Article
Chemistry, Multidisciplinary
Mehrvash Varnasseri, Howbeer Muhamadali, Yun Xu, Paul I. C. Richardson, Nick Byrd, David Ellis, Pavel Matousek, Royston Goodacre
Summary: The study explored the use of Raman spectroscopy and SORS technology for the non-destructive detection of adulteration in extra virgin olive oil. Results demonstrated that these methods have significant potential for rapid and accurate analysis.
APPLIED SCIENCES-BASEL
(2021)
Review
Food Science & Technology
Long Wu, Xuemei Tang, Ting Wu, Wei Zeng, Xiangwei Zhu, Bing Hu, Sihang Zhang
Summary: The frequency of food safety incidents has raised global concerns, leading to the development of rapid and sensitive analytical methods for food composition and contaminants analysis. Raman spectroscopy, as a high-profile analytical technique, has been widely used in food analysis due to its simplicity, speed, sensitivity, and nondestructive detection capabilities. Understanding the recent advances and future trends in the application of Raman-based techniques in food safety is crucial.
FOOD RESEARCH INTERNATIONAL
(2023)
Review
Food Science & Technology
Alejandra Arroyo-Cerezo, Ana M. Jimenez-Carvelo, Antonio Gonzalez-Casado, Anastasios Koidis, Luis Cuadros-Rodriguez
Summary: Spatially offset Raman spectroscopy (SORS) technique overcomes the limitations of material analysis through packaging by collecting Raman scattered signals at a spatially offset from the excitation laser spot. With suitable multivariate data analysis, SORS enables rapid and non-invasive measurements through containers for quality control and authentication of raw materials and end products.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2021)
Article
Nanoscience & Nanotechnology
Matthew E. Berry, Samantha M. McCabe, Sian Sloan-Dennison, Stacey Laing, Neil C. Shand, Duncan Graham, Karen Faulds
Summary: This study investigates the capability of using SESORS imaging to determine the exact location of an object within tissue. Experimental factors related to the optical setup are examined to determine their effect on the three-dimensional positioning capability of SESORS. The study introduces the concept of linear offset-induced image drag and emphasizes the importance of an annular SOBS collection geometry in neutralizing these effects. Additionally, the concept of ratiometric SESORS imaging is introduced for locating buried inclusions in three dimensions.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Review
Chemistry, Analytical
Xuhan Xia, Hao Yang, Jijuan Cao, Jiaqi Zhang, Qiang He, Ruijie Deng
Summary: This review outlines the application of isothermal amplification techniques in food safety analysis, including the detection of foodborne pathogens and authenticity analysis, the detection of heavy metals, mycotoxins, and antibiotics, and the imaging methods for in situ analysis of foodborne pathogens enabled by isothermal amplification.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2022)
Article
Chemistry, Analytical
Haithem A. B. Mustafa, Ozan Akkus
Summary: Spatially-offset Raman spectroscopy (SORS) is increasingly popular for detecting analytes through barriers. This study compared two SORS modes, inverse (iSORS) and diffuse (dSORS), for depth-probing Raman spectroscopy applications, finding dSORS to provide stronger signal collection from depth layers while iSORS is more effective in eliminating barrier layer contributions.
VIBRATIONAL SPECTROSCOPY
(2021)
Review
Food Science & Technology
Graciela Artavia, Carolina Cortes-Herrera, Fabio Granados-Chinchilla
Summary: This review provides an overview of selected instrumental analytical techniques and methods used in food analysis, focusing on their applications in food science research. The emphasis is placed on works published in the last five years, with examples showing how multiple techniques are often used simultaneously to solve issues and support data.
Article
Chemistry, Analytical
Ana M. Jimenez-Carvelo, Alejandra Arroyo-Cerezo, Sanae Bikrani, Wenyang Jia, Anastasios Koidis, Luis Cuadros-Rodriguez
Summary: Spatially offset Raman spectroscopy (SORS) is a novel technique that allows measurement of samples through packaging and recovery of spectra without surface layer interference. This study used a portable SORS equipment to measure margarines and fat spreads, and chemometric tools were used for data analysis. The results showed that SORS data outperformed conventional Raman spectroscopy (CRS) in classification models and quantitative analysis, demonstrating the potential of SORS as a fast, non-destructive, and non-invasive analytical technique in food analysis.
