Article
Microbiology
Su-Hyeon Kim, Damilare Emmanuel Adeyemi, Mi-Kyung Park
Summary: KFS-EC3 is a polyvalent and lytic phage that can efficiently infect various bacteria, making it suitable for pathogen control in foods.
Article
Biotechnology & Applied Microbiology
Ann C. Vegdahl, W. Clifton Baldwin, Donald W. Schaffner
Summary: This study compared six growth models for three types of bacteria (Salmonella, pathogenic E. coli, and Listeria monocytogenes), and found that different models gave significantly different predictions for the same bacteria. However, the ability of the models to rank risk by truck was generally consistent.
Article
Food Science & Technology
Phillip Luu, Vijay Singh Chhetri, Marlene E. Janes, Joan M. King, Achyut Adhikari
Summary: The study showed that low concentrations of gaseous chlorine dioxide can effectively reduce pathogen levels on strawberries and blueberries, with significant disinfection effects on E. coli O157:H7, Listeria monocytogenes, and Salmonella. The reduction in pathogen levels varied with treatment time depending on the type of pathogen.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Sarah H. Klass, Laura E. Sofen, Zachary F. Hallberg, Tahoe A. Fiala, Alexandra Ramsey, Nicholas S. Dolan, Matthew B. Francis, Ariel L. Furst
Summary: Pathogenic E. coli strains are a significant threat to public health, causing both foodborne illnesses and urinary tract infections. By using a rapid bioconjugation reaction and electrochemical impedance spectroscopy, we can selectively capture and accurately quantify these pathogenic microbes on a disposable gold electrode.
CHEMICAL COMMUNICATIONS
(2021)
Article
Biophysics
Yaqian Chen, Jiaqi Ma, Xuechi Yin, Ziai Deng, Xiaojing Liu, Di Yang, Lei Zhao, Jing Sun, Jianlong Wang, Daohong Zhang
Summary: An immersible amplification dip-stick immunoassay (DSIA) using multifunctional nanocomposites was developed for the sensitive detection of Salmonella typhimurium (S. typhi) and Escherichia coli O157:H7 (E. coli O157:H7). The reporter molecule, CoFe2O4 (CFO), possessed superior catalase-like activity and magnetic properties. It enabled a simple and highly sensitive detection with a dual-visible mode. The DSIA achieved matrix-interference-free detection with a dynamic range of 102-108 CFU/mL and a low assay limit of 102 CFU/mL, and showed reasonable recovery rates for contamination monitoring in milk and beef samples.
BIOSENSORS & BIOELECTRONICS
(2023)
Article
Biotechnology & Applied Microbiology
Smriti Shringi, Haiqing Sheng, Andrew A. Potter, Scott A. Minnich, Carolyn J. Hovde, Thomas E. Besser
Summary: Oral immunization with live stx-negative LEE+ E. coli O157:H7 in cattle reduces the colonization of wild-type E. coli O157:H7 strains at the rectoanal junction and shortens the shedding duration.
APPLIED AND ENVIRONMENTAL MICROBIOLOGY
(2021)
Article
Chemistry, Analytical
Ting Zheng, Xianming Li, Ya-Ni Xie, Bin Yang, Peng Wu
Summary: This study proposes a dual-gene RPA-LFA method to selectively detect E. coli O157:H7 by recognizing target amplicons and eliminating false positives. The assay shows high sensitivity and specificity for the detection of this pathogen.
ANALYTICAL CHEMISTRY
(2023)
Article
Food Science & Technology
Man-Seok Choi, Eun Bi Jeon, Ji Yoon Kim, Eun Ha Choi, Jun Sup Lim, Jinsung Choi, Shin Young Park
Summary: The efficacy of dielectric barrier discharge (DBD) plasma treatment for reducing non-pathogenic Escherichia coli and E. coli O157:H7 in oysters was studied. Exposure to DBD plasma for at least 60 minutes resulted in significant reductions in both types of bacteria, with minimal impact on the glycogen content and texture of the oysters. This non-thermal intervention could be a promising method for improving the safety of fresh oysters.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Food Science & Technology
Jutanat Srisamran, Edward R. Atwill, Rungtip Chuanchuen, Saharuetai Jeamsripong
Summary: This study investigated bacterial and pathogen contamination in vegetables from markets and supermarkets in Bangkok, identifying predictors associated with contamination. It highlights the importance of monitoring and surveillance for pathogen contamination in produce to enhance food safety.
