Research Project: Advancement of Sensing Technologies for Food Safety and Security Applications

Location: Environmental Microbial & Food Safety Laboratory

Publications (Clicking on the reprint icon will take you to the publication reprint.)

Hyperspectral imaging Vis-NIR and SWIR fusion for improved drought-stress identification of strawberry plants - (Peer Reviewed Journal)
Faqeerzada, M.A., Kim, H., Kim, M.S., Baek, I., Chan, D.E., Cho, B. 2025. Hyperspectral imaging Vis-NIR and SWIR fusion for improved drought-stress identification of strawberry plants. Computers and Electronics in Agriculture. 237 Part C. Article e10702. https://doi.org/10.1016/j.compag.2025.110702.

Deep learning approaches for bruised mandarin orange classification via fluorescence hyperspectral imaging - (Peer Reviewed Journal)
Lee, A., Hong, S., Baek, I., Kim, J., Kim, M.S. 2025. Deep learning approaches for bruised mandarin orange classification via fluorescence hyperspectral imaging. Postharvest Biology and Technology. 230:113724. https://doi.org/10.1016/j.postharvbio.2025.113724.

Enhancing bee mite detection with YOLO: the role of data augmentation and stratified sampling - (Peer Reviewed Journal)
Lee, H., Shin, J., Kim, S., Kim, M., Kim, M.S., Lee, H., Mo, C. 2025. Enhancing bee mite detection with YOLO: the role of data augmentation and stratified sampling. Agriculture. 15(11). Article e1221. https://doi.org/10.3390/agriculture15111221.

GLOW-DL: Generalized light-optimized workflow with deep learning for contamination detection using fluorescence imaging in variable conditions - (Peer Reviewed Journal)
Aliee, M., Gorji, H.T., Vasefi, F., Yaggi, K., Qin, J., Baek, I., Kim, M.S., Chan, D.E., Johnson, M., Downs, Z., Marateb, H.R., Tavakolian, K., Liang, B. 2025. GLOW-DL: Generalized light-optimized workflow with deep learning for contamination detection using fluorescence imaging in variable conditions . Journal of Biosystems Engineering. 50:240-254. https://doi.org/10.1007/s42853-025-00262-3.

Characteristics of foot-and-mouth disease (FMD) vaccine-induced abscesses in pork meat and verification of detectability using hyperspectral imaging technique - (Peer Reviewed Journal)
Kim, J., Faqeerzada, M., Kim, M.S., Baek, I., Cho, B. 2025. Characteristics of foot-and-mouth disease (FMD) vaccine-induced abscesses in pork meat and verification of detectability using hyperspectral imaging technique. Food Control. 175:111330. https://doi.org/10.1016/j.foodcont.2025.111330.

Evaluating ripeness in post-harvest stored kiwifruit using VIS-NIR hyperspectral imaging - (Peer Reviewed Journal)
Lee, J., Kim, M., Lee, B., Lee, J., Yang, E., Kim, M.S., Hwang, I., Jeong, C., Mo, C. 2025. Evaluating ripeness in post-harvest stored kiwifruit using VIS-NIR hyperspectral imaging. Postharvest Biology and Technology. 225:113496. https://doi.org/10.1016/j.postharvbio.2025.113496.

Non-destructive identification of microplastics in soil using spectroscopy and hyperspectral imaging - (Peer Reviewed Journal)
Pahlawan, M.F., Kim, Y., Aline, U., Zahroh, A., Masithoh, R.E., Kim, M.S., Baek, I., Cho, B. 2025. Non-destructive identification of microplastics in soil using spectroscopy and hyperspectral imaging. Trends in Analytical Chemistry. 187:118216. https://doi.org/10.1016/j.trac.2025.118216.

A multilevel cooperative attention network of precise quantitative analysis for predicting ractopamine concentration via adaptive weighted feature selection and multichannel feature fusion - (Peer Reviewed Journal)
Yin, T., Peng, Y., Li, Y., Chao, K., Nie, S., Zuo, J. 2025. A multilevel cooperative attention network of precise quantitative analysis for predicting ractopamine concentration via adaptive weighted feature selection and multichannel feature fusion. Food Chemistry. earticle: 464. https://doi.org/10.1016/j.foodchem.2024.141884.