MICROCHEMICAL JOURNAL
(2022)
Review
Agriculture, Multidisciplinary
Jian Chen, Yuxi Guo, Xianlong Zhang, Jianghua Liu, Pin Gong, Zhuoqun Su, Lihua Fan, Guoliang Li
Summary: Nanoparticles have small size, high surface activity, and antibacterial and antioxidant properties, making them widely used in the food industry. However, their migration from the environment to food increases the exposure risk to humans. Carbon-based NPs, nanoselenium NPs, and rare earth oxide NPs are three emerging NPs that are commonly used in the food industry. The potential risk mechanisms and absorption pathways of NPs into the human body are discussed.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2023)
Article
Chemistry, Multidisciplinary
Han Cui, Andrew Glidle, Jonathan M. Cooper
Summary: Spatially offset Raman spectroscopy, when integrated with a fiber-coupled spatial heterodyne spectrometer, generates a wavenumber-dependent spatial phase shift to collect Raman spectra from deep within opaque or scattering materials. By processing the spectral image using a single Fourier transform, an order of magnitude improvement in Raman sensitivity is achieved, allowing rapid interfacial analysis of complex constructs based on established biomaterials models.
Article
Nutrition & Dietetics
Alazne Arraztio-Cordoba, Maria Jose Montero-Simo, Rafael A. Araque-Padilla
Summary: Food advertising, especially on packaging, has an impact on children's choices, and some marketing techniques may confuse young consumers. A study conducted in the Spanish market reveals a decrease in the use of regulated nutrition claims, while unregulated soft claims are on the rise. Given that most of the analyzed products are unhealthy, stricter regulations are necessary to create a healthier and more reliable food environment for children.
Article
Food Science & Technology
Ping Shao, Liming Liu, Jiahao Yu, Yang Lin, Haiyan Gao, Hangjun Chen, Peilong Sun
Summary: Research on intelligent packaging, driven by consumer preferences for food safety and reducing resource waste, has brought momentum to the development of freshness indicators. These indicators, as a simple and efficient technology, have great potential in monitoring food freshness without causing damage to the food and packaging in the food supply chain.
TRENDS IN FOOD SCIENCE & TECHNOLOGY
(2021)
Review
Polymer Science
Andres Leobardo Puebla-Duarte, Irela Santos-Sauceda, Francisco Rodriguez-Felix, Rey David Iturralde-Garcia, Daniel Fernandez-Quiroz, Ingrid Daniela Perez-Cabral, Carmen Lizette Del-Toro-Sanchez
Summary: This article discusses the importance and related aspects of using natural cyclodextrins in food packaging. Natural cyclodextrins have an interior with an affinity for hydrophobic molecules and an exterior that interacts with water molecules. They can be used to improve the quality and safety of food packaging and provide monitoring information. The article also discusses the selection of suitable packaging for different situations, solubility and toxicological considerations, characterization techniques, and the effects of forming inclusion complexes with bioactive molecules.
Review
Biology
M. S. Alamri, Akram A. A. Qasem, Abdellatif A. Mohamed, Shahzad Hussain, Mohamed A. Ibraheem, Ghalia Shamlan, Hesham A. Alqah, Ali S. Qasha
Summary: The choice and use of food packaging directly impact food safety and human health. It is important to avoid chemical substances migrating from packaging materials into food to ensure the safety of the food.
SAUDI JOURNAL OF BIOLOGICAL SCIENCES
(2021)
Review
Engineering, Chemical
Mary R. Yan, Sally Hsieh, Norberto Ricacho
Summary: Packaging is an important part of the food industry that is closely related to food quality, safety, and marketing. Traditional food packaging provides protection and storage for food, while advancements in packaging technology have added features to extend the shelf life of food. Consumer demand for environmentally friendly packaging has led to the emergence of sustainable packaging solutions. This article reviews the importance of food packaging in ensuring food quality and safety, explores the development and application of advanced smart, active, and intelligent packaging systems, and discusses the properties of oxygen barriers in packaging.
Article
Food Science & Technology
Hanim Z. Amanah, Salma Sultana Tunny, Rudiati Evi Masithoh, Myoung-Gun Choung, Kyung-Hwan Kim, Moon S. Kim, Insuck Baek, Wang-Hee Lee, Byoung-Kwan Cho
Summary: This study investigates the feasibility of using FT-NIR and FT-IR to predict the content of isoflavones and oligosaccharides in soybean samples. The results show that acceptable prediction models can be developed using FT-NIR, and these models perform better than the models based on FT-IR data. The study also demonstrates the possibility of predicting individual types of components using FT-NIR.
