Article
Biotechnology & Applied Microbiology
Natan De Jesus Pimentel-Filho, Stephan Fuchs, Maria Cristina Baracat-Pereira, Hilario Cuquetto Mantovani, Katharina Riedel, Maria Cristina Dantas Vanetti
Summary: This study investigates the stress response of Staphylococcus aureus to bovicin HC5 using a proteomic approach. The results show that sublethal concentrations of the bacteriocin repress protein synthesis, leading to growth reduction in the bacteria, while inducing certain proteins related to energy-efficient catabolism. This knowledge can help identify potential targets for controlling this pathogen.
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
(2021)
Article
Food Science & Technology
Rui Kang, Bosoon Park, Qin Ouyang, Ni Ren
Summary: An AI-assisted hyperspectral microscopic imaging method was developed to differentiate five common foodborne pathogens simultaneously. By investigating different regions of interest and utilizing a new artificial neural network, the classifier achieved a high accuracy rate of 92.9% for the center ROI dataset. AI-assisted HMI shows promise as an efficient tool for predicting spectra and identifying foodborne pathogens.
Review
Chemistry, Analytical
Shuang Liang, Phanatchakorn Sutham, Kai Wu, Kumar Mallikarjunan, Jian-Ping Wang
Summary: The increasing number of foodborne disease outbreaks has attracted attention from the food industry and regulators. Traditional detection methods are not suitable for rapid detection. Giant magnetoresistance (GMR) biosensors have the potential to revolutionize food surveillance approaches. By utilizing nanotechnology, GMR biosensors can achieve high throughput screening of food samples at a lower cost, and with on-chip microfluidic channels and filtration function, can be fully automatic.
Review
Food Science & Technology
Trond Lovdal, Bjorn Tore Lunestad, Mette Myrmel, Jan Thomas Rosnes, Dagbjorn Skipnes
Summary: Seaweeds have a long history in the human diet in Asia and are becoming more popular in the western world. Edible seaweeds include various species of green, red, and brown macroalgae, which can be consumed fresh or processed. Ensuring microbiological food safety and quality of seaweed products is crucial, along with addressing the emerging trends and challenges in the industry such as antimicrobial resistance and legislation and guidelines.
Review
Food Science & Technology
Dong Han, Jian Chen, Wei Chen, Yanbo Wang
Summary: This review article discusses the severity of Bongkrekic acid (BKA) poisoning and highlights the recent research progress on the pathogenicity and biochemical mechanisms of B. gladioli pv. cocovenenans. It emphasizes the potential global threat of BKA poisoning and the importance of detection and interventions for this foodborne disease.
Article
Food Science & Technology
Nure Alam Siddiky, Md Shahidur Rahman Khan, Md Samun Sarker, Mohammod Kamruj Jaman Bhuiyan, Asheak Mahmud, Md Tanvir Rahman, Monzur Morshed Ahmed, Mohammed A. Samad
Summary: The study among chicken vendors in wet markets in Dhaka, Bangladesh revealed low levels of food safety knowledge and practices. Vendors showed good knowledge and attitude towards hand washing, use of personal protective devices, cleaning of equipment, and waste management, but lacked knowledge on antimicrobial resistance, zoonoses, and foodborne pathogens.
Article
Food Science & Technology
Jiale Zheng, Li Liu, Xiangmei Li, Zhenlin Xu, Zuoqi Gai, Xu Zhang, Hongtao Lei, Xing Shen
Summary: In this study, a rapid and sensitive method for detecting Burkholderia gladioli in food was developed using the CRISPR/Cas12a system combined with recombinant enzyme polymerase amplification (RPA). The optimized RPA-CRISPR/Cas12a assay was able to specifically detect Burkholderia gladioli at a constant temperature without the need for large equipment. The method showed a detection limit of 10(-3) ng/μL at the genomic DNA level and 10(1) CFU/mL at the bacterial quantity level. Real food samples, including rice noodles, fresh white noodles, and glutinous rice flour, were tested, and the method showed a detection limit of 10(1) CFU/mL, 10(2) CFU/mL, and 10(2) CFU/mL, respectively, without any enrichment steps. The entire detection process, including sample pretreatment and DNA extraction, could be completed within one hour. Compared to the qPCR method, the RPA-CRISPR/Cas12a method was simpler and more sensitive, allowing for rapid and easy visual detection of Burkholderia gladioli suitable for field detection.
Review
Chemistry, Analytical
Huiwen Zhang, Shuo Yao, Xiuling Song, Kun Xu, Juan Wang, Juan Li, Chao Zhao, Minghua Jin
Summary: The authors developed a colorimetric-based biosensor for the rapid and reliable detection of Staphylococcus aureus in various samples, with a detection limit as low as 10 CFU mL(-1). This sensor can quantitatively detect S. aureus in spiked water, milk and urine samples within 12 minutes without the need for pre-enrichment or washing steps, showing potential for on-site detection of S. aureus.
