Characterizing odorous emissions using new software for identifying peaks in chemometric models of gas chromatography–mass spectrometry datasets
Research output: Contribution to journal › Journal article › Research › peer-review
Original language | English |
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Journal | Chemometrics and Intelligent Laboratory Systems |
Volume | 118 |
Pages (from-to) | 41-50 |
Number of pages | 10 |
ISSN | 0169-7439 |
DOIs | |
Publication status | Published - 2012 |
ID: 40976222