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...

Once the empty cell has been measured the specified number of times, the unit will prompt the user to add the standard(s) to the cell; the "SPHERE_10" standards are found in the wooden box shown in Figure 23. Open the pycnometer cell and place the standard ball(s) into the cell, then close securely. Clicking "Done" will trigger the above analytical steps, including purges, for the standard ball(s). After the replicate measurements on the steel ball(s) are done, the system will prompt the user to remove the standards from the cell. Pressing done at this point shows the expansion (red circle) and analytical cell (black circle) volumes determined by the calibration experiment as shown in Figure 24.

Figure 23. Six sets of steel balls are kept in this box along with the wire tool to extract them from the cells. Do not touch the spheres with bare fingers! Fingerprints don't significantly affect the volume measurement, but will cause the spheres to begin corroding. Wipe them thoroughly off with a Kim-Wipe if it is necessary to do so.



Figure 23. Final calibration screen for the pycnometer cell.


Click the "Accept" button (blue circle) to complete the calibration process for this cell. Once a cell's calibration is completed the pycnometer measurement on unknowns can be started independently of the other cells undergoing calibration.


Frequency of Calibration/Calibration Check Standards

The pycnometer has proven to be quite stable, so the standard practice is to calibrate the instrument at the beginning of an expedition. To ensure quality, each set of five samples should be accompanied by a standard rotated through the cells. So long as the standards continue to give an acceptable value (less than 0.5% deviation), recalibration is not necessary (NOTE: As of X375 the recommendation is to Calibrate the beginning of each shift, and then +/- 0.5% deviation).
Rotation of the check standards through the cells is important, however, to ensure on a continuing basis that the system is still stable and functioning properly. An example measurement plan is given here:

...

After calibration is complete, the user can begin analyzing samples and one standard per six runs as noted above. Double-click on the Volume Dry (cm3) portion of the main screen next to the sample to be studied; normally the SPHERE_10 standards are also listed for the one cell in six to be dedicated for a standard measurement. A window will appear as shown in Figure 24 prompting the user to select a cell and to set the number of replicates. It is recommended to use the same number of replicates as the calibration.



Figure 24. Pycnometer measurement window.

Ensure that the sample is correct and select the cell to be used and the number of replicate measurements to be performed.
Once the user has selected the cell and number of cycles, click the "Measure" button, which will open the pycnometer cell control window (Figure 25). Place the sample in the cell, seal it, and then click "Done" followed by clicking the "Start" button (circled in blue). Unlike the calibration measurement, the experiment will not start until the "Start" button is clicked.

Figure 25. Starting a pycnometer measurement on a sample.


The pycnometer will step through the same purge and measurement steps described in the calibration section and when it is finished, will show the screen shown in Figure 26.

Figure 26. Sample completed indicator for pycnometer.


Once the "Done" button is clicked, the volume of the sample (including the volume of the container) will appear in the "Calculated Volume" window. At this point, the user may select "Rerun," which will redo the measurement, "Cancel" to reject the measurement, or "Accept" to keep the data and transfer it to the main screen.

...

The result should be in the appropriate field, but in case the user double-clicked the wrong volume measurement, MADMax provides the capability to switch the volume measurement from "wet" to "dry" and vice-versa. As shown in Figure 27, right-click the mass cell and select the "Send this result to the Volume Wet (cm3)" option. If two volumes are already present, this option will instead state "Swap Volume Wet (cm3) to Volume Dry (cm3)."

Figure 27. Right-click options for the volume measurement.


Once the user clicks the "Swap" options, a window will pop up to confirm the action, similar to that for the swap mass measurements window.

...

If the user wishes, they can also look at a detail of the mass results as shown in Figure 28. This is a summary of all of the parameters used to determine the volume with the parameters labeled by their database names.

Figure 28. Review dry volume results window.


The volume_dry component is the volume of the sample. The volume_dry_container component is the volume of the sample and the container together. The pyc_stdev value is calculated from the individual measurements (in this case, three) done by the pycnometer.

...

