Multiple Pulse Amperometry

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

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

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

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

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

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

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



              click pypalmsens.MultiplePulseAmperometry href "" "pypalmsens.MultiplePulseAmperometry"
              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.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 multiple pulse amperometry method parameters.

The Multiple Pulse Amperometry (MPAD) technique involves applying a series of voltage pulses to an electrode immersed in a sample solution, and the resulting current of one of the pulses is measured.

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:

• current_range (CurrentRange) –

  Set the autoranging current.

• data_processing (DataProcessing) –

  Set the data processing settings.

• duration_1 (float) –

  Duration of the first applied potential in s.

• duration_2 (float) –

  Duration of the first applied potential in s.

• duration_3 (float) –

  Duration of the first applied potential in s.

• equilibration_time (float) –

  Equilibration time in s.

• general (General) –

  Sets general/other settings.

• post_measurement (PostMeasurement) –

  Set the post measurement settings.

• potential_1 (float) –

  First applied potential level at which the current is recorded in V.

• potential_2 (float) –

  Second applied potential level at which the current is recorded in V.

• potential_3 (float) –

  Third applied potential level at which the current is recorded in V.

• pretreatment (Pretreatment) –

  Set the pretreatment settings.

• run_time (float) –

  Total run time of the measurement in s.

current_range: CurrentRange = Field(default_factory=CurrentRange)

data_processing: DataProcessing = Field(default_factory=DataProcessing)

duration_1: float = 0.1

duration_2: float = 0.1

duration_3: float = 0.1

equilibration_time: float = 0.0

general: General = Field(default_factory=General)

post_measurement: PostMeasurement = Field(default_factory=PostMeasurement)

potential_1: float = 0.0

potential_2: float = 0.0

potential_3: float = 0.0

pretreatment: Pretreatment = Field(default_factory=Pretreatment)

run_time: float = 10.0

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()