Prediction of cadmium concentration in brown rice before harvest by hyperspectral remote sensing.
Before harvest
Booting stage
Brown rice
Cd concentration
Derivative transformation
Hyperspectral
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Jan 2019
Jan 2019
Historique:
received:
27
07
2018
accepted:
12
11
2018
pubmed:
21
11
2018
medline:
15
2
2019
entrez:
21
11
2018
Statut:
ppublish
Résumé
Cadmium (Cd) contaminated rice has become a global food security issue. Hyperspectral remote sensing can do rapid and nondestructive monitoring of environmental stress in plant. To realize the nondestructive detection of Cd in brown rice before harvest, the leaf spectral reflectance of rice exposed to six different levels of Cd stress was measured during the whole life stages. In addition, the dry weight of rice grain and Cd concentrations in brown rice were measured after harvest. The impact of Cd stress on the quantity and the quality of rice grain and on the leaf reflectance of rice was analyzed, and hyperspectral estimation models for predicting the Cd content in brown rice during three growth stages were established. The results showed that rice plants can impact the quality of the brown rice seriously, even if the impact on the quantity was not significant. All the established models had the capability to estimate Cd concentrations in brown rice (R
Identifiants
pubmed: 30456622
doi: 10.1007/s11356-018-3745-9
pii: 10.1007/s11356-018-3745-9
doi:
Substances chimiques
Soil Pollutants
0
Cadmium
00BH33GNGH
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1848-1856Subventions
Organisme : National key R & D project
ID : No. 2018YFD0800201
Organisme : Key Project of Chinese National Programs for Fundamental Research and Development
ID : 973 Program, No. 2010CB950702
Organisme : APN Global Change Fund Project
ID : No. ARCP2015-03CMY-Li
Organisme : Suzhou Science and Technology Project of China
ID : SNG201447
Références
Environ Sci Technol. 2002 Jun 15;36(12):2742-7
pubmed: 12099473
Anal Sci. 2003 Nov;19(11):1553-5
pubmed: 14640458
Environ Int. 2004 Aug;30(6):785-91
pubmed: 15120196
Sci Total Environ. 2006 Nov 1;370(2-3):302-9
pubmed: 16870236
Sci Total Environ. 2008 Feb 15;390(2-3):301-10
pubmed: 18036635
BMC Plant Biol. 2009 Jan 21;9:8
pubmed: 19154618
J Exp Bot. 2009;60(9):2677-88
pubmed: 19401409
Proc Natl Acad Sci U S A. 2013 Jan 15;110(3):E185-92
pubmed: 23213258
Environ Pollut. 2013 May;176:55-62
pubmed: 23416269
Environ Sci Technol. 2013 Jun 4;47(11):5613-8
pubmed: 23668419
J Hazard Mater. 2014 Jan 30;265:166-76
pubmed: 24361494
Rice (N Y). 2012 Feb 27;5(1):5
pubmed: 24764505
PLoS One. 2015 Aug 07;10(8):e0135182
pubmed: 26252956
Sci Total Environ. 2016 Jan 15;541:969-976
pubmed: 26473699
Int J Environ Res Public Health. 2016 Jun 18;13(6):
pubmed: 27322304
Food Chem. 2016 Dec 15;213:206-214
pubmed: 27451173
Food Chem. 2017 Feb 15;217:217-224
pubmed: 27664629
Environ Pollut. 2017 May;224:622-630
pubmed: 28242254
J Food Sci Technol. 2018 Mar;55(3):1175-1184
pubmed: 29487460
Arch Environ Contam Toxicol. 1997 Feb;32(2):154-60
pubmed: 9069190