Volume determination by caliper is best used on consolidated, high-porosity samples (e.g., coral or vesicular basalt) as part of Method D. It is not likely to give accurate results when used on soft sediments (Method A).
Double-click on the "Caliper Volume (cm3)" column in the field adjacent to the sample to be analyzed. This will invoke the caliper measurement window as shown in Figure 29. The user should select cube or cylinder depending on the sample to be measured with the precision caliper.

Figure 29. Caliper measurement entry screens.


Ensure that the sample being measured is the correct one and click either the "Cube" or "Cylinder" radio button. Make the measurements using the precision caliper (Figure 30). Enter the measurements for each dimension in centimeters. Once the measurements have been entered, click "Ok" and the result will be transferred to the main screen.

Figure 30. Digital caliper used for volume measurements.


Review Results

Right-clicking the caliper result will allow the user to select "Review Results" to see details of the measurement.

...

The MADMax software will calculate all of the other MAD parameters once any three of four measurements are completed: wet mass, dry mass, dry volume, and wet volume. Once the three measurements related to the chosen method (e.g., Method C: wet mass, dry mass, dry volume) are completed, double-click on the "Methods Completed" field on the line of the sample in question. This will invoke the MAD calculation window as shown in Figure 31.

Figure 31. Run MAD Calc window. Ensure the proper sample is shown.


Click on the "Run MAD Calc" button and after a brief pause, the calculated parameters for the MAD analysis will appear on the main screen for that specific sample and will be updated in the LIMS database at the same time. See the "MAD Computations" section below for more information about the various parameters determined by the software.

...

After the MAD calculation is run, the user may wish to clean up the main screen list of samples. This is done by clicking in the "Done" boxes as shown in Figure 32. Once the samples to be removed are checked, click the "Refresh Sample List" button and the checked samples will disappear. (Any new samples will also appear.)
Note: Until this step is completed, two (and rarely three) lines will appear in the LIMS reports. Once this step is completed, the extra lines will be canceled.

Figure 32. Using the "Done" check boxes to clean up completed samples.


Quality Assurance/Quality Control

...

The user is encouraged to treat each group of five samples as an analytical batch and to carry a QC sample through the pycnometer process as the "sixth" sample. Thus, each pycnometer batch will consist of five samples and one calibration verification sample.
For the balance and caliper, the accuracy and precision of the equipment can easily be determined by measuring standards and confirming the system is giving proper numbers.

Precision and Accuracy

Each science party must define what error is acceptable for measurements, but the JRSO has some guidelines as to what can be expected.

Balance

For repeated mass measurements, we expect the data to be reproducible within 0.005 g; this will be significantly higher if the sea state is rough, the weights on the two balance pans are not roughly equal, or the number of measurements is too low. In other words, if the masses on the reference and unknown balances are within 5 grams of one another and the number of measurements is sufficient for the sea state, then we expect measurement of a reference mass to be within 0.005 grams.


Pycnometer

On dry samples or the steel ball bearings when the sample container is nearly full, we expect 1% or better precision between measurements. Reproducibility will go down severely if the sample container is not filled, and even more so if wet samples are measured. Accuracy is expected within 1% of the indicated volume if conditions are correct (dry sample, container nearly full).


Caliper

The precision caliper is capable of measurements accurate to 0.01 mm ± 0.01 mm. However, the source of error in this measurement is largely from the quality of the sample being measured. If the rectangular prism's sides are not end parallel to one another, or if the cylinder is not a right cylinder, the error can be significant.

...

The Wheaton vials are borosilicate glass and somewhat resistant to breakage. If a vial breaks, the broken glass should be gathered up immediately and placed in a sharps container. Please see a technician or the ALO if this occurs for proper disposal instructions. Do NOT place sharp trash in the regular trash bins!

Pollution Prevention

The MAD method does not generate any hazardous waste.
Remaining samples are used for further analyses after oven-drying and volume determination.

...

