Dr. Kuanglin Chao Profile

Dr. Kuanglin Chao

Agricultural Engineer at Agricultural Research Service

SPIE Involvement:

Conference Program Committee | Author | Editor

Publications (70)

Proceedings Article | 13 June 2023 Presentation + Paper

Development of a multimodal sensing system for automated and intelligent food safety inspection

Jianwei Qin, Moon Kim, Jeehwa Hong, Hyunjeong Cho, Jo Ann Van Kessel, Insuck Baek, Kuanglin Chao

Proceedings Volume 12545, 1254504 (2023) https://doi.org/10.1117/12.2663710

KEYWORDS: Raman spectroscopy, Safety, Sensing systems, Inspection, Data modeling, Biological samples, Bacteria, Fluorescence, Spectrometers, Machine learning

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Proceedings Article | 12 April 2021 Poster + Paper

Spatial scattering Raman spectral characteristics of clenbuterol

Qinghui Guo, Yankun Peng, Yongyu Li, Kuanglin Chao, Feifei Tao

Proceedings Volume 11754, 117540O (2021) https://doi.org/10.1117/12.2587831

KEYWORDS: Raman spectroscopy, Scattering, Raman scattering, Laser scattering, Line scan image sensors, Spectrographs, Shape memory alloys, Nondestructive evaluation, Food inspection, Detection and tracking algorithms

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Proceedings Article | 22 April 2020 Paper

Continuous gradient temperature Raman spectroscopy of polyunsaturated fish lipids provides detailed vibrational analysis and rapid, nondestructive graphical product authentication

C. Leigh Broadhurst, Walter Schmidt, Sagar Dhakal, Jianwei Qin, Kuanglin Chao, Moon Kim

Proceedings Volume 11421, 1142106 (2020) https://doi.org/10.1117/12.2559227

KEYWORDS: Raman spectroscopy, Magnesium, Temperature metrology, Molecules, Liquids, Nondestructive evaluation, Calorimetry, Spectroscopy, Solid state physics, Absorption

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Proceedings Article | 22 April 2020 Presentation + Paper

Online detection of tomato internal and external quality attributes by an optical sensing system

Long Li, Yankun Peng, Yongyu Li, Kuanglin Chao, Sagar Dhakal

Proceedings Volume 11421, 114210T (2020) https://doi.org/10.1117/12.2557058

KEYWORDS: Optical sensing, Sensing systems, Light scattering, Absorption, Image processing, Image quality, Calibration, Image filtering, Detector development, Machine vision

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Proceedings Article | 14 May 2019 Presentation

Food safety and quality applications of line-scan Raman imaging and spectroscopy techniques (Conference Presentation)

Jianwei Qin, Moon Kim, Kuanglin Chao, Jeehwa Hong, Insuck Baek, Sagar Dhakal, Byoung-Kwan Cho

Proceedings Volume 11016, 1101604 (2019) https://doi.org/10.1117/12.2519083

KEYWORDS: Raman spectroscopy, Food inspection, Inspection, Safety, Laser safety, Laser systems engineering, Imaging systems, Laser scattering, Software development, Control systems

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Proceedings Article | 30 April 2019 Paper

Nondestructive rapid detection of benzoyl peroxide in flour based on Raman hyperspectral technique

Yan Li, Yankun Peng, Kuanglin Chao, Jianwei Qin, Sagar Dhakal

Proceedings Volume 11016, 110160G (2019) https://doi.org/10.1117/12.2517454

KEYWORDS: Raman spectroscopy, Quantitative analysis, Visualization, Nondestructive evaluation, Imaging systems, Statistical analysis, Image acquisition, Luminescence, Hyperspectral imaging, Light sources

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Proceedings Article | 30 April 2019 Paper

Authentication of turmeric powder using hyperspectral Raman system

Sagar Dhakal, Kuanglin Chao, Moon Kim, Jianwei Qin

Proceedings Volume 11016, 1101602 (2019) https://doi.org/10.1117/12.2518940

KEYWORDS: Raman spectroscopy, Binary data, Contamination, Imaging systems, Hyperspectral imaging, Image analysis, Statistical analysis, Safety, Spectroscopy, Sensors

