Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractStructural characterization of the alpha-mating factor prepro-peptide for secretion of recombinant proteins in Pichia pastoris    Next AbstractSensory neuron lineage mapping and manipulation in the Drosophila olfactory system »

Spectrochim Acta A Mol Biomol Spectrosc


Title:A paper-based colorimetric sensor array for discrimination of monofloral European honeys based on gold nanoparticles and chemometrics data analysis
Author(s):Chaharlangi M; Tashkhourian J; Bordbar MM; Brendel R; Weller P; Hemmateenejad B;
Address:"Chemistry Department, Shiraz University, Shiraz 71454, Iran. Institute for Instrumental Analytics and Bioanalytics, Mannheim University of Applied Sciences, 68163 Mannheim, Germany. Chemistry Department, Shiraz University, Shiraz 71454, Iran; Institute of Medicinal and Pharmaceutical Chemistry, University of Technology Braunschweig, Braunschweig, Germany. Electronic address: hemmatb@shirazu.ac.ir"
Journal Title:Spectrochim Acta A Mol Biomol Spectrosc
Year:2021
Volume:20201021
Issue:
Page Number:119076 -
DOI: 10.1016/j.saa.2020.119076
ISSN/ISBN:1873-3557 (Electronic) 1386-1425 (Linking)
Abstract:"A sensitive and simple nanomaterial based colorimetric sensor array (NBCSA) was developed for discrimination of monofloral honey from various European countries based on three botanical origins as Acacia, Canola and Honeydew. The NBCSA was designed by spotting gold (AuNPs) and silver (AgNPs) nanoparticles synthesized using six different reducing and/or capping agents. The colour intensity of AuNPs represented differential changes when interacting with volatile organic compounds appeared in the headspace of the honey samples. The color difference maps, which are calculated as the difference between color intensity of the sensor before and after exposing to the sample vapors, were used as a fingerprint to discriminate the honey samples based on botanical origin. Classification was achieved utilizing data pre-processing and chemometrics data analysis. Fitting accuracies of 88% and 86% were obtained by partial least squares discriminant analysis and linear discriminant analysis whereas 100% was achieved using support vector machine"
Keywords:Colorimetry Data Analysis Discriminant Analysis Europe Flowers Gold *Honey/analysis *Metal Nanoparticles Botanical origin Colorimetric sensor array Discrimination Gold nanoparticles Honey;
Notes:"MedlineChaharlangi, Mahsa Tashkhourian, Javad Bordbar, Mohammad Mahdi Brendel, Rebecca Weller, Philipp Hemmateenejad, Bahram eng England 2020/11/07 Spectrochim Acta A Mol Biomol Spectrosc. 2021 Feb 15; 247:119076. doi: 10.1016/j.saa.2020.119076. Epub 2020 Oct 21"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 26-12-2024