MAD computations are performed when triggered by the user as described above in "MAD Calculations." Each time computation is triggered, the program will recalculate the results and update the database. (This may be necessary, for example, if the wet and dry mass measurements were switched.) The computations are performed for each completed submethod using the following formulas.

  Wet Mass: Submethods A,  

Formula or Condition

Action

LIMS
Analysis

Formula with LIMS Components

Constants Used in Computations

 

 

 

get

MAD

density_water = 1 (g/

cm3

cm3)

 

get

MAD

density_porewater = 1.024 (g/

cm3

cm3)

 

get

MAD

density_salt = 2.22 (g/

cm3

cm3)

 

get

MAD

salinity = 35

 

get

MAD

mass_ratio = 0.965

 

get

MAD

volume_ratio = 0.988

Get Container Information: Submethods A, B, C, D

 

 

 

 

get

CONTAINER

container_number

 

get

CONTAINER

material_type

 

get

CONTAINER

mass

 

get

CONTAINER

density

 

get

CONTAINER

volume

Geometric Volume: Submethods A, D

 

 

 

select

CALIPER

container_number

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="fa27def3-2df1-4fbb-ae8f-96e2f105638c"><ac:plain-text-body><![CDATA[

 

set

CALIPER

geometry = [cylinder; rectangular prism]

]]></ac:plain-text-body></ac:structured-macro>

measure

 

measure

CALIPER

length

 

measure

CALIPER

width

 

measure

CALIPER

height

 

measure

CALIPER

diameter

geometry =

"rectangular prism"

“rectangular prism”

calculate

CALIPER

volume = length * width * height

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="2573e7d2-f2c7-460b-9464-812a1637d539"><ac:plain-text-body><![CDATA[

geometry = "cylinder"

geometry = “cylinder”

calculate

CALIPER

volume = [diameter/2]2 *

¿

p * dimension_c_height

]]></ac:plain-text-body></ac:structured-macro>

Wet Mass: Submethods A, B, C

 

 

 

select

MAD-MASS

container_number

 

measure

MAD-MASS

mass_wet_container

 

calculate

MAD-MASS

mass_wet = mass_wet_container – mass{CONTAINER}

Dry Mass: Submethods A, B, C, D

 

 

 

 

select

MAD-MASS

container_number

 

measure

MAD-MASS

mass_dry_container

 

calculate

MAD-MASS

mass_dry = mass_dry_container – mass{CONTAINER}

 

   

Formula or Condition

Action

LIMS
Analysis

Formula with LIMS Components

Pycnometry Wet Volume: Submethod B

 

 

 

select

PYC

container_number

 

select

PYC

cell_number

 

measure

PYC

volume_wet_container

 

calculate

PYC

volume_wet = volume_wet_container – volume{CONTAINER}

 

count

PYC

number_measurements

 

calculate

PYC

pyc_stdev

 

measure

PYC

temperature

 

enter

PYC

comment

Pycnometry Dry Volume: Submethods C and D

 

 

 

 

select

PYC

container_number

 

select

PYC

cell_number

 

measure

PYC

volume_dry_container

 

calculate

PYC

volume_dry = volume_dry_container – volume{CONTAINER}

 

count

PYC

number_measurements

 

calculate

PYC

pyc_stdev

 

measure

PYC

temperature

 

enter

PYC

comment

Intermediary Computations: Submethod A

 

 

 

set

MAD

method =

"A" 

“A”

get

MAD

volume_wet = volume{CALIPER}

 

get

MAD

mass_wet = mass_wet{MAD_MASS}

 

get

MAD

mass_dry = mass_dry{MAD_MASS}

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="2af80e1c-a3e2-44cd-86bc-c9570759a4dc"><ac:plain-text-body><![CDATA[

Mpw = (

Mpw = (Mt – Md)/rm

calculate

MAD

mass_porewater = [mass_wet – mass_dry]/mass_ratio

]]></ac:plain-text-body></ac:structured-macro>

Vpw = Mpw/Dpw

calculate

MAD

volume_porewater = mass_porewater/density_porewater

Ms = Mt – Mpw

calculate

MAD

mass_solids = mass_wet – mass_porewater

Vs = Vt – Vpw

calculate

MAD

volume_solids = volume_wet – volume_porewater

Intermediary Computations: Submethod B

 

