Literature DB >> 28958550

Rapid qualitative and quantitative determination of food colorants by both Raman spectra and Surface-enhanced Raman Scattering (SERS).

Yu-Jie Ai1, Pei Liang2, Yan-Xiong Wu3, Qian-Min Dong3, Jing-Bin Li3, Yang Bai3, Bi-Jie Xu3, Zhi Yu1, Dejiang Ni1.   

Abstract

Surface Enhanced Raman Scattering (SERS) spectroscopy technology is widely used in materials analysis, environmental monitoring, biomedical, food security and other fields. Flower-shaped silver nanoparticles have been successfully synthesized by a simple aqueous phase silver nitrate reduction by ascorbic acid in the presence of polyvinylpyrrolidone (PVP) surfactant. The nanoparticles diameters were adjusted from 450 to 1000nm with surface protrusions up to 10-25nm. The flower-shaped silver nanostructures obtained were used as stable SERS substrates with high SERS activity for detecting Rhodamine 6G (R6G), at a concentration of only 10-9mol/L, where the SERS signal is still clear. SERS spectroscopy of four different food colorants (e.g. food blue, tartrazine, sunset yellow, acid red) were analysed and the characteristic bands were identified. An improved principle component analysis (PCA) was used for four different food colorants detection, at concentrations down to about 10-8mol/L. Thus, the LOD of food blue, tartrazine, sunset yellow and acid red are 79.285μg/L, 5.3436μg/L, 45.238μg/L and 50.244μg/L, respectively.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Flower-shaped silver nanostructures; Food colorants; PCA; SERS spectroscopy

Mesh:

Substances:

Year:  2017        PMID: 28958550     DOI: 10.1016/j.foodchem.2017.09.019

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  11 in total

1.  SERS based determination of vanillin and its methyl and ethyl derivatives using flower-like silver nanoparticles on a silicon wafer.

Authors:  Pei Liang; Yong Feng Zhou; Ying Chang; Qian-Min Dong; Jie Huang; Bin-Qi Rao; Bo-Yang Chen; Zhi Yu; Dejiang Ni; Zu-Gang Liu; Shang-Zhong Jin
Journal:  Mikrochim Acta       Date:  2019-04-25       Impact factor: 5.833

2.  A molecularly imprinted nanoprobe incorporating Cu2O@Ag nanoparticles with different morphologies for selective SERS based detection of chlorophenols.

Authors:  Yue Li; Yan Wang; Mingchao Wang; Jinyue Zhang; Qingwei Wang; Hongji Li
Journal:  Mikrochim Acta       Date:  2019-12-17       Impact factor: 5.833

Review 3.  Improved food additive analysis by ever-increasing nanotechnology.

Authors:  Jing Zhang; Shui Hu; Yi Du; Ding Cao; Guirong Wang; Zhiqin Yuan
Journal:  J Food Drug Anal       Date:  2020-12-15       Impact factor: 6.157

Review 4.  Analytical and Sample Preparation Techniques for the Determination of Food Colorants in Food Matrices.

Authors:  Konstantina Ntrallou; Helen Gika; Emmanouil Tsochatzis
Journal:  Foods       Date:  2020-01-07

Review 5.  Recent Developments in Surface-Enhanced Raman Spectroscopy and Its Application in Food Analysis: Alcoholic Beverages as an Example.

Authors:  Lijiao Li; Xiaonian Cao; Ting Zhang; Qian Wu; Peng Xiang; Caihong Shen; Liang Zou; Qiang Li
Journal:  Foods       Date:  2022-07-21

6.  Kernel principal component analysis and differential non-linear feature extraction of pesticide residues on fruit surface based on surface-enhanced Raman spectroscopy.

Authors:  Guolong Shi; Xinyi Shen; Huan Ren; Yuan Rao; Shizhuang Weng; Xianghu Tang
Journal:  Front Plant Sci       Date:  2022-07-19       Impact factor: 6.627

7.  Raman Spectroscopy for Pharmaceutical Quantitative Analysis by Low-Rank Estimation.

Authors:  Xiangyun Ma; Xueqing Sun; Huijie Wang; Yang Wang; Da Chen; Qifeng Li
Journal:  Front Chem       Date:  2018-09-10       Impact factor: 5.221

Review 8.  Polarization- and Angular-Resolved Optical Response of Molecules on Anisotropic Plasmonic Nanostructures.

Authors:  Martin Šubr; Marek Procházka
Journal:  Nanomaterials (Basel)       Date:  2018-06-09       Impact factor: 5.076

9.  Machine Learning-Based Heavy Metal Ion Detection Using Surface-Enhanced Raman Spectroscopy.

Authors:  Seongyong Park; Jaeseok Lee; Shujaat Khan; Abdul Wahab; Minseok Kim
Journal:  Sensors (Basel)       Date:  2022-01-13       Impact factor: 3.576

10.  SERSNet: Surface-Enhanced Raman Spectroscopy Based Biomolecule Detection Using Deep Neural Network.

Authors:  Seongyong Park; Jaeseok Lee; Shujaat Khan; Abdul Wahab; Minseok Kim
Journal:  Biosensors (Basel)       Date:  2021-11-30
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