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1. Quality Assessment of Intact Chicken Breast Fillets Using Factor Analysis with Vis/NIR Spectroscopy

Author:
Yoon, Seung-Chul,   et al.   ; Yang, Yi; Zhuang, Hong; Wang, Wei; Jiang, Hongzhe; Jia, Beibei; Li, Chunyang;     Show all 7 Authors
Source:
Food analytical methods 2018 v.11 no.5 pp. 1356-1366
ISSN:
1936-9751
Subject:
breasts; chickens; drip loss; factor analysis; fillets; least squares; models; near-infrared spectroscopy; pH; prediction; wavelengths
Abstract:
... Factor analysis (FA) method was tested to assess quality of chicken breast fillets with the visible/near-infrared (Vis/NIR) spectroscopy with wavelength range between 400 and 2500 nm. According to inherent correlation, three factors were extracted from the measured eight quality traits (L*, a*, b*, pH, moisture, drip loss, expressible fluid, and salt-induced water gain). The extracted “grade facto ...
DOI:
10.1007/s12161-017-1102-0

2. Tenderness classification of fresh broiler breast fillets using visible and near-infrared hyperspectral imaging

Author:
Yoon, Seung-Chul,   et al.   ; Jiang, Hongzhe; Zhuang, Hong; Wang, Wei; Lawrence, Kurt C.; Yang, Yi;     Show all 6 Authors
Source:
Meat science 2018 v.139 pp. 82-90
ISSN:
0309-1740
Subject:
breast meat; breasts; chicken meat; chickens; discriminant analysis; fillets; hyperspectral imagery; least squares; prediction; principal component analysis; reflectance; shear stress; texture; wavelengths
Abstract:
... The aim of this study was to classify and visualize tenderness of intact fresh broiler breast fillets using hyperspectral imaging (HSI) technique. A total of 75 chicken fillets were scanned by HSI system of 400–1000nm in reflectance mode. Warner-Bratzler shear force (WBSF) value was used as reference tenderness indicator and fillets were grouped into least, moderately and very tender categories ac ...
DOI:
10.1016/j.meatsci.2018.01.013

3. Rapid classification of intact chicken breast fillets by predicting principal component score of quality traits with visible/near-Infrared spectroscopy

Author:
Yoon, Seung-Chul,   et al.   ; Yang, Yi; Zhuang, Hong; Wang, Wei; Jiang, Hongzhe; Jia, Beibei;     Show all 6 Authors
Source:
Food chemistry 2018 v.244 pp. 184-189
ISSN:
0308-8146
Subject:
breasts; chickens; drip loss; fillets; least squares; models; pH; prediction; spectroscopy
Abstract:
... In this study visible/near-infrared spectroscopy (Vis/NIRS) was evaluated to rapidly classify intact chicken breast fillets. Five principal components (PC) were extracted from reference quality traits (L∗, pH, drip loss, expressible fluid, and salt-induced water gain). A quality grades classification method by PC1 score was proposed. With this method, 150 chicken fillets were properly classified i ...
DOI:
10.1016/j.foodchem.2017.09.148

4. Utilisation of visible/near-infrared hyperspectral images to classify aflatoxin B1 contaminated maize kernels

Author:
Yoon, Seung-Chul,   et al.   ; Kimuli, Daniel; Wang, Wei; Lawrence, Kurt C.; Ni, Xinzhi; Heitschmidt, Gerald W.;     Show all 6 Authors
Source:
Biosystems engineering 2018 v.166 pp. 150-160
ISSN:
1537-5110
Subject:
aflatoxin B1; corn; discriminant analysis; hyperspectral imagery; methanol; models; prediction; principal component analysis; seeds; Georgia; Illinois; Indiana; Nebraska
Abstract:
... A visible/near-infrared (VNIR) hyperspectral imaging (HSI) system (400–1000 nm) was used to assess the feasibility of detecting aflatoxin B1 (AFB1) on surfaces of 600 kernels of four maize varieties from different regions of the U.S.A. i.e. Georgia, Illinois, Indiana and Nebraska. For each variety, four AFB1 solutions (10, 20, 100 and 500 ppb) were artificially applied on kernel surfaces. Similarl ...
DOI:
10.1016/j.biosystemseng.2017.11.018