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Proceedings Article | 15 May 2018 Presentation + Paper

Non-targeted and targeted Raman imaging detection of chemical contaminants in food powders

Jianwei Qin, Moon Kim, Kuanglin Chao, Sagar Dhakal, Byoung-Kwan Cho

Proceedings Volume 10665, 106650G (2018) https://doi.org/10.1117/12.2304384

KEYWORDS: Raman spectroscopy, Target detection, Imaging spectroscopy, Potassium, Chemical analysis, Safety, Line scan image sensors, Hyperspectral imaging, Imaging systems, Hyperspectral target detection

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Proceedings Article | 15 May 2018 Presentation + Paper

Detection of color dye contamination in spice powder using 1064 nm Raman chemical imaging system

Sagar Dhakal, Kuanglin Chao, Moon Kim, Jianwei Qin, Abigail Bae

Proceedings Volume 10665, 1066509 (2018) https://doi.org/10.1117/12.2303832

KEYWORDS: Raman spectroscopy, Imaging systems, Contamination, Hyperspectral imaging

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Proceedings Article | 15 May 2018 Presentation + Paper

Continuous gradient temperature Raman spectroscopy of unsaturated fatty acids: applications for fish and meat lipids and rendered meat source identification

C. Leigh Broadhurst, Walter Schmidt, Julie Nguyen, Jianwei Qin, Kuanglin Chao, Moon Kim

Proceedings Volume 10665, 1066504 (2018) https://doi.org/10.1117/12.2307528

KEYWORDS: Raman spectroscopy, Proteins, Temperature metrology, Agriculture, Bone, Statistical analysis, Diagnostics, Safety, Spectroscopy, Bioalcohols

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Proceedings Article | 1 May 2017 Presentation + Paper

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

Jianwei Qin, Moon Kim, Kuanglin Chao, Maria Gonzalez, Byoung-Kwan Cho

Proceedings Volume 10217, 1021707 (2017) https://doi.org/10.1117/12.2262660

KEYWORDS: Raman spectroscopy, Imaging spectroscopy, Line scan image sensors, Inspection, Imaging systems, Hyperspectral imaging, Particles, Safety, Image acquisition, Luminescence, Detector development

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Proceedings Article | 1 May 2017 Presentation + Paper

Raman spectroscopy method for subsurface detection of food powders through plastic layers

Sagar Dhakal, Kuanglin Chao, Jianwei Qin, Walter Schmidt, Moon Kim, Diane Chan, Abigail Bae

Proceedings Volume 10217, 1021706 (2017) https://doi.org/10.1117/12.2262102

KEYWORDS: Raman spectroscopy, Chemical analysis, Data modeling, Laser sources, Packaging, Imaging spectroscopy, Statistical analysis, Safety, Statistical modeling, Agriculture, Analytical research

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Proceedings Article | 1 May 2017 Paper

Nondestructive detection of total viable count changes of chilled pork in high oxygen storage condition based on hyperspectral technology

Xiaochun Zheng, Yankun Peng, Yongyu Li, Kuanglin Chao, Jianwei Qin

Proceedings Volume 10217, 102170S (2017) https://doi.org/10.1117/12.2262515

KEYWORDS: Imaging systems, Safety, Visualization, Bacteria, Nondestructive evaluation, Hyperspectral imaging, Visible radiation

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Proceedings Article | 1 May 2017 Paper

Improvement of the Raman detection system for pesticide residues on/in fruits and vegetables

Yan Li, Yankun Peng, Chen Zhai, Kuanglin Chao, Jianwei Qin

Proceedings Volume 10217, 102170U (2017) https://doi.org/10.1117/12.2262534

KEYWORDS: Agriculture, Imaging systems, Statistical analysis, Chaos, Spherical lenses, Detector development, Control systems, Switches, Raman scattering, Surface enhanced Raman spectroscopy

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Proceedings Article | 17 May 2016 Paper

Detection of metanil yellow contamination in turmeric using FT-Raman and FT-IR spectroscopy

Sagar Dhakal, Kuanglin Chao, Jianwei Qin, Moon Kim, Walter Schmidt, Dian Chan

Proceedings Volume 9864, 98640A (2016) https://doi.org/10.1117/12.2223957

KEYWORDS: FT-IR spectroscopy, Contamination, Fourier transforms, Raman spectroscopy, Luminescence, Germanium, Statistical analysis, Chemical analysis, Crystals, Agriculture

