Page Banner

United States Department of Agriculture

Agricultural Research Service

Related Topics

Diane E Chan
Environmental Microbial & Food Safety Laboratory
Agricultural Engineer

Phone: (301) 504-8450 ext. 229
Fax: (301) 504-9466

10300 BALTIMORE AVENUE
BLDG 303 BARC-EAST
BELTSVILLE , MD 207052350


Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)
Hyperspectral fluorescence imaging of animal feces and soil: potential use of fluorescence imaging for assessment of soil fecal contamination and compost maturity -
Cho, H., Lee, H., Kim, S., Kim, D., Park, H., Lefcourt, A.M., Chan, D.E., Kim, M.S. 2016. Hyperspectral fluorescence imaging of animal feces and soil: potential use of fluorescence imaging for assessment of soil fecal contamination and compost maturity. Applied Sciences. 6:246.
Evaluation of turmeric powder adulterated with metanil yellow using FT-Raman and FT-IR spectroscopy -
Dhakal, S., Chao, K., Schmidt, W.F., Qin, J., Kim, M.S., Chan, D.E. 2016. Evaluation of turmeric powder adulterated with metanil yellow using FT-Raman and FT-IR spectroscopy. Foods. 5(2):36-51.
Detection of metanil yellow contamination in turmeric using FT-Raman and FT-IR spectroscopy -
Dhakal, S., Chao, K., Qin, J., Kim, M.S., Schmidt, W.F., Chan, D.E. 2016. Detection of metanil yellow contamination in turmeric using FT-Raman and FT-IR spectroscopy. Proceedings of SPIE 9864, Sensing for Agriculture and Food Quality and Safety VII, 98640A.
Raman spectral imaging for quantitative contaminant evaluation in skim milk powder -
Dhakal, S., Chao, K., Qin, J., Kim, M.S., Chan, D.E. 2016. Raman spectral imaging for quantitative contaminant evaluation in skim milk powder. Journal of Food Measurement and Characterization. 10(2):374-386.
A parameter selection for Raman spectroscopy-based detection of chemical contaminants in food powders -
Dhakal, S., Chao, K., Qin, J., Kim, M.S., Schmidt, W.F., Chan, D.E. 2016. A parameter selection for Raman spectroscopy-based detection of chemical contaminants in food powders. Transactions of the ASABE. 59(2):751-763.
Multispectral fluorescence imaging for detection of bovine feces on Romaine lettuce and baby spinach leaves -
Lee, H., Everard, C., Kang, S., Cho, B., Chao, K., Chan, D.E., Kim, M.S. 2014. Multispectral fluorescence imaging for detection of bovine feces on Romaine lettuce and baby spinach leaves. Biosystems Engineering. 127:125-134.
Differentiation of deciduous-calyx Korla fragrant pears using NIR hyperspectral imaging analysis -
Rao, X., Yang, C., Ying, Y., Kim, M.S., Chan, D.E., Chao, K. 2014. Differentiation of deciduous-calyx Korla fragrant pears using NIR hyperspectral imaging analysis. Transactions of the ASABE. 57:1875-1883.
Raman spectroscopy and imaging to detect contaminants for food safety applications -
Chao, K., Qin, J., Kim, M.S., Peng, Y., Chan, D.E., Cheng, Y. 2013. Raman spectroscopy and imaging to detect contaminants for food safety applications. Proceedings of SPIE 8721, Sensing for Agriculture and Food Quality and Safety V, 87210S.
Multispectral fluorescence image algorithms for detection of frass on mature tomatoes -
Yang, C., Kim, M.S., Millner, P.D., Chao, K., Cho, B., Chan, D.E., Mo, C. 2014. Multispectral fluorescence image algorithms for detection of frass on mature tomatoes. Postharvest Biology and Technology. 93:1-8.
Inspection of fecal contamination on strawberries using line-scan led-induced fluorescence imaging techniques -
Chuang, Y., Yang, C., Kim, M.S., Delwiche, S.R., Lo, Y., Chen, S., Chan, D.E. 2012. Inspection of fecal contamination on strawberries using line-scan led-induced fluorescence imaging techniques. [abstract].
