Literature DB >> 28485617

Quantitative Detection of Benzoyl Peroxide in Wheat Flour Using Line-Scan Macroscale Raman Chemical Imaging.

Jianwei Qin1, Moon S Kim1, Kuanglin Chao1, Maria Gonzalez2, Byoung-Kwan Cho3.   

Abstract

A high-throughput Raman chemical imaging method was developed for direct inspection of benzoyl peroxide (BPO) mixed in wheat flour. A 5 W, 785 nm line laser (240 mm long and 1 mm wide) was used as a Raman excitation source in a push-broom Raman imaging system. Hyperspectral Raman images were collected in a wavenumber range of 103-2881 cm-1 from dry wheat flour mixed with BPO at eight concentrations (w/w) from 50 to 6400 ppm. A sample holder with a sampling volume of 150 × 100 × 2 mm3 was used to present a thin layer (2 mm thick) of the powdered sample for line-scan image acquisition with a spatial resolution of 0.2 mm. A baseline correction method based on adaptive iteratively reweighted penalized least squares was used to remove the fluctuating fluorescence signals from the wheat flour. To isolate BPO particles from the flour background, a simple thresholding method was applied to the single-band fluorescence-free images at a unique Raman peak wavenumber (i.e., 1001 cm-1) preselected for the BPO detection. Chemical images were created to detect and map the BPO particles. Limit of detection for the BPO was estimated in the order of 50 ppm, which is on the same level with regulatory standards. Pixel concentrations were calculated from the percentages of the BPO pixels in the chemical images. High correlation was found between the pixel concentrations and the mass concentrations of the BPO, indicating that the Raman chemical imaging method can be used for quantitative detection of the BPO mixed in the wheat flour.

Entities:  

Keywords:  Adulteration; Benzoyl peroxide; Chemical imaging; Food authentication; Raman spectroscopy; Wheat flour

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Year:  2017        PMID: 28485617     DOI: 10.1177/0003702817706690

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  2 in total

1.  Calibration and testing of a Raman hyperspectral imaging system to reveal powdered food adulteration.

Authors:  Santosh Lohumi; Hoonsoo Lee; Moon S Kim; Jianwei Qin; Lalit Mohan Kandpal; Hyungjin Bae; Anisur Rahman; Byoung-Kwan Cho
Journal:  PLoS One       Date:  2018-04-30       Impact factor: 3.240

2.  Highly Sensitive Detection of Benzoyl Peroxide Based on Organoboron Fluorescent Conjugated Polymers.

Authors:  Mingyuan Yin; Caiyun Zhang; Jing Li; Haijie Li; Qiliang Deng; Shuo Wang
Journal:  Polymers (Basel)       Date:  2019-10-11       Impact factor: 4.329

  2 in total

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