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Proceedings Article | 17 May 2016 Paper

Raman spectroscopy-based detection of chemical contaminants in food powders

Kuanglin Chao, Sagar Dhakal, Jianwei Qin, Moon Kim, Abigail Bae

Proceedings Volume 9864, 98640Y (2016) https://doi.org/10.1117/12.2224470

KEYWORDS: Raman spectroscopy, Spatial resolution, Imaging spectroscopy, Spectroscopy, Particles, Imaging systems, Chemical analysis, Image resolution, Binary data, Image analysis

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Proceedings Article | 17 May 2016 Paper

Continuous Gradient Temperature Raman Spectroscopy of the Long Chain Polyunsaturated Fatty Acids Docosapentaenoic (DPA, 22:5n-6) and Docosahexaenoic (DHA; 22:6n-3) from -100 to 20° C

C. Leigh Broadhurst, Walter Schmidt, Moon Kim, Julie Nguyen, Jianwei Qin, Kuanglin Chao, Gary Bauchan, Daniel Shelton

Proceedings Volume 9864, 98640E (2016) https://doi.org/10.1117/12.2225687

KEYWORDS: Raman spectroscopy, Signal processing, Biological research, Biophysics, Calorimetry, Molecular spectroscopy, Molecules, Liquids, Brain, Temperature metrology, Agriculture, Solids

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Proceedings Article | 17 May 2016 Paper

Rapid discrimination of main red meat species based on near-infrared hyperspectral imaging technology

Lu Qiao, Yankun Peng, Kuanglin Chao, Jianwei Qin

Proceedings Volume 9864, 98640U (2016) https://doi.org/10.1117/12.2223296

KEYWORDS: Hyperspectral imaging, Principal component analysis, Data modeling, Near infrared, Statistical modeling, Data acquisition, Statistical analysis, Imaging spectroscopy, Reflectivity, Imaging systems

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Proceedings Article | 17 May 2016 Paper

Line-scan spatially offset Raman spectroscopy for inspecting subsurface food safety and quality

Jianwei Qin, Kuanglin Chao, Moon Kim

Proceedings Volume 9864, 98640C (2016) https://doi.org/10.1117/12.2223746

KEYWORDS: Raman spectroscopy, Safety, Line scan image sensors, Food inspection, Inspection, Shape memory alloys, Neodymium, Charge-coupled devices, Spectrographs, Packaging

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Proceedings Article | 13 May 2015 Paper

Depth of penetration of a 785nm wavelength laser in food powders

Kuanglin Chao, Sagar Dhakal, Jianwei Qin, Moon Kim, Yankun Peng, Walter Schmidt

Proceedings Volume 9488, 94880U (2015) https://doi.org/10.1117/12.2177000

KEYWORDS: Raman spectroscopy, Particles, Chemical analysis, Quantitative analysis, Binary data, Lasers, Statistical analysis, Luminescence, Image processing, Mining

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Proceedings Article | 13 May 2015 Paper

Research on identification and determination of mixed pesticides in apples using surface enhanced Raman spectroscopy

Chen Zhai, Yongyu Li, Yankun Peng, Tianfeng Xu, Sagar Dhakal, Kuanglin Chao, Jianwei Qin

Proceedings Volume 9488, 94880R (2015) https://doi.org/10.1117/12.2176829

KEYWORDS: Surface enhanced Raman spectroscopy, Raman spectroscopy, Silver, Luminescence, Safety, Nondestructive evaluation, Signal detection, Solids, Interference (communication), Electronic filtering

