Article
Food Science & Technology
Rene Koppel, Jasmin Schade, Martin Peier
Summary: Listeria in food poses a serious risk to consumer health, and reliable methods are needed for detection. While various PCR systems have been developed for identifying Listeria strains, they may not detect all known strains. This study introduces a novel multiplex real-time PCR method that can simultaneously detect multiple common and known Listeria strains.
EUROPEAN FOOD RESEARCH AND TECHNOLOGY
(2021)
Article
Food Science & Technology
Sarah Azinheiro, Dipak Ghimire, Joana Carvalho, Marta Prado, Alejandro Garrido-Maestu
Summary: A multiplex RT-qPCR method was developed to specifically detect live bacteria, with two genetic targets co-amplified for improved specificity and an Internal Amplification Control to rule out false negative results due to reaction inhibition. The method demonstrated high sensitivity in smoked salmon samples inoculated with live and dead bacteria, showing almost complete concordance with the reference standard ISO 11290.
Article
Food Science & Technology
Qifan Sun, Jianheng Cheng, Ruoqin Lin, Jingyi Li, Ying Zhang, Xinwen Liang, Yue Su, Rui Pang, Liang Xue, Haiyan Zeng, Qihui Gu, Yu Ding, Qingping Wu, Moutong Chen, Jumei Zhang
Summary: Listeria monocytogenes is a globally important foodborne pathogen, and the emergence of clonal complex (CC) 87 and CC88 strains poses a threat to human health. This study developed a multiplex PCR technology that can simultaneously detect CC87 and CC88 strains, showing high specificity and sensitivity. The application of this technology in artificially contaminated milk and food samples is effective, and it is important for monitoring the prevalence of strains and evaluating the effectiveness of disinfection measures.
INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY
(2022)
Article
Food Science & Technology
Sarah Azinheiro, Pedro Rodriguez-Lopez, Antonio Lozano-Leon, Hugo Guedes, Patricia Regal, Carlos M. Franco, Alberto Cepeda, Pilar Teixeira, Luis D. R. Melo, Daniela Silva, Ana Fernandez, Marcia Faria, Foteini Roumani, Juan Herrera, Marta Prado, Marta Lopez-Cabo, Alejandro Garrido-Maestu
Summary: Listeria monocytogenes is a significant foodborne pathogen that infects vulnerable individuals through contaminated foods. A new qPCR-based method for detecting L. monocytogenes was evaluated in a study involving six laboratories in Spain and Portugal. The results showed high sensitivity and agreement with the reference method, indicating its potential for controlling the spread of L. monocytogenes.
Article
Computer Science, Artificial Intelligence
Qi Zeng, Ying Liu, Ming Tang, Jie Gong
Summary: Identifying super-spreaders in epidemics is crucial for disease control, and a new centrality measure called coupling-sensitive centrality is proposed to address this issue by considering the structural and dynamical couplings between communication and physical contact layers. The simulation results demonstrate that this new measure outperforms traditional centralities in accurately identifying super-spreaders, highlighting the importance of considering couplings between layers in coupled multilayer systems.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Microbiology
Michelle L. Claxton, Lauren K. Hudson, Daniel W. Bryan, Thomas G. Denes
Summary: Listeria monocytogenes is a foodborne pathogen with high mortality rate. This study isolated and characterized Listeria strains from soil samples in the Great Smoky Mountains National Park, revealing a diversity of Listeria species and indicating the park's role as a reservoir. The findings provide insights into the genomic evolution and ecology of Listeria spp. and their contribution to contamination of agricultural and food processing environments.
MICROBIOLOGY SPECTRUM
(2023)
Article
Microbiology
Yasuhisa Iwao, Shuichi Mori, Manabu Ato, Noboru Nakata
Summary: The study introduces a rapid method for determining drug resistance and genotype of M.leprae directly from clinical specimens, offering a new approach for faster genetic analysis.
JOURNAL OF CLINICAL MICROBIOLOGY
(2021)
Article
Biology
Hisham N. Altayb, Rania M. Badri, Kamel Chaieb, Ehssan Moglad
Summary: Food microbial contamination is a serious problem. This study used PCR to identify the most common foodborne pathogens in food samples from Khartoum state. The presence of Listeria monocytogenes and Vibrio cholerae in raw milk and fresh cheese samples highlights the need for enhanced hygiene measures.
