Hystar 3
HyStar 3.2 is a software application for Bruker mass spectrometers. It provides data acquisition, processing, and analysis functionality for these instruments.
Market Availability & Pricing
The Compass® HyStar software package is officially commercialized by Bruker and available through authorized distributors. It is designed to configure and control hardware for hyphenated experiments, combining chromatographic separation techniques (GC and LC) with mass spectrometric systems. Compass® HyStar supports quantitation, identification, and screening tasks and serves as the foundation for Bruker's complete solutions, such as Toxtyper® and BioPharma Compass®.
Pricing information for Compass® HyStar is not publicly disclosed on Bruker's official website or through authorized distributors. For detailed pricing, please contact Bruker directly or consult an authorized distributor.
Need Operating Instructions, SDS, or distributor details? Just ask our AI Agent.
Is this product still available?
Get pricing insights and sourcing optionsLab products found in correlation
127 protocols using «hystar 3»
Quantitative Analysis of Quinine by HPLC-MS
UHPLC-MS Analysis of Complex Samples
The mass spectrometry parameters were configured for a mass range of 100 to 1000 Da. The nebulizing gas pressure was set to 2.8 bar, the drying gas flow was maintained at 12 L/min, and the drying gas temperature was set to 300 °C. Calibration with sodium formate was performed before each chromatographic run. Instrument control and data processing utilized specific software from Bruker Daltonics, including Chromeleon, TofControl 3.2, Hystar 3.2, and Data Analysis 4.2.
Nano-HPLC-Q-TOF Mass Spectrometry of Protein Digest
The samples (5 μL) were injected into precolumn (trap column) NS-MP-10 Biosphere C18 (particle size: 5 μm, pore size: 12 nm, length: 20 mm, inner diameter: 100 μm) and column NS-AC-12dp3-C18 Biosphere C18 (particle size: 3 μm, pore size: 12 nm, length: 200 mm, inner diameter: 75 μm) both prepared by NanoSeparations (Nieuwkoop, Holland).
The separation was done by a linear gradient between water (phase A) and acetonitrile (phase B) both containing 0.1% (v/v) formic acid. The elution started by mobile phase consists with 5% B, next 5 min followed by a gradient elution to 7% B, after by gradient elution 30% B at 180 min. Next 10 min the column was eluted by a gradient to 50% B, and the last 10 min eluted by a gradient to 100% B. Finally, the column was washed with 100% B for 20 min. The column was equilibrated between runs by 5% B for 10 min. The temperature of separation was an ambient temperature (25 °C) when the flow rate was 0.20 μL/min.
On-line nano-electrospray ionization (easy nano-ESI) was used in positive mode. The ESI voltage was set to +4.5 kV, scan time 3 Hz. The drying gas was nitrogen: flow rate 4 L/min and temperature 180 °C; The nebulizer pressure was set as 100 kPa. The masses were scanned in the range from 50 to 2200 m/z. As the internal mass lock was used a monocharged ion of C24H19F36N3O6P3 (m/z 1221.9906). To enable an accurate molecular mass determination the mass spectra corresponding to each signal from the total ion current chromatogram were averaged.
Quantitative Analysis of Alkaloids in UT Extract
Tacrolimus Quantification via UHPLC-MS
Prior to starting the automated Architect sequence, a manual pretreatment step was carried out. In this step, the whole blood sample was treated with a precipitation reagent and then centrifuged. The resulting supernatant was carefully transferred into a Transplant Pretreatment Tube and then loaded onto the Architect iSystem for further analysis.
The UHPLC-MS analysis was conducted using a Bruker Daltonics MaXis Impact system (Bruker GmbH, Bremen, Germany), which included a Thermo Scientific HPLC UltiMate 3000 system equipped with a Dionex Ultimate quaternary pump and ESI+-QTOF-MS detection. The analysis was performed on a C18 reverse-phase column (Acquity, UPLC C18 BEH, Dionex) with dimensions of 5 μm and 2.1 × 75 mm, maintained at 25 °C with a flow rate of 0.3 ml/min. The injection volume was set to 5.0 μl. The mobile phase utilized a gradient of eluents, with eluent A being water containing 0.1% formic acid, and eluent B comprising a 1:1 mixture of methanol and acetonitrile, also containing 0.1% formic acid. The gradient system progressed from 99% A at minute 0, to 70% A at minute 1, 40% A at minute 2, 20% A at minute 6, 100% B from minutes 9 to 10, followed by a return to 99% A for the final 5 minutes. The total runtime was 15 minutes.
