Post-optimization of Py-GC/MS data: A case study using a new digital chemical noise reduction filter (NOISERA) to enhance the data quality utilizing OpenChrom mass spectrometric software

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Title
Post-optimization of Py-GC/MS data: A case study using a new digital chemical noise reduction filter (NOISERA) to enhance the data quality utilizing OpenChrom mass spectrometric software
Authors
Keywords
-
Journal
JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS
Volume 92, Issue 1, Pages 202-208
Publisher
Elsevier BV
Online
2011-06-06
DOI
10.1016/j.jaap.2011.05.013

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