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• W3155118549 abstract "Data analysis methods are essential to transform chromatographic data into useful information. There is an ongoing evolution of data analysis methods as increasingly challenging applications need to be addressed, instrumentation advances occur, separation speeds increase, data dimensionality increases, and growing volumes of data are collected. As the traditional data analysis methods have been covered in prior chapters, this chapter focuses primarily on advanced data analysis methods known as chemometrics. Chemometrics are mathematical methods that glean useful information from large volumes of complex chemical data that are not amenable to manual or traditional analysis. Chemometrics fill several analytical roles. First, the ability to identify and quantify analytes at extremely low chromatographic resolution can be provided. Second, pattern recognition and classification are often implemented by treating chromatograms as a chemical fingerprint. Third, groups of compounds may be simultaneously quantified using chemometric methods. Finally, another area of broad interest is predicting retention times to optimize separation parameters." @default.
• W3155118549 created "2021-04-26" @default.
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• W3155118549 date "2021-01-01" @default.
• W3155118549 modified "2023-10-14" @default.
• W3155118549 title "Data analysis methods for gas chromatography" @default.
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• W3155118549 doi "https://doi.org/10.1016/b978-0-12-820675-1.00007-1" @default.
• W3155118549 hasPublicationYear "2021" @default.
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