Shim J.-M.,Chungnam National University |
Seo D.-W.,Chungnam National University |
Seo S.,Chungnam National University |
Kim J.-J.,Yeungnam University |
And 4 more authors.
Korean Journal for Food Science of Animal Resources | Year: 2010
Due to the large amount of beef imported from the USA to Korea, Korean consumers have become increasingly interested in the country of origin since it can affect market prices. Previously, Bos indicus and Bos taurus-specific markers were developed for the purpose of cattle breed identification, specifically discrimination of Australian beef. In this study, six SNP markers derived from Illumina 50K bovine SNP chip data were used for the discrimination between Korean cattle (Hanwoo) and imported beef from USA. PCR-RFLP genotyping methods were also developed, which indicates that these markers can be applied relatively easily compared to other markers. Taking into account a discrimination rate of 55% based on MC1R marker between Hanwoo and imported beef from USA, two additional markers, SNPs 23803 and 34776, were ideal and resulted in probability of identification of 0.942 and probability of misjudgment of 0.03. Therefore, the markers developed in this study can greatly contribute to the correct discrimination between beef from USA and Hanwoo beef.
Mo C.,South Korean National Institute of Animal Science |
Kim G.,South Korean National Institute of Animal Science |
Lim J.,South Korean National Institute of Animal Science |
Kim M.S.,U.S. Department of Agriculture |
And 2 more authors.
Sensors (Switzerland) | Year: 2015
Rapid visible/near-infrared (VNIR) hyperspectral imaging methods, employing both a single waveband algorithm and multi-spectral algorithms, were developed in order to discrimination between sound and discolored lettuce. Reflectance spectra for sound and discolored lettuce surfaces were extracted from hyperspectral reflectance images obtained in the 400-1000 nm wavelength range. The optimal wavebands for discriminating between discolored and sound lettuce surfaces were determined using one-way analysis of variance. Multi-spectral imaging algorithms developed using ratio and subtraction functions resulted in enhanced classification accuracy of above 99.9% for discolored and sound areas on both adaxial and abaxial lettuce surfaces. Ratio imaging (RI) and subtraction imaging (SI) algorithms at wavelengths of 552/701 nm and 557-701 nm, respectively, exhibited better classification performances compared to results obtained for all possible two-waveband combinations. These results suggest that hyperspectral reflectance imaging techniques can potentially be used to discriminate between discolored and sound fresh-cut lettuce. © 2015 by the authors; licensee MDPI, Basel, Switzerland.
Oh M.,U.S. Department of Agriculture |
Oh M.,Konkuk University |
Lee H.,U.S. Department of Agriculture |
Cho H.,U.S. Department of Agriculture |
And 4 more authors.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2016
Current meat inspection in slaughter plants, for food safety and quality attributes including potential fecal contamination, is conducted through by visual examination human inspectors. A handheld fluorescence-based imaging device (HFID) was developed to be an assistive tool for human inspectors by highlighting contaminated food and food contact surfaces on a display monitor. It can be used under ambient lighting conditions in food processing plants. Critical components of the imaging device includes four 405-nm 10-W LEDs for fluorescence excitation, a charge-coupled device (CCD) camera, optical filter (670 nm used for this study), and Wi-Fi transmitter for broadcasting real-time video/images to monitoring devices such as smartphone and tablet. This study aimed to investigate the effectiveness of HFID in enhancing visual detection of fecal contamination on red meat, fat, and bone surfaces of beef under varying ambient luminous intensities (0, 10, 30, 50 and 70 foot-candles). Overall, diluted feces on fat, red meat and bone areas of beef surfaces were detectable in the 670-nm single-band fluorescence images when using the HFID under 0 to 50 foot-candle ambient lighting. © 2016 SPIE.
