is used in the 5 most similar protocols

The GC-MS analysis was performed on a Chromtech Evolution MS/MS triple quadrupole mass spectrometer built on an Agilent 5975 B inert XL EI/CI MSD system that was operated in full scan data acquisition mode. Samples were injected with a Gerstel MPS-2 autosampler using a 10-μL syringe. Separations were performed on an HP-5ms UI, length 30m, ID 0.25mm, film thick. 0.25 μm (J&W Folsom, USA). Helium was used as the carrier gas at a flow rate of 1.2 mL min^-1. The column oven temperature program started from 80°C, staying for 3 min, increased to 160°C at a rate of 8°C min^-1 where it remained for 10 min, then increased to 220°C at a rate of 13°C min^-1 and held for 5 min. Then the temperature was raised to 260°C min^-1 at a rate of 5°C min^-1, held for 10 min and finally ramped to 300°C at a rate of 5°C min^-1 held for 2 min. The transfer line, manifold, and source of ionization temperatures were 300, 40 and 230°C. The electron multiplier voltage was set at 2000 V. The total GC analysis lasted for 56.62 min.
Identified peaks in GC-MS were confirmed by comparing the acquired mass spectra with those in the commercial library of NIST 08.

Kasiotis K.M., Anastasiadou P., Papadopoulos A, & Machera K. (2017). Revisiting Greek Propolis: Chromatographic Analysis and Antioxidant Activity Study. PLoS ONE, 12(1), e0170077.

+ Open protocol

+ Expand

Untargeted Metabolomics of Chitin-Incubated Seawater

Check if the same lab product or an alternative is used in the 5 most similar protocols

We performed untargeted metabolomics of the seawater that surrounded 1,222 harvested chitin particles and of the initial, unincubated seawater (SI Appendix, Extended Methods). We used a binary LC pump (Agilent Technologies) and an MPS2 Autosampler (Gerstel) coupled to an Agilent 6520 time-of-flight mass spectrometer (Agilent Technologies) operated in negative mode, at 2 GHz, extended dynamic range, with an m/z (mass/charge) range of 50 to 1,000. Ions (Dataset S3) were annotated against a curated library of metabolites present in marine microbes, based on the BioCyc database (66 (link)). For metabolites that exceeded the limit of detection (SI Appendix, Extended Methods), the intensities of each ion were normalized between zero (the limit of detection) and one (the highest measured intensity of a given ion). Weighted ion intensities for each time point were calculated by taking the sum of all normalized intensities of ions in all samples for each time point.

Szabo R.E., Pontrelli S., Grilli J., Schwartzman J.A., Pollak S., Sauer U, & Cordero O.X. (2022). Historical contingencies and phage induction diversify bacterioplankton communities at the microscale. Proceedings of the National Academy of Sciences of the United States of America, 119(30), e2117748119.

+ Open protocol

+ Expand

GC-MS Analysis of Berry Volatiles

Check if the same lab product or an alternative is used in the 5 most similar protocols

A 2 cm tri-phase SPME fiber (50/30 μm DVB/Carboxen/PDMS, Supelco, Bellefonte, PA, USA) was used to collect and concentrate volatiles prior to running on an Agilent 6890 GC coupled with a 5973 N MS detector (Agilent Technologies, Palo Alto, CA, USA). Before analysis, samples were held at 4°C in a Peltier cooling tray attached to a MPS2 autosampler (Gerstel). All other volatile sampling and analysis methods were as previously described [15 ]. The volatile 3-hexanone was used as an internal control. An authentic γ-D standard (Sigma Aldrich, St. Louis, MO, USA) was run under the same chromatographic conditions as berry samples for verification of volatile identify. The area of each γ-D peak was normalized to the peak area of the internal standard, and normalized peak areas were compared between samples.

Chambers A.H., Pillet J., Plotto A., Bai J., Whitaker V.M, & Folta K.M. (2014). Identification of a strawberry flavor gene candidate using an integrated genetic-genomic-analytical chemistry approach. BMC Genomics, 15, 217.

+ Open protocol

+ Expand

GC-MS Metabolomics Data Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols

An Agilent 6890N GC oven (Agilent Technologies UK, Wokingham, United Kingdom) coupled to a Leco Pegasus III mass spectrometer (Leco, St. Joseph, MI) was used in conjunction with a Gerstel MPS-2 autosampler (Gerstel, Baltimore, MD) as previously described (63 (link), 64 (link)). All collected data were deconvoluted with Leco ChromaTOF software, and the metabolites detected were identified in accordance with the Metabolomics Standards Initiative guidelines (65 (link)). The chromatographic peak corresponding to IPTG was removed from the data before any further analysis to avoid any variation resulting from the presence of this compound. By using the QC samples, mass spectral features with high deviation and missing values were removed, followed by normalization of the peak areas according to the internal standard and OD₆₀₀ of each sample. All data collected were analyzed with Matlab version 8 (MathWorks Inc., Natick, MA). All preprocessed GC-MS peak areas were initially subjected to PCA (66 (link)), followed by discriminant function analysis (PC-DFA) where required (67 (link)). PCA and PC-DFA loading plots were used to determine the main metabolites contributing to the clustering patterns. The statistical significance (P < 0.05) of these metabolites was further confirmed by one-way analysis of variance (ANOVA) and Tukey’s post hoc test.

Morra R., Del Carratore F., Muhamadali H., Horga L.G., Halliwell S., Goodacre R., Breitling R, & Dixon N. (2018). Translation Stress Positively Regulates MscL-Dependent Excretion of Cytoplasmic Proteins. mBio, 9(1), e02118-17.

+ Open protocol

+ Expand

GC-MS Analysis of Volatile Compounds

Check if the same lab product or an alternative is used in the 5 most similar protocols

A divinylbenzene/carboxen/polydimethylsiloxane-coated fiber (DVB/CAR/PDMS 50/30 μm, Supelco, Bellefonte, PA, USA) was used for SPME. The GC-MS analysis was performed on an HP 7890A series II GC (Agilent Technologies, Wilmington, DE, USA) coupled to a mass spectrometer (HP 5975C, Agilent Technologies). Helium (99.999%) was used as the carrier gas with a column flow rate of 1.9 mL min⁻¹, and the capillary column used was HP-5 (50 m × 0.32 mm inner diameter, 0.52 μm film thickness, Agilent Technologies). An MPS2 autosampler (Gerstel, Linthicum, MD, USA) was used for automatic sample feeding. The injection of the sample and the data reading were according to [21 (link)]. The presumptive identification of volatile compounds was achieved by comparing the GC retention times and mass spectra with the data system library (NIST, 2005 software, Mass Spectral Search Program V.2.0d; NIST 2005, Washington, DC, USA).

Amaro-Reyes A., Marcial-Ramírez D., Vázquez-Landaverde P.A., Utrilla J., Escamilla-García M., Regalado C., Macias-Bobadilla G., Campos-Guillén J., Ramos-López M.A, & Favela-Camacho S.E. (2024). Electrostatic Fermentation: Molecular Response Insights for Tailored Beer Production. Foods, 13(4), 600.

+ Open protocol

+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!