Review
Environmental Sciences
Emmanuel Omia, Hyungjin Bae, Eunsung Park, Moon Sung Kim, Insuck Baek, Isa Kabenge, Byoung-Kwan Cho
Summary: The advanced technologies of precision agriculture, such as remote sensing, IoT, robotic systems, weather forecasting, and GPS, play an important role in the adaptability and sustainable development of agricultural systems. Specifically, multispectral and hyperspectral imaging technologies enable the monitoring of field crop health and the application of spatially and temporally variable agronomic inputs, while remote sensing data fusion technology allows monitoring of changes in different parts of individual plants.
Article
Chemistry, Multidisciplinary
Mohammad Akbar Faqeerzada, Eunsoo Park, Taehyun Kim, Moon Sung Kim, Insuck Baek, Rahul Joshi, Juntae Kim, Byoung-Kwan Cho
Summary: Ginseng has been widely consumed for medicinal and dietary purposes, but climate warming and rising heat waves are negatively impacting its productivity and yield quality. This study demonstrated the potential of fluorescence hyperspectral imaging for early detection and prediction of chlorophyll composition in heat-stressed ginseng plants. The results showed high accuracy in discriminating heat-stressed plants and predicting chlorophyll concentration.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Applied
Zhenfang Liu, Hao Zhou, Min Huang, Qibing Zhu, Jianwei Qin, Moon S. Kim
Summary: In this study, a method of packaged butter adulteration evaluation based on spatially offset Raman spectroscopy (SORS) combined with fast independent component analysis (FastICA) was proposed. The extracted butter Raman features were input into four quantitative analysis models to assess the content of butter adulteration. The results showed that the ensemble model Extra-tree has the best performance.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2023)
Article
Chemistry, Analytical
Rahul Joshi, G. G. Lakshmi Priya, Mohammad Akbar Faqeerzada, Tanima Bhattacharya, Moon Sung Kim, Insuck Baek, Byoung-Kwan Cho
Summary: To address the issue of melamine and cyanuric acid added to pet food, a nondestructive sensing technique using Fourier transform infrared (FT-IR) spectroscopy and machine learning was developed. The 1D CNN model applied to FT-IR spectra achieved superior performance compared to PLSR and PCR models in predicting melamine and cyanuric acid concentrations. Hence, FT-IR spectroscopy with a 1D CNN model serves as a potentially rapid and nondestructive method for identifying toxic chemicals in pet food.
Article
Chemistry, Analytical
Oh-Tae Kwon, Geonwoo Kim, Hyungjin Bae, Jaeyeol Ryu, Sikwan Woo, Byoung-Kwan Cho
Summary: In this study, a simple birefringence measurement system for Hg2Br2 crystal at the millimeter scale was developed based on Brewster's angle. The system can measure the reflected light intensity of the crystal and calculate the ordinary and extraordinary refractive indices and birefringence. The calculated birefringence of the Hg2Br2 crystal showed a 0.64% error compared to the literature value, indicating the potential for evaluating the quality of birefringent single crystals.
Article
Chemistry, Analytical
Hossein Kashani Zadeh, Mike Hardy, Mitchell Sueker, Yicong Li, Angelis Tzouchas, Nicholas MacKinnon, Gregory Bearman, Simon A. Haughey, Alireza Akhbardeh, Insuck Baek, Chansong Hwang, Jianwei Qin, Amanda M. Tabb, Rosalee S. Hellberg, Shereen Ismail, Hassan Reza, Fartash Vasefi, Moon Kim, Kouhyar Tavakolian, Christopher T. Elliott
Summary: This study aims to develop a handheld multimode spectroscopic system for fish quality assessment that is fast, non-destructive, and easy-to-use. Data fusion of visible near infra-red (VIS-NIR) and short wave infra-red (SWIR) reflectance and fluorescence (FL) spectroscopy is applied to classify fish freshness. The study shows that multi-mode spectroscopy achieves 95% accuracy, improving the accuracies of single-mode spectroscopies by 26, 10, and 9% respectively.
Article
Entomology
Sangjun Lee, Hangi Kim, Byoung-Kwan Cho
Summary: A deep learning-based automated image analysis method was developed for the classification of mosquito species. Combining color and fluorescence images improved the classification performance for live mosquitoes. The proposed technique achieved a 97.1% F1-score, demonstrating its potential for automatic measurement of mosquito species and populations in the field.
Article
Entomology
Gildas Niyigena, Sangjun Lee, Soonhwa Kwon, Daebin Song, Byoung-Kwan Cho
Summary: This study developed a real-time thrips detection application optimized for embedded devices. It evaluated the performance of various deep learning models in detecting thrips and used the EfficientDet-D0 model for real-time detection. The application has practical implications for pest control and crop yield improvement.