 

 

set

MAD

method =

"B" 

“B”

get

MAD

mass_wet = mass_wet{MAD_MASS}

 

get

MAD

mass_dry = mass_dry{MAD_MASS}

 

get

MAD

volume_wet = volume_wet{PYC}

Mpw = (Mt – Md)/rm

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="debd2860-52fc-4362-9380-c2436fa18cd1"><ac:plain-text-body><![CDATA[

Mpw = (Mt – Md)/rm

calculate

MAD

mass_porewater = [mass_wet – mass_dry]/mass_ratio

]]></ac:plain-text-body></ac:structured-macro>

Vpw = Mpw/Dpw

calculate

MAD

volume_porewater = mass_porewater/density_porewater

Ms = Mt – Mpw

calculate

MAD

mass_solids = mass_wet – mass_porewater

Vs = Vt – Vpw

calculate

MAD

volume_solids = volume_wet – volume_porewater

 

 

Formula or Condition

Action

LIMS
Analysis

Formula with LIMS Components

Intermediary Computations: Submethod C

 

 

 

 

set

MAD

method =

"C" 

“C”

get

MAD

mass_wet = mass_wet{MAD_MASS}

 

get

MAD

mass_dry = mass_dry{MAD_MASS}

 

get

MAD

volume_dry = volume_dry{PYC}

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="a470b618-12be-4ae0-a312-07c03a16eb85"><ac:plain-text-body><![CDATA[

Mpw = (Mt – Md)/

Mpw = (Mt – Md)/rm

calculate

MAD

mass_porewater = [mass_wet – mass_dry]/mass_ratio

]]></ac:plain-text-body></ac:structured-macro>

Vpw = Mpw/Dpw

calculate

MAD

volume_porewater = mass_porewater/density_porewater

Ms = Mt – Mpw

calculate

MAD

mass_solids = mass_wet – mass_porewater

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="f9a3f2a2-0627-41e8-97e8-01ceafc3ed3d"><ac:plain-text-body><![CDATA[

Msalt = Mpw – (Mt – Md)

calculate

MAD

mass_salt = mass_

Msalt = Mpw – (Mt – Md)

calculate

MAD

mass_salt = mass_

porewater – [mass_wet – mass_dry]

]]></ac:plain-text-body></ac:structured-macro>

Vsalt = Msalt/Dsalt

calculate

MAD

volume_salt = mass_salt/density_salt

Vt = Vd – Vsalt + Vpw

calculate

MAD

volume_wet = volume_dry – volume_salt + volume_porewater

Vs = Vt – Vpw

calculate

MAD

volume_solids = volume_wet – volume_porewater

Intermediary Computations: Sub-Method D

 

 

 

 

set

MAD

method =

"D" 

“D”

get

MAD

volume_wet = volume{CALIPER}

 

get

MAD

mass_dry = mass_dry{MAD_MASS}

 

get

MAD

volume_dry = volume_dry{PYC}

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="db30d26f-28ac-4dcb-a8b7-750eeb491be2"><ac:plain-text-body><![CDATA[

Mt = Md + Mw = Md +

Mt = Md + Mw = Md + (Vt – Vd) * 1

calculate

MAD

mass_wet = mass_dry + [volume_wet – volume_dry] * density_water

]]></ac:plain-text-body></ac:structured-macro>

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="8f417fe0-66b2-46ef-be49-e8d2d4d4c9b9"><ac:plain-text-body><![CDATA[

Vpw = Vw/r = (Vt – Vd)/rv

calculate

MAD

volume_porewater = [volume_wet – volume_dry

]/volume_ratio

]]></ac:plain-text-body></ac:structured-macro>

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="6a57cf8e-6543-41cb-8e1c-4e2fa7e8cf88"><ac:plain-text-body><![CDATA[

