Fast Amperometry

Create fast amperometry method parameters.

Fast amperometry is a form of Amperometric Detection (Chronoamperometry) but with very high sampling rates or very short interval times.

Methods:

• to_dict –

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

• from_dict –

  Structure technique instance from dict.

• from_method_id –

  Create new instance of appropriate technique from method ID.

Attributes:

• general (General) –

  Sets general/other settings.

• multiplexer (Multiplexer) –

  Set the multiplexer settings.

• data_processing (DataProcessing) –

  Set the data processing settings.

• measurement_triggers (MeasurementTriggers) –

  Set the trigger at measurement settings.

• equilibrion_triggers (EquilibrationTriggers) –

  Set the trigger at equilibration settings.

• ir_drop_compensation (IrDropCompensation) –

  Set the iR drop compensation settings.

• charge_limits (ChargeLimits) –

  Set the charge limit settings.

• current_limits (CurrentLimits) –

  Set the current limit settings.

• post_measurement (PostMeasurement) –

  Set the post measurement settings.

• bipot (BiPot) –

  Set the bipot settings.

• versus_ocp (VersusOCP) –

  Set the versus OCP settings.

• pretreatment (Pretreatment) –

  Set the pretreatment settings.

• id (Literal['fam']) –

  Unique method identifier.

• current_range (AllowedCurrentRanges) –

  Fixed current range.

• equilibration_time (float) –

  Equilibration time in s.

• equilibration_potential (float) –

  Equilibration potential at which the measurement starts in V.

• interval_time (float) –

  Time between two current samples in s.

• potential (float) –

  Potential during measurement in V.

• run_time (float) –

  Total run time of the measurement in s.

general: General = Field(default_factory=General)

multiplexer: Multiplexer = Field(default_factory=Multiplexer)

data_processing: DataProcessing = Field(default_factory=DataProcessing)

measurement_triggers: MeasurementTriggers = Field(default_factory=MeasurementTriggers)

equilibrion_triggers: EquilibrationTriggers = Field(default_factory=EquilibrationTriggers)

ir_drop_compensation: IrDropCompensation = Field(default_factory=IrDropCompensation)

charge_limits: ChargeLimits = Field(default_factory=ChargeLimits)

current_limits: CurrentLimits = Field(default_factory=CurrentLimits)

post_measurement: PostMeasurement = Field(default_factory=PostMeasurement)

bipot: BiPot = Field(default_factory=BiPot)

versus_ocp: VersusOCP = Field(default_factory=VersusOCP)

pretreatment: Pretreatment = Field(default_factory=Pretreatment)

id: Literal['fam'] = 'fam'

current_range: AllowedCurrentRanges = '100nA'

equilibration_time: float = 0.0

equilibration_potential: float = 1.0

interval_time: float = 0.1

potential: float = 0.5

run_time: float = 1.0

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()

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()