Review
Biotechnology & Applied Microbiology
Anderson Assuncao Andrade, Aline Dias Paiva, Alessandra Barbosa Ferreira Machado
Summary: Street foods are popular worldwide and have important socioeconomic and cultural roles. They provide convenient and low-cost meals for urban populations and offer income opportunities for vendors, especially women. However, the microbiological safety of street food is a worldwide concern due to inadequate safety conditions and lack of legal control. This review focuses on the microbiology, safety aspects, and main pathogens of street food, as well as discussing the need for molecular detection to better understand the risks of microbial infection.
JOURNAL OF APPLIED MICROBIOLOGY
(2023)
Review
Agriculture, Multidisciplinary
Jian Li, Feng Zhao, Wenyao Zhan, Zhiqi Li, Liang Zou, Qi Zhao
Summary: Food contamination caused by foodborne pathogens is a major public health concern globally, leading to significant food loss annually. The emergence of antimicrobial resistant bacteria has reignited interest in bacteriophages as antibacterial agents, with their application showing promise in various food production settings. Despite considerable success, challenges remain in terms of technology, environmental safety, and administrative policy for the further development of phage-based antibacterial products.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2022)
Review
Food Science & Technology
Alberto Goncalves Evangelista, Gabriela Maia Danielski, Jessica Audrey Feijo Correa, Caroline Maria de Andrade Cavalari, Isabelle Ramos Souza, Fernando Bittencourt Luciano, Renata Ernlund Freitas de Macedo
Summary: Carnobacterium bacteria have shown potential as probiotics and bioprotective agents, particularly in animal production and the food industry. However, research on human health applications is still in the early stages and there is a lack of in vivo studies, limiting its widespread use.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Article
Chemistry, Applied
Lin Zhao, Huixin Li, Ke Wang, Xuan Li, Chenxi Guo, Hongshun Yang
Summary: This study investigated the effects of a combination of acidic electrolysed water (AEW) and levulinic acid (LA) on organic strawberries. The results showed that this combination method reduced the natural microbiota of strawberries and kept the levels of harmful bacteria below the detection limit. Additionally, it did not significantly affect the physicochemical qualities of the strawberries.
Article
Food Science & Technology
Shuo Yao, Chao Zhao, Mingyu Shang, Juan Li, Juan Wang
Summary: A one-step fluorometric strategy based on nanometal surface energy transfer was developed for facile detection of Staphylococcus aureus. The method controlled the fluorescence signal through nucleic acid hybridization and competitive binding of aptamer, resulting in improved detection limit and linear range for S. aureus. This enzyme-free and label-free strategy shows promise for sensitive and selective S. aureus detection.
FOOD AND CHEMICAL TOXICOLOGY
(2021)
Article
Food Science & Technology
Jinnam Kim, Soeun Park, Jiyoung Lee, Seungjun Lee
Summary: The consumption of fresh produce contributes to a healthier diet, but it also leads to an increase in foodborne diseases caused by pathogens like Escherichia, Listeria, and Salmonella. Previous studies have shown that internalization of these pathogens in fresh produce can pose a risk to public health.
