Quantitative detection of corrosion minerals in carbon steel using shortwave infrared hyperspectral imaging.
Journal
RSC advances
ISSN: 2046-2069
Titre abrégé: RSC Adv
Pays: England
ID NLM: 101581657
Informations de publication
Date de publication:
09 Nov 2022
09 Nov 2022
Historique:
received:
22
08
2022
accepted:
08
11
2022
entrez:
25
11
2022
pubmed:
26
11
2022
medline:
26
11
2022
Statut:
epublish
Résumé
This study presents a novel method for the detection and quantification of atmospheric corrosion products on carbon steel. Using hyperspectral imaging (HSI) in the short-wave infrared range (SWIR) (900-1700 nm), we are able to identify the most common corrosion minerals such as: α-FeO(OH) (goethite), γ-FeO(OH) (lepidocrocite), and γ-Fe
Identifiants
pubmed: 36425693
doi: 10.1039/d2ra05267a
pii: d2ra05267a
pmc: PMC9664455
doi:
Types de publication
Journal Article
Langues
eng
Pagination
32775-32783Informations de copyright
This journal is © The Royal Society of Chemistry.
Déclaration de conflit d'intérêts
There are no conflicts to declare.
Références
Sensors (Basel). 2022 Jan 05;22(1):
pubmed: 35009949
Materials (Basel). 2021 Jun 29;14(13):
pubmed: 34209551
Sensors (Basel). 2021 Nov 04;21(21):
pubmed: 34770640
IEEE Trans Image Process. 2004 Apr;13(4):600-12
pubmed: 15376593
Analyst. 2014 May 21;139(10):2489-98
pubmed: 24665463
Sci Adv. 2019 Aug 30;5(8):eaax1975
pubmed: 31497648