FOOD QUALITY AND SAFETY
(2022)
Article
Food Science & Technology
Jutanat Srisamran, Edward R. Atwill, Rungtip Chuanchuen, Saharuetai Jeamsripong
Summary: Produce-associated food-borne outbreaks are becoming increasingly important globally. This study investigated the contamination of retail produce from fresh markets and supermarkets in Bangkok with indicator bacteria and pathogens such as Salmonella, Shigella, E. coli O157:H7, and L. monocytogenes. The study found high concentrations of indicator bacteria, higher in produce from fresh markets and produced using conventional methods. The prevalence of Salmonella contamination was linked to the rainy season, conventional agriculture, sweet basil, and certain storage practices.
FOOD QUALITY AND SAFETY
(2022)
Article
Biochemistry & Molecular Biology
Meihong Cai, Gang Zhang, Changzhu Li, Xiaochen Chen, Haiying Cui, Lin Lin
Summary: This study introduced pomegranate peel polyphenols embedded in chitosan to prepare antibacterial nanofibers, showing effective inhibition of bacterial growth on food surfaces (e.g. E. coli) without affecting food quality. By adding different concentrations of polyphenols and polysaccharides, the properties of nanofibers can be controlled to enhance encapsulation rate and tensile strength.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2021)
Article
Food Science & Technology
Shuhong Zhang, Yuanbin Huang, Moutong Chen, Guangzhu Yang, Jumei Zhang, Qingping Wu, Juan Wang, Yu Ding, Qinghua Ye, Tao Lei, Yue Su, Rui Pang, Runshi Yang, Youxiong Zhang
Summary: This study systematically characterized E. coli O157:non-H7 strains isolated from retail food in Chinese markets. The strains displayed diverse H serotypes, virulence genes, and antibiotic resistance. Some strains also harbored plasmid-mediated colistin-resistant genes, which is a significant concern.
INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY
(2022)
Article
Veterinary Sciences
Aklilu Feleke Haile, Silvia Alonso, Nega Berhe, Tizeta Bekele Atoma, Prosper N. Boyaka, Delia Grace
Summary: This study estimated the prevalence and antimicrobial resistance of Escherichia coli O157:H7 in raw beef sold in butcher shops in Addis Ababa, Ethiopia. Out of the 384 samples examined, 3.64% carried E. coli O157:H7, with 57.14% of the isolates showing resistance to three or more antimicrobial agents. Thus, stricter monitoring of antimicrobial use and further studies on contamination sources and risk mitigation strategies are needed.
FRONTIERS IN VETERINARY SCIENCE
(2022)
Article
Biophysics
Bin Chen, Qin Tao, Songtao OuYang, Minhui Wang, Yuanjian Liu, Xiaohui Xiong, Songqin Liu
Summary: This study demonstrates that E. coli O157:H7 can electrochemically catalyze oxygen reduction at the cathode of bipolar electrode (BPE), resulting in electrochemiluminescence (ECL) reporting intensity change at the anode. Most food matrix does not exhibit catalytic activity for electrochemical reduction of O-2, and their interference with the ECL reaction at the anode is negligible. A low detection limit of 10 CFU mL(-1) for E. coli O157:H7 can be achieved within 1 hour using this system, making it an excellent tool for rapid detection of electroactive bacteria in food.
BIOSENSORS & BIOELECTRONICS
(2023)
Article
Multidisciplinary Sciences
Alka Rani, Vivek B. Ravindran, Aravind Surapaneni, Esmaeil Shahsavari, Nagalakshmi Haleyur, Nitin Mantri, Andrew S. Ball
Summary: The study presents a rapid, simple, specific, sensitive, and portable method for detecting E. coli O157:H7 in food and water. Evaluating the effect of gene selection using rfbE, fliC, and stx gene targets, the method showed differences in detection limits and specificity. This RPA-LFA method could be a potential rapid and effective alternative to conventional methods for monitoring E. coli O157:H7 in food and water.