Supervised hyperspectral band selection using texture features for classification of citrus leaf diseases with YOLOv8 - (Peer Reviewed Journal)
Frederick, Q., Burks, T., Watson, J., Yadav, P., Qin, J., Kim, M.S., Dewdney, M. 2025. Supervised hyperspectral band selection using texture features for classification of citrus leaf diseases with YOLOv8. Sensors. 25:1034. https://doi.org/10.3390/s25041034.

Nondestructive intelligent detection of total viable count in pork based on miniaturized spectral sensor - (Peer Reviewed Journal)
Zuo, J., Peng, Y., Li, Y., Yin, T., Chao, K. 2024. Nondestructive intelligent detection of total viable count in pork based on miniaturized spectral sensor. Food Research International. earticle: 197. https://doi.org/10.1016/j.foodres.2024.115184.

Tailored Au@Ag NPs for rapid ractopamine detection in pork: optimizing size for enhanced SERS signals - (Peer Reviewed Journal)
Yin, T., Peng, Y., Li, Y., Nie, S., Li, R., Chen, Y., Zuo, J., Chao, K. 2024. Tailored Au@Ag NPs for rapid ractopamine detection in pork: optimizing size for enhanced SERS signals. Food Bioscience. 59: Article e104082. https://doi.org/10.1016/j.fbio.2024.104082.

Rapid and noncontact identification of soybean flour in edible insect using NIR spectral imager: A case study in Protaetia brevitarsis seulensis powder - (Peer Reviewed Journal)
Hernanda, R., Kim, J., Faqeerzada, M., Cho, B., Kim, M.S., Baek, I., Lee, H. 2024. Rapid and noncontact identification of soybean flour in edible insect using NIR spectral imager: A case study in Protaetia brevitarsis seulensis powder. Food Control. 169. Article e111019. https://doi.org/10.1016/j.foodcont.2024.111019.

Nondestructive measurement of internal potato defects using visible and near-infrared spectral analysis - (Peer Reviewed Journal)
Semyalo, D., Kim, Y., Emmanuel, O., Arief, M., Kim, H., Sim, E., Kim, M.S., Baek, I., Cho, B. 2024. Nondestructive measurement of internal potato defects using visible and near-infrared spectral analysis. Agriculture. 14. Article e14112014. https://doi.org/10.3390/agriculture14112014.

Advance in detection technique of lean meat powder residues in meat using SERS: a review - (Peer Reviewed Journal)
Guo, Q., Peng, Y., Qin, J., Chao, K., Zhao, Z., Yin, T. 2024. Advance in detection technique of lean meat powder residues in meat using SERS: a review. Molecules. 28(22). Article e7504. https://doi.org/10.3390/molecules28227504.

Investigating the detection of peanuts in chopped nut products using hyperspectral imaging systems - (Peer Reviewed Journal)
Vega-Castellote, M., Sanchez, M., Kim, M.S., Hwang, C., Pezez-Marin, D. 2024. Investigating the detection of peanuts in chopped nut products using hyperspectral imaging systems. Journal of Food Engineering. 338:112378. https://doi.org/10.1016/j.jfoodeng.2024.112378.

Detection of citrus black spot fungi Phyllosticta citricarpa and Phyllosticta capitalensis on UV-C fluorescence images using YOLOv8 - (Peer Reviewed Journal)
Yadav, P., Burks, T., Qin, J., Kim, M.S., Dewdney, M., Vasefi, F. 2024. Detection of citrus black spot fungi Phyllosticta citricarpa and Phyllosticta capitalensis on UV-C fluorescence images using YOLOv8. Smart Agricultural Technology. https://doi.org/10.1016/j.atech.2024.100615.

Classification of citrus leaf diseases using hyperspectral reflectance and fluorescence imaging and machine learning techniques - (Peer Reviewed Journal)
Min, H., Qin, J., Yadav, P., Frederick, Q., Burks, T., Dewdney, M., Baek, I., Kim, M.S. 2024. Classification of citrus leaf diseases using hyperspectral reflectance and fluorescence imaging and machine learning techniques. Biosystems Engineering. 10:1124. https://doi.org/ 10.3390/horticulturae10111124.

Classifying adaxial and abaxial sides of diseased citrus leaves with selected hyperspectral bands and YOLOv8 - (Peer Reviewed Journal)
Frederick, Q., Burks, T.F., Yadav, P., Qin, J., Kim, M.S., Dewdney, M.M. 2024. Classifying adaxial and abaxial sides of diseased citrus leaves with selected hyperspectral bands and YOLOv8. Smart Agriculture. https://doi.org/10.1016/j.atech.2024.100600.

