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Related Concept Videos

Glassware Calibration01:11

Glassware Calibration

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Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...
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Instrument Calibration01:12

Instrument Calibration

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Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
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Atomic Absorption Spectroscopy: Atomization Methods01:25

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Atomic Absorption Spectroscopy (AAS) atomizes samples through flame atomization or electrothermal atomization. Flame atomization typically involves a nebulizer and spray chamber assembly to combine the sample with a fuel–oxidant mixture, creating a fine aerosol mist that enters a burner. Typically, the fuel and oxidant are combined in an approximately stoichiometric ratio. However, for atoms that are easily oxidized, a fuel-rich mixture may be more advantageous. Only about 5% of the...
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Calibration Curves: Correlation Coefficient01:10

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In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
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Plotting and Calibrating the Root Locus01:19

Plotting and Calibrating the Root Locus

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Root loci often diverge as system poles shift from the real axis to the complex plane. Key points in this transition are the breakaway and break-in points, indicating where the root locus leaves and reenters the real axis. The branches of the root locus form an angle of 180/n degrees with the real axis, where n is the number of branches at a breakaway or break-in point.
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Calibration Curves: Linear Least Squares01:20

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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
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Updated: Feb 5, 2026

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy
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One-point and multi-line calibration method in laser-induced breakdown spectroscopy.

Z Q Hao, L Liu, R Zhou

    Optics Express
    |September 7, 2018
    PubMed
    Summary

    A new one-point and multi-line calibration (OP-MLC) method simplifies quantitative analysis in laser-induced breakdown spectroscopy (LIBS). This approach uses a single standard sample, offering a flexible and cost-effective solution for LIBS applications.

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    Area of Science:

    • Analytical Chemistry
    • Spectroscopy

    Background:

    • Calibration-free laser-induced breakdown spectroscopy (CF-LIBS) offers cost-effectiveness and speed.
    • A need exists for simpler, more flexible quantitative analysis methods in LIBS.

    Purpose of the Study:

    • To introduce a simplified quantitative analysis method for LIBS.
    • To validate the one-point and multi-line calibration (OP-MLC) approach.

    Main Methods:

    • Developed and applied the one-point and multi-line calibration (OP-MLC) method.
    • Utilized a single standard sample for calibration.
    • Analyzed six low-alloy steel samples.

    Main Results:

    • Achieved quantitative analysis of Mn, Cr, Ni, and Ti elements.
    • Reported average relative errors (AREs) of 9%, 22%, 21%, and 36% for Mn, Cr, Ni, and Ti, respectively.
    • Demonstrated feasibility with only one standard sample.

    Conclusions:

    • The OP-MLC-LIBS method provides a flexible and low-cost quantitative analysis approach.
    • This method eliminates the need for numerous standard samples and complex calculations.
    • Facilitates broader development and application of LIBS technology.