URLhttps://www.bco-dmo.org/dataset/805216
Download URLhttps://www.bco-dmo.org/dataset/805216/data/download
Media Type text/tab-separated-values
Created March 2, 2020
Modified July 2, 2020
State Final no updates expected

Processing Description

Data were processed in Excel.

BCO-DMO Data Manager Processing Notes:
* Data from originally submitted Excel file Data_TP+metals_sediments with no pretreatment_v2.xlsx in sheets "NMR extract" and "Residue" were exported as csv.
* Column "Type" added with values "NMR extract" or "Residue", then the data form the two sheets were combined into one table.
* added a conventional header with dataset name, PI name, version date
* modified parameter names to conform with BCO-DMO naming conventions
* blank values in this dataset are displayed as "nd" for "no data." nd is the default missing data identifier in the BCO-DMO system.

Instruments

QuikChem 8000 automated ion analyzer [Flow Injection Analyzer]
Details
An instrument that performs flow injection analysis. Flow injection analysis (FIA) is an approach to chemical analysis that is accomplished by injecting a plug of sample into a flowing carrier stream. FIA is an automated method in which a sample is injected into a continuous flow of a carrier solution that mixes with other continuously flowing solutions before reaching a detector. Precision is dramatically increased when FIA is used instead of manual injections and as a result very specific FIA systems have been developed for a wide array of analytical techniques.

Parameters

Details
Type
Type (NMR extract or Residue)
text description of sample collected
Extract [sample_descrip]
Details
Extract
Extraction solution
text description of sample collected
Dilution [treatment]
Details
Dilution
Sample dilution or "None"

Experimental conditions applied to experimental units.  In comparative experiments, members of the complementary group, the control group, receive either no treatment or a standard treatment.

Sample_ID [sample]
Details
Sample_ID
Unique sample identifier

unique sample identification or number; any combination of alpha numeric characters; precise definition is file dependent

Analyte_Name [sample_descrip]
Details
Analyte_Name
Element analyzed
text description of sample collected
Int_Corr [unknown]
Details
Int_Corr
Intensity (corrected)
association with a community-wide standard parameter is not yet defined
RSD_Corr_Int [standard deviation]
Details
RSD_Corr_Int
Relative standard deviation
Generic standard deviation value, taking on the units of the parameter that it is tied to.
Conc_Calib [P]
Details
Conc_Calib

Calibrated concentration of total phosphorous

P (Phosphorus). May be reported in parts per million, nanomoles per liter, or other units. Refer to dataset metadata for units.

Dataset Maintainers

NameAffiliationContact
Adina PaytanUniversity of California-Santa Cruz (UC Santa Cruz)
Delphine DefforeyUniversity of California-Santa Cruz (UC Santa Cruz)
Amber YorkWoods Hole Oceanographic Institution (WHOI BCO-DMO)

BCO-DMO Project Info

Project Title A new marine sediment sample preparation scheme for solution 31P NMR analysis
Acronym Marine Sediment Analysis 31P NMR
URLhttps://www.bco-dmo.org/project/664054
Created November 7, 2016
Modified February 27, 2020
Project Description

We developed and tested a new approach to prepare marine sediment samples for solution 31P nuclear magnetic resonance spectroscopy (31P NMR). This approach addresses the effects of sample pretreatment on sedimentary P composition and increases the signal of low abundance P species in 31P NMR spectra by removing up the majority inorganic P  from sediment samples while causing minimal alteration of the chemical structure of organic P compounds. The method was tested on natural marine sediment samples from different localities (Equatorial Pacific, California Margin and Arctic Ocean) with high inorganic P content, and allowed for the detection of low abundance P forms in samples for which only an orthophosphate signal could be resolved with an NaOH-EDTA extraction alone. This new approach will allow the use of 31P NMR on samples for which low organic P concentrations previously hindered the use of this tool, and will help answer longstanding question regarding the fate of organic P in marine sediments. We developed and tested a new approach to prepare marine sediment samples for solution 31P nuclear magnetic resonance spectroscopy (31P NMR). This approach addresses the effects of sample pretreatment on sedimentary P composition and increases the signal of low abundance P species in 31P NMR spectra by removing up the majority inorganic P  from sediment samples while causing minimal alteration of the chemical structure of organic P compounds. The method was tested on natural marine sediment samples from different localities (Equatorial Pacific, California Margin and Arctic Ocean) with high inorganic P content, and allowed for the detection of low abundance P forms in samples for which only an orthophosphate signal could be resolved with an NaOH-EDTA extraction alone. This new approach will allow the use of 31P NMR on samples for which low organic P concentrations previously hindered the use of this tool, and will help answer longstanding question regarding the fate of organic P in marine sediments. 

NSF C-DEBI Award #156246 to Dr. Adina Paytan

NSF C-DEBI Award #157598 to Dr. Delphine Defforey 

Data Project Maintainers
NameAffiliationRole
Adina PaytanUniversity of California-Santa Cruz (UC Santa Cruz)Principal Investigator
Delphine DefforeyUniversity of California-Santa Cruz (UC Santa Cruz)Co-Principal Investigator
Barbara J. Cade-MenunAgriculture and Agri-Food Canada (AGR GC)Co-Principal Investigator
Menu