Closing a gap in the current literature by addressing the evaluation and quality assessment of raw data, this practice-oriented guide is clearly divided into three parts. The first describes basic considerations of chromatographic data quality, common errors and potential pitfalls in reading out and quantifying the data. Part two systematically covers the most important chromatographic methods as well as the specific requirements for obtaining good chromatographic data. The final part looks at data quality from the perspective of those regulatory authorities demanding certain standards in data quality, describing in detail best practices.
Written with the practitioner in mind, the text not only teaches the mathematical basics but also provides invaluable advice.
發表於2024-11-14
Quantification in LC and GC 2024 pdf epub mobi 電子書 下載
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Quantification in LC and GC 2024 pdf epub mobi 電子書 下載