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Residual pesticides in fruits and vegetables have become one of the major food safety concerns around the world. At present, routine analytical methods used for the determination of pesticide residue on the surface of fruits and vegetables are destructive, complex, time-consuming, high cost and not environmentally friendly. In this study, a novel Surface Enhanced Raman Spectroscopy (SERS) method with silver colloid was developed for fast and sensitive nondestructive detection of residual pesticides in fruits and vegetables by using a self-developed Raman system. SERS technology is a combination of Raman spectroscopy and nanotechnology. SERS can greatly enhance the Raman signal intensity, achieve single-molecule detection, and has a simple sample pre-treatment characteristic of high sensitivity and no damage; in recent years it has begun to be used in food safety testing research. In this study a rapid and sensitive method was developed to identify and analyze mixed pesticides of chlorpyrifos, deltamethrin and acetamiprid in apple samples by SERS. Silver colloid was used for SERS measurement by hydroxylamine hydrochloride reduced. The advantages of this method are seen in its fast preparation at room temperature, good reproducibility and immediate applicability. Raman spectrum is highly interfered by noise signals and fluorescence background, which make it too complex to get good result. In this study the noise signals and fluorescence background were removed by Savitzky-Golay filter and min-max signal adaptive zooming method. Under optimal conditions, pesticide residues in apple samples can be detected by SERS at 0.005 μg/cm² and 0.002 μg/cm² for individual acetamiprid and thiram, respectively. When mixing the two pesticides at low concentrations, their characteristic peaks can still be identified from the SERS spectrum of the mixture. Based on the synthesized material and its application in SERS operation, the method represents an ultrasensitive SERS performance in apple samples detection without sample pre-treatment, which indicates that it could be served as a useful means in monitoring pesticide residues.

Proceedings Article | 13 May 2015 Paper

Rapid detection of benzoyl peroxide in wheat flour by using Raman scattering spectroscopy

Juan Zhao, Yankun Peng, Kuanglin Chao, Jianwei Qin, Sagar Dhakal, Tianfeng Xu

Proceedings Volume 9488, 94880S (2015) https://doi.org/10.1117/12.2176830

KEYWORDS: Raman spectroscopy, Luminescence, Spectroscopy, Raman scattering, CCD cameras, Chromatography, Chemical analysis, Data acquisition, Nondestructive evaluation, Spectroscopes

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Benzoyl peroxide is a common flour additive that improves the whiteness of flour and the storage properties of flour products. However, benzoyl peroxide adversely affects the nutritional content of flour, and excess consumption causes nausea, dizziness, other poisoning, and serious liver damage. This study was focus on detection of the benzoyl peroxide added in wheat flour. A Raman scattering spectroscopy system was used to acquire spectral signal from sample data and identify benzoyl peroxide based on Raman spectral peak position. The optical devices consisted of Raman spectrometer and CCD camera, 785 nm laser module, optical fiber, prober, and a translation stage to develop a real-time, nondestructive detection system. Pure flour, pure benzoyl peroxide and different concentrations of benzoyl peroxide mixed with flour were prepared as three sets samples to measure the Raman spectrum. These samples were placed in the same type of petri dish to maintain a fixed distance between the Raman CCD and petri dish during spectral collection. The mixed samples were worked by pretreatment of homogenization and collected multiple sets of data of each mixture. The exposure time of this experiment was set at 0.5s. The Savitzky Golay (S-G) algorithm and polynomial curve-fitting method was applied to remove the fluorescence background from the Raman spectrum. The Raman spectral peaks at 619 cm^-1, 848 cm^-1, 890 cm^-1, 1001 cm^-1, 1234 cm^-1, 1603cm^-1, 1777cm^-1 were identified as the Raman fingerprint of benzoyl peroxide. Based on the relationship between the Raman intensity of the most prominent peak at around 1001 cm^-1 and log values of benzoyl peroxide concentrations, the chemical concentration prediction model was developed. This research demonstrated that Raman detection system could effectively and rapidly identify benzoyl peroxide adulteration in wheat flour. The experimental result is promising and the system with further modification can be applicable for more products in near future.

