Eppendorf BioSpectrometer basic - Manual (Page 34)

Methods
Eppendorf BioSpectrometer
® basic
English (EN)
34
Dye labels
• For dye-labeled biomolecules: Concentration determination of the biomolecule (nucleic acid or protein)
via measurement at 260 or 280 nm and measurement of the dye in one measuring procedure.
• Evaluation with factor. In addition to the biomolecule, up to two dyes can be measured at the same time
as two different wavelengths.
• Additional: evaluation of the frequency of incorporation (FOI) of the dye. Selection between two
different FOI calculation procedures.
• Already preprogrammed methods: ssDNA, labeled with Cy 3 or Cy 5.
• Correction of the influence of the dye spectrum on the accuracy of the biomolecule measurement is
possible.
• Partial turbidity correction can be performed via the Background parameter.
• Additional information on the purity of the measured materials: Ratios A260/A280 and ratios A260/A230
(ratio values only for nucleic acids), absorbance wavelength spectrum.
• When the methods are programmed, various associated parameters, such as wavelengths and
evaluation factors, are imported by simply selecting the biomolecule and the dye from predetermined
lists. These parameters are separately defined in the functions of the
Gen. method param. group.
Various nucleic acids, proteins and dyes are preprogrammed in Gen. method param.. You may add
further nucleic acids, proteins and dyes.
• Only for labeled nucleic acids: Concentrations can be converted to molar concentrations and (after the
sample volume has been entered) to nucleic acid and dye quantities ( process results method step).
Bacterial density
• Turbidity measurement to determine the bacteria density.
• Measurement at 600 nm is already preprogrammed.
• Additional information: absorbance wavelength spectrum.
6.2.3 Basic method group
Factor, standard
• Measurement on a wavelength and factor or standard evaluation.
• Methods for factor and standard evaluation are preprogrammed.
Calibration curve
• Measurement on a wavelength and subsequent evaluation with a series of 2 to 12 standards.
• You can select between different evaluation procedures ("Curve fit") as linear regression, non-linear
regression.
• Graphical and tabular display of the standard results.
• The last saved standard evaluation can be used.
• A method for standard curve evaluation is preprogrammed.