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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Data for: Optimization and validation of an HS-SPME/GC-MS method for determining volatile organic compounds (VOCs) in dry-cured ham

Authors: Babič, Katja; Strojnik, Lidija; Ćirić, Andrija; Ogrinc, Nives;

Data for: Optimization and validation of an HS-SPME/GC-MS method for determining volatile organic compounds (VOCs) in dry-cured ham

Abstract

In the Excel file 'Tables&Graphs', data is collected across seven sheets. Sheet 'Table 1' contains all the conditions that were tested. The sheet 'Data for PCA' gathers raw data for 4 different dry-cured hams, with each listing the corresponding % area. Sheets 'Fig 1 - Fig 3' contains data for method optimization. In the last tab, 'Compounds identified in the Karst dry-cured ham' are listed, including their Kovats Index (KI), Retention Index (RI), and identification (ID).

Keywords

HS-SMPE/GC-MS, response surface methodology, validation, dry-cured ham

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average