Proceedings Article | 13 May 2015 Paper

Screening of adulterants in powdered foods and ingredients using line-scan Raman chemical imaging

Jianwei Qin, Kuanglin Chao, Moon Kim

Proceedings Volume 9488, 94880F (2015) https://doi.org/10.1117/12.2176562

KEYWORDS: Raman spectroscopy, Particles, Neodymium, Luminescence, Line scan image sensors, Imaging spectroscopy, Imaging systems, Safety, Acoustics, Chemical analysis

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Proceedings Article | 13 May 2015 Paper

Raman-spectroscopy-based chemical contaminant detection in milk powder

Sagar Dhakal, Kuanglin Chao, Jianwei Qin, Moon Kim

Proceedings Volume 9488, 94880E (2015) https://doi.org/10.1117/12.2176989

KEYWORDS: Raman spectroscopy, Particles, Spatial resolution, Chemical analysis, Quantitative analysis, Binary data, Statistical analysis, Spectral resolution, Chaos, Signal detection

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Proceedings Article | 28 May 2014 Paper

Rapid detection of chlorpyrifos pesticide residue concentration in agro-product using Raman spectroscopy

Sagar Dhakal, Yankun Peng, Yongyu Li, Kuanglin Chao, Jianwei Qin, Leilei Zhang, Tianfeng Xu

Proceedings Volume 9108, 91080O (2014) https://doi.org/10.1117/12.2050137

KEYWORDS: Raman spectroscopy, Luminescence, Algorithm development, Signal processing, Agriculture, Nondestructive evaluation, Chromatography, Electronic filtering, Detection and tracking algorithms, Optical filters

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Proceedings Article | 28 May 2014 Paper

High-throughput Raman chemical imaging for evaluating food safety and quality

Jianwei Qin, Kuanglin Chao, Moon Kim

Proceedings Volume 9108, 91080F (2014) https://doi.org/10.1117/12.2050531

KEYWORDS: Raman spectroscopy, Imaging systems, Imaging spectroscopy, Safety, Line scan image sensors, Beam splitters, Mirrors, Spectrographs, Charge-coupled devices, CCD cameras

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Proceedings Article | 30 May 2013 Paper

DSC and Raman spectra of alpha and beta-Endosulfan plus 60/40 mixture

Walter Schmidt, Julie Nguyen, Jianwei Qin, Moon Kim, Swati Mookherji, Laura McConnell, Cathleen Hapeman

Proceedings Volume 8721, 87210R (2013) https://doi.org/10.1117/12.2018615

KEYWORDS: Raman spectroscopy, Chemical species, Temperature metrology, Agriculture, Calorimetry, Objectives, Aluminum, Glasses, Confocal microscopy, Oxygen

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Proceedings Article | 29 May 2013 Paper

Development of fluorescence based handheld imaging devices for food safety inspection

Hoyoung Lee, Moon Kim, Kuanglin Chao, Alan Lefcourt, Diane Chan

Proceedings Volume 8721, 872109 (2013) https://doi.org/10.1117/12.2018154

KEYWORDS: Inspection, Luminescence, Cameras, Light emitting diodes, Safety, Ultraviolet radiation, Imaging systems, Imaging devices, Optical inspection, Visualization

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Proceedings Article | 29 May 2013 Paper

Development of a Raman chemical image detection algorithm for authenticating dry milk

Jianwei Qin, Kuanglin Chao, Moon Kim

Proceedings Volume 8721, 872102 (2013) https://doi.org/10.1117/12.2015258

KEYWORDS: Raman spectroscopy, Luminescence, Urea, Particles, Imaging spectroscopy, Algorithm development, Chemical analysis, Imaging systems, Image classification, Safety

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Proceedings Article | 29 May 2013 Paper

Investigation of NIR hyperspectral imaging for discriminating melamine in milk powder

Xiaping Fu, Moon Kim, Kuanglin Chao, Jianwei Qin, Jongguk Lim, Hoyoung Lee, Yibin Ying

Proceedings Volume 8721, 87210F (2013) https://doi.org/10.1117/12.2018072

KEYWORDS: Hyperspectral imaging, Near infrared, Particles, Reflectivity, Imaging spectroscopy, Chemical analysis, Safety, Spectroscopy, Imaging systems, Statistical analysis

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Proceedings Article | 29 May 2013 Paper

Optical instrument development for detection of pesticide residue in apple surface

Sagar Dhakal, Yongyu Li, Yankun Peng, Kuanglin Chao, Jianwei Qin

Proceedings Volume 8721, 87210M (2013) https://doi.org/10.1117/12.2015862

KEYWORDS: Raman spectroscopy, Software development, Control systems, Algorithm development, Luminescence, Detector development, LabVIEW, Optical components, Data acquisition, Prototyping

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Proceedings Article | 29 May 2013 Paper

