Chrono Coulometry

              flowchart TD
              pypalmsens.ChronoCoulometry[ChronoCoulometry]
              pypalmsens._methods.base.BaseTechnique[BaseTechnique]
              pypalmsens._methods.mixins.CurrentRangeMixin[CurrentRangeMixin]
              pypalmsens._methods.mixins.PretreatmentMixin[PretreatmentMixin]
              pypalmsens._methods.mixins.PostMeasurementMixin[PostMeasurementMixin]
              pypalmsens._methods.mixins.CurrentLimitsMixin[CurrentLimitsMixin]
              pypalmsens._methods.mixins.ChargeLimitsMixin[ChargeLimitsMixin]
              pypalmsens._methods.mixins.DataProcessingMixin[DataProcessingMixin]
              pypalmsens._methods.mixins.GeneralMixin[GeneralMixin]
              pypalmsens._methods.base_model.BaseModel[BaseModel]

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

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

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

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

                pypalmsens._methods.mixins.CurrentLimitsMixin --> pypalmsens.ChronoCoulometry
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.CurrentLimitsMixin
                

                pypalmsens._methods.mixins.ChargeLimitsMixin --> pypalmsens.ChronoCoulometry
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.ChargeLimitsMixin
                

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

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



              click pypalmsens.ChronoCoulometry href "" "pypalmsens.ChronoCoulometry"
              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.CurrentLimitsMixin href "" "pypalmsens._methods.mixins.CurrentLimitsMixin"
              click pypalmsens._methods.mixins.ChargeLimitsMixin href "" "pypalmsens._methods.mixins.ChargeLimitsMixin"
              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 chrono coulometry method parameters.

Chronoamperometry (CA) and Chronocoulometry (CC) have the same potential waveform but in CC, the charge is monitored as a function of time (instead of the current). The charge is determined by integrating the current.

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:

• bandwidth (None | float) –

  Override bandwidth on MethodSCRIPT devices if set.

• charge_limits (ChargeLimits) –

  Set the charge limit settings.

• current_limits (CurrentLimits) –

  Set the current limit settings.

• current_range (CurrentRange) –

  Set the autoranging current.

• data_processing (DataProcessing) –

  Set the data processing settings.

• equilibration_time (float) –

  Equilibration time in s.

• general (General) –

  Sets general/other settings.

• interval_time (float) –

  The time between two samples in s.

• post_measurement (PostMeasurement) –

  Set the post measurement settings.

• pretreatment (Pretreatment) –

  Set the pretreatment settings.

• record_auxiliary_input (bool) –

  Record auxiliary input.

• record_cell_potential (bool) –

  Record cell potential.

• record_we_potential (bool) –

  Record applied working electrode potential.

• step1_potential (float) –

  Potential applied during first step in V.

• step1_run_time (float) –

  Run time for the first step.

• step2_potential (float) –

  Potential applied during second step in V.

• step2_run_time (float) –

  Run time for the second step.

bandwidth: None | float = None

charge_limits: ChargeLimits = Field(default_factory=ChargeLimits)

current_limits: CurrentLimits = Field(default_factory=CurrentLimits)

current_range: CurrentRange = Field(default_factory=CurrentRange)

data_processing: DataProcessing = Field(default_factory=DataProcessing)

equilibration_time: float = 0.0

general: General = Field(default_factory=General)

interval_time: float = 0.1

post_measurement: PostMeasurement = Field(default_factory=PostMeasurement)

pretreatment: Pretreatment = Field(default_factory=Pretreatment)

record_auxiliary_input: bool = False

record_cell_potential: bool = False

record_we_potential: bool = False

step1_potential: float = 0.5

step1_run_time: float = 5.0

step2_potential: float = 0.5

step2_run_time: float = 5.0

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()