Review
Agriculture, Dairy & Animal Science
Juntae Kim, Yun-Kil Kwon, Hyoun-Wook Kim, Kuk-Hwan Seol, Byoung-Kwan Cho
Summary: This review provides an updated description of robot technology used in slaughterhouse automation. It introduces the robot technology used in pork and beef slaughterhouses, including visceral laparotomy, carcass preprocessing, and deboning robot technology. The review also discusses a novel slaughter method called meat factory cell (MFC) for small-scale automation, which requires further research for practical application. The study emphasizes the need for new sanitary legislation for robot design and the establishment of standards for slaughterhouse automation. It is important for meeting production demand and optimizing equipment and systems.
Article
Plant Sciences
Muhammad Akbar Andi Arief, Hangi Kim, Hary Kurniawan, Andri Prima Nugroho, Taehyun Kim, Byoung-Kwan Cho
Summary: Chlorophyll fluorescence imaging (CFI) is the latest method used to measure the efficiency of photosynthesis in strawberry plants, providing non-destructive spatiotemporal data. A CFI system was developed in this study to measure the maximum quantum efficiency of photochemistry (Fv/Fm), using a dark adaptation chamber, blue LED light sources, and a monochrome camera with a lens filter. The Fv/Fm values obtained from different treatment groups showed a correlation with a chlorophyll meter, indicating the accuracy of the developed CFI system in capturing the response of strawberry plants to abiotic stresses.
Article
Agronomy
Salma Sultana Tunny, Hary Kurniawan, Hanim Z. Amanah, Insuck Baek, Moon S. Kim, Diane Chan, Mohammad Akbar Faqeerzada, Collins Wakholi, Byoung-Kwan Cho
Summary: Foreign materials in fresh-cut vegetables are a major concern for the industry, and effective detection methods are urgently needed. This study investigated three hyperspectral imaging techniques to distinguish foreign materials in fresh-cut vegetables, and a discriminant analysis model was developed. The SWIR hyperspectral imaging system provided the best detection accuracy, followed by VNIR and fluorescence. The results suggested that the SWIR hyperspectral imaging techniques with the SPA-PLS-DA model could be efficiently used in industrial applications for rapid and nondestructive foreign materials detection in fresh-cut vegetables.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2023)
Article
Spectroscopy
Rahul Joshi, Samir Adhikari, Jong Pil Son, Yudong Jang, Donghan Lee, Byong-Kwan Cho
Summary: Conventional spectroscopic methods such as IR and Raman lack effectiveness in detecting low levels of pesticides or harmful chemicals in food. This study presents a highly sensitive and uniform wafer-scale Au nanogap SERS substrate for quantitative analysis of carbaryl pesticide levels in different food samples. The substrate was able to detect carbaryl up to 3 ppb in concentration with low LOD values. The combination of VIP method and PLSR achieved high predictive accuracy and differentiation ability for different concentrations and adulteration of carbaryl in food samples.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Engineering, Electrical & Electronic
Ajay Kumar Patel, Eun-Sung Park, Hongseok Lee, G. G. Lakshmi Priya, Hangi Kim, Rahul Joshi, Muhammad Akbar Andi Arief, Moon S. Kim, Insuck Baek, Byoung-Kwan Cho
Summary: This study utilized LiDAR 3-D point clouds and deep learning techniques for segmentation and phenotypic trait extraction of sorghum plants. The PointNet++ model outperformed the others with high segmentation accuracy. LiDAR 3-D point cloud combined with deep learning techniques can rapidly and accurately measure the phenotypic traits of sorghum plants.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Proceedings Paper
Agriculture, Multidisciplinary
Jianwei Qin, Oscar Monje, Matthew R. Nugent, Joshua R. Finn, Aubrie E. O'Rourke, Ralph F. Fritsche, Insuck Baek, Diane E. Chan, Moon S. Kim
Summary: This paper presents the development of an automated hyperspectral system for monitoring plant health in NASA's space missions, with a focus on monitoring salad crops. The system uses reflectance and fluorescence imaging in the spectral region of 400-1000 nm. A compact line-scan hyperspectral camera, LED line lights, and a linear translation stage are the major hardware components. Control software was developed using LabVIEW. The system was tested in a growth chamber at NASA Kennedy Space Center and successfully detected drought stress on lettuce leaves.
SENSING FOR AGRICULTURE AND FOOD QUALITY AND SAFETY XIV
(2022)