Journal
JOURNAL OF RAMAN SPECTROSCOPY
Volume 51, Issue 11, Pages 2328-2337Publisher
WILEY
DOI: 10.1002/jrs.5981
Keywords
dissolved CH4; hydrothermal vent fluid; in situ; quantitative analysis; Raman spectroscopy
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Funding
- National Natural Science Foundation of China [41822604, 41576104]
- Strategic Priority Research Program, CAS [XDA22050102]
- National Key R&D Program of China [2016YFC0302103]
- Key Research Program of Frontier Sciences, CAS [QYZDB-SSW-DQC004]
- NSFC-Shandong Joint Fund for Marine Science Research Centers [U1606401]
- Young Taishan Scholars Program [tsqn201909158]
- Laboratory for Marine Geology, Qingdao Pilot National Laboratory for Marine Science and Technology [MGQNLM-TD201904]
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Raman spectroscopy is an ideal approach for measuring methane concentrations in deep-sea high-temperature hydrothermal vent fluids due to its advantages of being nondestructive and noninvasive and not requiring sample pretreatment. However, no application of Raman spectroscopy in the measurement of hydrothermal methane has yet been reported because of the lack of Raman quantitative calibration models for CH(4)suitable for hydrothermal fluid detection and available for deep-sea in situ Raman experiments. In this study, a new Raman quantitative calibration model suitable for hydrothermal fluid detection was established with the linear equationACH4/AH2O= (2.61E-3 +/- 8.52E-6) xCCH4, whereACH4/AH2Ois the peak area ratio of CH(4)and H2O andCCH4is the concentration of dissolved CH(4)in mmol/kg. In situ Raman spectra of deep-sea hydrothermal fluids were acquired using an adapted deep-sea in situ Raman spectrometer, Raman insertion probe (RiP) system, and then the methane concentrations were determined based on the quantitative calibration model for CH4. The concentrations of methane measured by RiP are approximately 1.5-4.0 times higher than those derived from the gas-tight samples collected simultaneously at the same vents, which indicates that the amount of methane released from the hydrothermal system has probably been underestimated.
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