Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

2.3K
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
2.3K
IR Spectrometers01:25

IR Spectrometers

3.4K
There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
3.4K
Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

3.0K
Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
3.0K
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

1.9K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
1.9K
¹H NMR Signal Integration: Overview00:58

¹H NMR Signal Integration: Overview

4.1K
The intensity of a signal, which can be represented by the area under the peak, depends on the number of protons contributing to that signal. The area under each peak is shown as a vertical line called an integral, with the integral value listed under it, as seen in the proton NMR spectrum of benzyl acetate. Each integral value is divided by the smallest integral value to obtain the ratio of the number of protons producing each signal. The ratio reveals the relative number of protons and not...
4.1K
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

1.6K
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.
The ATR process begins by directing a beam...
1.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Schwertmannite transformation under strongly-acidic conditions favoring jarosite precipitation: The effect of arsenic(V) and temperature.

Journal of hazardous materials·2026
Same author

Weathering of scorodite by root exudates: Arsenic dissolution and solid-phase speciation.

Journal of hazardous materials·2026
Same author

Barium distribution, dynamics and fate in terrestrial and aquatic environments.

Environmental research·2025
Same author

Time-Dependent Influence of Nanoparticulate Foliar Selenium on Wheat Photosynthesis and Selenium Biotransformation.

Plant, cell & environment·2025
Same author

Birnessite-Mediated Phosphorus Transformation and Speciation in Dissolved and Soil Organic Matter.

Environmental science & technology·2025
Same author

Is beudantite a stable host phase of arsenic and lead? New insights from molecular-scale kinetic analyses.

Journal of hazardous materials·2024

Related Experiment Video

Updated: Apr 1, 2026

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
08:43

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis

Published on: May 11, 2017

13.1K

Novel methodologies for automatically and simultaneously determining BTEX components using FTIR spectra.

Liang Wang1, Erming Liu2, Ying Cheng1

  • 1Global Centre for Environmental Remediation (GCER), Faculty of Science and Information Technology, University of Newcastle, Callaghan, NSW 2308, Australia; CRC for Contamination Assessment and Remediation of Environment, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, Australia.

Talanta
|October 11, 2015
PubMed
Summary

This study presents a new automated system for analyzing Fourier Transform Infrared Spectrometer (FTIR) data to simultaneously detect multiple petroleum hydrocarbons (PHs). The method accurately identifies BTEX components in real samples, validated against GC-MS.

Keywords:
Back-propagation Neural Network (BPNN)Baseline CorrectionBenzeneCurve fittingEthylbenzene and xylenes (BTEX)Fourier Transform Infrared Spectrometer (FTIR)Toluene

More Related Videos

Chemical Analysis of Water-accommodated Fractions of Crude Oil Spills Using TIMS-FT-ICR MS
08:17

Chemical Analysis of Water-accommodated Fractions of Crude Oil Spills Using TIMS-FT-ICR MS

Published on: March 3, 2017

11.8K
High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology
11:05

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology

Published on: January 21, 2015

34.1K

Related Experiment Videos

Last Updated: Apr 1, 2026

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
08:43

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis

Published on: May 11, 2017

13.1K
Chemical Analysis of Water-accommodated Fractions of Crude Oil Spills Using TIMS-FT-ICR MS
08:17

Chemical Analysis of Water-accommodated Fractions of Crude Oil Spills Using TIMS-FT-ICR MS

Published on: March 3, 2017

11.8K
High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology
11:05

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology

Published on: January 21, 2015

34.1K

Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Environmental Science

Background:

  • Petroleum hydrocarbons (PHs), including BTEX components, pose significant health risks.
  • Accurate and simultaneous determination of multiple PHs in complex mixtures is challenging.
  • Existing methods for PH analysis can be time-consuming and labor-intensive.

Purpose of the Study:

  • To develop and validate a novel, automated methodological system for the simultaneous determination of multiple petroleum hydrocarbons (PHs) in real mixture samples using FTIR spectroscopy.
  • To address the challenges of low signal-to-noise ratio and high peak density in the IR fingerprint region (670-800 cm(-1)).
  • To provide a robust and efficient alternative for analyzing hazardous BTEX components.

Main Methods:

  • Development of an object-oriented baseline correction technique.
  • Implementation of a band decomposition (curve fitting) method with mathematical optimization.
  • Application of an Artificial Neural Network (ANN) for spectral data analysis and component determination.
  • Case study focusing on the simultaneous determination of six BTEX components in vapor samples.

Main Results:

  • Successful automated and simultaneous determination of six BTEX components in mixture vapor samples.
  • Validation of the system's robustness using real petroleum samples.
  • High accuracy in prediction results when compared with gas chromatography-mass spectrometry (GC-MS).

Conclusions:

  • The developed automated system offers a reliable and efficient method for simultaneous PH analysis.
  • The patented methodology effectively handles complex FTIR spectra in the fingerprint region.
  • This approach provides a valuable tool for environmental monitoring and risk assessment of petroleum contamination.