Recent methods for evaluating crop qater stress using AI techniques: A review - (Peer Reviewed Journal)
Cho, S., Soleh, H.M., Choi, J., Hwang, W., Lee, H., Cho, B., Kim, M.S., Baek, I., Kim, G. 2024. Recent methods for evaluating crop qater stress using AI techniques: A review. Sensors. 24. Article e6316. https://doi.org/10.3390/s24196313.

Hyperspectral imaging system for pre- and post-harvest defect detection in paprika fruit - (Peer Reviewed Journal)
Faqeerzada, Mohammad, Kim, Ye-Na, Kim, Haeun, Akter, Tanjima, Kim, Hangi, Park, Min-Seok, Kim, M.S., Baek, I., Cho, Byoung-Kwan 2024. Hyperspectral imaging system for pre- and post-harvest defect detection in paprika fruit. Postharvest Biology and Technology. 118. Article e213151. https://doi.org/10.1016/j.postharvbio.2024.113151.

Development of sensing platform for fruit sorting - (Abstract Only)

Visualizing the structural and chemical heterogeneity of fruit and vegetables using advanced imaging techniques: fundamentals, instrumental aspects, applications and future perspectives - (Peer Reviewed Journal)

IR and Raman dual modality markers differentiate among three bis-phenols: BPA, BPS and BPF - (Peer Reviewed Journal)
Chao, K., Schmidt, W.F., Qin, J., Kim, M.S., Tao, F. 2024. IR and Raman dual modality markers differentiate among three bis-phenols: BPA, BPS and BPF. Applied Sciences. 14(14): Article e6064. https://doi.org/10.3390/app14146064.

Dual imaging technique for a real-time inspection system of foreign object detection in fresh-cut vegetables - (Peer Reviewed Journal)
Kurniawana, H., Ariefa, M., Santosh, L., Kim, M.S., Baek, I., Cho, B. 2024. Dual imaging technique for a real-time inspection system of foreign object detection in fresh-cut vegetables. Current Research in Food Science. 9: article 100802. https://doi.org/10.1016/j.crfs.2024.100802.

Deep learning algorithm development for early detection of Botrytis cinerea infected strawberry fruit using hyperspectral fluorescence imaging - (Peer Reviewed Journal)
Chun, S., Song, D., Lee, K., Kim, M., Kim, M.S., Kyoung-Su, K., Mo, C. 2024. Deep learning algorithm development for early detection of Botrytis cinerea infected strawberry fruit using hyperspectral fluorescence imaging. Postharvest Biology and Technology. 214: Article e112918. https://doi.org/10.1016/j.postharvbio.2024.112918.

Prediction of soluble-solid content in citrus fruit using visible–near infrared hyperspectral imaging based on machine learning and effective-wavelength selection algorithm - (Peer Reviewed Journal)
Kim, M., Yu, W., Song, D., Chun, S., Kim, M.S., Lee, A., Kim, G., Mo, C. 2024. Prediction of soluble-solid content in citrus fruit using visible–near infrared hyperspectral imaging based on machine learning and effective-wavelength selection algorithm. Sensors. 24, 1512. https://doi.org/10.3390/s24051512.

Automated classification of citrus disease on fruits and leaves using convolutional neural network (CNN) generated features from hyperspectral images and machine learning classifiers - (Peer Reviewed Journal)
Yadav, P., Burks, T.F., Qin, J., Kim, M.S., Frederick, Q., Dewdney, M.M., Ritenour, M.A. 2024. Automated classification of citrus disease on fruits and leaves using convolutional neural network (CNN) generated features from hyperspectral images and machine learning classifiers. Journal of Applied Remote Sensing (JARS). 18 (1): Article e014512. https://doi.org/10.1117/1.JRS.18.014512.

Detection of aflatoxins in ground maize using a compact and automated Raman spectroscopy with machine learning - (Peer Reviewed Journal)
Kim, Y., Qin, J., Baek, I., Lee, K., Kim, S., Kim, S., Chan, D.E., Herrman, T.J., Kim, N., Kim, M.S. 2023. Detection of aflatoxins in ground maize using a compact and automated Raman spectroscopy with machine learning. Current Research in Food Science. 7: Article e100647. https://doi.org/10.1016/j.crfs.2023.100647.

