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MAM Consortium Interlaboratory Study Raw Data

These LC-MS and LC-MS/MS raw data were collected for purposes of an interlaboratory study evaluating the multi-attribute method (MAM). Tryptic digests of native NISTmAb (the "Reference" and the "Unknown" samples), degraded NISTmAb (the "pH Stress" sample) and NISTmAb spiked with 15 heavy-labeled synthetic peptides (the "Spike" sample) were sent to each participating laboratory. One injection of each digest was acquired in MS-only mode, while a second injection was acquired in MS/MS mode. Three injections of a mixture of 15 heavy-labeled synthetic peptides ("Calibration" sample) were also analyzed as a means of evaluating instrument performance. Although all data were collected using the same C18 column and LC method, the instrumentation used by each laboratory differed. Additional details regarding the samples, their preparation, the LC method used, and an evaluation of the results pertaining to the new peak detection aspect of MAM can be found in "New Peak Detection Performance Metrics from the MAM Consortium Interlaboratory Study" (https://pubs.acs.org/doi/10.1021/jasms.0c00415). Evaluation of the results pertaining to the attribute analytics aspect of MAM can be found in "Interlaboratory Attribute Analytics Metrics from the MAM Consortium Round Robin Study" (link to be provided). Raw data that was optionally submitted by sixteen participating laboratories are provided here. To preserve the integrity of the data, the files are provided in their original vendor format.Please note that Linux and Mac users may require the use of 7Zip (https://www.7-zip.org/) to extract zipped folders, rather than the extraction tool provided by their operating system.For any difficulty with downloading or extracting data files, please e-mail the contact listed above.

About this Dataset

Updated: 2024-02-22
Metadata Last Updated: 2021-10-18 00:00:00
Date Created: N/A
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attribute analytics
Dataset Owner: N/A

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Title MAM Consortium Interlaboratory Study Raw Data
Description These LC-MS and LC-MS/MS raw data were collected for purposes of an interlaboratory study evaluating the multi-attribute method (MAM). Tryptic digests of native NISTmAb (the "Reference" and the "Unknown" samples), degraded NISTmAb (the "pH Stress" sample) and NISTmAb spiked with 15 heavy-labeled synthetic peptides (the "Spike" sample) were sent to each participating laboratory. One injection of each digest was acquired in MS-only mode, while a second injection was acquired in MS/MS mode. Three injections of a mixture of 15 heavy-labeled synthetic peptides ("Calibration" sample) were also analyzed as a means of evaluating instrument performance. Although all data were collected using the same C18 column and LC method, the instrumentation used by each laboratory differed. Additional details regarding the samples, their preparation, the LC method used, and an evaluation of the results pertaining to the new peak detection aspect of MAM can be found in "New Peak Detection Performance Metrics from the MAM Consortium Interlaboratory Study" (https://pubs.acs.org/doi/10.1021/jasms.0c00415). Evaluation of the results pertaining to the attribute analytics aspect of MAM can be found in "Interlaboratory Attribute Analytics Metrics from the MAM Consortium Round Robin Study" (link to be provided). Raw data that was optionally submitted by sixteen participating laboratories are provided here. To preserve the integrity of the data, the files are provided in their original vendor format.Please note that Linux and Mac users may require the use of 7Zip (https://www.7-zip.org/) to extract zipped folders, rather than the extraction tool provided by their operating system.For any difficulty with downloading or extracting data files, please e-mail the contact listed above.
Modified 2021-10-18 00:00:00
Publisher Name National Institute of Standards and Technology
Contact mailto:[email protected]
Keywords attribute analytics , interlaboratory study , multi-attribute method , MAM Consortium , mass spectrometry , new peak detection , NPD , purity testing , round robin , targeted analytics , NISTmAb
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}

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