Non-destructive detection of multi-component heavy metals in corn oil using nano-modified colorimetric sensor combined with near-infrared spectroscopy
Author:
Publisher
Elsevier BV
Subject
Food Science,Biotechnology
Reference45 articles.
1. A new and efficient variable selection algorithm based on ant colony optimization. Applications to near infrared spectroscopy/partial least-squares analysis;Allegrini;Analytica Chimica Acta,2011
2. Variation in accumulation of heavy metals in different verities of sunflower seed oil with the aid of multivariate technique;Ansari;Food Chemistry,2009
3. A sensitive and selective ratiometric near IR fluorescent probe for zinc ions based on the distyryl-bodipy fluorophore;Atilgan;Organic Letters,2008
4. Electrochemical preconcentration coupled with spectroscopic techniques for trace lead analysis in olive oils;Baldo;Talanta,2020
5. Chemically responsive nanoporous pigments: Colorimetric sensor arrays and the identification of aliphatic amines;Bang;Langmuir the Acs Journal of Surfaces & Colloids,2008
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