SAUDI JOURNAL OF BIOLOGICAL SCIENCES
(2023)
Article
Food Science & Technology
Ying Feng, Zhangkai Cheng, Xianhu Wei, Moutong Chen, Jumei Zhang, Youxiong Zhang, Liang Xue, Minling Chen, Fan Li, Yuting Shang, Tingting Liang, Yu Ding, Qingping Wu
Summary: In this study, a novel method that combines metabolomics with deep learning was developed for the detection and identification of Listeria monocytogenes. By establishing a convolutional neural network model and using a pseudotargeted metabolomics approach, high prediction accuracies were achieved and different Listeria species were successfully distinguished. This is a promising powerful tool for the detection and classification of pathogens.
Article
Food Science & Technology
Fan Li, Qinghua Ye, Moutong Chen, Baoqing Zhou, Xinran Xiang, Chufang Wang, Yuting Shang, Jumei Zhang, Rui Pang, Juan Wang, Liang Xue, Shuzhen Cai, Yu Ding, Qingping Wu
Summary: The study identified 10 specific target genes through pan-genome analysis for multiplex PCR detection and developed two new lineage multiplex PCR assays for accurate, sensitive, and rapid identification of L. monocytogenes serotypes. The detection limits of the mPCRs were also determined, showing robust specificity when tested against other L. monocytogenes and non-L. monocytogenes serotypes.
INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY
(2021)
Article
Food Science & Technology
Damkerng Bundidamorn, Wannakarn Supawasit, Sudsai Trevanich
Summary: A simple Taqman(R) probe based mRT-PCR method was developed to detect three major foodborne pathogenic bacteria with high sensitivity, specificity and accuracy.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2021)
Article
Chemistry, Analytical
Dan Yin, Xiaolan Li, Li Mai, Ruxin Wang, Sitian Tang, Liyi Hu
Summary: The authors propose a reliable and cost-effective method for visual detection of a specific gene polymorphism. The method combines multiplex ligation probe amplification (MLPA) and gold nanoparticles (AuNPs)-based lateral flow assay (LFA). The system demonstrates high sensitivity, visual interpretation of results, minimal requirements for instruments and skilled technicians, as well as low cost.
MICROCHEMICAL JOURNAL
(2023)
Article
Chemistry, Analytical
Yue Li, Min Chen, Xia Fan, Jing Peng, Leiqing Pan, Kang Tu, Yiping Chen
Summary: A sandwich fluorometric method was developed for the dual-role recognition of L. monocytogenes in ham samples, based on an antibiotic-affinity strategy and fluorescence quenching effect. The method allows for sensitive and rapid detection of L. monocytogenes with a low detection limit, providing a simple and reliable method for its detection.
ANALYTICA CHIMICA ACTA
(2022)
Article
Food Science & Technology
Chanokchon Jaroenporn, Wannakarn Supawasit, Damkerng Bundidamorn, Pathima Udompijitkul, Anunchai Assawamakin, Sudsai Trevanich
Summary: The aim of this study was to validate the developed multiplex PCR-based alternative method for detecting Shiga toxin-producing Escherichia coli (STEC), Listeria monocytogenes (L. monocytogenes), and Salmonella spp. in raw meats. The developed mPCR showed potential as a fast, specific, and sensitive tool for detecting these three bacteria in the raw meat industry.
Article
Multidisciplinary Sciences
Hossam Abdelhamed, Seong Won Nho, Si Won Kim, Joseph S. Reddy, Seong Bin Park, Tae Sung Jung, Mark L. Lawrence
Summary: In this study, the potential of MALDI-TOF MS for rapid identification of the foodborne pathogen L. monocytogenes and discrimination of high-risk serotypes was examined. Using MALDI-TOF MS analysis, L. monocytogenes strains were accurately identified as the species and specific serotypes were distinguished based on unique biomarker ions. This method shows promise for rapid identification and serotype discrimination of L. monocytogenes.
