Dr. Xiaoning Luan Profile

Dr. Xiaoning Luan

at Ocean Univ of China

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Publications (2)

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Proceedings Article | 2 December 2020 Paper

Preliminary study on the polarization characteristics of volume scattering from planktonic algae

Xiaolong Li, Xiaoning Luan, Jinjia Guo

Proceedings Volume 11717, 117173K (2020) https://doi.org/10.1117/12.2587666

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Traditional measurement methods of volume scattering from algae particles can obtain the angular distribution of the scattered light intensity and retrieve the size information of the algae, but cannot be used to analyze the morphological parameters of planktonic algae. Measurement of polarized volume scattering can obtain the influence of the algae particle shape on its volume scattering Muller matrix. To evaluate the effect of morphological parameters on polarization scattering characteristics of planktonic algae particles, a preliminary experimental study was done with the polarization scattering theory of particles in water. The experiment took Isochrysis galbana as the sample and used a linearly polarized laser of 532 nm to irradiated pure sea water and the seawater solution of Isochrysis galbana. To obtain the scattering phase function of the samples under parallel and perpendicular polarization, an optical experiment platform consisting of a polarization state generator (PSG), a sample compartment and a polarization receiving compartment was used to measure the volume scattering of samples. The result shows that, compared with the measurement of pure seawater, the intensity of the parallelpolarized volume scattering from the seawater solution of Isochrysis galbana was significantly increased. Particularly, for backscattering at 120°, the parallel-polarized backscattering of the seawater with algae particles was enhanced. Combined with T-matrix method, a simulation of the polarized volume scattering of Isochrysis galbana was carried out with an approximation of morphological particles and to further verify the influence of the morphological parameters of planktonic algae on its polarization scattering function.

Proceedings Article | 24 October 2017 Paper

A new approach of oil spill detection with time-resolved LIF polarization spectrum combined with principle component analysis

Xiaoning Luan, Feng Zhang, Jinjia Guo, Tingwei Cui, Ronger Zheng

Proceedings Volume 10461, 104610U (2017) https://doi.org/10.1117/12.2284371

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In order to promote the classification ability of the traditional time-resolved LIF technique to achieve oil spill detection, a novel LIF polarization experimental setup was developed in the laboratory with the ability to obtain time-resolved LIF spectra of both the Co-polarized and Cross-polarized components simultaneously under linearly excitation. With it, a series of oil spills investigation were performed with six crude oil samples, which were carefully selected to ensure each two of them are derived from adjacent wells located within the same well block. After recording of a complete series of time-resolved LIF spectral data, the polarization direction of the excitation was rotated by 90 degrees to proceed with acquisition of another series of data. And with these two sets of data, LIF spectra of the two orthogonal polarization components were calibrated to guarantee the accuracy of the polarization detection. Spectral data of the two orthogonal polarization components were processed with the newly proposed intensity-normalized method and combined to form the data array, based on which clustering and classification results were obtained via the approach of PCA. It was showed that no matter within the three-dimensional space nor the two-dimensional plane composed of the principal components, ideal clustering results can be obtained from similar crude oil samples based on time-resolved LIF polarization technique, even though their locations of fluorescence peak intensities were quite close. Compared with the classification results achieved with the traditional time-resolved LIF technique based on the same data set, it can be concluded that with the auxiliary help of the distinct LIF polarization characteristics of different oil, the classification ability of time-resolved LIF technique is significantly improved.

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