Selecting hyperspectral bands and extracting features with a custom shallow convolutional neural network to classify citrus peel defects - (Peer Reviewed Journal)
Frederick, Q., Burks, T.F., Watson, A., Yadav, P., Qin, J., Kim, M.S., Ritenour, M.A. 2024. Selecting hyperspectral bands and extracting features with a custom shallow convolutional neural network to classify citrus peel defects. Smart Agricultural Technology. 6: Article e100365. https://doi.org/10.1016/j.atech.2023.100365.

A novel machine learning framework based on a hierarchy of dispute models for the identification of fish species using multi-mode spectroscopy - (Peer Reviewed Journal)
Sueker, M., Daghighi, A., Akhbardesh, A., Mackinnon, N., Bearman, G., Baek, I., Hwang, C., Qin, J., Tabb, A.M., Roungchun, J.B., Hellberg, R.S., Vasefi, F., Kim, M.S., Tavakolian, K., Kashani Zadeh, H. 2023. A novel machine learning framework based on a hierarchy of dispute models for the identification of fish species using multi-mode spectroscopy . Sensors. 23(22): Article e9062. https://doi.org/10.3390/s23229062.

Deep learning-based plant organ segmentation and phenotyping of sorghum plants using LiDAR point cloud - (Peer Reviewed Journal)
Patel, A., Park, E., Lee, H., Priya, G., Kim, H., Joshi, R., Arief, M.A., Kim, M.S., Baek, I., Cho, B. 2023. Deep learning-based plant organ segmentation and phenotyping of sorghum plants using LiDAR point cloud. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16, 8492. https://doi.org/10.1109/JSTARS.2023.3312815.

Federated learning for clients' data privacy assurance in food service industry - (Peer Reviewed Journal)
Gorji, H., Saeedi, M., Zadeh, H., Husairik, K., Mojtaba, S., Qin, J., Chan, D.E., Baaek, I., Kim, M.S., Akhbardeh, A., Mackinnon, N., Vasefi, F., Tavakolian, K. 2023. Federated learning for clients' data privacy assurance in food service industry. Applied Sciences. 13(16):9330. https://doi.org/10.3390/app13169330.

Advancement of non-destructive spectral measurements for the quality of major tropical fruits and vegetables: a review - (Peer Reviewed Journal)
Aline, U., Bhattacharya, T., Faqeerzada, M., Kim, M.S., Baek, I., Cho, B. 2023. Advancement of non-destructive spectral measurements for the quality of major tropical fruits and vegetables: a review. Frontiers in Plant Science. 14:1240361. https://doi.org/10.3389/fpls.2023.1240361.

Hyperspectral imaging techniques for rapid detection of single- and co-contaminant aflatoxins and fumonisins in ground maize - (Peer Reviewed Journal)
Kim, Y., Baek, I., Lee, K., Kim, G., Kim, S., Kim, S., Chan, D.E., Herrman, T., Kim, N., Kim, M.S. 2023. Hyperspectral imaging techniques for rapid detection of single- and co-contaminant aflatoxins and fumonisins in ground maize. Toxins. 15(7):472. https://doi.org/10.3390/toxins15070472.

Proteins and lipids content estimation in soybeans using Raman hyperspectral imaging - (Peer Reviewed Journal)
Aulia, R., Amanah, H., Lee, H., Kim, M.S., Baek, I., Qin, J., Cho, B. 2023. Proteins and lipids content estimation in soybeans using Raman hyperspectral imaging. Frontiers in Plant Science. 14. Article e1167139. https://doi.org/10.3389/fpls.2023.1167139.

Classification of E. coli colony with generative adversarial networks, discrete wavelet transforms and VGG19 - (Peer Reviewed Journal)
Yadav, P., Burks, T.F., Dudhe, K., Frederick, Q., Qin, J., Kim, M.S., Ritenour, M.A. 2023. Classification of E. coli colony with generative adversarial networks, discrete wavelet transforms and VGG19. Veterinary Radiology and Ultrasound. 6(3):146-160.

Proximate content monitoring of black soldier fly larval (Hermetia illucens) dry matter for feed material using short-wave infrared hyperspectral imaging - (Peer Reviewed Journal)
Kim, J., Kurniawan, H., Faqeerzada, M.A., Kim, G., Lee, H., Kim, M.S., Baek, I., Cho, B. 2023. Proximate content monitoring of black soldier fly larval (Hermetia illucens) dry matter for feed material using short-wave infrared hyperspectral imaging. Food Science of Animal Resources. 43(6):1150-1169. https://doi.org/10.5851/kosfa.2023.e33.

