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Thermo ultimate 3000 system

Manufactured by Thermo Fisher Scientific
Sourced in United States

The Thermo Ultimate 3000 system is a high-performance liquid chromatography (HPLC) instrument designed for analytical and preparative applications. It is capable of delivering reliable and reproducible results with its advanced technology and user-friendly interface.

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6 protocols using thermo ultimate 3000 system

1

UPLC-QTOF Analysis of Compound Mixtures

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The samples were analyzed using a Thermo Ultimate 3000 system (Thermo Fisher Scientific Inc., Waltham, MA, USA) equipped with a Waters Acquity UPLC® BEH C18 column (1.7 μm, 100 × 2.1 mm, Waters Co., Milford, MA, USA) at 35 °C with a wavelength detector set to 440 nm. The mobile phases of acetonitrile comprising 0.1% formic acid (A) and water comprising 0.1% formic acid (B) were used for UPLC. At a flow rate of 0.2 mL/min, the following gradient elution program was used: 0–8 min, linearly increasing from 10% A to 50% A; 8–12 min, linearly increasing from 50% A to 90% A; 12–13 min, linearly increasing from 90% A to 100% A; sustained 30 min.
The qualitative analysis of each product was performed using Agilent Technologies 1290 Infinity II and 6545 Q-TOF, together with Dual Agilent Jet Stream Electrospray Ionization sources (Agilent Technologies, Santa Clara, CA, USA). The drying gas was set at 350 °C and 8 L/min; the sheath gas was set at 350 °C, with a gas flow rate of 11 L/min. The nebulizer was set at 35 PSIG; the VCap was set at 3500 V. The data were analyzed using MassHunter (version B.07.00).
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2

Meat Quality Traits Evaluation

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The longissimus dorsi and semimembranosus muscles were cut to measure the meat quality traits according to previous reports (3 (link), 16 (link)). Briefly, the pH values were measured at 24 h (pH24h) after slaughter. Meat color measurements cover indicators L* (lightness), a* (redness), and b* (yellowness) after slaughter 24 h (L24h, a24h, and b24h). Drip loss, cooking loss, crude protein, and ash content were determined as described previously (3 (link), 17 (link)). Amino acid profile and fatty acid composition were determined using gas chromatography–mass spectrometry (GC–MS 7890B-5977A, Agilent, Palo Alto, CA, United States) and liquid chromatography–mass spectrometry (Liquid phase was performed on Thermo Ultimate 3,000 system, Thermo Fisher Scientific Inc., Waltham, MA, United States; Mass Spectrometry was performed on Thermo Q Exactive Focus mass spectrometer, Thermo Fisher Scientific Inc., Waltham, MA, United States), respectively.
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3

Serum Metabolite Extraction for UPLC-MS/MS

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After the samples were slowly thawed at 4°C in a salt-ice bath, 100 µl serum sample was precisely transferred by a pipettor to the 1.5 ml centrifuge tubes. Metabolites were extracted using a 400 µl methanol: water (4:1, v/v) solution with 0.02 mg/ml L-2-chlorophenylalanin as an internal standard, vortexed for 30 s, and extracted with low-temperature ultrasound for 30 min (5°C, 40 kHz). After extraction, the samples were left to stand at −20°C for 30 min. The sample was centrifuged (13000 rpm, 4°C, 15 min), and the supernatant was transferred to an UPLC-MS/MS injection vial for detection. Liquid chromatographic separations were performed on a Thermo Ultimate 3000 system (Thermo Fisher Scientific Inc., Waltham, MA, U.S.A.) equipped with a Waters ACQUITY UPLC® HSS T3 column (150 × 2.1 mm, 1.8 μm). Mass spectrometry operations were performed on a Thermo Q Exactive Focus mass spectrometer (Thermo Fisher Scientific Inc., Waltham, MA, U.S.A.) with spray voltages of 3.8 kV in positive ion mode (ESI+) and −2.5 kV in negative ion mode (ESI−), respectively.
A pooled quality control (QC) sample was prepared by mixing equal volumes of all samples. Metabolomics data have been deposited to the EMBL-EBI MetaboLights database (DOI: 10.1093/nar/gkz1019, PMID:31691833) with the identifier MTBLS4245. The complete dataset can be accessed here https://www.ebi.ac.uk/metabolights/MTBLS4245.
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4

HPLC Quantification of L-valine

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L-valine was determined by HPLC following the method described by Cigić et al. [33 ] with some modifications. Samples, before being injected, went through 0.2 μm cellulose nitrate filters. An AA standard curve (0.5, 0.4, 0.3, 0.2 and 0.1 μmol/mL) was used for quantification (external standard). Analyses were carried out in an HPLC Thermo Ultimate 3000 system (Thermo Fisher Scientific, EE. UU.), equipped with a quaternary pump, an automatic injector, a column thermostat set at 40 °C, and a diode arrangement detector with UV detection at 338 nm to quantify primary AA prederivatized with ortho-phthalaldehyde and 3-marcaptopropionic acid (3-MPA/OPA). Separation was performed in a Zorbax Eclipse AAA-C18 column (4.6 × 75 mm, Agilent, U.S.A), particle size 3.5 μm with Zorbax Eclipse AAA pre-column (4.6 × 12.5 mm, Agilent, U.S.A), particle size 5 μm.
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5

PNPB1 Molecular Characterization by HPGPC

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The homogeneity and molecular weight of PNPB1 were determined by high-performance gel permeation chromatography (HPGPC) using a Thermo Ultimate 3,000 system (Thermo Fisher Scientific Co., United States) equipped with an Alltech 2000 ES evaporative light scattering detector (ELSD) and a TSK gel G4000PWXL column (7.8 × 300 mm, Tosoh Corp, Tokyo, Japan). The sample solution (1.0 mg/mL, 10 μL) was injected and eluted with distilled water at 30°C with a flow rate of 1.0 mL/min (Qiao et al., 2010 (link)). The molecular weight of PNPB1 was estimated by reference to the calibration curve established by Dextran standards of known molecular weight (80 kDa, 150 kDa, 270 kDa, 410 kDa, 670 kDa and 990 kDa).
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6

Metabolite Profiling of Plant Accessions

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The extraction of metabolites was based on published methods [21 (link),22 (link)]. Chromatographic separation was accomplished in a Thermo Ultimate 3000 system (Thermo, Waltham, MA, USA) column. The ESI-MSn experiments were executed on the Thermo Q Exactive Focus mass spectrometer with the spray voltage of 3.8 kV and −2.5 kV in positive and negative modes, respectively. The metabolic profiling procedures were conducted according to [23 (link)]. The identification of the metabolites was according to the metabolite database established by BioNovoGene Corp. (Suzhou, Jiangsu, China). The differential metabolites between the two sets of contrasting accessions were identified according to the criteria of p-value ≤ 0.05 and fold change of pairwise comparison ≥1.5 or ≤0.67. Pathway analysis was conducted using Metaboanalyst 3.0, mainly based on KEGG pathway.
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