Inspection of fecal contamination on strawberries using line-Scan LED-induced fluorescence imaging techniques -
Chuang, Y., Yang, C., Kim, M.S., Delwiche, S.R., Chen, S., Chan, D.E. 2012. Inspection of fecal contamination on strawberries using line-Scan LED-induced fluorescence imaging techniques. ASABE Annual International Meeting. Paper No. 21337179.
Quantitative detection of pesticide concentration by Raman chemical method -
Chao, K., Qin, J., Kim, M.S., Chan, D.E., Fu, X. 2012. Quantitative detection of pesticide concentration by Raman chemical method. [abstract].
The development of line-scan image recognition algorithms for the detection of frass on mature tomatoes -
Yang, C., Kim, M.S., Millner, P.D., Chao, K., Chan, D.E. 2012. The development of line-scan image recognition algorithms for the detection of frass on mature tomatoes. Proceedings of SPIE. 8369(08):1-7.
An investigation of FT-Raman spectroscopy for quantification of additives to milk -
Cheng, Y., Qin, J., Lim, J., Chan, D.E., Kim, M.S., Chao, K. 2012. An investigation of FT-Raman spectroscopy for quantification of additives to milk. Proceedings of SPIE. 8369:83690W.
Nondestructive imaging technologies for agro-food safety inspection -
Kim, M.S., Chao, K., Lefcourt, A.M., Yang, C., Chan, D.E. 2012. Nondestructive imaging technologies for agro-food safety inspection. [abstract].
Visible to SWIR hyperspectral imaging for produce safety and quality evaluation -
Kim, M.S., Delwiche, S.R., Chao, K., Lefcourt, A.M., Chan, D.E. 2012. Visible to SWIR hyperspectral imaging for produce safety and quality evaluation. Sensing and Instrumentation for Food Quality and Safety. 5(5):155-164.
Red to far-red multispectral fluorescence image fusion for detection of fecal contamination on apples Reprint Icon -
Yang, C., Kim, M.S., Kang, S., Cho, B., Chao, K., Lefcourt, A.M., Chan, D.E. 2011. Red to far-red multispectral fluorescence image fusion for detection of fecal contamination on apples. Journal of Food Engineering. 108:312-319.
Control Interface and Tracking Control System for Automated Poultry Inspection -
Chao, K., Kim, M.S., Chan, D.E. 2014. Control Interface and Tracking Control System for Automated Poultry Inspection. Computer Standards & Interfaces. 36(2):271-277.
Line-scan hyperspectral imaging platform for agro-food safety and quality evaluation: System enhancement and characterization Reprint Icon -
Kim, M.S., Chao, K., Chan, D.E., Jun, W., Lefcourt, A.M., Delwiche, S.R., Lee, K. 2011. Line-scan hyperspectral imaging platform for agro-food safety and quality evaluation: System enhancement and characterization. Transactions of the ASABE. 54(2):703-711.
Development of a Simple Multispectral Algorithm Using a Hyperspectral Line-Scan Imaging System for Detection of Fecal Contamination on Apples -
Yang, C., Kim, M.S., Kang, S., Tao, T., Chao, K., Lefcourt, A.M., Chan, D.E. 2010. Development of a Simple Multispectral Algorithm Using a Hyperspectral Line-Scan Imaging System for Detection of Fecal Contamination on Apples. Sensing and Instrumentation for Food Quality and Safety. 5:10-18.
Vis/NIR line-scan hyperspectral imaging techniques for food safety and quality inspection -
Kim, M.S., Chao, K., Yang, C., Lefcourt, A.M., Chan, D.E. 2010. Vis/NIR line-scan hyperspectral imaging techniques for food safety and quality inspection. Meeting Abstract.
Optical sensing technologies for rapid food safety and quality inspection -
Kim, M.S., Chao, K., Chan, D.E., Jun, W., Lefcourt, A.M., Yang, C. 2010. Optical sensing technologies for rapid food safety and quality inspection. [abstract]. 4th International Symposium on Recent Advances in Food Analysis book of abstracts, p. 182.