SCIENTIFIC REPORTS
(2021)
Article
Agronomy
Maria Gabriela Mariduena-Zavala, Andrea Freire-Penaherrera, Juan Manuel Cevallos-Cevallos, Esther Lilia Peralta
EUROPEAN JOURNAL OF PLANT PATHOLOGY
(2017)
Article
Plant Sciences
Carlos Riera-Ruiz, Jonathan Castro-Lara, Maria Isabel Jimenez-Feijoo, Juan Manuel Cevallos-Cevallos
CANADIAN JOURNAL OF PLANT PATHOLOGY
(2018)
Article
Food Science & Technology
Juan Manuel Cevallos-Cevallos, Laura Gysel, Maria Gabriela Mariduena-Zavala, Maria Jose Molina-Miranda
JOURNAL OF FOOD QUALITY
(2018)
Article
Limnology
L. Riascos, A. N. Geerts, T. Ona, P. Goethals, J. Cevallos-Cevallos, W. Vanden Berghe, F. A. M. Volckaert, J. Bonilla, K. Muylaert, E. Velarde, P. Boets, Christine Van der Heyden
Article
Food Science & Technology
Susana Llivisaca, Patricia Manzano, Jenny Ruales, Jose Flores, Joffre Mendoza, Esther Peralta, Juan M. Cevallos-Cevallos
FOOD SCIENCE & NUTRITION
(2018)
Article
Plant Sciences
Juan M. Cevallos-Cevallos, Cristina Jines, Maria G. Mariduena-Zavala, Maria J. Molina-Miranda, Daniel E. Ochoa, Jose A. Flores-Cedeno
APPLICATIONS IN PLANT SCIENCES
(2018)
Article
Agronomy
Maria Gabriela Mariduena-Zavala, Andrea Freire-Penaherrera, Rodrigo Fernando Espinoza-Lozano, Mirian Villavicencio-Vasquez, Maria Jimenez-Feijoo, Juan Manuel Cevallos-Cevallos
EUROPEAN JOURNAL OF PLANT PATHOLOGY
(2019)
Article
Agronomy
Rosa Vilaplana, Cristina Cifuentes, Luis Vaca, Juan Manuel Cevallos-Cevallos, Silvia Valencia-Chamorro
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2020)
Article
Plant Sciences
Jorge Ugarte Fajardo, Oswaldo Bayona Andrade, Ronald Criollo Bonilla, Juan Cevallos-Cevallos, Maria Mariduena-Zavala, Daniel Ochoa Donoso, Jose Luis Vicente Villardon
APPLICATIONS IN PLANT SCIENCES
(2020)
Review
Agronomy
Fredy P. Carrera, Carlos Noceda, Maria G. Mariduena-Zavala, Juan M. Cevallos-Cevallos
Summary: Metabolomics is a technology crucial for explaining the biochemical state of plants and their responses to abiotic stresses.
Review
Biochemistry & Molecular Biology
Susana A. Llivisaca-Contreras, Jaime Naranjo-Moran, Andrea Pino-Acosta, Luc Pieters, Wim Vanden Berghe, Patricia Manzano, Jeffrey Vargas-Perez, Fabian Leon-Tamariz, Juan M. Cevallos-Cevallos
Summary: This study reviewed natural herbs, foods, and products that have scientific evidence showing potential host protection against various types of coronaviruses, focusing on SARS-CoV-2. It also presented natural products that can alleviate symptoms caused by different coronaviruses, with a special emphasis on products that stabilize the Renin-Angiotensin-Aldosterone System (RAAS) associated with the entry of SARS-CoV-2 into human cells.
Article
Food Science & Technology
Joel Tigrero-Vaca, Maria Gabriela Mariduena-Zavala, Hui-Ling Liao, Monica Prado-Lince, Cynthia Sulay Zambrano-Vera, Bertha Monserrate-Maggi, Juan M. Cevallos-Cevallos
Summary: This study investigated the microbial diversity during the spontaneous fermentation of cacao beans using culture-based methods and DNA sequencing techniques. The results revealed a wide variety of microorganisms involved in the fermentation process, including yeast, lactic acid bacteria, acetic acid bacteria, and other species. Additionally, environmental microorganisms were also found to be abundant. The study highlighted the contribution of microorganisms in the formation of volatile compounds during cacao fermentation, with different microorganisms producing compounds with distinct aroma characteristics.
Review
Food Science & Technology
Luis Santiago Guerra, Juan Manuel Cevallos-Cevallos, Stefan Weckx, Jenny Ruales
Summary: The development of early civilizations was closely related to their ability to utilize natural resources, particularly in terms of food preservation. In Ecuador, traditional fermented foods, such as cacao and coffee, have played a significant role in shaping the society's advancement, and the potential health benefits of these fermented foods are increasingly being explored.
Article
Plant Sciences
Jorge Ugarte Fajardo, Maria Mariduena-Zavala, Juan Cevallos-Cevallos, Daniel Ochoa Donoso
Summary: This study evaluates advanced distributed edge intelligence techniques for early black sigatoka disease detection using hyperspectral imaging. Different machine learning models were selected for their high predictive power, with metrics such as AUC and precision used for evaluation. Experimental results show that PLS-PLR, SVM, and MLP models successfully detect black sigatoka disease with high accuracy.
Proceedings Paper
Optics
Daniel Ochoa, Ronald Criollo, Wenzhi Liao, Juan Cevallos-Cevallos, Rodrigo Castro, Oswaldo Bayona
ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XXIII
(2017)