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Related Concept Videos

Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

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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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Instrument Calibration01:12

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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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Blank Solutions00:56

Blank Solutions

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A blank solution is a solution that does not contain the analyte, or the substance of interest being tested or measured. It is typically prepared using the same reagents and procedure as the sample solution but without adding the analyte. The primary purpose of preparing a blank solution is to account for any background interference or contamination that may affect the accuracy and reliability of the analytical method.
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Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

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The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
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Quantitative Analysis01:12

Quantitative Analysis

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Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
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Atomic Absorption Spectroscopy: Lab01:21

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For AAS measurements, samples must be introduced as clear solutions, often requiring extensive preliminary treatment to dissolve materials like soils, animal tissues, and minerals. Common methods for sample preparation include treatment with hot mineral acids, wet ashing, combustion in closed containers, high-temperature ashing, or fusion with reagents.
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Updated: Jun 13, 2025

Calibration-free In Vitro Quantification of Protein Homo-oligomerization Using Commercial Instrumentation and Free, Open Source Brightness Analysis Software
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The case for calibration-free concentration analysis.

Shannon D Chilewski1

  • 1Bristol Myers Squibb, Precision Medicine, Bioanalytical, and Translational Sciences, Princeton, NJ, USA.

Bioanalysis
|June 12, 2025
PubMed
Summary
This summary is machine-generated.

Calibration-free concentration analysis (CFCA) precisely measures active protein concentration using surface plasmon resonance (SPR). This method enhances assay reproducibility and reduces variability in protein reagents.

Keywords:
Critical reagentsbioanalyticalcalibration-free concentration analysisconcentration analysisligand binding assaysrecombinant proteins

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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Biotechnology

Background:

  • Accurate protein quantification is essential for reliable biological assays.
  • Traditional methods measure total protein, not functional protein concentration.
  • Variability in protein reagents impacts assay performance and reproducibility.

Purpose of the Study:

  • To introduce Calibration-Free Concentration Analysis (CFCA) as a superior method for protein quantification.
  • To advocate for the broader adoption of CFCA in protein reagent characterization.
  • To highlight CFCA's potential to improve assay standardization and reduce variability.

Main Methods:

  • Utilizes Surface Plasmon Resonance (SPR) technology.
  • Employs binding under partially mass-transport limited conditions.
  • Directly quantifies functional protein concentration in a sample.

Main Results:

  • CFCA specifically measures active protein concentration, unlike total protein assays.
  • Overcomes variability issues inherent in recombinant protein production.
  • Offers a pathway to reduce lot-to-lot and vendor-to-vendor variability.

Conclusions:

  • CFCA provides a more accurate and reliable measure of protein concentration.
  • Widespread adoption of CFCA can enhance reproducibility and standardization in biological assays.
  • CFCA is a valuable tool for characterizing protein reagents in research and development.