A Comprehensive Review on the Excitation-Emission Matrix Fluorescence Spectroscopic Characterization of Petroleum-Containing Substances: Principles, Methods, and Applications

Geng, Tao; Yan, Wanglin; Yin, Xingtian; Chen, Wu; Gu, Hui‐Wen

doi:10.1080/10408347.2023.2205500

Cited by 9 publications

(2 citation statements)

References 159 publications

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“…In a broad sense, fluorescence quenching refers to any effect that reduces the quantum yield of fluorescence. 20 The interaction between different PAH compounds is strong, and there is a nonlinear summation caused by fluorescence quenching, resulting in different quenching concentrations of each component and wide differences in the range of influence. 21 Spatial isolation and electronic isolation prevent quenching and allow the molecule to recover fluorescence.…”

Section: Introductionmentioning

confidence: 99%

Mineral oil emulsion species and concentration prediction using multi-output neural network based on fluorescence spectra in the solar-blind UV band

Gong,

Mao,

et al. 2024

Anal. Methods

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Section: Introductionmentioning

confidence: 99%

Mineral oil emulsion species and concentration prediction using multi-output neural network based on fluorescence spectra in the solar-blind UV band

Gong,

Mao,

et al. 2024

Anal. Methods

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“…Crude oil and most liquid products of its refinery processing contain substances that penetrate into the water and diffuse in it. Detection of oil under the sea surface is much more difficult, and in that case, remote sensing methods such as advanced laser fluorometry (ALF), laser-induced fluorescence (LIF) or UV-induced fluorescence [26][27][28][29] and various in situ methods [30][31][32] are used. Moreover, various types of underwater sensors based on the ability to detect the fluorescence of excited oil components in the UV range [14,[33][34][35] are also used.…”

Section: Introductionmentioning

confidence: 99%

Year-Round Testing of Coastal Waters of the Gulf of Gdańsk in the Baltic Sea for Detecting Oil in a Seawater Column Using the Fluorescence Method

Baszanowska

Otremba

2023

Sustainability

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Progressive climate changes and the increase in the occurrence of extreme weather phenomena indicate the need to take action to mitigate the negative effects of climate change. One of the main factors affecting climate change is the state of waters that transport heat. Oil pollution present in the water contributes to the absorption of radiation and physico-chemical changes in the sea, which has an impact on the marine ecosystem. This indicates the need to develop methods for effective oil spill detection. This study aimed to improve the methods of early detection of threats related to oil spills in the marine environment, especially when the source of oil may be invisible in the depths of the sea. Therefore, the method based on the fluorometric index is proposed, and its effectiveness for oil detection in seawater is studied. The study has answered the question of how biological activity during a whole year influences the effectiveness of oil detection by the proposed fluorometric index method. Therefore, for the calculation of the fluorometric index, the changes in the seawater fluorescence spectrum in the ultraviolet range were determined, which occurred under the influence of diffusion of some oil components in the sea. The principle of detection of oil contaminants based on the excitation-emission fluorescence spectrum is described. For the measurements, natural seawater samples used in the laboratory were exposed to a mixture of crude oil and oils commonly found in navigation. The effectiveness of oil substance detection using the fluorometric index in the biologically productive and unproductive seasons was analyzed for seawater in the vicinity of Gdynia and Gdansk ports in Poland in northern Europe. The results of excitation-emission spectra and fluorometric index indicate that the changes in the biological activity during the year do not affect the detectability of oil present in seawater for the considered oil-to-water ratio. Summarize the sensitivity analysis of the method indicates the possibility of detection of oil contamination regardless of the season. The obtained results pave the way for the construction of an underwater device to detect oil in the vicinity of such a detector.

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Characterization and recognition of three-dimensional excitation-emission matrix spectra of wastewater from six typical categories

Kuang,

Liu,

Jin

et al. 2024

Journal of Environmental Sciences

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A Comprehensive Review on the Excitation-Emission Matrix Fluorescence Spectroscopic Characterization of Petroleum-Containing Substances: Principles, Methods, and Applications

Cited by 9 publications

References 159 publications

Mineral oil emulsion species and concentration prediction using multi-output neural network based on fluorescence spectra in the solar-blind UV band

Mineral oil emulsion species and concentration prediction using multi-output neural network based on fluorescence spectra in the solar-blind UV band

Year-Round Testing of Coastal Waters of the Gulf of Gdańsk in the Baltic Sea for Detecting Oil in a Seawater Column Using the Fluorescence Method

Characterization and recognition of three-dimensional excitation-emission matrix spectra of wastewater from six typical categories

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