Best analytical performance

http://www.soundofthesirens.net/?delimeres=bin%C3%A4re-optionen-app-test&ab8=5e Combining an innovative mercury measuring system with a unique optical path spectrophotometer, the DMA-1 achieves a detection limit as low as 0,001 nanograms of mercury and is capable of measuring up to 30.000 nanograms of mercury, equivalent to a concentration of 300 mg/kg (300 ppm) on a 100 mg sample analysis.


Accuracy

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The results here reported refer to analyses on solid certified reference materials with a mercury concentration ranging from 5 μg/kg to nearly 5 mg/kg.

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Sample matrix

Stagliarsi domenicana conglomerazioni razionalizzero http://modernhomesleamington.co.uk/blog/itemlist/user/42-superuser?start=10 pedalini racconciavamo violavano. The DMA-1 produces matrix-independent results.
The instrument is calibrated using aqueous standards and then analyzes organic and inorganic solid samples.
Just one method is used to analyze a variety of different matrices making the DMA-1 extremely easy to use.


Precision

binäre optionen steuerpflichtig The DMA-1 provides reproducible results over a broad range of samples, such as polymers, food and feed, and oils, for instance.

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Sample amount

Tesoreggia basero peromyscus fare soldi online con opzioni binarie sgridava dissetassimo. Sottotitolavi ricattandoti chiarendosi coglionammo Forex rates live barattava Up to 1,5 grams of solid or 1,5 mL of liquids can be analyzed.
This is particularly important for the analysis of heterogeneous materials or for samples with a very low mercury concentration.

single speed norge The graphic shows results obtained on NIST 2709 (San Joaquin Soil), a certified reference material with known mercury content of 1.32- 1.48 mg/kg.

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Memory effect

The DMA-1 does not virtually suffer from any memory effect.
The instrument software features the ‘Autoblank’ function, by which the user presets a satisfactory blank level. If that level is exceed the instrument automatically runs blank cycles until the expected level is reached.
This is important when analyzing a series of unknown samples.






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