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A real-time chemical analysis of rocks at the bottom of the deep-sea Development of a quantitative analytical method: Development of a quantitative analytical method

A real-time chemical analysis of rocks at the bottom of the deep-sea Development of a quantitative analytical method: Development of a quantitative analytical method
A real-time chemical analysis of rocks at the bottom of the deep-sea Development of a quantitative analytical method: Development of a quantitative analytical method
Long-pulse Laser-Induced Breakdown Spectroscopy (LIBS) is a promising method for an in-situ analysis of chemical compositions of rocks and sediments on the seafloor. We have developed a real-time LIBS device, “Chemicam” and have successfully performed in-situ analysis at the bottom of the deep sea using the device. In order to develop a real-time quantitative analytical method, principal component regression analysis is applied to underwater LIBS measurements. The non-linear effects of plasma temperature fluctuation on the signals are treated as systematic errors in the analysis. The effect of these errors on the analytical performance is evaluated by comparing the conventional PCR, PCR with a temperature segmented database, and calibration-free LIBS. Improvement of accuracy in the proposed PCR model indicates that non-linear systematic effects contribute to fluctuation of underwater plasmas, where temperature-based segmentation can improve the performance of PCR. The results suggest that the proposed method can be applicable to real-time automated quantitative analysis of rocks in the deep sea.
Japan Society of Mechanical Engineers
Takahashi, Tomoko
937057f6-8e83-4a7f-b11f-b549c94afdf6
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9
Sato, Takumi
2a177bf0-bfcd-404c-9a63-0dfb7c798a02
Ohki, Toshihiko
fd374af3-c5dc-46ba-9e63-295fa2ec225d
Ohki, Koichi
9ab2be8f-8868-431e-b15f-92ada71fa9eb
Sakka, Tetsuo
0b65b678-002f-4a00-933b-ffc0a974f46a
Takahashi, Tomoko
937057f6-8e83-4a7f-b11f-b549c94afdf6
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9
Sato, Takumi
2a177bf0-bfcd-404c-9a63-0dfb7c798a02
Ohki, Toshihiko
fd374af3-c5dc-46ba-9e63-295fa2ec225d
Ohki, Koichi
9ab2be8f-8868-431e-b15f-92ada71fa9eb
Sakka, Tetsuo
0b65b678-002f-4a00-933b-ffc0a974f46a

Takahashi, Tomoko, Thornton, Blair, Sato, Takumi, Ohki, Toshihiko, Ohki, Koichi and Sakka, Tetsuo (2017) A real-time chemical analysis of rocks at the bottom of the deep-sea Development of a quantitative analytical method: Development of a quantitative analytical method. In The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). Japan Society of Mechanical Engineers.. (doi:10.1299/jsmermd.2016.1A2-16b2).

Record type: Conference or Workshop Item (Paper)

Abstract

Long-pulse Laser-Induced Breakdown Spectroscopy (LIBS) is a promising method for an in-situ analysis of chemical compositions of rocks and sediments on the seafloor. We have developed a real-time LIBS device, “Chemicam” and have successfully performed in-situ analysis at the bottom of the deep sea using the device. In order to develop a real-time quantitative analytical method, principal component regression analysis is applied to underwater LIBS measurements. The non-linear effects of plasma temperature fluctuation on the signals are treated as systematic errors in the analysis. The effect of these errors on the analytical performance is evaluated by comparing the conventional PCR, PCR with a temperature segmented database, and calibration-free LIBS. Improvement of accuracy in the proposed PCR model indicates that non-linear systematic effects contribute to fluctuation of underwater plasmas, where temperature-based segmentation can improve the performance of PCR. The results suggest that the proposed method can be applicable to real-time automated quantitative analysis of rocks in the deep sea.

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More information

e-pub ahead of print date: 19 June 2017
Venue - Dates: The Robotics and Mechatronics Conference 2016, Yokohama, Japan, 2016-06-08 - 2016-06-11

Identifiers

Local EPrints ID: 415772
URI: http://eprints.soton.ac.uk/id/eprint/415772
PURE UUID: d58299cd-2afa-4108-9144-750b6f83b202

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Date deposited: 23 Nov 2017 17:30
Last modified: 13 Mar 2019 19:13

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