207
Views
1
CrossRef citations to date
0
Altmetric
Nuclear Magnetic Resonance

Determination of Water and Oil in Contaminated Coastal Sand by Low-Field Hydrogen-1 Nuclear Magnetic Resonance (1H NMR)

, , &
Pages 1496-1509 | Received 17 May 2020, Accepted 06 Aug 2020, Published online: 18 Aug 2020
 

Abstract

This study presents a low-field hydrogen-1 nuclear magnetic resonance (1H NMR) method to accurately determine water and oil in oil-contaminated coastal sand. Rapid, efficient separation of water and oil signals in the overlapping transverse relaxation (T2) spectra was achieved using a novel approach combining physical (paramagnetic ions Mn2+) and mathematical separation (deconvolution algorithm). High correlation coefficients of 0.998 and 0.982 were obtained between the prepared and NMR determined contents for water and oil together with the maximum errors of 0.84% and 0.54% for the water and oil content separately, which suggests NMR measurement of water and oil contents in oil-contaminated coastal sand is fairly accurate.

Additional information

Funding

The authors would like to thank the financial support of the National Natural Science Foundation of China (51974342), the Education Quality Improvement Project for Graduate Student of Shandong Province (SDYY17021), and the Student's Platform for Innovation and Entrepreneurship Training Program (201910425054).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 768.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.