The MS parameters were set for a mass range between 50–1000 Da. The nebulizing gas pressure was set at 2.8 bar, the drying gas flow at 12 L/min, and the drying gas temperature at 300 °C. Before each chromatographic run, a calibration with sodium formiate was done. The instrument control and data processing used the specific software provided by Bruker Daltonics, namely TofControl 3.2, Hystar 3.2, and Data Analysis 4.2.
Top 5 most cited protocols using «hystar 3»
Isolation and Bioactivity Evaluation of Phenolic Compounds from Salvia chloroleuca
Chemicals Porcine pancreas α-amylase type VI (EC 3.2.1.1), α-glucosidase type I from Baker’s Yeast (EC 3.2.1.20), 3,5-dinitrosalicylic acid (DNS), p-nitrophenyl-α-D-glucopyranose (PNPG), maltose and acarbose were obtained from Sigma-Aldrich (Paris, France). Soluble starch, sodium dihydrogenphosphate (NaH2PO4), sodium potassium tartrate and sodium chloride were purchased from Merck. Analytical grade solvents for extraction and HPLC grade solvents for chromatography were from Scharlau (Barcelona, Spain). HPLC grade water was obtained by an EASY-pure II (Barnstead, Dubuque IA, USA) water purification system. Deuterated solvents were purchased from Armar Chemicals (Döttingen, Switzerland).
General Analytical HPLC separations were carried out on a system consisting of a 1100 series binary high-pressure mixing pump with degasser module, column oven and a 1100 series PDA detector (all Agilent, Waldbronn, Germany). A Gilson 215 liquid handler with a Gilson 819 injection module and 50 μL loop was used as autosampler. The HPLC was coupled to an Esquire 3000 Plus ion trap mass spectrometer equipped with an electrospray (ESI) interface (Bruker Daltonics, Bremen, Germany). Data acquisition and processing was performed using HyStar 3.0 software (Bruker Daltonics). Semi-preparative HPLC separations were carried out on an Agilent 1100 series HPLC system consisting of a 1100 series quaternary low-pressure mixing pump with degasser module, column oven, a 1100 series PDA detector, and an autosampler with a 1000 μL loop. The preparative HPLC system consisted of a Shimadzu SCL-10VP controller and binary pump (LC-8A), a UV–vis SPD-M10A VP detector and Class-VP 6.12 as software. NMR spectra were recorded on an Avance III spectrometer operating at 500 MHz and 125 MHz for 1H and 13C, respectively (Bruker Biospin, Fällanden, Switzerland). A 1 mm TXI probe was used, and data processing was performed with Topspin 2.1 (Bruker). Absorbance of enzyme-assay reaction mixture was measured by BioTek microplate reader (XS2).
Plant materialThe aerial parts of S. chloroleuca Rech. f. & Aell. were collected from Shahrestanak, Tehran province of Iran, in June 2008 at an altitude of 2300 m. The plant was botanically identified by Dr. Ali Sonboli of Biology Department of Medicinal Plants and Drug Research Institute, Shahid Beheshti University, Tehran, Iran. Voucher specimen (MPH 845) has been deposited at the herbarium of Medicinal Plants and Drugs, Research Institute, Shahid Beheshti University, Tehran, Iran.
