September 9th 2024
As data volumes and expectations for fast scientific discovery continue to increase, laboratory-based research organizations can no longer rely on a siloed approach to data management. To remain competitive, scientific organizations need to connect all their data, from discovery through manufacturing, in a unified informatics platform.
A New Era for Big Data and Chromatography
November 1st 2017We have entered a new stage in the era of accelerations. Moore’s law continues its expansion, increasing exponentially the computer power available. Other accelerations are remarkable, particularly easy access to cloud computing and the expansion and influence of artificial intelligence to practically all sectors of our society.
Meeting Review: Automation and Data Handling For Diverse Separation Science Applications
March 7th 2017A one-day symposium, organized by The Chromatographic Society, discussing practical advances in automation and data processing in modern science laboratories was held at Syngenta Research Laboratories in Bracknell, Berkshire, UK, on 25 October 2016.
This article describes the development of a new data-independent acquisition (DIA) workflow for protein quantification that uses a mass spectrometer that combines three types of mass analyzers to achieve lower limits of detection (LOD), higher sensitivity, more accurate quantitative results, wider dynamic range, and better reproducibility than existing high-resolution accurate-mass (HRAM) tandem mass spectrometry (MS-MS) DIA workflows.
Data Handling for Fast Chromatography — Qualitative Analysis
December 1st 2001The November 2001 installment addressed requirements and potential problems associated with the acquisition of fast chromatography peaks at detectors and data-recording systems. Hinshaw continues the topic in this month's column and treats issues that involve qualitative data reduction after a chromatogram has been acquired.
Chromatography Data Systems, Part III: Prospective Validation of a Chromatography Data System
May 1st 2000The first two parts of this series covered the fundamentals of a system and the specification, evaluation, and selection of a chromatography data system. Part III discusses the validation work in parallel with progress through the life cycle of the project.
Chromatography Data Systems, Part II: Specifying, Evaluating, and Selecting a System
February 1st 2000In the second installment of this series, the author looks at the first phase of the life cycle of a new chromatography system, bringing together a number of elements of the workflow and the functions as they are used in the laboratory.