5. Predicting Color Traits of Intact Broiler Breast Fillets Using Visible and Near-Infrared Spectroscopy

Author:
Yoon, Seung-Chul,   et al.   ; Jiang, Hongzhe; Zhuang, Hong; Wang, Wei;     Show all 4 Authors
Source:
Food analytical methods 2017 v.10 no.10 pp. 3443-3451
ISSN:
1936-9751
Subject:
breasts; chickens; color; fillets; meat; models; near-infrared spectroscopy; prediction
Abstract:
... This study was conducted to assess the potential for visible and near-infrared (Vis/NIR) spectroscopy to predict an important quality attribute, color traits, of intact broiler breast fillets (pectoralis major). A total of 214 boneless and skinless chicken fillets were procured from a commercial processing plant. The quantitative calibration models were established between five color trait paramet ...
DOI:
10.1007/s12161-017-0907-1

6. Evaluation of factors in development of Vis/NIR spectroscopy models for discriminating PSE, DFD and normal broiler breast meat

Author:
Yoon, Seung-Chul,   et al.   ; Jiang, Hongzhe; Zhuang, Hong; Wang, Wei; Yang, Yi;     Show all 5 Authors
Source:
British poultry science 2017 v.58 no.6 pp. 673-680
ISSN:
1466-1799
Subject:
breast meat; chicken meat; data collection; drip loss; fillets; models; near-infrared spectroscopy; pH; support vector machines; water holding capacity; wavelengths
Abstract:
... 1. To evaluate the performance of visible and near-infrared (Vis/NIR) spectroscopic models for discriminating true pale, soft and exudative (PSE), normal and dark, firm and dry (DFD) broiler breast meat in different conditions of preprocessing methods, spectral ranges, characteristic wavelength selection and water-holding capacity (WHC) indexes were assessed. 2. Quality attributes of 214 intact ch ...
DOI:
10.1080/00071668.2017.1364350

7. Prediction of pH of fresh chicken breast fillets by VNIR hyperspectral imaging

Author:
Yoon, Seung-Chul,   et al.   ; Jia, Beibei; Zhuang, Hong; Wang, Wei; Li, Chunyang;     Show all 5 Authors
Source:
Journal of food engineering 2017 v.208 pp. 57-65
ISSN:
0260-8774
Subject:
algorithms; breast meat; breasts; chickens; fillets; hyperspectral imagery; least squares; models; muscles; pH; prediction; principal component analysis; wavelengths
Abstract:
... Visible and near-infrared (VNIR) hyperspectral imaging (400–900 nm) was used to evaluate pH of fresh chicken breast fillets (pectoralis major muscle) from the bone (dorsal) side of individual fillets. After the principal component analysis (PCA), a band threshold method was applied to the first principal component (PC1) score image in order to get the region of interest (ROI). Then, the average re ...
DOI:
10.1016/j.jfoodeng.2017.03.023

8. Detection of aflatoxin B1 (AFB1) in individual maize kernels using short wave infrared (SWIR) hyperspectral imaging

Author:
Yoon, Seung-Chul,   et al.   ; Chu, Xuan; Wang, Wei; Ni, Xinzhi; Heitschmidt, Gerald W.;     Show all 5 Authors
Source:
Biosystems engineering 2017 v.157 pp. 13-23
ISSN:
1537-5110
Subject:
Aspergillus flavus; aflatoxin B1; corn; hyperspectral imagery; prediction; principal component analysis; regression analysis; seeds; support vector machines; toxigenic strains; wavelengths
Abstract:
... Short wave infrared hyperspectral imaging (SWIR) (1000–2500 nm) was used to detect aflatoxin B1 (AFB1) in single maize kernels. One hundred and twenty kernels of four varieties artificially inoculated with a toxigenic strain of Aspergillus flavus in the field were examined. Normalisation and principal component analysis (PCA) were applied on average spectra of each kernel to reduce dimensionality ...
DOI:
10.1016/j.biosystemseng.2017.02.005