A determination method for clenbuterol residue in pork based on optimal particle size gold colloid using SERS - (Peer Reviewed Journal)
Guo, Q., Peng, Y., Chao, K., Qin, J., Chen, Y., Yin, T. 2023. A determination method for clenbuterol residue in pork based on optimal particle size gold colloid using SERS. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 302:1386-1425. https://doi.org/10.1016/j.saa.2023.123097.

A hyperspectral plant health monitoring system for space crop production - (Peer Reviewed Journal)
Qin, J., Monje, O., Nugent, M.R., Finn, J.R., O'Rourke, A.E., Wilson, K.D., Fritsche, R.F., Baek, I., Chan, D.E., Kim, M.S. 2023. A hyperspectral plant health monitoring system for space crop production. Frontiers in Plant Science. 14:1133505. https://doi.org/10.3389/fpls.2023.1133505.

Rapid assessment of fish freshness for multiple supply-chain nodes using multi-mode spectroscopy and fusion-based artificial intelligence - (Peer Reviewed Journal)
Zadeh, H., Hardy, M., Sueker, M., Li, Y., Tzouchas, A., Mackinnon, N., Bearman, G., Haughey, S., Akhbardeh, A., Baek, I., Hwang, C., Qin, J., Tabb, A.M., Hellberg, R., Ismail, S., Reza, H., Vasefi, F., Kim, M.S., Tavakolian, K., Elliott, C.T. 2023. Rapid assessment of fish freshness for multiple supply-chain nodes using multi-mode spectroscopy and fusion-based artificial intelligence. Sensors. 23:5149. https://doi.org/10.3390/s23115149.

Hyperspectral imaging techniques for detection of foreign materials from fresh-Cut vegetables - (Peer Reviewed Journal)
Tunny, S., Kurniawan, H., Amanah, H., Baek, I., Kim, M.S., Chan, D.E., Farqeerzada, M., Wakholi, C., Cho, B. 2023. Hyperspectral imaging techniques for detection of foreign materials from fresh-Cut vegetables. Postharvest Biology and Technology. 201:112373. https://doi.org/10.1016/j.postharvbio.2023.112373.

A multimodal optical sensing system for automated and intelligent food safety inspection - (Peer Reviewed Journal)
Qin, J., Hong, J., Cho, H., Van Kessel, J.S., Baek, I., Chao, K., Kim, M.S. 2023. A multimodal optical sensing system for automated and intelligent food safety inspection. Journal of the ASABE. 66(4):839-849. https://doi.org/10.13031/ja.15526.

Raman spectroscopy and imaging technology - (Book / Chapter)
Qin, J., Chao, K., Kim, M.S. 2023. Raman spectroscopy and imaging technology. Springer Nature. 1089-1097. https://doi.org/10.1007/978-3-031-24861-0_78.

Optical parameters inversion of tissue using spatially resolved diffuse reflection imaging combined with LSTM-attention network - (Peer Reviewed Journal)
Sun, D., Wang, X., Huang, M., Zhu, Q., Qin, J. 2023. Optical parameters inversion of tissue using spatially resolved diffuse reflection imaging combined with LSTM-attention network. Optics Express. 31(6):10260-10272. https://doi.org/10.1364/OE.485235.

Evaluating performance of SORS-based subsurface signal separation methods using statistical replication Monte Carlo simulation - (Peer Reviewed Journal)
Liu, Z., Huang, M., Zhu, Q., Qin, J., Kim, M.S. 2023. Evaluating performance of SORS-based subsurface signal separation methods using statistical replication Monte Carlo simulation. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 293:122520. https://doi.org/10.1016/j.saa.2023.122520.

Packaged butter adulteration evaluation based on spatially offset Raman spectroscopy coupled with FastICA - (Peer Reviewed Journal)
Liu, Z., Zhou, H., Huang, M., Zhu, Q., Qin, J., Kim, M.S. 2023. Packaged butter adulteration evaluation based on spatially offset Raman spectroscopy coupled with FastICA. Journal of Food Composition and Analysis. 117:105149. https://doi.org/10.1016/j.jfca.2023.105149.

Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances - (Review Article)
Omia, E., Bae, H., Park, E., Kim, M.S., Baek, I., Kabenge, I., Cho, B. 2023. Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances. Remote Sensing. 15:354. https://doi.org/10.3390/rs15020354.

