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Related Concept Videos

¹H NMR Signal Integration: Overview00:58

¹H NMR Signal Integration: Overview

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...
NMR Spectroscopy of Benzene Derivatives01:37

NMR Spectroscopy of Benzene Derivatives

Simple unsubstituted benzene has six aromatic protons, all chemically equivalent. Therefore, benzene exhibits only a singlet peak at δ 7.3 ppm in the 1H NMR spectrum. The observed shift is far downfield because the aromatic ring current strongly deshields the protons. Any substitution on the benzene ring makes the aromatic protons nonequivalent, and the protons split each other. The peak is, therefore, no longer a singlet and the splitting pattern and their associated coupling constants depend...
Atomic Emission Spectroscopy: Overview01:20

Atomic Emission Spectroscopy: Overview

Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
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...

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Related Experiment Video

Updated: Jul 7, 2026

Real-time Breath Analysis by Using Secondary Nanoelectrospray Ionization Coupled to High Resolution Mass Spectrometry
08:23

Real-time Breath Analysis by Using Secondary Nanoelectrospray Ionization Coupled to High Resolution Mass Spectrometry

Published on: March 9, 2018

Revealing source signatures in ambient BTEX concentrations.

Amir Zalel1, Yuval, David M Broday

  • 1Environmental, Water and Agricultural Engineering Department, Faculty of Civil and Environmental Engineering, Israel Institute of Technology, Technion, Haifa 32000, Israel.

Environmental Pollution (Barking, Essex : 1987)
|February 22, 2008
PubMed
Summary

This study introduces a new method to identify sources of Volatile Organic Compounds (VOCs) in urban areas. It uses seasonal and diurnal variations in Benzene, Toluene, Ethylbenzene, and Xylenes (BTEX) to distinguish between traffic and non-traffic sources.

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Related Experiment Videos

Last Updated: Jul 7, 2026

Real-time Breath Analysis by Using Secondary Nanoelectrospray Ionization Coupled to High Resolution Mass Spectrometry
08:23

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Published on: March 9, 2018

Capturing Actively Produced Microbial Volatile Organic Compounds from Human-Associated Samples with Vacuum-Assisted Sorbent Extraction
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Capturing Actively Produced Microbial Volatile Organic Compounds from Human-Associated Samples with Vacuum-Assisted Sorbent Extraction

Published on: June 1, 2022

Area of Science:

  • Environmental Science
  • Atmospheric Chemistry
  • Air Quality Management

Background:

  • Urban ozone formation is often VOC-limited, making Volatile Organic Compound (VOC) management crucial.
  • Decreasing traffic emissions have led to comparable contributions from traffic and non-traffic VOC sources in urban areas.
  • Accurate source apportionment of ambient VOCs is vital for effective urban air quality management.

Purpose of the Study:

  • To develop and present an approach for identifying sources of Benzene, Toluene, Ethylbenzene, and Xylenes (BTEX) in areas with low concentrations.
  • To address limitations of traditional source apportionment techniques in low-concentration environments.
  • To differentiate contributions from traffic and evaporative sources to ambient BTEX levels.

Main Methods:

  • Analysis of seasonal and diurnal variations in ambient BTEX concentrations.
  • Utilizing two monitoring stations in distinct urban areas.
  • Leveraging differential oxidation rates of airborne BTEX compounds for source attribution.

Main Results:

  • The study demonstrates the feasibility of identifying source categories based on temporal BTEX variations.
  • Distinct seasonal and diurnal patterns were observed, indicative of different emission sources.
  • Varying oxidation rates effectively allocated BTEX contributions to specific source types.

Conclusions:

  • The proposed approach successfully aids in identifying sources contributing to ambient BTEX concentrations, even at low levels.
  • Temporal variations and oxidation rates are valuable indicators for source apportionment in urban airsheds.
  • This method enhances the ability to manage urban air quality by pinpointing specific VOC emission sources.