Article
Biochemistry & Molecular Biology
Lin Lin, Pin Zhang, Xiaochen Chen, Wei Hu, Mohamed A. Abdel-Samie, Changzhu Li, Haiying Cui
Summary: This study demonstrated that Poly-L-aspartic acid (PASP) can damage Staphylococcus aureus (S. aureus) biofilms by affecting bacterial adhesion, metabolic activity, and extracellular polymeric substances. The generation of eDNA was reduced by 49.4% after treatment with PASP. Nanoparticles prepared by PASP and hydroxypropyl trimethyl ammonium chloride chitosan showed long-lasting anti-biofilm activity and significant permeation and dispersion effects on biofilms. The sensory properties of chicken breast were not affected by these nanoparticles.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2023)
Article
Agricultural Engineering
Daniel Kimuli, Wei Wang, Kurt C. Lawrence, Seung-Chul Yoon, Xinzhi Ni, Gerald W. Heitschmidt
BIOSYSTEMS ENGINEERING
(2018)
Article
Chemistry, Applied
Yi Yang, Hong Zhuang, Seung-Chul Yoon, Wei Wang, Hongzhe Jiang, Beibei Jia
Article
Spectroscopy
Hongzhe Jiang, Seung-Chul Yoon, Hong Zhuang, Wei Wang, Yufeng Li, Yi Yang
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2019)
Article
Agriculture, Dairy & Animal Science
B. Bowker, H. Zhuang, S. C. Yoon, G. Tasoniero, K. Lawrence
JOURNAL OF APPLIED POULTRY RESEARCH
(2019)
Article
Food Science & Technology
Hongzhe Jiang, Wei Wang, Hong Zhuang, Seung-Chul Yoon, Yi Yang, Xin Zhao
FOOD ANALYTICAL METHODS
(2019)
Article
Agricultural Engineering
Sheng Zou, Yu-Chien Tseng, Alina Zare, Diane L. Rowland, Barry L. Tillman, Seung-Chul Yoon
BIOSYSTEMS ENGINEERING
(2019)
Article
Automation & Control Systems
Beibei Jia, Wei Wang, Xinzhi Ni, Kurt C. Lawrence, Hong Zhuang, Seung-Chul Yoon, Zhixian Gao
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2020)
Review
Food Science & Technology
B. Jia, W. Wang, X. Z. Ni, X. Chu, S. C. Yoon, K. C. Lawrence
WORLD MYCOTOXIN JOURNAL
(2020)
Article
Agriculture, Dairy & Animal Science
Y. Yang, W. Wang, H. Zhuang, S. -C. Yoon, H. Jiang
Summary: Based on the prediction performance of full wavelength partial least square regression (PLSR) models, the spectral range of visible and near-infrared (Vis-NIR) was more suitable for the evaluation of quality traits and grading than the range of near-infrared (NIR). The new key wavelength PLSR models showed good predictive performances, and the quality traits and grades of samples were able to be visualised.
BRITISH POULTRY SCIENCE
(2021)
Article
Engineering, Chemical
Yi Yang, Wei Wang, Hong Zhuang, Seung-Chul Yoon, Brian Bowker, Hongzhe Jiang, Bin Pang
Summary: The study explored the correlation between EF measurements and WB condition in broiler breast fillets, utilizing a deep learning algorithm to predict WB grades based on EF images. Results indicated significant differences in EF measurements among WB categories, with the DLA method achieving an accuracy rate of up to 93.3% in predicting WB grades for fresh fillets.
JOURNAL OF FOOD ENGINEERING
(2021)
Article
Chemistry, Analytical
Seung-Chul Yoon, Brian C. Bowker, Hong Zhuang, Kurt C. Lawrence
Summary: Wooden breast condition is a major meat quality defect in the poultry industry. Current detection methods involve visual and tactile evaluation. This paper presents a sideview imaging system for online detection of wooden breast affected chicken breast fillets, achieving over 95% classification performance.
Article
Chemistry, Multidisciplinary
Soo Chung, Seung-Chul Yoon
Summary: By combining two hyperspectral imaging modalities, the Fusion model demonstrated higher accuracy in detecting foreign material on poultry products compared to single modalities, with a detected accuracy increase of 18% to 38% when compared to VNIR- and SWIR-based detection models.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Analytical
Haicheng Zhang, Beibei Jia, Yao Lu, Seung-Chul Yoon, Xinzhi Ni, Hong Zhuang, Xiaohuan Guo, Wenxin Le, Wei Wang
Summary: This study investigated the dynamic changes of nutrient consumption and AFB(1) accumulation in peanut kernels with fungal colonization using macro hyperspectral imaging technology combined with microscopic imaging. Regression models were developed to predict AFB(1) contents based on hyperspectral data. Time-lapse microscopic images and spectroscopic data were analyzed to reveal temporal patterns of nutrient loss and AFB(1) accumulation. The combination of macro and micro imaging technologies proved to be an effective method for detecting the interaction mechanism of toxigenic fungus infecting peanuts and predicting AFB(1) accumulation quantitatively.
Article
Agronomy
Shudan Guo, Seung-Chul Yoon, Lei Li, Wei Wang, Hong Zhuang, Chaojie Wei, Yang Liu, Yuwen Li
Summary: This paper proposes a deep learning method based on YOLOv4 for the detection of tea buds and their picking points. The method improves detection accuracy through segmentation based on color and depth data. Various improvements are made to the YOLOv4 model to enhance detection accuracy. The proposed method shows promising results in tea bud detection and picking point prediction.
Article
Chemistry, Analytical
Rodrigo Louzada Campos, Seung-Chul Yoon, Soo Chung, Suchendra M. Bhandarkar
Summary: A novel semisupervised hyperspectral imaging technique was developed to detect foreign materials on raw poultry meat. The technique combines hyperspectral imaging and deep learning to accurately identify and localize foreign materials. The results achieved through this study demonstrate the effectiveness and broader significance of the technique.