Hyperspectral and Multispectral Imaging Technique for Food Quality and Safety Evaluation -
Kim, M.S., Chao, K., Chan, D.E., Yang, C., Lefcourt, A.M., Delwiche, S.R. 2011. Hyperspectral and multispectral imaging technique for food quality and safety evaluation. In: Cho, Y., Kang, S. editors. Emerging Technologies for Food Quality and Food Safety Inspection. New York, N.Y.: CRC Press. p. 207-234.
Hyperspectral Imaging Technologies for Nondestructive Agro-Food Evaluation -
Kim, M.S., Chao, K., Chan, D.E., Yang, C., Lefcourt, A.M., Delwiche, S.R. 2010. Hyperspectral Imaging Technologies for Nondestructive Agro-Food Evaluation. International Symposium on New Sensing Technology for Measuring Agro-Food Quality Proceedings. p. 57-71.
Spectroscopic imaging technologies for online food safety and sanitation inspection -
Kim, M.S., Chao, K., Chan, D.E., Lefcourt, A.M., Yang, C., Qin, J. 2010. Spectroscopic imaging technologies for online food safety and sanitation inspection. [abstract] National Meeting of Institute of Food Technologists/Food Expo.IFT-10 Abstracts, 170-01.
Classification of fecal contamination on leafy greens by hyperspectral imaging -
Yang, C., Kim, M.S., Chao, K., Kang, S., Lefcourt, A.M., Chan, D.E. 2010. Classification of fecal contamination on leafy greens by hyperspectral imaging. Proceedings of SPIE. 7676, 76760F.
Classification of Fecal Contamination on Leafy Greens by Hyperspectral Imaging -
Yang, C., Jun, W., Kim, M.S., Chao, K., Kang, S., Chan, D.E., Lefcourt, A.M. Classification of Fecal Contamination on Leafy Greens by Hyperspectral Imaging. Meeting Proceedings. http://dx.doi.org/10/1117/12.851069.
Microbial biofilm detection on food contact surfaces by macro-scale fluorescence imaging -
Jun, W., Kim, M.S., Cho, B., Millner, P.D., Chao, K., Chan, D.E. 2010. Microbial biofilm detection on food contact surfaces by macro-scale fluorescence imaging. Journal of Food Engineering. 99(3):314-322.
Machine vision system for online wholesomeness inspection of poultry carcasses Reprint Icon -
Yang, C., Chao, K., Kim, M.S., Chan, D.E., Early, H., Bell, M. 2010. Machine vision system for online wholesomeness inspection of poultry carcasses. Poultry Science. 89(6):1252-1264.
Nondestructive sensing technologies for food safety -
Kim, M.S., Chao, K., Chan, D.E., Jun, W., Lee, K., Kang, S., Yang, C., Lefcourt, A.M. 2009. Nondestructive sensing technologies for food safety. International Symposium for Improvement of Agro-Food Safety Proceedings. p. 119-126.
Line-scan imaging for improved high-speed food safety inspection -
Kim, M.S., Chao, K., Chan, D.E., Lefcourt, A.M. 2009. Line-scan imaging for improved high-speed food safety inspection. SPIE News Room Article, 10.1117/2.1200903.1564.
HIGH THROUGHPUT SPECTRAL IMAGING SYSTEM FOR WHOLESOMENESS INSPECTION OF CHICKEN -
Chao, K., Yang, C., Kim, M.S., Chan, D.E. 2008. High throughput spectral imaging system for wholesomeness inspection of chicken. Applied Engineering in Agriculture. 24(4):475-485.
MULTISPECTRAL LINE-SCAN IMAGING SYSTEM FOR SIMULTANEOUS FLUORESCENCE AND REFLECTANCE MEASUREMENTS OF APPLES: MULTITASK APPLE INSPECTION SYSTEM -
Kim, M.S., Lee, K., Chao, K., Lefcourt, A.M., Jun, W., Chan, D.E. 2008. Multispectral line-scan imaging system for simultaneous fluorescence and reflectance measurements of apples: multitask apple inspection system. Sensing and Instrumentation for Food Quality and Safety. 2(2):123-129.
