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Volatile Carbonyl Compounds Emission in Dry-Process Fibreboard: Identification through a Selective GDME-HPLC-DAD-MS/MS Method

Title
Volatile Carbonyl Compounds Emission in Dry-Process Fibreboard: Identification through a Selective GDME-HPLC-DAD-MS/MS Method
Type
Article in International Scientific Journal
Year
2024-03-25
Authors
Luísa Carvalho
(Author)
FEUP
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Fátima Daniela Gonçalves
(Author)
FCUP
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Jorge Martins
(Author)
FEUP
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Rodrigues, JA
(Author)
FCUP
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Rui Miguel Ramos
(Author)
FCUP
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Journal
The Journal is awaiting validation by the Administrative Services.
Title: SEPARATIONSImported from Authenticus Search for Journal Publications
Vol. 11
Pages: 92-92
ISSN: 2297-8739
Other information
Authenticus ID: P-010-D6A
Abstract (EN): This work presents a novel application of gas-diffusion microextraction (GDME) for the extraction and identification of volatile carbonyl compounds from a dry-process fibreboard (MDF) by combining high-performance liquid chromatography with diode array detection (HPLC-DAD) and mass spectrometry (MS). GDME is a simple, inexpensive, and environmentally friendly technique that allows the simultaneous extraction and derivatization with 2,4-dinitrophenylhydrazine (DNPH) of selected volatiles. The extraction conditions were optimized using design of experiments through a 24 full fractional design followed by a Box-Behnken design, resulting in 35 min of extraction at 45 degrees C using 500 mu L of DNPH 0.15%. The analysis of commercial MDF samples with different characteristics, such as thickness or colour, showed a distinct emission profile of volatile carbonyls. The principal emitting compounds found were formaldehyde, acetaldehyde, acetone, butanal, pentanal, hexanal, heptanal, octanal, and nonanal. A total of 25 compounds were identified using MS, including saturated and unsaturated aldehydes, ketones, dicarbonyls, and benzaldehyde-derivatives. This method can be a valuable tool for the qualitative evaluation of VOCs released from wood-based panels and for the assessment of indoor-air quality.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 15
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