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  2. Sample preparation in mass spectrometry - Wikipedia

    en.wikipedia.org/wiki/Sample_preparation_in_mass...

    Sample preparation for mass spectrometry is used for the optimization of a sample for analysis in a mass spectrometer (MS). Each ionization method has certain factors that must be considered for that method to be successful, such as volume, concentration, sample phase, and composition of the analyte solution. Quite possibly the most important ...

  3. Sample preparation - Wikipedia

    en.wikipedia.org/wiki/Sample_preparation

    In analytical chemistry, sample preparation (working-up) refers to the ways in which a sample is treated prior to its analyses. Preparation is a very important step in most analytical techniques, because the techniques are often not responsive to the analyte in its in-situ form, or the results are distorted by interfering species .

  4. Data preparation - Wikipedia

    en.wikipedia.org/wiki/Data_preparation

    Given the variety of data sources (e.g. databases, business applications) that provide data and formats that data can arrive in, data preparation can be quite involved and complex. There are many tools and technologies [5] that are used for data preparation. The cost of cleaning the data should always be balanced against the value of the ...

  5. Standard addition - Wikipedia

    en.wikipedia.org/wiki/Standard_addition

    To apply this method, analysts prepare multiple solutions containing equal amounts of unknown and spike them with varying concentrations of the analyte. The amount of unknown and the total volume are the same across the standards and the only difference between the standards is the amount of analyte spiked.

  6. Standard solution - Wikipedia

    en.wikipedia.org/wiki/Standard_solution

    In analytical chemistry, a standard solution (titrant or titrator) is a solution containing an accurately known concentration. Standard solutions are generally prepared by dissolving a solute of known mass into a solvent to a precise volume, or by diluting a solution of known concentration with more solvent. [ 1 ]

  7. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Data about applicant's family and various other factors included. 12,960 Text Classification 1997 [480] [481] V. Rajkovic et al. University Dataset Data describing attributed of a large number of universities. None. 285 Text Clustering, classification 1988 [482] S. Sounders et al. Blood Transfusion Service Center Dataset

  8. Data-independent acquisition - Wikipedia

    en.wikipedia.org/wiki/Data-independent_acquisition

    Data analysis is generally challenging for DIA methods as the resulting fragment ion spectra are highly multiplexed. In DIA spectra therefore the direct relation between a precursor ion and its fragment ions is lost since the fragment ions in DIA spectra may potentially result from multiple precursor ions (any precursor ion present in the m/z range from which the DIA spectrum was derived).

  9. Analytical quality control - Wikipedia

    en.wikipedia.org/wiki/Analytical_quality_control

    The qualitative and quantitative data generated from the laboratory can then be used for decision making. In the chemical sense, quantitative analysis refers to the measurement of the amount or concentration of an element or chemical compound in a matrix that differs from the element or compound. [ 3 ]