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Instrument Calibration

Instrument Calibration

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
An analytical balance measures mass and requires regular calibration to...

Glassware Calibration

Glassware Calibration

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...

Calibration Curves: Linear Least Squares

Calibration Curves: Linear Least Squares

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.
For data that follow a straight line, the standard method for fitting is the linear...

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Related Experiment Video

Updated: Dec 14, 2025

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

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Published on: March 20, 2017

Calibration Transfer for LED-Based Optical Multisensor Systems.

Anastasiia Surkova^1,2, Andrey Bogomolov^2,3, Andrey Legin¹

¹Institute of Chemistry, St. Petersburg State University, Universitetskaya nab. 7-9, Mendeleev Center, 199034 St. Petersburg, Russia.

|July 22, 2020

Summary

This summary is machine-generated.

Calibration model transfer successfully expanded regression model applicability to new analytical devices. Direct standardization proved most effective for transferring models between optical multisensor systems.

Keywords:

calibration transfer direct standardization optical multisensor system optical spectroscopy slope and bias correction

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Area of Science:

Analytical Chemistry
Spectroscopy
Chemometrics

Background:

Multivariate calibration models are crucial for quantitative analysis.
Expanding model applicability to diverse analytical instruments is a significant challenge.
Calibration model transfer aims to adapt existing models to new devices, reducing recalibration efforts.

Purpose of the Study:

To demonstrate the feasibility of calibration model transfer between dissimilar instruments (spectrometer to multisensor).
To investigate model transfer between similar instruments (multisensor to multisensor).
To compare different model transfer protocols for optimal performance.

Main Methods:

Development and application of multivariate calibration models.
Implementation of calibration transfer techniques, including Direct Standardization (DS) and Slope and Bias Correction (SBC).
Utilizing a designed set of training and transfer samples for validation.

Main Results:

Successful calibration model transfer was achieved between a laboratory spectrometer and an optical multisensor system.
Effective model transfer was also demonstrated between two optical multisensor systems.
Direct standardization yielded the best results for model transfer between multisensor systems with minimal precision loss.

Conclusions:

Calibration model transfer is feasible across different types of analytical devices.
Direct standardization is a highly effective protocol for transferring models between optical multisensor systems.
The study validates a cost-effective approach to analytical model deployment.