Estimation of crude oil grade using time-resolved fluorescence spectra

Hegazi, E.; Hamdan, A.

doi:10.1016/s0039-9140(01)00589-6

Cited by 24 publications

(16 citation statements)

References 2 publications

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“…In order to overcome these shortcomings, LIF with ultraviolet (UV) light as the excitation light source has been proposed as a method by which to study the fluorescence characteristics of vegetation (13,14). In addition, studies have highlighted the heterogeneity of the fluorescence spectra and the fluorescence decay rule (20)(21)(22). Chappelle et al (15) analyzed differences among monocots, dicots and hardwoods based on the characteristics of the vegetation fluorescence peak.…”

Section: Introductionmentioning

confidence: 99%

The application of time decay characteristics of laser‐induced fluorescence in the classification of vegetation

et al. 2016

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In this study, the time decay of the chlorophyll fluorescence intensity (TDCFI) of vegetation was measured based on laser-induced fluorescence (LIF) technology with a 355 nm laser serving as the excitation light source. The pseudo-color diagram of the TDCFI (PDTDCFIs) was proposed for use as a characteristic fingerprint for the analysis of various plant species based on variations in the fluorescence intensity over time. Compared with the steady-state fluorescence spectra, two-dimensional PDTDCFIs contained more spectral information, including variations in both the shape of the laser-induced fluorescence spectra and the relative intensity. The experimental results demonstrated that the PDTDCFIs of various plant species show distinct differences, and this was successfully applied in the classification of plant species. Therefore, the PDTDCFIs of plants could provide researchers with a more reliable and useful tool for the characterization of vegetation. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

The application of time decay characteristics of laser‐induced fluorescence in the classification of vegetation

et al. 2016

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“…In the early age, the use of a LIF instrument alone or combined with other optical measurement tools were applied to direct monitoring of gaseous pollutants, such as CO 2 , NO, NO 2 , N 2 O 5 , SO 2 , aerosol particle and aromatic hydrocarbons (Bessler et al, 2003;Miyazaki et al, 2008; Suzuki et al Matsumoto et al, 2005;Matsumi et al, 2005;Taketani et al, 2013;Sirignano et al, 2012). The successful application of LIF spectroscopy has expanded to the detection of chemicals in water, soil organic matter, solid organic waste, crude oil and soil contaminants (Uebel et al, 1996;Martins et al, 2011;Muller et al, 2011;Hegazi et al, 2005;Lemke et al, 2005). Based on fluorescence properties of aromatic hydrocarbons, LIF is considered as a non-destructive and fast detection tool of PAHs even at very low concentrations.…”

Section: Introductionmentioning

confidence: 99%

Fluorescence Characteristic Spectra of Domestic Fuel Products through Laser Induced Fluorescence Detection

Wu¹,

Chang²,

Tsai³

et al. 2014

Journal of Soil and Groundwater Environment

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Traditional investigation procedures of soil and groundwater contamination are followed by soil gas sampling, soil sampling, groundwater sampling, establishment of monitoring wells, and groundwater monitoring. It often takes several weeks to obtain the analysis reports, and sometimes, it needs supplemental sampling and analysis to delineate the polluted area. Laser induced fluorescence (LIF) system is designed for the detection of free-phase petroleum pollutants, and it is suitable for onsite real-time site investigation when coupling with a direct push testing tool. Petroleum products always contain polycyclic aromatic hydrocarbon (PAH) compounds possessing fluorescence characteristics that make them detectable through LIF detection. In this study, LIF spectroscopy of 5 major fuel products was conducted to establish the databank of LIF fluorescence characteristic spectra, including gasoline, diesel, jet fuel, marine fuel and low-sulfur fuel. Multivariate statistical tools were also applied to distinguish LIF fluorescence characteristic spectra among the mixtures of selected fuel products. This study successfully demonstrated the feasibility of identifying fuel species based on LIF characteristic fluorescence spectra, also LIF seemed to be uncovered its powerful ability of tracing underground petroleum leakages.

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“…Few attempts of detecting remotely a high resolution complete time-wavelength map of the emitted oil fluorescence are present in literature. Hegazi et al [9] made use of a 10-Hz, 170-mJ, nanosecond pulsed tripled Nd:YAG laser as excitation source, while for the signal detection they used a monochromator and a photomultiplier with a gated integrator. In this case the acquisition of the signal was sequentially performed in the temporal domain while the monochromator selected the desired spectral range.…”

Section: Introductionmentioning

confidence: 99%

Fluorescence LIDAR remote sensing of oils: merging spectral and time-decay measurements

Palombi

Lognoli

Raimondi

2013

Remote Sensing for Agriculture, Ecosystems, and Hydrology XV

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In this paper we present hyperspectral and time resolved laser induced fluorescence spectra of oil slicks remotely sensed by means of a new fluorescence LIDAR prototype. The sensor provides both sub-nanometric spectral resolution and sub-nanosecond time resolution. The fluorescence induction is achieved by means of a frequency-tripled pulsed Nd:YAG laser @355 nm. The light is collect by a 250-mm diameter telescope and the fluorescence spectra are measured by a spectrometer and a 512-spectral channels gateable intensified CCD camera. The temporal resolution is achieved by sequentially delaying the gating time to obtain fluorescence data, which are resolved both in the spectral and temporal domains. Measurements were performed in the lab on three artificial 100-µm thick oil films at a distance of 10 m. The oils were a crude oil and two different types of diesel fuel.

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Estimation of crude oil grade using time-resolved fluorescence spectra

Cited by 24 publications

References 2 publications

The application of time decay characteristics of laser‐induced fluorescence in the classification of vegetation

The application of time decay characteristics of laser‐induced fluorescence in the classification of vegetation

Fluorescence Characteristic Spectra of Domestic Fuel Products through Laser Induced Fluorescence Detection

Fluorescence LIDAR remote sensing of oils: merging spectral and time-decay measurements

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