Fluorescence hyperspectral imaging for early diagnosis of heat-stressed ginseng plants - (Peer Reviewed Journal)
Faquurzada, M.A., Park, E., Kim, T., Kim, M.S., Baek, I., Joshi, R., Kim, J., Cho, B. 2023. Fluorescence hyperspectral imaging for early diagnosis of heat-stressed ginseng plants. Applied Sciences. 13:31. https://doi.org/10.3390/app13010031.

Raman enhancement effects of gold nanoparticles with different particle sizes on clenbuterol and ractopamine - (Peer Reviewed Journal)
Guo, Q., Peng, Y., Chao, K., Zhuang, Q., Chen, Y. 2022. Raman enhancement effects of gold nanoparticles with different particle sizes on clenbuterol and ractopamine. Vibrational Spectroscopy. 123:103444. https://doi.org/10.1016/j.vibspec.2022.103444.

Citrus disease detection using convolution neural network generated features and softmax classifier on hyperspectral image data - (Peer Reviewed Journal)
Yadav, P., Burks, T.F., Frederick, Q., Qin, J., Kim, M.S., Ritenour, M.A. 2022. Citrus disease detection using convolution neural network generated features and softmax classifier on hyperspectral image data. Frontiers in Plant Science. 13:1043712. https://doi.org/10.3389/fpls.2022.1043712.

Raman enhancement effect of different silver nanoparticles on salbutamol - (Peer Reviewed Journal)
Guo, O., Peng, Y., Chao, K. 2022. Raman enhancement effect of different silver nanoparticles on salbutamol. Heliyon. 8(6):e09576. https://doi.org/10.1016/j.heliyon.2022.e09576.

Deep learning and multiwavelength fluorescence imaging for cleanliness assessment and disinfection in food services - (Peer Reviewed Journal)
Gorji, H., Van Kessel, J.S., Haley, B.J., Husarik, K., Sonnier, J.L., Shahabi, S., Zadeh, H., Chan, D.E., Qin, J., Baek, I., Kim, M.S., Akhbardeh, A., Sohrabi, M., Kerge, B., Mckinnon, N., Vasefi, F., Tavakolian, K. 2022. Deep learning and multiwavelength fluorescence imaging for cleanliness assessment and disinfection in food services. Frontiers in Remote Sensing. https://doi.org/10.3389/fsens.2022.977770.

Unique and redundant spectral fingerprints of docosahexaenoic, alpha-linolenic and gamma-linolenic acids in binary mixtures - (Peer Reviewed Journal)
Schmidt, W.F., Chen, F., Broadhurst, C.L., Qin, J., Crawford, M.A., Kim, M.S. 2022. Unique and redundant spectral fingerprints of docosahexaenoic, alpha-linolenic and gamma-linolenic acids in binary mixtures. Journal of Molecular Liquids. 358:119222. https://doi.org/10.1016/j.molliq.2022.119222.

Detection of fabricated eggs using Fourier Transform Infrared (FT- IR) spectroscopy coupled with multivariate classification techniques - (Peer Reviewed Journal)
Joshi, R., Baek, I., Joshi, R., Kim, M.S., Cho, B. 2022. Detection of fabricated eggs using Fourier Transform Infrared (FT- IR) spectroscopy coupled with multivariate classification techniques. Food Analytical Methods. https://doi.org/10.1016/j.infrared.2022.104163.

Comparative determination of phenolic compounds in Ara-bidopsis Thaliana leaf powder under distinct stress conditions using Fourier-Transform Infrared (FT-IR) and Near-Infrared (FT-NIR) Spectroscopy - (Peer Reviewed Journal)
Joshi, R., Sathasivam, R., Kumar, P., Patel, A.K., Nguyen, B.V., Faqeerzaada, M.A., Park, S., Lee, S., Kim, M.S., Baek, I., Cho, B. 2022. Comparative determination of phenolic compounds in Ara-bidopsis Thaliana leaf powder under distinct stress conditions using Fourier-Transform Infrared (FT-IR) and Near-Infrared (FT-NIR) Spectroscopy. Plants. 11(7):836. https://doi.org/10.3390/plants11070836.

A rapid and precise spectroscopic method for detecting fipronil insecticide on solid surfaces - (Peer Reviewed Journal)
Chao, K., Schmidt, W.F., Qin, J., Kim, M.S. 2022. A rapid and precise spectroscopic method for detecting fipronil insecticide on solid surfaces. Journal of Food Measurement and Characterization. https://doi.org/10.1007/s11694-022-01384-4.