]/volume_ratio

Mpw = Vpw * Dpw

calculate

MAD

mass_porewater = [mass_wet – mass_dry]/[1 – salinity/1000]

]]></ac:plain-text-body></ac:structured-macro>

Ms = Mt(calc) – Mpw

calculate

MAD

mass_solids = mass_wet – mass_porewater

Vs = Vt – Vpw

calculate

MAD

volume_solids = volume_wet – volume_porewater

Final Computations: Submethods A, B, C, D

 

 

WW = Mpw/Mt

calculate

MAD

moisture_rel_dry = mass_porewater/mass_wet

WD = Mpw/Ms

calculate

MAD

moisture_rel_wet = mass_porewater/mass_solids

BD = Mt/Vt

calculate

MAD

density_bulk = mass_wet/volume_wet

DD = Ms/Vt

calculate

MAD

density_dry = mass_solids/volume_wet

GD = Ms/Vs

calculate

MAD

density_grain = mass_solids/volume_solids

PO = Vpw/Vt

calculate

MAD

porosity = volume_porewater/volume_wet

VR = Vpw/Vs

calculate

MAD

void_ratio = volume_porewater/volume_solids


LIMS Components and Definitions for MAD Analysis

CONTAINER Analysis: Sample Container

Analysis component

Definition

Unit

Explanation

container_number

Container number

Sample number for a specific container recorded in LIMS. The container number is supplied in the SAMPLE.NAME field. Sample number guarantees uniqueness. Written labels are reusable.

material_type

Container material

 

Material the container is made of.

mass

Container mass

g

Mass of container.

density

Container density

g/

cm3

cm3

Density of container material used to compute the volume of container material.

volume

Container material volume

cm3

cm3

Volume of container material computed from its mass and density; NOT the volume the container contains.

 

MAD_MASS Analysis: Mass Determination for MAD Analysis

Analysis component

Definition

Unit

Explanation

mass_wet

Mass of wet sample

g

Mass of the bulk sample, including the mass of the porewater, solid material, and dissolved salt.

mass_wet_container

Mass of wet sample + container

g

Mass of the bulk sample, including the mass of the porewater, solid material, dissolved salt, and container. If one-way containers are used, this does not include the mass of the lid of the container.

mass_dry

Mass of dry sample

g

Mass of the dried sample, including mass of evaporated salt.

mass_dry_container

Mass of dry sample + container

g

Mass of the dried sample, including evaporated salt plus the mass of the container. If one-way containers are used, this does not include the mass of the lid of the container.

container_number

Container number

Sample number for a specific container recorded in LIMS. The container number is supplied in the SAMPLE.NAME field. Sample number guarantees uniqueness. Written labels are reusable.

CALIPER Analysis: Caliper Measurements for MAD Analysis

Analysis component

Definition

Unit

Explanation

volume

Sample volume

cm3

Sample volume calculated from length, width, and height or height and diameter, depending on geometry.

geometry

Sample geometry

Geometry used to calculate volume: rectangular prism or cylinder.

length

Sample length

cm

Length

(error)

(x) of a rectangular prism sample; measure orthogonally to the other dimensions.

width

Sample width

cm

Width

(thumbs up)

(y) of a rectangular prism sample; measure orthogonally to the other dimensions.

height

Sample height

cm

Height (z) of a rectangular prism or cylindrical sample.

diameter

Sample diameter

cm

Diameter of a cylindrical sample.

container_number

Container number

Number inscribed on the container and logged into the LIMS.

comment

Comment

Comment about caliper measurement.