9. Automatic Counting and Classification of Bacterial Colonies Using Hyperspectral Imaging

Author:
Yoon, Seung-Chul,   et al.   ; Lawrence, Kurt C.; Park, Bosoon;     Show all 3 Authors
Source:
Food and bioprocess technology 2015 v.8 no.10 pp. 2047-2065
ISSN:
1935-5130
Subject:
Shiga toxin-producing Escherichia coli; absorbance; agar; algorithms; cell viability; color; computer software; hyperspectral imagery; image analysis; microbiology; pathogens; texture; wavelengths
Abstract:
... Detection and counting of bacterial colonies on agar plates is a routine microbiology practice to get a rough estimate of the number of viable cells in a sample. There have been a variety of different automatic colony counting systems and software algorithms mainly based on color or gray-scale pictures although manual counting is still common. In microbiology, identification of presumptive-positiv ...
DOI:
10.1007/s11947-015-1555-3

10. Identification of Staphylococcus species with hyperspectral microscope imaging and classification algorithms

Author:
Yoon, Seung-Chul,   et al.   ; Seo, Youngwook; Park, Bosoon; Hinton, Arthur, Jr.; Lawrence, Kurt C.;     Show all 5 Authors
Source:
Journal of food measurement & characterization 2016 v.10 no.2 pp. 253-263
ISSN:
2193-4126
Subject:
Gram-positive bacteria; Staphylococcus; data processing; discriminant analysis; filters; hyperspectral imagery; least squares; support vector machines; wavelengths
Abstract:
... Hyperspectral microscope imaging method was presented as a rapid and efficient tool to classify gram-positive bacteria species. The datacube (1024 × 1024 × 89) were obtained by hyperspectral microscope imaging system, which provided cell images between 450 and 800 nm wavelengths with 4-nm resolution, resulting in 89 contiguous spectral images that were acquired with an acousto-optic tunable filter ...
DOI:
10.1007/s11694-015-9301-0

11. Feasibility of detecting Aflatoxin B1 in single maize kernels using hyperspectral imaging

Author:
Yoon, Seung-Chul,   et al.   ; Wang, Wei; Ni, Xinzhi; Lawrence, Kurt C.; Heitschmidt, Gerald W.; Feldner, Peggy;     Show all 6 Authors
Source:
Journal of food engineering 2015 v.166 pp. 182-192
ISSN:
0260-8774
Subject:
Aspergillus flavus; aflatoxin B1; cadmium; conidia; corn; hyperspectral imagery; image analysis; principal component analysis; seeds; shade; wavelengths
Abstract:
... The feasibility of detecting Aflatoxin B1 (AFB1) in single maize kernel inoculated with Aspergillus flavus conidia in the field, as well as its spatial distribution in the kernels, was assessed using near-infrared hyperspectral imaging (HSI) technique. Firstly, an image mask was applied to a pixel-based image mosaic to remove background and shading. Secondly, bad lines in spectra imaging caused by ...
DOI:
10.1016/j.jfoodeng.2015.06.009

12. Near-infrared hyperspectral imaging for detecting Aflatoxin B1 of maize kernels

Author:
Yoon, Seung-Chul,   et al.   ; Wang, Wei; Lawrence, Kurt C.; Ni, Xinzhi; Heitschmidt, Gerald W.; Feldner, Peggy;     Show all 6 Authors
Source:
Food control 2015 v.51 pp. 347-355
ISSN:
0956-7135
Subject:
Aspergillus flavus; aflatoxin B1; chemical analysis; conidia; corn; data collection; hyperspectral imagery; principal component analysis; seeds; wavelengths
Abstract:
... The feasibility of detecting the Aflatoxin B1 in maize kernels inoculated with Aspergillus flavus conidia in the field was assessed using near-infrared hyperspectral imaging technique. After pixel-level calibration, wavelength dependent offset, the masking method was adopted to reduce the noise and extract region of interest (ROI's) of spectral image, then an explanatory principal component analys ...
DOI:
10.1016/j.foodcont.2014.11.047

