Generation of macro- and microplastic databases by high-throughput FTIR analysis with microplate readers.
Database
FTIR
High-throughput
Microplastics
Plastic pollution
Spectroscopy
Journal
Analytical and bioanalytical chemistry
ISSN: 1618-2650
Titre abrégé: Anal Bioanal Chem
Pays: Germany
ID NLM: 101134327
Informations de publication
Date de publication:
13 Jan 2024
13 Jan 2024
Historique:
received:
14
11
2023
accepted:
03
01
2024
revised:
22
12
2023
medline:
13
1
2024
pubmed:
13
1
2024
entrez:
12
1
2024
Statut:
aheadofprint
Résumé
FTIR spectral identification is today's gold standard analytical procedure for plastic pollution material characterization. High-throughput FTIR techniques have been advanced for small microplastics (10-500 µm) but less so for large microplastics (500-5 mm) and macroplastics (> 5 mm). These larger plastics are typically analyzed using ATR, which is highly manual and can sometimes destroy particles of interest. Furthermore, spectral libraries are often inadequate due to the limited variety of reference materials and spectral collection modes, resulting from expensive spectral data collection. We advance a new high-throughput technique to remedy these problems using FTIR microplate readers for measuring large particles (> 500 µm). We created a new reference database of over 6000 spectra for transmission, ATR, and reflection spectral collection modes with over 600 plastic, organic, and mineral reference materials relevant to plastic pollution research. We also streamline future analysis in microplate readers by creating a new particle holder for transmission measurements using off-the-shelf parts and fabricating a nonplastic 96-well microplate for storing particles. We determined that particles should be presented to microplate readers as thin as possible due to thick particles causing poor-quality spectra and identifications. We validated the new database using Open Specy and demonstrated that additional transmission and reflection spectra reference data were needed in spectral libraries.
Identifiants
pubmed: 38216759
doi: 10.1007/s00216-024-05127-w
pii: 10.1007/s00216-024-05127-w
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Renewable Energy Laboratory
ID : DE-AC36-08GO28308
Informations de copyright
© 2024. The Author(s).
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