 

PYC Analysis: Pycnometry for MAD Analysis

Analysis component

Definition

Unit

Explanation

volume_wet

Volume of wet sample

cm3

cm3

Volume of wet sample measured in pycnometer. NOTE: Wet volume measurement by pycnometer is not accurate and is not recommended.

volume_wet_container

Volume of wet sample with container

cm3

cm3

Volume of wet sample and the container measured in pycnometer. NOTE: Wet volume measurement by pycnometer is not accurate and is not recommended.

volume_dry

Volume of dry sample

cm3

cm3

Volume of dry sample including evaporated salt.

volume_dry_container

Volume of dry sample with container

cm3

cm3

Volume of dry sample including evaporated salt and volume of container.

pyc_stdev

Standard deviation

cm3

cm3

Standard deviation calculated from N measurement cycles in the pycnometer.

number_measurements

Number of measurements

Number of successive measurements used in determining the result value.

container_number

Container number

Sample number for a specific container recorded in LIMS. The container number is supplied in the SAMPLE.NAME field. Sample number guarantees uniqueness. Written labels are reusable.

volume_container

Volume of container material

cm3

cm3

Volume of container material calculated from premeasured mass and material density of the container.

cell_number

Cell number

Number of the cell in the pycnometer used for this measurement.

temperature

Cell temperature

°C

Temperature of the pycnometer cell.

comment

Comment

Comment on pycnometer run.

 

PYC_QAQC Analysis: Pycnometry Calibration

Analysis component

Definition

Unit

Explanation

volume_cell_standard

Volume of cell with standard

cm3

cm3

Volume of the cell as computed with the standard.

volume_cell_exp

Volume of expansion cell

cm3

cm3

Expected volume of the cell (calibration).

cell_number

Cell number

Number of the cell in the pycnometer used for this measurement.

number_measurements

Number of measurements

Number of successive measurements used in determining the result value.

volume

Measured volume of standard

cm3

cm3

Volume of standard used for calibration or calibration verification.

container_number

Container number

Serial number for a specific container recorded in LIMS. The container number is supplied in the SAMPLE.NAME field.

measurement_type

Calibration (verification)

Purpose of the measurement: calibration or calibration verification.

temperature

Cell temperature

°C

Temperature of the pycnometer cell.

comment

Comment

Comment on pycnometer run.

 

MAD Analysis: Computed Results for MAD Analysis

Analysis component

Definition

Unit

Explanation

moisture_rel_wet

Moisture content (wet)

%mass

Moisture content of sample in percentage mass of water/mass of bulk sample (includes moisture and dissolved salt).

moisture_rel_dry

Moisture content (dry)

%mass

Moisture content of sample in percentage mass of water/mass of dry sample (without evaporated salt).

density_bulk

Bulk density (MAD)

g/

cm3

cm3

Grams of mass/mL of volume of bulk sample.

density_dry

Dry density (MAD)

g/

cm3

cm3

Grams of mass of solids (including evaporated salt)/mL bulk sample.

density_grain

Grain density (MAD)

g/

cm3

cm3

Grams of mass of solids (without mass of evaporated salt)/mL solids (without volume of evaporated salt).

porosity

Porosity (MAD)

%vol

Volume of porewater/volume of solids (without volume of evaporated salt).

void_ratio

Void ratio (MAD)

Volume of porewater/volume of solids (without volume of evaporated salt).

method

MAD submethod

Submethod used to calculate MAD results: A, B, C, D.

mass_wet

Wet mass

g

Measured or calculated mass of the bulk sample (including mass of porewater, material, and dissolved salt).

mass_dry

Dry mass

g

Measured or calculated mass of the dried sample (including mass of evaporated salt).

volume_wet

Wet volume

cm3

cm3

Measured or calculated volume of the bulk sample (including volume of porewater, material, and dissolved salt).

volume_dry

Dry volume

cm3

cm3

Measured or calculated volume of dried sample (including evaporated salt).

mass_porewater

Mass of porewater

g

Mass of the porewater in the sample.

volume_porewater

Volume of porewater

mL

Volume of porewater in the bulk (raw) sample.

mass_salt

Mass of salt

g

Mass of evaporated salt in the sample.

volume_salt

Volume of salt

cm3

cm3

Volume of dissolved salt in the bulk sample.

mass_solids

Mass of solids

g

Mass of the solid material in the sample (without mass of evaporated salt).

volume_solids

Volume of solids

cm3

cm3

Volume of solid material in the sample (without volume of dissolved salt).