Extraction and isolation Dried leaf material (100 g) was ground with a ZM 1 ultra-centrifugal mill (Retsch, Haan, Germany) equipped with a 0.75 mm Conidur ring sieve, and extracted by successive percolation with n-hexane, ethylacetate and methanol (2 L each). After evaporation to dryness under reduced pressure, 20 g of methanol extract was obtained. The extract was suspended in distilled water and loaded onto a Diaion HP-20 column (5 × 40 cm) i.d. After washing with water, the column was eluted with methanol (3 L), to provide a fraction enriched in phenolic compounds (8.1 g). This fraction was subjected to column chromatography over sephadex LH-20 (2×50 cm) i.d, eluted with methanol. After screening by TLC the obtained fractions with similar compositions were pooled, to yield 5 combined fractions (F1-F5). These main fractions were assayed for their α-amylase and α-glucosidase inhibition activities. The most active fractions were separated by preparative HPLC (SunFire C18, 5 μm, 150 × 30 mm i.d., Waters) with 10-100 % of methanol in water (both containing 0.1 % formic acid), over 40 min at a flow rate of 20 mL/min, and injection volume of 200 µL. Collected peaks from preparative HPLC were evaporated and subjected to semi-preparative HPLC (SunFire C18, 5 μm, 150 × 10 mm i.d., Waters) with 10-100 % methanol in water (both containing 0.1 % formic acid) over 40 min, at a flow rate of 4 mL/min. Several injections yielded compounds 1 (8 mg), 2 (5 mg) from F3 and 3 (6 mg) from F4. The n-hexane extract was separated on silica gel using n-hexane-ethylacetate mixtures as eluent. Fractions obtained with 40% ethylacetate (250 mg) were purified by semi-preparative HPLC, and yielded the known compound salvigenin (4 (link)) (20 mg). The detailed purification process of active components (1 (link)-4 (link)) was performed by the flowchart scheme described in
Luteolin 7-O-glucoside (1)1H NMR (500 MHz, DMSO-d6) δ 3.16-3.46 (m, sugar-H), 3.69(d, J = 11.0 Hz, H-5″), 5.02 (d, J = 7.4 Hz, H-1″), 6.41 (d, J = 2.0 Hz, H-6), 6.67 (s, H-3), 6.74 (d, J = 2.0 Hz, H-8), 6.87 (d, J = 8.3 Hz, H-5′), 7.37-7.40 (m, H-2′,6′). UV λmax 254 nm, 350 nm. MS (m/z) 447.1 [M-H]-.
Luteolin 7-O-glucuronide (2)1H NMR (500 MHz, DMSO-d6) δ 3.28-3.51 (m, sugar-H), 3.98 (d, J = 9.3 Hz, H-5″), 5.23 (d, J = 7.2 Hz, H-1″), 6.45 (d, J = 2.0 Hz, H-6), 6.70 (s, H-3), 6.79 (d, J = 2.0 Hz, H-8), 6.91 (d, J = 8.5 Hz, H-5′), 7.40-7.45 (br s, H-2′, 6′). UV λmax 254 nm, 350 nm. MS (m/z) 461.1 [M-H]-.
Diosmetin 7-O-glucuronide (3)1H NMR (500 MHz, DMSO-d6) δ 3.33-3.45 (m, sugar-H), 3.90 (s, OMe-4′), 4.02 (d, J = 9.6 Hz, H-5″), 5.25 (d, J = 7.3 Hz, H-1″), 6.47 (d, J = 2.0 Hz, H-6), 6.86 (d, J = 2.0 Hz, H-8), 6.93 (s, H-3), 6.95 (d, J = 8.3 Hz, H-5′), 7.55-7.40 (m, H-2′, 6′). UV λmax 268 nm, 345 nm. MS (m/z) 475.1 [M-H]-.
Salvigenin (4)1H NMR (500 MHz, CDCl3) δ 3.89 (s, OMe-4′), 3.92 (s, OMe-7), 3.96 (s, OMe-6), 6.54 (s, H-8), 6.58 (s, H-3), 7.02 (d, J = 9.0 Hz, H-3′, 5′), 7.84 (d, J = 9.0 Hz, H-2′, 6′). UV λmax 274 nm, 330 nm. MS (m/z) 329.1 [M+H]+.
α-Amylase inhibition assayα-Amylase inhibition activity was assessed by a previously reported procedure with some modifications (17 ). The assay system, which was carried out in 96-well plates, comprised the following components in a total volume of 250 µL: 100 mM sodium phosphate (pH 6.8), 17 mM NaCl, 1.5 mg Soluble starch, 50 µL of inhibitor solution in DMSO at various concentrations (for pure compounds 12.5, 25, 50, 100 and 150 µM), and 10 µL of enzyme solution (25 unit/mL). After incubation at 37 °C for 30 min, the reaction was stopped by addition of 20 µL NaOH (2N) and 20 µL color reagent (4.4 µM of 3,5-dinitrosalisylic acid, 106 µM of potassium sodium tartarate tetrahydrate and 40 µM of NaOH) followed by a 20 min incubation at 100 °C water bath. α-Amylase activity was determined by measuring the absorbance of the mixture, due to the maltose generated at 540 nm. Individual blanks were prepared to correct for the blank ground absorbance, where the enzyme was replaced with buffer as follows:
Corrected absorbance of test sample = Absorbance of sample –absorbance of blank
From the net absorbance obtained, the % (w/v) of maltose generated was calculated from the equation obtained from the maltose standard calibration curve (0–0.1%, w/v, maltose).