DETECTION OF FECAL/INGESTA CONTAMINANTS ON POULTRY PROCESSING EQUIPMENT SURFACES BY VISIBLE AND NEAR-INFRARED REFLECTANCE SPECTROSCOPY -
Chao, K., Nou, X., Liu, Y., Kim, M.S., Chan, D.E., Yang, C., Patel, J.R., Sharma, M. 2008. Detection of fecal/ingesta contaminants on poultry processing equipment surfaces by visible and near-infrared reflectance spectroscopy. Applied Engineering in Agriculture. 24(11):49-55.
HYPERSPECTRAL/MULTISPECTRAL LINE-SCAN IMAGING SYSTEM FOR AUTOMATED POULTRY CARCASS INSPECTION APPLICATIONS FOR FOOD SAFETY -
Chao, K., Yang, C., Chen, Y.R., Kim, M.S., Chan, D.E. 2007. Hyperspectral/multispectral line-scan imaging system for automated poultry carcass inspection applications for food safety. Poultry Science. 86(11):2450-2460.
HYPERSPECTRAL REFLECTANCE AND FLUORESCENCE LINE-SCAN IMAGING FOR ONLINE QUALITY AND SAFETY INSPECTION OF APPLES -
Kim, M.S., Chen, Y.R., Cho, B., Chao, K., Lefcourt, A.M., Chan, D.E. 2007. Hyperspectral reflectance and fluorescence line-scan imaging for online quality and safety inspection of apples. Sensing and Instrumentation for Food Quality and Safety. 1(3):151-159.
Fast Line-Scan Imaging System For Broiler Carcass Inspection -
Chao, K., Yang, C., Chen, Y.R., Kim, M.S., Chan, D.E. 2007. Fast Line-Scan Imaging System For Broiler Carcass Inspection. Jrnl of Sensing and Instrumentation for Food Quality and Safety. 1:62-71.
DEVELOPMENT OF SIMPLE ALGORITHMS FOR THE DETECTION OF FECAL CONTAMINANTS ON APPLES FROM VISIBLE / NEAR INFRAED HYPERSPECTRAL REFLECTANCE IMAGING -
Liu, Y., Chen, Y.R., Kim, M.S., Chan, D.E., Lefcourt, A. M. 2007. Development of simple algorithms for the detection of fecal contaminants on apples from visible/near infrared hyperspectral reflectance imaging. Jrnl. of Food Eng. 81:412-418.
DEVELOPMENT OF ONLINE LINE-SCAN IMAGING SYSTEM FOR CHICKEN INSPECTION AND DIFFERENTIATION -
Yang, C., Chan, D.E., Chao, K., Chen, Y.R., Kim, M.S. 2006. Development of online line-scan imaging system for chicken inspection and differentiation. Proceedings of SPIE. 6381:Y1-Y10.
POULTRY CARCASS INSPECTION BY A FAST LINE-SCAN IMAGING SYSTEM: RESULTS FROM IN-PLANT TESTING -
Chao, K., Yang, C., Chen, Y.R., Chan, D.E., Kim, M.S. 2006. Poultry carcass inspection by a fast line-scan imaging system: results from in-plant testing. Proceedings of SPIE. 6381:Q1-Q10.
DETECTION OF FECAL / INGESTA CONTAMINANTS AT SLAUGHTER PLANTS FROM A NUMBER OF CHARACTERISTIC VISIBLE AND NEAR INFRARED BANDS -
Liu, Y., Chao, K., Chen, Y.R., Nou, X., Chan, D.E., Yang, C. 2006. Detection of fecal / ingesta contaminants at slaughter plants from a number of characteristic visible and near infrared bands. Proceedings of SPIE. 6381:6381OU-1 - 6381OU-9.
COMPARISON OF VISIBLE AND NEAR INFRARED REFLECTANCE SPECTROSCOPY FOR THE DETECTION OF FAECES/INGESTA CONTAMINANTS FOR SANITATION VERIFICATION AT SLAUGHTER PLANTS -
Liu, Y.D., Chao, K., Chen, Y.R., Kim, M.S., Nou, X., Chan, D.E., Yang, C. 2006. Comparison of visible and near infrared reflectance spectroscopy for the detection of faeces/ingesta contaminants for sanitation verification at slaughter plants. Near Infrared Spectroscopy Journal. 14:325-331.
