Analyzing data collected by analytical instruments

Patent metadata

Field	Value
Publication number	US-11768185-B2
Application number	US-201916528628-A
Country	US
Kind code	B2
Filing date	Aug 1, 2019
Priority date	Aug 1, 2019
Publication date	Sep 26, 2023
Grant date	Sep 26, 2023

Abstract

The present disclosure describes a method, a system, and a computer program product of analyzing data collected by analytical instruments. In an embodiment, the method, the system, and the computer program product include receiving set-up information, running at least one incomplete analytical method on at least one known sample on at least one analytical instrument with respect to the set-up information, resulting in known sample data, processing the at least one incomplete analytical method with respect to the known sample data, resulting in at least one validated analytical method, and running the at least one validated analytical method on at least one unknown sample on the at least one analytical instrument with respect to the set-up information, resulting in analyzed sample data.

First claim

What is claimed is:

1. A computer implemented method comprising:
receiving, by a computer system, set-up information, wherein the set-up information describes at least one analytical instrument, at least one analysis to be performed on data collected by the at least one analytical instrument, and at least one analytical method;
executing, by the computer system, in response to receiving at least one instruction to automate the at least one analysis, a set of logical operations running the at least one analytical method on at least one known sample on the at least one analytical instrument with respect to the set-up information, resulting in known sample data;
executing, by the computer system, a set of logical operations defining a known sample peak region among the known sample data with respect to at least one member of a first set consisting of a baseline among the known sample data and a time period of the known sample data,
wherein the defining comprises
executing, by the computer system, a set of logical operations identifying a known sample maximum peak value among the known sample data with respect to the baseline by stepping through the known sample data and determining when a curve representing the known sample data transitions from increasing to decreasing, and
executing, by the computer system, a set of logical operations defining the known sample peak region with respect to the known sample maximum peak value;

executing, by the computer system, a set of logical operations aligning, with respect to the known sample peak region, additional detector data collected by at least one additional analytical instrument coupled to the at least one analytical instrument, resulting in aligned sample data;
executing, by the computer system, a set of logical operations band-broadening the aligned sample data with respect to the at least one analytical instrument and the at least one additional analytical instrument, resulting in band-broadened sample data; and
executing, by the computer system, a set of logical operations running the at least one analytical method on at least one unknown sample on the at least one analytical instrument with respect to the set-up information and the band-broadened sample data, resulting in analyzed sample data.

2. The method of claim 1 wherein the set-up information comprises:
instrument information describing the at least one analytical instrument;
configuration information describing at least one configuration of the at least one analytical instrument;
method information describing the at least one analytical method; and
operation information describing at least one operation to be performed during the at least one analysis.

3. The method of claim 2 wherein the set-up information further comprises:
at least one member of a second set consisting of
application information describing at least one analytical application corresponding to the at least one analysis,
known sample information corresponding to the at least one known sample,
unknown sample information corresponding to the at least one unknown sample, and
flow information corresponding to at least one member of a third set consisting of the at least one analytical instrument, the at least one analysis, the at least one analytical method, and the at least one unknown sample.

4. The method of claim 1 wherein the at least one analytical instrument is one of a particle fractionation system, a light scattering instrument, a viscometer, a refractometer, an ultraviolet-visible absorption detector, an infrared absorption detector, an evaporative light scattering detector, a Raman spectroscopy detector, an inductively coupled plasma mass spectrometry, a fluorescence detector, a conductivity detector, and a pH detector.

5. The method of claim 4
wherein the particle fractionation system is one of a liquid chromatography system and a field flow fractionation (FFF) system,
wherein the liquid chromatography system comprises at least one member of a second set consisting of a high performance liquid chromatography system, an ultra-high-performance liquid chromatography system, a reverse-phase chromatography system, an affinity chromatography system, and a fast protein liquid chromatography system, and
wherein the FFF system comprises at least one member of a third set consisting of an asymmetric flow FFF system, a gravitational FFF system, a centrifugal FFF system, a thermal-gradient FFF system, an electrical FFF system, a magnetic FFF system, a flow FFF system, a hollow fiber FFF system, and a split flow thin-cell fractionation system.

6. The method of claim 5 wherein the liquid chromatography system comprises:
at least one pump;
at least one chromatography column; and
at least one sample injector.

7. The method of claim 4
wherein the light scattering instrument is one of a static light scattering instrument and a dynamic light scattering instrument.

8. The method of claim 1 wherein the band-broadening comprises:
executing, by the computer system, a set of logical operations fitting the additional detector data to a band-broadening software kernel, thereby broadening the additional detector data to match a width of the data collected by the at least one analytical instrument.

9. The method of claim 1 further comprising:
executing, by the computer system, a set of logical operations normalizing the known sample data with respect to the baseline and a known sample maximum peak value among the known sample data.

10. The method of claim 9 wherein the normalizing comprises:
dividing a signal from each photodiode detector of the at least one analytical instrument by a signal from a calibration photodiode of the at least one analytical instrument.

11. The method of claim 1 further comprising:
storing alignment data corresponding to the at least one validated analytical method in a data store;
storing band-broadening data corresponding to the at least one analytical method in the data store; and
storing method information corresponding to the at least one analytical method in the data store.

12. The method of claim 11 wherein the storing further comprises:
storing normalization data corresponding to the at least one analytical method in the data store.

13. The method of claim 1 further comprising:
executing, by the computer system, a set of logical operations identifying at least one change in at least one operating condition of at least one member of a second set consisting of the at least one analytical instrument, the at least one analysis, and the at least one analytical method; and
executing, by the computer system, in response to the identifying, a set of logical operations changing a status of the at least one analytical method to indicate that the at least one analytical method is invalid.

14. A system comprising:
a memory; and
a processor in communication with the memory, the processor configured to perform a method comprising
receiving set-up information, wherein the set-up information describes at least one analytical instrument, at least one analysis to be performed on data collected by the at least one analytical instrument, and at least one analytical method,
executing, in response to receiving at least one instruction to automate the at least one analysis, a set of logical operations running the at least one analytical method on at least one known sample on the at least one analytical instrument with respect to the set-up information, resulting in known sample data,
executing a set of logical operations defining a known sample peak region among the known sample data with respect to at

Assignees

• Wyatt Tech Corp

Inventors

• Day Vivianna
• Maurer Barbara R
• Larkin Michael I
• Jarrett Jeremy W
• Trainoff Steven P

Classifications

• G01N30/8675 Primary

  Evaluation, i.e. decoding of the signal into analytical information (for analysis of specific compounds see also G01N30/88 and subgroups of G01N33/00; chemical libraries per se C40B) · CPC title

• G01N21/49

  within a body or fluid · CPC title

• G01N30/0005

  Field flow fractionation · CPC title

• G01N2030/027

  Liquid chromatography · CPC title

• G01N30/86 Primary

  Signal analysis · CPC title