US 12,092,619 B2
Methods, mediums, and systems for linking chromatography data and metadata to compliance risks
Richard Chapman, Westborough, MA (US); Simon Meffan-Main, Manchester (GB); and Tracy Hibbs, Nashville, TN (US)
Assigned to Waters Technologies Ireland Limited, Dublin (IE)
Filed by Waters Technologies Ireland Limited, Dublin (IE)
Filed on Apr. 8, 2022, as Appl. No. 17/716,696.
Claims priority of provisional application 63/172,953, filed on Apr. 9, 2021.
Prior Publication US 2022/0326193 A1, Oct. 13, 2022
Int. Cl. G01N 30/88 (2006.01); G01N 30/06 (2006.01); G01N 30/16 (2006.01); G01N 30/64 (2006.01); G01N 30/86 (2006.01)
CPC G01N 30/16 (2013.01) [G01N 30/06 (2013.01); G01N 30/64 (2013.01); G01N 30/8658 (2013.01); G01N 30/8693 (2013.01); G01N 30/8696 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
requesting input information relating to a chromatography experiment from a data lake, the input information comprising metadata relating to how the chromatography experiment was performed, wherein the metadata comprises at least one of: whether the chromatography experiment included an unprocessed injection; whether the chromatography experiment included a manually processed injection, whether the chromatography experiment included an aborted injection; or whether the chromatography experiment was associated with a manually integrated peak;
applying machine learning to identify a relationship between the metadata and whether a compliance issue exists with regards to the chromatography experiment;
applying the identified relationship to new chromatography input information, the new chromatography input information including a new configuration of metadata; and
flagging one or more parameters in the new configuration of metadata contributing to a compliance issue in a dashboard user interface.