Chromatography software

The major tool of the chromatographic software is peaks "integration". A series of articles describes it: Peak Integration Part 1,{{Cite web |date=2021-02-09 |title=Peak Integration, Part 1: How It Is Done |url=https://www.sepscience.com/hplc-solutions-127-peak-integration-part-1-how-it-is-done/ |access-date=2023-10-15 |website=Separation Science |language=en-US}} Peak Integration Part 2,{{Cite web |date=2021-02-09 |title=Peak Integration, Part 2: If You Don't Like the Default Conditions |url=https://www.sepscience.com/hplc-solutions-128-peak-integration-part-2-if-you-dont-like-the-default-conditions/ |access-date=2023-10-15 |website=Separation Science |language=en-US}} Peak Integration Part 3.{{Cite web |date=2021-02-09 |title=Peak Integration, Part 3:Common Integration Errors |url=https://www.sepscience.com/hplc-solutions-129-peak-integration-part-3common-integration-errors/ |access-date=2023-10-15 |website=Separation Science |language=en-US}} The parameters inside the chromatography software which affect the integration are called the Integration events.{{Cite web |date=September 1, 2010 |title=Challenging Chromatographic Peak Integration |url=https://www.americanlaboratory.com/914-Application-Notes/509-Challenging-Chromatographic-Peak-Integration/ |access-date=2023-10-15 |website=www.americanlaboratory.com |language=en}}

Peak integration in any chromatographic software refers to the process of quantifying the areas under the peak's curve in the chromatogram. The area under the peak is proportional to the amount of that particular component in the sample.

Here are the basics of peak integration in a chromatographic system:

1. Peak Identification: Before integration, the peaks corresponding to different components in the sample need to be identified, based on their retention times. This is typically done by comparing the observed peaks with known standards or reference data.
2. Baseline Correction: Establish a baseline for the chromatogram, which represents the lowest signal level along the time axis next to the peak. The baseline represents the noise and background signal. Taking into account the baseline level allows an accurate integration, because it takes into account any drift or fluctuations in the baseline.
3. Peak Integration parameters and settings: Use appropriate algorithms to integrate the peaks in the chromatogram. Adjust integration parameters and settings as needed, such as noting peak width, noise threshold, and baseline correction method, which determine where the peak starts and ends and its maximum point. Optimizing these parameters helps obtain accurate and precise integration results.
4. Quantification: Once the areas under the peaks are determined through integration, the quantification of each component is performed. The integrated areas are compared to a calibration curve, created using standards' concentrations to calculate the concentration of each component in the unknown sample.
5. Data Interpretation: The software analyzes the integrated data to draw conclusions about the composition, concentration, and purity of the sample. The integrated areas provide valuable information for various applications, including quality control, research, and analysis.
6. Validation and Quality Control: It is important to ensure the accuracy and reliability of the integration process, by performing validation and quality control checks to the software itself. This may involve comparing integration results with known standards, replicating analyses, and assessing precision and accuracy{{Cite book |last=McDowall |first=R. D. |title=Validation of chromatography data systems: ensuring data integrity, meeting business and regulatory requirements |date=2017 |publisher=Royal Society of Chemistry |isbn=978-1-84973-662-6 |edition=2nd |series=RSC chromatography monographs |location=Cambridge}}

Applications are also available for simulation of chromatography, for example for teaching, demonstration, or for method development &/or optimization.

Many chromatography software packages are provided by manufacturers, and many of them only provide a simple interface to acquire data. They also provide different tools to analyze this data.{{Cite journal |last1=Mazzarese |first1=Robert P. |last2=Zipfell |first2=Peter J. |last3=Bird |first3=Steven M. |last4=Dong |first4=Michael W. |date=2019 |title=Chromatography Data Systems: Perspectives, Principles, and Trends |journal=LCGC North America |volume=37 |issue=12 |pages=852–865}}

The following is a list of software and the (unexplained) tools that each provides. Please note that some of them were discontinued with the years.

• Laboratory informatics

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{{Chromatography}}