13. Evaluation of hides, wet blue and leather using airborne ultrasonics

Author:
Yoon, Seung-Chul,   et al.   ; Liu, Cheng-Kung; Latona, Nicholas P.;     Show all 3 Authors
Source:
Journal of American Leather Chemists Association 2013 v.108 no.4 pp. 128
ISSN:
0002-9726
Subject:
cluster analysis; computer software; farmers; leather; leather tanning; prices; quality control; rural economics; ultrasonic treatment; ultrasonics; United States
Abstract:
... Animal hides are important agricultural commodities closely associated with rural economics and the well being of rural farmers in the United States. Approximately 90% of the hides produced in the United States are being exported, the remaining 10% are mostly tanned into leather. At the present time, however, hides and leather are visually inspected and ranked according to quality, sale price and ...
Handle:
10113/60338

14. Stereo Spectral Imaging System for Plant Health Characterization

Author:
Yoon, Seung-Chul,   et al.   ; Thai, Chi;     Show all 2 Author
Source:
Paper 2009 no.096583
ISSN:
0149-9890
Subject:
plants; plant diseases and disorders; plant health; image analysis; chlorophyll
Abstract:
... Three-dimensional (3D) measurements of whole plants may provide detailed structure information about plant health and also complement existing X-ray systems for the below-ground part. In addition to this structure characterization of plants, spectral information may also biochemically characterize plants' health. A stereo vision technique is a cost-effective and rapid imaging technique for measuri ...
Handle:
10113/40814

15. Development of Hyperspectral Imaging Technique for Salmonella Enteritidis and Typhimurium on Agar Plates

Author:
Yoon, Seung-Chul,   et al.   ; Seo, Young Wook; Park, Bosoon; Hinton, Arthur Jr.; Windham, William R.; Lawrence, K. C.;     Show all 6 Authors
Source:
Applied engineering in agriculture 2014 v.30 no.3 pp. 495-506
ISSN:
0883-8542
Subject:
Salmonella Enteritidis; Salmonella Typhimurium; agar; chicken carcasses; discriminant analysis; engineering; food contamination; foodborne illness; foods; humans; hyperspectral imagery; lysine; microorganisms; multivariate analysis; prediction; principal component analysis; screening; serotypes; support vector machines; xylose
Abstract:
... Salmonella is a common cause of foodborne disease resulting from the consumption of contaminated food products. Although a direct plating method is widely used for presumptive positive screening of pathogenic Salmonella colonies on agar plates, it is labor-intensive, time-consuming, and also prone to human errors. This article reports the development of a hyperspectral imaging technique for automa ...
DOI:
10.13031/aea.30.10435

16. Classification and Structural Analysis of Live and Dead Salmonella Cells Using Fourier Transform Infrared Spectroscopy and Principal Component Analysis

Author:
Yoon, Seung Chul,   et al.   ; Sundaram, Jaya; Park, Bosoon; Hinton, Arthur; Windham, William R.; Lawrence, Kurt C.;     Show all 6 Authors
Source:
Journal of agricultural and food chemistry 2012 v.60 no.4 pp. 991
ISSN:
1520-5118
Subject:
DNA; Fourier transform infrared spectroscopy; RNA; Salmonella enteritidis; Salmonella typhimurium; amides; bacteria; cell differentiation; computer software; crystals; data collection; foodborne infections; model validation; models; principal component analysis; proteins; serotypes; spectral analysis; wavelengths
Abstract:
... Fourier transform infrared spectroscopy (FT-IR) was used to detect Salmonella Typhimurium and Salmonella Enteritidis food-borne bacteria and to distinguish between live and dead cells of both serotypes. Bacteria cells were prepared in 10⁸ cfu/mL concentration, and 1 mL of each bacterium was loaded individually on the ZnSe attenuated total reflection (ATR) crystal surface (45° ZnSe, 10 bounces, and ...
Handle:
10113/59226
DOI:
10.1021/jf204081g
PubMed:
22257216