Article
Multidisciplinary Sciences
Sara Lomonaco, Matthew A. Crawford, Christine Lascols, Ruth E. Timme, Kevin Anderson, David R. Hodge, Debra J. Fisher, Segaran P. Pillai, Stephen A. Morse, Erum Khan, Molly A. Hughes, Marc W. Allard, Shashi K. Sharma
Article
Food Science & Technology
C. Scarano, F. Piras, S. Virdis, G. Ziino, R. Nuvoloni, A. Dalmasso, E. P. L. De Santis, C. Spanu
INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY
(2018)
Article
Multidisciplinary Sciences
Alicja Kuch, Anna Goc, Katarzyna Belkiewicz, Virginia Filipello, Patrycja Ronkiewicz, Agnieszka Golebiewska, Izabela Wrobel, Marlena Kiedrowska, Izabela Wasko, Waleria Hryniewicz, Sara Lomonaco, Anna Skoczynska
SCIENTIFIC REPORTS
(2018)
Article
Biochemistry & Molecular Biology
George John Kastanis, Luis V. Santana-Quintero, Maria Sanchez-Leon, Sara Lomonaco, Eric W. Brown, Marc W. Allard
MOLECULAR ECOLOGY RESOURCES
(2019)
Review
Infectious Diseases
Marc W. Allard, Errol Strain, Hugh Rand, David Melka, William A. Correll, Leslie Hintz, Eric Stevens, Ruth Timme, Sara Lomonaco, Yi Chen, Steven M. Musser, Eric W. Brown
INFECTION GENETICS AND EVOLUTION
(2019)
Article
Food Science & Technology
Valentina Trinetta, Gabriela Magossi, Marc W. Allard, Sandra M. Tallent, Eric W. Brown, Sara Lomonaco
FOODBORNE PATHOGENS AND DISEASE
(2020)
Article
Agriculture, Dairy & Animal Science
Federica Biolcati, Christian Andrighetto, Maria Teresa Bottero, Alessandra Dalmasso
JOURNAL OF DAIRY SCIENCE
(2020)
Article
Biotechnology & Applied Microbiology
Virginia Filipello, Lapo Mughini-Gras, Silvia Gallina, Nicoletta Vitale, Alessandro Mannelli, Mirella Pontello, Lucia Decastelli, Marc W. Allard, Eric W. Brown, Sara Lomonaco
Article
Agriculture, Dairy & Animal Science
Federica Raspa, Francesca Rita Dinardo, Ingrid Vervuert, Domenico Bergero, Maria Teresa Bottero, Daniele Pattono, Alessandra Dalmasso, Marica Vinassa, Ermenegildo Valvassori, Elena Bruno, Pasquale De Palo, Emanuela Valle
Summary: This study investigated the effects of high cereal grains diet and high fiber diet on metabolic parameters and production aspects in horses. The results showed that horses fed with high cereal grains had increased intestinal permeability, higher muscle pH, increased fat content, among other negative effects, compared to horses fed with high fiber diet.
JOURNAL OF ANIMAL PHYSIOLOGY AND ANIMAL NUTRITION
(2022)
Article
Agriculture, Dairy & Animal Science
Federica Biolcati, Ilario Ferrocino, Maria Teresa Bottero, Alessandra Dalmasso
JOURNAL OF DAIRY SCIENCE
(2020)
Article
Microbiology
Carla L. Schwan, Valentina Trinetta, Maria Balkey, Peter W. Cook, Randall K. Phebus, Sara Gragg, Justin Kastner, Jessie L. Vipham, Sara Lomonaco
MICROBIOLOGY RESOURCE ANNOUNCEMENTS
(2020)
Article
Microbiology
Sara Lomonaco, Matthew A. Crawford, Christine Lascols, Debra J. Fisher, Kevin Anderson, David R. Hodge, Segaran P. Pillai, Stephen A. Morse, Erum Khan, Molly A. Hughes, Marc W. Allard, Shashi K. Sharma
MICROBIOLOGY RESOURCE ANNOUNCEMENTS
(2020)
Article
Food Science & Technology
Federica Biolcati, Maria Teresa Bottero, Alessandra Dalmasso
ITALIAN JOURNAL OF FOOD SAFETY
(2019)
Article
Microbiology
Sara Lomonaco, Christine Lascols, Matthew A. Crawford, Kevin Anderson, David R. Hodge, Debra J. Fisher, Segaran P. Pillai, Stephen A. Morse, Erum Khan, Molly A. Hughes, Marc W. Allard, Shashi K. Sharma
MICROBIOLOGY RESOURCE ANNOUNCEMENTS
(2019)
Article
Sara Lomonaco, Silvia Gallina, Virginia Filipello, Maria Sanchez Leon, George John Kastanis, Marc Allard, Eric Brown, Ettore Amato, Mirella Pontello, Lucia Decastelli
GENOME ANNOUNCEMENTS
(2018)
