<i>Detecting Maleic Anhydride in Starch using Line-Scan Hyperspectral Raman Chemical Imaging</i>

2017 ◽  
Author(s):  
Jianwei Qin ◽  
Moon S Kim ◽  
Kuanglin Chao ◽  
Lisa Bellato
Keyword(s):  
Maleic Anhydride ◽  
Chemical Imaging ◽  
Line Scan ◽  
Raman Chemical Imaging

Detecting benzoyl peroxide in wheat flour by line-scan macro-scale Raman chemical imaging

2017 ◽  
Author(s):  
Jianwei Qin ◽  
Moon S. Kim ◽  
Kuanglin Chao ◽  
Maria Gonzalez ◽  
Byoung-Kwan Cho
Keyword(s):  
Benzoyl Peroxide ◽  
Wheat Flour ◽  
Chemical Imaging ◽  
Line Scan ◽  
Macro Scale ◽  
Raman Chemical Imaging

Line-Scan Macro-scale Raman Chemical Imaging for Authentication of Powdered Foods and Ingredients

2015 ◽  
Vol 9 (1) ◽  
pp. 113-123 ◽  
Author(s):  
Jianwei Qin ◽  
Kuanglin Chao ◽  
Moon S. Kim ◽  
Byoung-Kwan Cho
Keyword(s):  
Chemical Imaging ◽  
Line Scan ◽  
Macro Scale ◽  
Raman Chemical Imaging

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

2017 ◽  
Vol 71 (11) ◽  
pp. 2469-2476 ◽  
Author(s):  
Jianwei Qin ◽  
Moon S. Kim ◽  
Kuanglin Chao ◽  
Maria Gonzalez ◽  
Byoung-Kwan Cho
Keyword(s):  
Benzoyl Peroxide ◽  
Wheat Flour ◽  
Imaging System ◽  
Limit Of Detection ◽  
Chemical Imaging ◽  
Quantitative Detection ◽  
Imaging Method ◽  
Powdered Sample ◽  
Line Scan ◽  
Raman Chemical Imaging

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.

A Line-Scan Hyperspectral System for High-Throughput Raman Chemical Imaging

2014 ◽  
Vol 68 (6) ◽  
pp. 692-695 ◽  
Author(s):  
Jianwei Qin ◽  
Kuanglin Chao ◽  
Moon S. Kim
Keyword(s):  
High Throughput ◽  
Chemical Imaging ◽  
Line Scan ◽  
Raman Chemical Imaging

Raman Chemical Imaging of Explosive-Contaminated Fingerprints

2009 ◽  
Vol 63 (11) ◽  
pp. 1197-1203 ◽  
Author(s):  
E. D. Emmons ◽  
A. Tripathi ◽  
J. A. Guicheteau ◽  
S. D. Christesen ◽  
A. W. Fountain
Keyword(s):  
Cross Correlation ◽  
Chemical Imaging ◽  
Correlation Technique ◽  
Bright Field ◽  
Characteristic Region ◽  
Biometric Analysis ◽  
Imaging Results ◽  
Raman Chemical Imaging ◽  
Cross Correlation Technique ◽  
Field Imaging

Raman chemical imaging (RCI) has been used to detect and identify explosives in contaminated fingerprints. Bright-field imaging is used to identify regions of interest within a fingerprint, which can then be examined to determine their chemical composition using RCI and fluorescence imaging. Results are presented where explosives in contaminated fingerprints are identified and their spatial distributions are obtained. Identification of explosives is obtained using Pearson's cosine cross-correlation technique using the characteristic region (500–1850 cm−1) of the spectrum. This study shows the ability to identify explosives nondestructively so that the fingerprint remains intact for further biometric analysis. Prospects for forensic examination of contaminated fingerprints are discussed.

Trends in Raman chemical imaging

2012 ◽  
Vol 1 (2) ◽  
pp. 159-183 ◽  
Author(s):  
Márcia C. Breitkreitz ◽  
Ronei J. Poppi
Keyword(s):  
Chemical Imaging ◽  
Raman Chemical Imaging
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