Everard C.D.,University College Dublin |
Kim M.S.,U.S. Department of Agriculture |
Cho H.,Experiment and Research Institute |
O'Donnell C.P.,University College Dublin
Journal of Food Measurement and Characterization | Year: 2016
Food safety in the production of fresh produce for human consumption is a worldwide issue and needs to be addressed to decrease foodborne illnesses and resulting costs. Hyperspectral fluorescence imaging coupled with multivariate image analysis techniques for detection of fecal contaminates on spinach leaves (Spinacia oleracea) was evaluated. Violet fluorescence excitation was provided at 405 nm and light emission was recorded from 464 to 800 nm. Partial least square discriminant analysis and wavelength ratio methods were compared for detection accuracy for fecal contamination. Fluorescence emission profiles of spinach leaves were monitored over a 27 days storage period; peak emission blue-shifts were observed over the storage period accompanying a color change from green to green–yellow–brown hue. The PLSDA model developed correctly detected fecal contamination on 100 % of relatively fresh green spinach leaves used in this investigation, which also had soil contamination. The PLSDA model had 19 % false positives for non-fresh post storage leaves. A wavelength ratio technique using four wavebands (680, 688, 703 and 723 nm) was successful in identifying 100 % of fecal contaminates on both fresh and non-fresh leaves. An on-line fluorescence imaging inspection system for fecal contaminant detection has potential to allow fresh produce producers to reduce foodborne illnesses and prevent against the associated economic losses. © 2015, Springer Science+Business Media New York.
Shukla S.,Yeungnam University |
Lee G.,Yeungnam University |
Song X.,Yeungnam University |
Park J.H.,Yeungnam University |
And 3 more authors.
Scientific Reports | Year: 2016
This study aimed to optimize the applicability of an immunoliposome-based immunomagnetic concentration and separation assay to facilitate rapid detection of Cronobacter sakazakii in powdered infant formula (PIF). To determine the detection limit, specificity, and pre-enrichment incubation time (0, 4, 6, and 8 h), assay tests were performed with different cell numbers of C. sakazakii (2 × 100 and 2 × 101 CFU/ml) inoculated in 10 g of PIF. The assay was able to detect as few as 2 cells of C. sakazakii/10 g of PIF sample after 6 h of pre-enrichment incubation with an assay time of 2 h 30 min. The assay was assessed for cross-reactivity with other bacterial strains and exhibited strong specificity to C. sakazakii. Moreover, the assay method was applied to the detection of C. sakazakii in PIF without pre-enrichment steps, and the results were compared with INC-ELISA and RT-PCR. The developed method was able to detect C. sakazakii in spiked PIF without pre-enrichment, whereas INC-ELISA failed to detect C. sakazakii. In addition, when compared with the results obtained with RT-PCR, our developed assay required lesser detection time. The developed assay was also not susceptible to any effect of the food matrix or background contaminant microflora. © The Author(s) 2016.
PubMed | Yeungnam University, Experiment and Research Institute and Korea Advanced Institute of Science and Technology
Type: | Journal: Scientific reports | Year: 2016
This study aimed to optimize the applicability of an immunoliposome-based immunomagnetic concentration and separation assay to facilitate rapid detection of Cronobacter sakazakii in powdered infant formula (PIF). To determine the detection limit, specificity, and pre-enrichment incubation time (0, 4, 6, and 8h), assay tests were performed with different cell numbers of C. sakazakii (210
Lee K.-S.,Korea Research Institute of Standards and Science |
Yim Y.-H.,Korea Research Institute of Standards and Science |
Kim S.H.,Korea Research Institute of Standards and Science |
Lim Y.,Korea Research Institute of Standards and Science |
And 7 more authors.
20th IMEKO World Congress 2012 | Year: 2012
A proficiency testing scheme for inorganic analysis and its application to agricultural products are presented and discussed to show how Korea Research Institute of Standards and Science (KRISS), the National Metrology Institute of Korea, has provided reliability and traceability of measurements in safety and quality of food through the reference materials. With collaboration between KRISS and the National Agricultural Products Quality Management Service (NAQS), the proficiency testing scheme was developed based on ISO/IEC 17043 for international harmonization. The material, which was prepared by KRISS based on ISO/IEC Guide 34 and 35, was rice powder and the mass fractions of toxic and essential elements were assigned by isotope dilution mass spectrometry. From the converted z-scores, the performances of participants for cadmium and copper measurements were assessed and adequate to the fitness-forpurpose. Copyright © (2012) by the International Measurement Federation (IMEKO).