Data on Heavy metal in coastal sediments from South East Coast of Tamilnadu, India using Energy Dispersive X-ray Fluorescence (EDXRF) Technique

Abstract

This article contains the chemical and geographical data and figures for the chemical data in sediments of East Coast (Pattipulam to Dhevanampattinam) of Tamilnadu. The obtained data are related to the research article “Heavy Metal Assessment in Sediment Samples Collected From Pattipulam to Dhevanampattinam along the East Coast of Tamil Nadu Using EDXRF Technique” (Chandramohan et al., 2016) [1]. Chemical data are collected from Energy dispersive X-ray fluorescence spectrometer (EDXRF). Furthermore, the obtained chemical data describes it in more detail in the figures.

Decomposition of overlapping peaks in X‐ray fluorescence using improved crow searching algorithm based on opposite learning

“…In recent years, X‐ray fluorescence (XRF) spectroscopy has been widely used in various industries because of its fast detection speed and high accuracy 1–4 . Meanwhile, due to the increasingly serious environmental pollution problem in the soil, XRF has received more and more attention from scholars in identifying pollutants, but various heavy metals in pollutants such as overlapping peaks excited by Pb and As have caused a certain impact on XRF recognition.…”

“…In recent years, X-ray fluorescence (XRF) spectroscopy has been widely used in various industries because of its fast detection speed and high accuracy. [1][2][3][4] Meanwhile, due to the increasingly serious environmental pollution problem in the soil, XRF has received more and more attention from scholars in identifying pollutants, but various heavy metals in pollutants such as overlapping peaks excited by Pb and As have caused a certain impact on XRF recognition. Owing to the influence of the width of the element energy level and the low energy resolution of the detector, the characteristic peak is a Gauss-like spectrum peak 5 and the positions of different X-rays are compact via XRF principle, which will result in the appearance of overlapping peaks and affect the detection and analysis of substances to some extent.…”

Correction of overlapping peaks of Pb and As spectrum based on a chaotic particle swarm optimization–Gaussian mixture statistical model

“…Heavy metal pollution of soil has become a global environmental problem 1–3 ; therefore, the detection of heavy metals in soil has become a primary link for soil remediation and protection 4,5 . Energy‐dispersive X‐ray spectroscopy has been widely used owing to its advantages of fast detection speed, high accuracy, and low cost 6–8 . In the detection of heavy metals Pb and As, owing to the low energy resolution of the spectrometer detector and low fluorescence yield, overlapping peaks are generated between different spectral peaks, resulting in the peak positions of Pb and As being close to each other.…”

“…4,5 Energy-dispersive X-ray spectroscopy has been widely used owing to its advantages of fast detection speed, high accuracy, and low cost. [6][7][8] In the detection of heavy metals Pb and As, owing to the low energy resolution of the spectrometer detector and low fluorescence yield, overlapping peaks are generated between different spectral peaks, resulting in the peak positions of Pb and As being close to each other. Overlapping peaks result in large detection errors of heavy metals, preventing the accurate prediction of [Correction added on 25 January 2021, after first online publication: Peer review history statement has been added.]…”