DEVELOPMENT OF FUZZY LOGIC-BASED DIFFERENTIATION ALGORITHM AND FAST LINE-SCAN IMAGING SYSTEM FOR CHICKEN INSPECTION -
Yang, C., Chao, K., Chen, Y.R., Kim, M.S., Chan, D.E. 2006. Development of fuzzy logic-based differentiation algorithm and fast line-scan imaging system for chicken inspection. Biosystems Engineering. 95(4):483-496.
DEVELOPMENT OF TWO-BAND COLOR-MIXING TECHNIQUE FOR IDENTIFICATION OF BROILER CARCASS CONDITIONS -
Chao, K., Chen, Y.R., Ding, F., Yang, C., Chan, D.E. 2007. Development of two-band color-mixing technique for identification of broiler carcass conditions. Journal of Food Engineering. 80(1):276-283.
DEVELOPMENT OF HYPERSPECTRAL IMAGING TECHNIQUE FOR THE DETECTION OF CHILLING INJURY IN CUCUMBERS -
Liu, Y., Chen, Y.R., Wang, C.Y., Chan, D.E., Kim, M.S. 2004. Development of hyperspectral imaging technique for the detection of chilling injury in cucumbers. In: Chen, Y.R., Tu, S.I, editors. Proceedings of Nondestructive Sensing for Food Safety, Quality, and Natural Resources. The International Society for Optical Engineering Conference, October 26-27, 2004, Philadelphia, Pennsylvania. p. 18-28.
DEVELOPMENT OF HYPERSPECTRAL IMAGING TECHNIQUE FOR THE DETECTION OF CHILLING INJURY IN CUCUMBERS: PART I. SPECTRAL ANALYSIS -
Liu, Y., Chen, Y.R., Wang, C.Y., Chan, D.E., Kim, M.S. 2005. Development of hyperspectral imaging technique for the detection of chilling injury in cucumbers: Part I. Spectral Analysis. Applied Engineering in Agriculture. 22:101-111.
DEVELOPMENT OF HYPERSPECTRAL IMAGING TECHNIQUE FOR THE DETECTION OF CHILLING INJURY IN CUCUMBERS: SPECTRAL AND IMAGE ANALYSIS -
Liu, Y., Chen, Y.R., Wang, C.-Y., Chan, D.C., Kim, M.S. 2006. Development of hyperspectral imaging technique for the detection of chilling injury in cucumbers; spectral and image analysis. Applied Eng. in Agric. 22:(1):101-111.
TWO-COLOR MIXING FOR CLASSIFYING AGRICULTURAL PRODUCTS FOR SAFETY AND QUALITY -
Ding, F., Chen, Y.R., Chao, K., Chan, D.E. 2006. Two-color mixing for classifying agricultural products for safety and quality. Applied Optics. 45(4):668-677.
CHARACTERIZING WHOLESOME AND UNWHOLESOME CHICKENS BY CIELUV COLOR DIFFERENCE -
Chao, K., Chen, Y.R., Ding, F., Chan, D. E. 2005. Characterizing wholesome and unwholesome chickens by CIELUV color diffference. Applied Engineering in Agriculture. 21(4):653-659.
DEVELOPMENT OF SIMPLE ALGORITHM FOR THE DETECTION OF CHILLING INJURY IN CUCUMBERS FROM VISIBLE/NEAR INFRARED HYPERSPECTRAL IMAGING -
Liu, Y., Chen, Y.R., Wang, C.Y., Chan, D.E., Kim, M.S. 2005. Development of simple algorithm for the detection of chilling injury in cucumbers from visible/near infrared hyperspectral imaging. Applied Spectroscopy. 59:136-143.
DEVELOPMENT OF HYPERSPECTRAL IMAGING TECHNIQUE FOR THE DETECTION OF CHILLING INJURY IN CUCUMBERS: PART II. IMAGE ANALYSIS -
CHARACTERIZING WHOLESOME AND UNWHOLESOME CHICKENS BY CIELUV COLOR DIFFERENCE -
Chao, K., Chen, Y.R., Ding, F., Chan, D.E. 2004. Characterizing wholesome and unwholesome chickens by cieluv color difference. ASAE Annual International Meeting. ASAE Paper No. 043101.
