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Related Concept Videos

Atomic Emission Spectroscopy: Overview01:20

Atomic Emission Spectroscopy: Overview

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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...
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Atomic Emission Spectroscopy: Lab01:29

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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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Voltammetry: Stripping Methods01:13

Voltammetry: Stripping Methods

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Anodic Stripping Voltammetry (ASV), Cathodic Stripping Voltammetry (CSV), and Adsorptive Stripping Voltammetry (AdSV) are electrochemical techniques used to determine trace amounts of analytes in solution. These methods involve applying a potential to an electrode and measuring the resulting current.
Anodic Stripping Voltammetry (ASV)
ASV is used to determine metals and metalloids at trace levels. It involves two steps: deposition and stripping. First, a negative potential is applied to the...
212
Atomic Emission Spectroscopy: Instrumentation01:22

Atomic Emission Spectroscopy: Instrumentation

379
The instrumentation of atomic emission spectrometry (AES) involves various components, including atomization devices that convert samples into gas-phase atoms and ions. There are two main types of atomization devices: continuous and discrete atomizers.  Continuous atomizers, like plasmas and flames, introduce samples in a constant stream, while discrete atomizers inject individual samples using syringes or autosamplers. The most common discrete atomizer is the electrothermal atomizer.
379
Atomic Absorption Spectroscopy: Lab01:21

Atomic Absorption Spectroscopy: Lab

350
For AAS measurements, samples must be introduced as clear solutions, often requiring extensive preliminary treatment to dissolve materials like soils, animal tissues, and minerals. Common methods for sample preparation include treatment with hot mineral acids, wet ashing, combustion in closed containers, high-temperature ashing, or fusion with reagents.
 Solutions containing organic solvents, such as low-molecular-mass alcohols, esters, or ketones, enhance absorbances by increasing...
350
Voltammetric Techniques: Linear-Scan (E vs Time)01:12

Voltammetric Techniques: Linear-Scan (E vs Time)

387
Polarography is a classical voltammetric technique used to analyze electrochemical reactions. This method applies a linear potential sweep to a dropping mercury electrode (DME), and the resulting current is measured. A dropping mercury electrode is commonly used as the working electrode in polarography. It consists of a capillary tube filled with mercury, where the tiny droplet forms at the tip. This droplet continuously drops from the capillary, creating a new electrode surface for each...
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Quantification of toxic metals using machine learning techniques and spark emission spectroscopy.

Seyyed Ali Davari1, Anthony S Wexler1,2,3

  • 1Air Quality Research Center (AQRC), University of California, Davis, 95616, Davis, USA.

Atmospheric Measurement Techniques
|April 10, 2024
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A new, cost-effective spark emission spectroscopy system accurately quantifies toxic metals in the air in real time. This method uses machine learning to analyze plasma emissions, offering a promising alternative to expensive traditional techniques for environmental monitoring.

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Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Spectroscopy

Background:

  • Hazardous air pollutants (HAPs) include toxic metals linked to cancer.
  • Traditional toxic metal detection methods are costly or not real-time.
  • Real-time, cost-effective atmospheric toxic metal analysis is needed.

Purpose of the Study:

  • Develop a cost-effective spark emission spectroscopy system.
  • Quantify concentrations of US EPA-targeted toxic metals (Cr, Cu, Ni, Pb).
  • Utilize machine learning for spectral data analysis.

Main Methods:

  • Spark emission spectroscopy system developed.
  • Toxic metal solutions (Cr, Cu, Ni, Pb) deposited on electrode.
  • Least Absolute Shrinkage and Selection Operator (LASSO) optimized for feature detection.
  • Regression model built using spectral features to predict metal concentrations.

Main Results:

  • The system successfully quantified toxic metal concentrations.
  • LASSO identified sensitive spectral features for analysis.
  • Limits of Detection (LODs) were estimated and compared to traditional methods.
  • For some metals, single-feature LODs marginally outperformed LASSO LODs.

Conclusions:

  • Cost-effective spark emission spectroscopy combined with LASSO is a viable method for toxic metal quantification.
  • This approach offers a data-driven solution for affordable environmental monitoring.
  • Further optimization may improve LASSO's performance for all targeted metals.