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Noise mobile phase/flow temperature

Electrolysis of mobile phase constituents will cause a continuous detector response (background current) resulting in a chromatographic baseline level that differs from the electrical detector zero-response level. The difference, baseline- offset, is an important analysis parameter, because baseline fluctuations (noise, drift) due to fluctuations in electrolysis conditions (potential, mobile phase flow rate, temperature) are proportional to baseline offset. See Figure 2-5 for an example of the influence of flow pulsation at different baseline offset... [Pg.16]

Figure 1. Effect of flow rate on the baseline noise of the viscometer trace (Mobile Phase THF, Temperature 30 C)... Figure 1. Effect of flow rate on the baseline noise of the viscometer trace (Mobile Phase THF, Temperature 30 C)...
Thermal noise due to mobile phase/flow cell temperature coefficient. [Pg.109]

The precision of retention data can be quite high [38], [58]. This is related to the precision with which the peak maximum can be located i.e.. it depends on column efficiency and on the signal-to-noise ratio. Reproducibility depends on the stability of the experimental parameters (i.e., the mobile-phase flow rate and the temperature). Reproducibility also depends on the stability of the. stationary phase, which is. unfortunately, much less satisfactory than often assumed. In gas-liquid... [Pg.190]

The temperature used to evaporate the mobile phase is critical. The flow tube is designed for the evaporation of high-boiling eluents (e.g., water) at low temperatures (40°F). Baseline noise is also critical, and the eluent stream must be particle free. [Pg.38]

Sultana et al. [88] developed a reversed-phase HPLC method for the simultaneous determination of omeprazole in Risek capsules. Omeprazole and the internal standard, diazepam, were separated by Shim-pack CLC-ODS (0.4 x 25 cm, 5 m) column. The mobile phase was methanol-water (80 20), pumped isocratically at ambient temperature. Analysis was run at a flow-rate of 1 ml/min at a detection wavelength of 302 nm. The method was specific and sensitive with a detection limit of 3.5 ng/ml at a signal-to-noise ratio of 4 1. The limit of quantification was set at 6.25 ng/ml. The calibration curve was linear over a concentration range of 6.25—1280 ng/ml. Precision and accuracy, demonstrated by within-day, between-day assay, and interoperator assays were lower than 10%. [Pg.223]

The response for the selected transition of analy te(s) and internal standard(s) should be optimized by repeated flow injections of a dilute solution in the mobile phase (resulting in a weak signal of may be 10 1 signal to noise) of analyte and standard. All instrument parameters (gas flows, temperature, source position etc.) should be optimized for maximum response according to the specific instrument type that is used... [Pg.610]

High signal to noise ratio. The noise arises as a result of fluctuations or perturbations caused to the signal as a result of temperature, pressure, or flow rate changes in the mobile phase. Noise is also caused by the electronic circuits used in the detector system. All these combined perturbations, called noise, should be low such that very low concentrations of solute can be detected. [Pg.533]

Refractive index detectors continuously monitor the difference in bulk RI of the mobile phase and that of a reference mobile phase containing no solute. As such, RI is a bulk property detector. Unlike UV detectors, RI detectors are highly sensitive to temperature fluctuations and somewhat sensitive to flow rate fluctuations. Temperature should be maintained within 0.001°C for high-sensitivity measurements. Noise equivalent concentration for RI is IQ- g/ml. ... [Pg.486]

According to another classification, the detectors can be divided into specific, universal and mixed. For the choice of the detection method, the properties of sample and mobile phase as well as experimental requirements are decisive however, sometimes several types of instruments based on the same detection principle are marketed. When judging the detectors one considers primarily (i) linearity, dynamic range and sensitivity, (ii) erroneous responses like noise and drift, caused in the former by the instability of operational variables such as temperature variations, pulsating eluent flow, etc. (iii) response distortion due to hydraulic broadening and skewing of the sample zone as well as response delay. [Pg.287]

Induced noises due to the temperature coefficient of photodlorde quantum efficiency, mobile phase absorbance, flow cell optical throughput and pump pulsations dominate the fixed wavelength shot noise, such that noise significantly below 10 au has not been achieved to date. [Pg.117]

Using Acquity UPLC HSS T3 column (50 x 2.1 mm i.d., 1.8 pm particle size) reversed-phase chromatography, water, 10 mM ammonium formate, 0.1% ammonium formate, 10 mM ammonium acetate, and 10 mM formic acid were tested for the aqneons bnffer component of the mobile phase, while methanol and acetonitrile were examined as the organic constituent Best peak shape, resolntion, and signal-to-noise ratio was achieved using a shallow gradient of 10 mM ammoninm formate and acetonitrile with an initial ratio of 95 5. Optimal chromatographic separations occurred at a flow rate of 0.3 mL/min, and a column temperature of dO C. The mass spectrometer was operated via positive ion mode ESI, and the vitamins were... [Pg.262]

An area of analytical chemistry very well suited to optimization strategies is high-performance liquid chromatography (HPLC). Many papers and a recent book have focused on simplex optimization experiments in this area. Among the factors that influence a chromatographic experiment, many are controllable and thus are susceptible to optimization, but some are not. Examples of uncontrollable faaors include noise, drift, and column performance. Examples of controllable factors include flow rates of mobile phase, mobile phase composition, and temperature. [Pg.172]

After tuning and calibration, the proper functioning of the interface can further be investigated by the injection of a number of standard compounds, e.g. adenosine and tertiary amines, as well as the com-pound(s) of interest. Subsequently, the system can be optimized to achieve the highest response or the best signaTto-noise ratio. Parameters to be studied are the ammonium acetate concentration, the concentrations of the organic modifier and possible other mobile phase additives, the flow-rate, the optimum compound-dependent vaporizer temperature, the source block temperature, the repeller potential, as... [Pg.1190]


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Mobile phase flow

Mobile phases temperature

Noise temperature

Phase flow

Temperature flowing

Temperature mobilities

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