A SPECTROSCOPIC SYSTEM FOR HIGH-SPEED INSPECTION OF POULTRY CARCASSES -
Chao, K., Chen, Y.R., Chan, D.E., 2004. A spectroscopic system for high-speed inspection of poultry carcasses. Applied Engineering in Agriculture. 20(5):683-690.
SPECTROSCOPIC DETECTION OF ABNORMALITY IN CHICKEN LIVER AS AN INSPECTION TOOL -
Dey, B.P., Chan, D.E., Chen, Y.R., Gwozdz, F.B. 2003. Spectroscopic detection of abnormality in chicken liver as an inspection tool. SPIE Proceedings entitled: Monitoring Food, Safety, Agriculture, and Plant Health. 5271:43-50.
ANALYSIS OF VIS/NIR SPECTRAL VARIATIONS OF WHOLESOME, SEPTICEMIA, AND CADAVER CHICKEN SAMPLES -
CHAO, K., CHEN, Y.R., CHAN, D.E. ANALYSIS OF VIS/NIR SPECTRAL VARIATIONS OF WHOLESOME, SEPTICEMIA, AND CADAVER CHICKEN SAMPLES. APPLIED ENGINEERING IN AGRICULTURE. 2003.
ANALYSIS OF VIS/NIR SPECTRAL VARIATIONS OF WHOLESOME AND UNWHOLESOME CHICKEN MEAT -
Chao, K., Chen, Y.R., Chan, D.E., Kang, S. 2003. Analysis of vis/nir spectral variations of wholesome and unwholesome chicken meat. ASAE Annual International Meeting. 19(4): 453-458.
DETECTION OF SEPTICEMIA IN CHICKEN LIVERS BY SPECTROSCOPY -
DEY, B.P., CHEN, Y.R., HSIEH, C., CHAN, D.E. DETECTION OF SEPTICEMIA IN CHICKEN LIVERS BY SPECTROSCOPY. POULTRY SCIENCE. 82:199-206. 2003.
MULTISPECTRAL DETECTION OF FECAL CONTAMINATION ON APPLES BASED ON HYPERSPECTRAL IMAGERY - PART II: APPLICATION OF HYPERSPECTRAL FLUORESCENCE IMAGING -
Kim, M.S., Lefcourt, A.M., Chen, Y.R., Kim, I., Chan, D.E., Chao, K. 2002. Multispectral detection of fecal contamination on apples based on hyperspectral imagery - part ii: application of hyperspectral fluorescence imaging. Transactions of the ASAE. 46(2):2039-2047.
MULTISPECTRAL DETECTION OF FECAL CONTAMINATION ON APPLES BASED ON HYPERSPECTRAL IMAGERY - PART I: APPLICATION OF VISIBLE-NEAR INFRARED REFLECTANCE IMAGING -
KIM, M.S., CHAO, K., CHEN, Y.R., CHAN, D.E., KIM, I., LEFCOURT, A.M. MULTISPECTRAL DETECTION OF FECAL CONTAMINATION ON APPLES BASED ON HYPERSPECTRAL IMAGERY - PART I: APPLICATION OF VISIBLE-NEAR INFRARED REFLECTANCE IMAGING. TRANSACTIONS OF THE AMERICAN SOCIETY OF AGRICULTURAL ENGINEERS. 2002.
SEPARATING SEPTICEMIC AND NORMAL CHICKEN LIVERS BY VISIBLE/NEAR INFRARED SPECTROSCOPY AND BACK-PROPAGATION NEURAL NETWORKS -
HSIEH, C., CHEN, Y.R., DEY, B.P., CHAN, D.E. SEPARATING SEPTICEMIC AND NORMAL CHICKEN LIVERS BY VISIBLE/NEAR INFRARED SPECTROSCOPY AND BACK-PROPAGATION NEURAL NETWORKS. TRANSACTIONS OF THE AMERICAN SOCIETY OF AGRICULTURAL ENGINEERS. 45(2):459-469. 2002.
HYPERSPECTRAL IMAGING SYSTEM FOR FOOD SAFETY: DETECTION OF FECAL CONTAMINATION ON APPLES -
Last Modified: 5/2/2016
Footer Content Back to Top of Page