A packaged food internal Raman signal separation method based on spatially offset Raman spectroscopy combined with FastICA - (Peer Reviewed Journal)
Liu, Z., Huang, M., Zhu, Q., Qin, J., Kim, M.S. 2022. A packaged food internal Raman signal separation method based on spatially offset Raman spectroscopy combined with FastICA. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 275:121154. https://doi.org/10.1016/j.saa.2022.121154.

Multispectral wavebands selection for the detection of potential foreign materials in fresh-cut vegetables - (Peer Reviewed Journal)
Tunny, S., Amanah, H., Faqeerzada, M., Wakholi, C., Baek, I., Kim, M.S., Cho, B. 2022. Multispectral wavebands selection for the detection of potential foreign materials in fresh-cut vegetables. Sensors. 22:1775. https://doi.org/10.3390/s22051775.

Estimation of cold stress, plant age, and number of leaves in watermelon plants using image analysis - (Peer Reviewed Journal)
Nabwire, S., Wakholi, C., Faquurzada, M., Arief, M., Kim, M.S., Baek, I., Cho, B. 2022. Estimation of cold stress, plant age, and number of leaves in watermelon plants using image analysis. Frontiers in Plant Science. 13:847225. https://doi.org/10.3389/fpls.2022.847225.

Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery - (Peer Reviewed Journal)
Seokmin, H., Cho, K., Park, S., Kanf, T., Kim, M.S., Nam, G., Pyo, J. 2022. Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery. GIScience and Remote Sensing. 59(1):547-567. https://doi.org/10.1080/15481603.2022.2037887.

Combining deep learning and fluorescence imaging to automatically identify fecal contamination on meat carcasses - (Peer Reviewed Journal)
Gorji, H.T., Shahabi, S.M., Sharma, A., Tamde, L.Q., Husarik, K., Qin, J., Chan, D.E., Baek, I., Kim, M.S., Mackinnon, N., Morro, J., Sokolov, S., Akhbardeh, A., Vasefi, F., Tavakolian, K. 2022. Combining deep learning and fluorescence imaging to automatically identify fecal contamination on meat carcasses. Nature Scientific Reports. 12:2392. https://doi.org/10.1038/s41598-022-06379-1.

Nondestructive prediction of isoflavones and oligosaccharides in intact soybean seed using Fourier transform near-infrared (FT-NIR) and Fourier transform infrared (FT-IR) spectroscopic techniques - (Peer Reviewed Journal)
Amanah, H., Tunny, S.S., Masithoh, R., Choung, M., Kim, K., Kim, M.S., Baek, I., Lee, W., Cho, B. 2022. Nondestructive prediction of isoflavones and oligosaccharides in intact soybean seed using Fourier transform near-infrared (FT-NIR) and Fourier transform infrared (FT-IR) spectroscopic techniques. Foods. https://doi.org/10.3390/foods11020232.

Application of Fourier transform infrared spectroscopy and multivariate analysis methods for the non-destructive evaluation of phenolics compounds in moringa powder - (Peer Reviewed Journal)
Joshi, R., Sathasivam, R., Park, S., Lee, H., Kim, M.S., Baek, I., Cho, B. 2021. Application of Fourier transform infrared spectroscopy and multivariate analysis methods for the non-destructive evaluation of phenolics compounds in moringa powder. Agriculture. https://doi.org/10.3390/agriculture12010010.

Economic analysis of an image-based beef carcass yield estimation system in Korea - (Peer Reviewed Journal)
Wakholi, C., Nabwire, S., Kim, J., Bae, J.H., Baek, I., Kim, M.S., Cho, B. 2021. Economic analysis of an image-based beef carcass yield estimation system in Korea. Animals. 12:7. https://doi.org/10.3390/ani12010007.

Handheld multispectral fluorescence imaging system to detect and disinfect surface contamination - (Peer Reviewed Journal)
Sueker, M., Stromsodt, K., Gorji, H.T., Vesafi, F., Khan, N., Schmidt, T., Varma, R., Mackinnon, N., Sokolov, S., Akhbardeh, A., Qin, J., Chan, D.E., Baek, I., Kim, M.S., Tavakolian, K. 2021. Handheld multispectral fluorescence imaging system to detect and disinfect surface contamination. Sensors. https://doi.org/10.3390/s21217222.