The Feature Mapper node performs retention-time alignment and feature linking across data sets. Its retention-time alignment step chromatographically aligns two or more input files and calculates the aligned retention times for features (for information, see Retention-time alignment and feature mapping). It compensates for small differences in the retention times of the components in a sequence of sample runs. It is designed to align files that were acquired using the same chromatographic method.

This node aligns only files having the same fraction number for multi-dimensional data and uses the grouping information on the Grouping & Quantification page to align them.

The following table describes the parameters for the Feature Mapper node.

Feature Mapper node parameters

Parameter

Definition

Perform RT Alignment

Determines whether to perform retention-time alignment.

  • (Default) True: Performs retention-time alignment.
  • False: Does not perform retention-time alignment.

Parameter Tuning

Determines how to tune the parameters for non-linear regression.

  • (Default) Coarse: Performs a search for optimal parameters in a moderate amount of time.
  • Fine: Performs a more exhaustive search for optimal parameters in a longer amount of time.

Maximum RT Shift [min]

Specifies the maximum retention-time shift allowed for mapping features from different files.

Range: 2–50; default: 10

Mass Tolerance

Specifies the maximum mass tolerance allowed for mapping features from different files, in ppm.

Range: 0.01 ppm–5000 ppm; default: 10 ppm

RT Tolerance [min]

Specifies the maximum retention-time tolerance used for mapping features from different files, in minutes. If the value is 0, the application automatically determines the tolerance.

Range: 0–4; default: 0

Mass Tolerance

Specifies the maximum mass tolerance allowed for mapping features from different files. If the value is 0, the application automatically determines the mass tolerance.

Range: 0–100.0 ppm; default: 0 ppm

Min. S/N Threshold

Specifies the minimum signal to noise (S/N) for a consensus feature to be used. The S/N value of a consensus feature is defined by the largest S/N value of all related features and single peaks.

Minimum: 0; Maximum: (unchecked)