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Related Concept Videos

Instrument Calibration01:12

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...
Calibration Curves: Linear Least Squares01:20

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...
Atomic Emission Spectroscopy: Lab01:29

Atomic Emission Spectroscopy: Lab

AES is a powerful analytical technique, especially effective when used with plasma sources, producing abundant spectra in characteristic emission lines. The Inductively Coupled Plasma (ICP), in particular, yields superior quantitative analytical data due to its high stability, low noise, low background, and minimal interferences under optimal experimental conditions. However, newer air-operated microwave sources are emerging as promising alternatives that could be more cost-effective than...
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

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 other increases, and...

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Related Experiment Video

Updated: Jun 17, 2026

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

[Study on a method of selecting calibration samples in NIR spectral analysis].

Chong Qin1, Wen-Wen Chen, Xiong-Kui He

  • 1College of Science, China Agricultural University, Beijing 100193, China.

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|December 30, 2009
PubMed
Summary
This summary is machine-generated.

A new method using maximum linearly independent groups efficiently selects representative calibration samples for near-infrared (NIR) spectral analysis. This approach improves accuracy and cost-effectiveness compared to random selection.

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O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
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O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

Spectroscopic Super-resolution Imaging of DNA Molecules using Intrinsic Contrast
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Spectroscopic Super-resolution Imaging of DNA Molecules using Intrinsic Contrast

Published on: March 6, 2026

Area of Science:

  • Analytical Chemistry
  • Chemometrics

Context:

  • Near-infrared (NIR) spectral analysis is crucial for quantitative analysis.
  • Selecting representative calibration samples is vital for building accurate predictive models.
  • Traditional methods like random selection may not be optimal for sample set reduction.

Purpose:

  • To introduce a novel method for selecting representative calibration samples based on maximum linearly independent groups.
  • To evaluate the effectiveness of this method in near-infrared spectral analysis of tobacco powder.
  • To compare the proposed method with random sample selection for model building.

Summary:

  • A method utilizing maximum linearly independent vectors was employed to select calibration samples from a large dataset of tobacco powder spectra.
  • Regression models (PLS) were built using these selected samples to predict total sugar content.
  • The method demonstrated superior predictive accuracy and cost-effectiveness compared to random sample selection, even with a reduced number of calibration samples.

Impact:

  • The proposed method significantly enhances the cost-effectiveness of NIR spectral analysis by minimizing the need for extensive chemical measurements.
  • It improves the accuracy of predictive models, leading to more reliable analytical results.
  • This technique offers a valuable tool for optimizing sample selection in various NIR spectral analysis applications.