Control incubations, representing 100% enzyme activity, were conducted in the same manner replacing the plant extract with DMSO. The percentage of α-amylase inhibition was calculated by the following equations:
% α-amylase inhibition activity= 100 - % reaction
α-Glucosidase inhibition assayThe α-glucosidase inhibition was measured according to an earlier reported bioassay method (18 ). The mixture contained 20 µL α-glucosidase (0.5 unit/mL), 120 µL of 0.1 M phosphate buffer (pH 6.9) and 10 µL of test sample at varying concentrations (for pure compounds 5, 10, 15, 30 and 50 µM). The mixed solution was incubated in 96-well plates at 37 °C for 15 min. After preincubation, the enzymatic reaction was initiated by adding 20 µL of 5 mM p-nitrophenyl-α-D-glucopyranoside solution in 0.1 M phosphate buffer (pH 6.9), and the reaction mixture was incubated for another 15 min at 37 °C. The reaction was stopped by adding 80 µL of 0.2 M sodium carbonate solution and then the absorbance was measured by microplate reader at 405 nm. The reaction system without plant extracts was used as control and the system without α-glucosidase was used as blank for correcting the background absorbance. The inhibitory rate of sample on α-glucosidase was calculated by the following formula:
Corresponding organizations : Imam Khomeini International University, Shahid Beheshti University, University of Basel
Tryptic Digest Analysis by LC-ESI-Q-TOF-MS
One microliter of the tryptic digest (1:7 dilution, dissolved in water) was loaded onto a C18 μ-pre column (PepMap100; 300 μm × 5 mm, 5 μm, 100 Å, Thermo Scientific) with 10 μL/min of 99% water/ 1% ACN/ 0.05% TFA for 5 min. (Glyco-) peptides were separated on a C18 analytical column (Acclaim PepMap RSLC; 75 μm × 15 cm, 2 μm, 100 Å, Thermo Scientific, Breda) and elution was performed at a flow rate of 700 nL/min with buffer A [water containing 0.1% FA (v/v)] and buffer B [80% acetonitrile/20% water containing 0.1% FA (v/v)]. A linear gradient of 3%–40% buffer B in 15 min was applied followed by column washing and reconditioning.
The CaptiveSpray nanoBooster was operated with acetonitrile-enriched gas (0.2 bar) and 3 L/min dry gas at 150 °C and a capillary voltage of 1200 V. MS spectra were acquired within a mass range of m/z 50–2800. As before, basic stepping mode was applied for the tandem MS collision energy (100%–50%) each 80% and 20% of the time, respectively, and collision energies were set as a linear curve in a m/z dependent manner ranging from 55 eV at m/z 700 to 124 eV at m/z 1800, for all charge states. In this setup, product-ion spectra were generated from the three most abundant precursors in a range of m/z 550–2800 with an isolation width of 8–10 Da depending on m/z values. MS was performed at a spectra rate of 1 Hz, tandem MS at 0.5 to 2 Hz dependent upon precursor intensity.
Corresponding organizations : Max Planck Institute of Colloids and Interfaces, Freie Universität Berlin, Vrije Universiteit Amsterdam, Bruker (Germany), Netherlands Metabolomics Centre, Leiden University Medical Center
HPLC-PDA-ESI-MS/MS Analysis of Anthocyanins and Copigments
Corresponding organizations : Technische Universität Braunschweig, University of Kaiserslautern
Identification of Ivermectin Metabolites
Corresponding organizations : Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Armed Forces Research Institute of Medical Science, Bruker (Germany), University of South Florida, Walter Reed Army Institute of Research, Center for Global Health, University of Oxford
UPLC-QTOF Analysis of Phenolic Compounds
Corresponding organizations : Kaunas University of Technology, Instituto de Biologia Experimental e Tecnológica
Spelling variants (same manufacturer)
The spelling variants listed above correspond to different ways the product may be referred to in scientific literature.
These variants have been automatically detected by our extraction engine, which groups similar formulations based on semantic similarity.
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?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!