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Related Concept Videos

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
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Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
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Qualitative Analysis01:10

Qualitative Analysis

Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
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Spectrophotometry: Introduction01:16

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Spectrophotometry is the quantitative measurement of the absorption, reflection, diffraction, or transmission of electromagnetic radiation through a material as a function of the intensity and wavelength of the radiation. A spectrophotometer is a device used to measure the change in the radiation intensity caused by its interaction with the material.
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Applications of IR Spectroscopy: Overview01:11

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The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
IR and UV–Vis Spectroscopy of Carboxylic Acids01:28

IR and UV–Vis Spectroscopy of Carboxylic Acids

In IR spectroscopy of carboxylic acids, the C=O bond shows a characteristic band between 1710 and 1760 cm⁻¹, and the O–H bond exhibits a broad band between 2500 and 3300 cm⁻¹.
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Updated: May 7, 2026

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

Micro-analysis by near-infrared diffuse reflectance spectroscopy with chemometric methods.

Yan Liu1, Yu Ning, Wensheng Cai

  • 1College of Chemistry, Nankai University, Tianjin, 300071, P.R. China. xshao@nankai.edu.cn.

The Analyst
|September 14, 2013
PubMed
Summary

Near-infrared diffuse reflectance spectroscopy (NIRDRS) can achieve sensitive micro-component detection. By minimizing noise and background with chemometric methods, trace pesticides and Cr(3+) were quantitatively determined.

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Last Updated: May 7, 2026

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Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy

Background:

  • Near-infrared diffuse reflectance spectroscopy (NIRDRS) is practical for complex samples.
  • Its application in micro-analysis is limited by low sensitivity and high detection limits.

Purpose of the Study:

  • To investigate the sensitive detection of micro-components using NIRDRS combined with chemometric methods.
  • To overcome the limitations of low sensitivity in micro-analytical applications of NIRDRS.

Main Methods:

  • Utilized NIRDRS with chemometric approaches on two experimental datasets.
  • Employed preconcentration techniques to minimize noise and background.
  • Applied quantitative determination for low concentrations of pesticides and trace Cr(3+).

Main Results:

  • Achieved very high sensitivity by minimizing noise and variant background.
  • Successfully performed quantitative determination of pesticides and trace Cr(3+) at low concentrations.
  • Demonstrated absolute prediction errors as low as 7.6 μg for pesticides and 28.6 μg for Cr(3+).

Conclusions:

  • Sensitive detection of micro-components using NIRDRS is feasible with chemometric methods.
  • Preconcentration and chemometrics effectively minimize noise and background for enhanced sensitivity.
  • The developed method offers accurate quantitative analysis for trace analytes in solutions.