17. Motion compensated image processing and optimal parameters for egg crack detection using modified pressure

Author:
Yoon, Seung Chul,   et al.   ; Lawrence, Kurt C.; Jones, Deana R.; Heitschmidt, Gerald W.; Park, Bosoon;     Show all 5 Authors
Source:
Sensing and instrumentation for food quality and safety 2011 v.5 no.5 pp. 172-184
ISSN:
1932-7587
Subject:
algorithms; automatic detection; cameras; cracking; egg shell; eggs; image analysis
Abstract:
... Shell eggs with microcracks are often undetected during egg grading processes. In the past, a modified pressure imaging system was developed to detect eggs with microcracks without adversely affecting the quality of normal intact eggs. The basic idea of the modified pressure imaging system was to apply a short burst of vacuum within a transparent chamber in order to cause a momentary and forced op ...
DOI:
10.1007/s11694-012-9124-1

18. Line-scan hyperspectral imaging system for real-time inspection of poultry carcasses with fecal material and ingesta

Author:
Yoon, Seung Chul,   et al.   ; Park, Bosoon; Lawrence, Kurt C.; Windham, William R.; Heitschmidt, Gerald W.;     Show all 5 Authors
Source:
Computers and electronics in agriculture 2011 v.79 no.2 pp. 159-168
ISSN:
0168-1699
Subject:
algorithms; birds; chicken carcasses; computer software; disease detection; feces; humans; hyperspectral imagery; image analysis; meat processing plants; microbial contamination; monitoring; multispectral imagery; pathogens; poultry; sorting; United States
Abstract:
... In poultry processing plants, fecal material and ingesta are the primary source of carcass contamination with microbial pathogens. The current practice of the poultry inspection in the United States is primarily human visual observations. Since the visual inspection is becoming more challenging in poultry processing plants adopting high-speed lines, a rapid sorting system could significantly impro ...
DOI:
10.1016/j.compag.2011.09.008

19. Line-scan hyperspectral imaging for real-time in-line poultry fecal detection

Author:
Yoon, Seung-Chul,   et al.   ; Park, Bosoon; Windham, William R.; Lawrence, Kurt C.; Kim, Moon S.; Chao, Kuanglin;     Show all 6 Authors
Source:
Sensing and instrumentation for food quality and safety 2011 v.5 no.1 pp. 25
Subject:
meat processing; poultry industry; poultry meat; feces; food contamination; meat inspection; hyperspectral imagery; duodenum; cecum; colon; new methods
Abstract:
... The ARS multispectral imaging system with three-band common aperture camera was able to inspect fecal contaminants in real-time mode during poultry processing. Recent study has demonstrated several image processing methods including binning, cuticle removal filter, median filter, and morphological analysis in real-time mode could remove most false positive errors. The ARS research groups (Beltsvil ...
Handle:
10113/49563
DOI:
10.1007/s11694-011-9107-7

20. Determination of basic density and moisture content of loblolly pine wood disks using a near infrared hyperspectral imaging system

Author:
Yoon, Seung-Chul,   et al.   ; Mora, Christian R.; Schimleck, Laurence R.; Thai, Chi N.;     Show all 4 Authors
Source:
Journal of near infrared spectroscopy 2011 v.19 no.5 pp. 401
ISSN:
1751-6552
Subject:
Pinus taeda; cameras; filters; hyperspectral imagery; image analysis; models; near-infrared reflectance spectroscopy; sensors; water content; wavelengths; wood; wood density
Abstract:
... The use of near infrared (NIR) hyperspectral imaging for the estimation of basic density (BD) and moisture content (MC) of loblolly pine (Pinus taeda L.) disks is reported. A total of 125 wood disks, ranging in age from 13 years to 19 years, were analysed. Hyperspectral images were collected using an imaging system composed of an InGaAs camera from Sensors Unlimited, Inc. (sensitive between 1000 n ...
Handle:
10113/54207
DOI:
10.1255/jnirs.948