Stripping Chrono Potentiometry

              flowchart TD
              pypalmsens.StrippingChronoPotentiometry[StrippingChronoPotentiometry]
              pypalmsens._methods.base.BaseTechnique[BaseTechnique]
              pypalmsens._methods.mixins.CurrentRangeMixin[CurrentRangeMixin]
              pypalmsens._methods.mixins.PretreatmentMixin[PretreatmentMixin]
              pypalmsens._methods.mixins.PostMeasurementMixin[PostMeasurementMixin]
              pypalmsens._methods.mixins.EquilibrationTriggersMixin[EquilibrationTriggersMixin]
              pypalmsens._methods.mixins.MeasurementTriggersMixin[MeasurementTriggersMixin]
              pypalmsens._methods.mixins.DataProcessingMixin[DataProcessingMixin]
              pypalmsens._methods.mixins.GeneralMixin[GeneralMixin]
              pypalmsens._methods.base_model.BaseModel[BaseModel]

                              pypalmsens._methods.base.BaseTechnique --> pypalmsens.StrippingChronoPotentiometry
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.base.BaseTechnique
                

                pypalmsens._methods.mixins.CurrentRangeMixin --> pypalmsens.StrippingChronoPotentiometry
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.CurrentRangeMixin
                

                pypalmsens._methods.mixins.PretreatmentMixin --> pypalmsens.StrippingChronoPotentiometry
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.PretreatmentMixin
                

                pypalmsens._methods.mixins.PostMeasurementMixin --> pypalmsens.StrippingChronoPotentiometry
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.PostMeasurementMixin
                

                pypalmsens._methods.mixins.EquilibrationTriggersMixin --> pypalmsens.StrippingChronoPotentiometry
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.EquilibrationTriggersMixin
                

                pypalmsens._methods.mixins.MeasurementTriggersMixin --> pypalmsens.StrippingChronoPotentiometry
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.MeasurementTriggersMixin
                

                pypalmsens._methods.mixins.DataProcessingMixin --> pypalmsens.StrippingChronoPotentiometry
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.DataProcessingMixin
                

                pypalmsens._methods.mixins.GeneralMixin --> pypalmsens.StrippingChronoPotentiometry
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.GeneralMixin
                



              click pypalmsens.StrippingChronoPotentiometry href "" "pypalmsens.StrippingChronoPotentiometry"
              click pypalmsens._methods.base.BaseTechnique href "" "pypalmsens._methods.base.BaseTechnique"
              click pypalmsens._methods.mixins.CurrentRangeMixin href "" "pypalmsens._methods.mixins.CurrentRangeMixin"
              click pypalmsens._methods.mixins.PretreatmentMixin href "" "pypalmsens._methods.mixins.PretreatmentMixin"
              click pypalmsens._methods.mixins.PostMeasurementMixin href "" "pypalmsens._methods.mixins.PostMeasurementMixin"
              click pypalmsens._methods.mixins.EquilibrationTriggersMixin href "" "pypalmsens._methods.mixins.EquilibrationTriggersMixin"
              click pypalmsens._methods.mixins.MeasurementTriggersMixin href "" "pypalmsens._methods.mixins.MeasurementTriggersMixin"
              click pypalmsens._methods.mixins.DataProcessingMixin href "" "pypalmsens._methods.mixins.DataProcessingMixin"
              click pypalmsens._methods.mixins.GeneralMixin href "" "pypalmsens._methods.mixins.GeneralMixin"
              click pypalmsens._methods.base_model.BaseModel href "" "pypalmsens._methods.base_model.BaseModel"
            

Create stripping potentiometry method parameters.

Chronopotentiometric Stripping or Stripping chronopotentiometry is a sensitive analytical technique. The sequence of a stripping chronopotentiometry measurement:

1. Apply conditioning potential, if conditioning time > 0.
2. Apply deposition potential, if deposition time > 0.
3. Apply deposition potential and wait for equilibration time.
4. If the stripping current is set to 0 then the cell is switched off. Otherwise, the specified constant current is applied. The measurement with a rate of 40 kHz starts. The measurement stops when either the measured potential is below ‘end_potential’ or the measurement_time is exceeded.

Methods:

• from_dict –

  Structure technique instance from dict.

• from_method_id –

  Create new instance of appropriate technique from method ID.

• to_dict –

  Return the technique instance as a new key/value dictionary mapping.

Attributes:

• applied_current_range (AllowedCurrentRanges) –

  Applied current range.

• bandwidth (None | float) –

  Override the bandwidth filter cutoff frequency (in Hz).

• current (float) –

  The stripping current to apply.

• current_range (CurrentRange) –

  Set the autoranging current.

• data_processing (DataProcessing) –

  Set the data processing settings.

• end_potential (float) –

  Potential where the measurement at stops in V .

• equilibrion_triggers (EquilibrationTriggers) –

  Set the trigger at equilibration settings.

• general (General) –

  Sets general/other settings.

• measurement_time (float) –

  The maximum measurement time in s.

• measurement_triggers (MeasurementTriggers) –

  Set the trigger at measurement settings.

• post_measurement (PostMeasurement) –

  Set the post measurement settings.

• potential_range (AllowedPotentialRanges) –

  Fixed potential range.

• pretreatment (Pretreatment) –

  Set the pretreatment settings.

applied_current_range: AllowedCurrentRanges = '100uA'

bandwidth: None | float = None

current: float = 0.0

current_range: CurrentRange = Field(default_factory=CurrentRange)

data_processing: DataProcessing = Field(default_factory=DataProcessing)

end_potential: float = 0.0

equilibrion_triggers: EquilibrationTriggers = Field(default_factory=EquilibrationTriggers)

general: General = Field(default_factory=General)

measurement_time: float = 1.0

measurement_triggers: MeasurementTriggers = Field(default_factory=MeasurementTriggers)

post_measurement: PostMeasurement = Field(default_factory=PostMeasurement)

potential_range: AllowedPotentialRanges = '500mV'

pretreatment: Pretreatment = Field(default_factory=Pretreatment)

from_dict(obj: dict[str, Any]) -> BaseTechnique

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@classmethod
def from_dict(cls, obj: dict[str, Any]) -> BaseTechnique:
    """Structure technique instance from dict.

    Opposite of `.to_dict()`"""
    return cls.model_validate(obj)

from_method_id(id: str) -> BaseTechnique

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@classmethod
def from_method_id(cls, id: str) -> BaseTechnique:
    """Create new instance of appropriate technique from method ID."""
    new = cls._registry[id]
    return new()

to_dict() -> dict[str, Any]

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def to_dict(self) -> dict[str, Any]:
    """Return the technique instance as a new key/value dictionary mapping."""
    return self.model_dump()