Raman spectroscopy and imaging to detect contaminants for food safety applications

Kuanglin Chao, Jianwei Qin, Moon Kim, Yankun Peng, Diane Chan, Yu-Che Cheng

Proceedings Volume 8721, 87210S (2013) https://doi.org/10.1117/12.2018616

KEYWORDS: Raman spectroscopy, Imaging spectroscopy, Chemical analysis, Urea, Liquids, Spectroscopy, Safety, Statistical analysis, Imaging systems, Particles

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Proceedings Article | 11 May 2012 Paper

Nondestructive prediction of pork freshness parameters using multispectral scattering images

Xiuying Tang, Cuiling Li, Yankun Peng, Kuanglin Chao, Mingwu Wang

Proceedings Volume 8369, 836912 (2012) https://doi.org/10.1117/12.923811

KEYWORDS: Scattering, Multispectral imaging, Calibration, Statistical analysis, Nondestructive evaluation, Light scattering, Image filtering, Imaging systems, Statistical modeling, Nitrogen

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Proceedings Article | 7 May 2012 Paper

Detecting multiple adulterants in dry milk using Raman chemical imaging

Jianwei Qin, Kuanglin Chao, Moon Kim

Proceedings Volume 8369, 83690H (2012) https://doi.org/10.1117/12.918584

KEYWORDS: Raman spectroscopy, Shape memory alloys, Chemical analysis, Particles, Urea, Imaging spectroscopy, Imaging systems, Visualization, Proteins, Binary data

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Proceedings Article | 7 May 2012 Paper

Rapid detection of pesticide residue in apple based on Raman spectroscopy

Yongyu Li, Yunyun Sun, Yankun Peng, Sagar Dhakal, Kuanglin Chao, Qiaoqiao Liu

Proceedings Volume 8369, 83690I (2012) https://doi.org/10.1117/12.918527

KEYWORDS: Raman spectroscopy, Aluminum, Agriculture, Spectroscopy, Signal detection, Nondestructive evaluation, Analytical research, Denoising, Wavelets, Natural surfaces

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Proceedings Article | 5 May 2012 Paper

An investigation of FT-Raman spectroscopy for quantification of additives to milk

Yuche Cheng, Jianwei Qin, Jongguk Lim, Diane Chan, Moon Kim, Kuanglin Chao

Proceedings Volume 8369, 83690W (2012) https://doi.org/10.1117/12.921161

KEYWORDS: Raman spectroscopy, Chemical analysis, Spectroscopy, Urea, Proteins, Imaging systems, Solids, Near infrared, Imaging spectroscopy, Agriculture

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Proceedings Article | 5 May 2012 Paper

Improving prediction of total viable counts in pork based on hyperspectral scattering technique

Feifei Tao, Yankun Peng, Yulin Song, Hui Guo, Kuanglin Chao

Proceedings Volume 8369, 83690A (2012) https://doi.org/10.1117/12.923007

KEYWORDS: Scattering, Hyperspectral imaging, Light scattering, Performance modeling, Imaging systems, Calibration, Safety, Mathematical modeling, Contamination, Nondestructive evaluation

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Proceedings Article | 5 May 2012 Paper

Classification of Korla fragrant pears using NIR hyperspectral imaging analysis

Xiuqin Rao, Chun-Chieh Yang, Yibin Ying, Moon Kim, Kuanglin Chao

Proceedings Volume 8369, 83690Y (2012) https://doi.org/10.1117/12.922686

KEYWORDS: Hyperspectral imaging, Statistical modeling, Packaging, Near infrared, Imaging systems, Reflectivity, Image classification, Algorithm development, Binary data, Agriculture

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Proceedings Article | 5 May 2012 Paper

The development of the line-scan image recognition algorithm for the detection of frass on mature tomatoes

Chun-Chieh Yang, Moon Kim, Pat Millner, Kuanglin Chao, Diane Chan

Proceedings Volume 8369, 836908 (2012) https://doi.org/10.1117/12.918427

KEYWORDS: Contamination, Algorithm development, Line scan image sensors, Detection and tracking algorithms, Luminescence, Hyperspectral imaging, Light emitting diodes, Imaging systems, Safety, Cameras

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