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Review Cycle Records

Microbial Risk Analysis

Elsevier SCIE Non-OA
2026 Emerging Zone 22025 CAS Zone 32025 JCR Q2
92.5Average days
99Median days
49Fastest days
148Longest days
212025 publications

Paper Review Records

All Paper Review Records

12 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

136 days

Assessing viable pathogen loads in surface water: a comparison between PMA-based full-length 16S rRNA gene sequencing and conventional methods

AuthorsJie Zeng; Xi Chen; Jingtao Liu; Dong Hu; Xi Li

AffiliationsHebei Province Collaborative innovation center for sustainable utilization of water resources and optimization of industrial structure, Hebei GEO University, Shijiazhuang, 050031, P.R.China; State Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian, 361021, PR China; The Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Science, Shijiazhuang, 050061, PR China; School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, PR China

Source PDF DOI Publisher page
59 days

Microbiological contamination and water-safety prioritization in a rural source-to-household drinking-water system in the Ecuadorian Andes

AuthorsAdriana Monserrath Monge-Moreno; Hugo Renato Jácome-Cartagena; Adriana Lizbeth Pagalo-Tacuri; Cristian Rafael Monge-Moreno; Alisson Dayana Castillo-Camacho; Romina Alejandra González-Jara; Viviana Basantes-Insuasti; Johan Insuasti-Cruz

AffiliationsEscuela Superior Politécnica de Chimborazo (ESPOCH), Av. Pedro Vicente Maldonado s/n and Av. 11 de Noviembre, Riobamba, Ecuador; Natural Products and Pharmacy Research Group (GIPRONAF), Faculty of Sciences, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba, Ecuador; Alternative Energies and Environment Research Group (GEAA), Faculty of Sciences, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba, Ecuador; Chimborazo Wildlife Production Reserve, Ministry of Environment and Energy, Riobamba, Ecuador; Independent Researchers, Riobamba, Ecuador

Source PDF DOI Publisher page
102 days

A quantitative microbial risk assessment of non-typhoidal Salmonella in Indonesian street-vended chicken dishes

AuthorsNodali Ndraha; Siska Aditya; Suci Amaliyah; Ema Damayanti; Andri Frediansyah

AffiliationsResearch Center for Food Technology and Processing, Research Organization for Agriculture and Food, National Research and Innovation Agency, Playen, 55861, Yogyakarta, Indonesia

Source PDF DOI Publisher page
148 days

Prevalence, antimicrobial resistance, virulence, and machine learning-predicted biofilm dynamics of Listeria monocytogenes in ready-to-eat seafood from Bayelsa State, Nigeria

AuthorsAbeni Beshiru; Faith I. Omeje; Isoken H. Igbinosa; Linda Osaghale; Ezekiel Green; Abraham G. Ogofure; Etinosa O. Igbinosa

AffiliationsApplied Microbial Processes & Environmental Health Research Group, Faculty of Life Sciences, University of Benin, Benin City, Nigeria; German Federal Institute for Risk Assessment, Division of Hygiene & Disinfection Strategies, Department of Biological Safety, Berlin, Germany; Department of Microbiology, Faculty of Science, University of Ibadan, Ibadan, Oyo State, Nigeria; Department of Biotechnology and Food Technology, University of Johannesburg, Doornfontein Johannesburg, 2028, South Africa

Source PDF DOI Publisher page
74 days

Impact of sampling design on inference of the caecal–skin Campylobacter relationship in broilers

AuthorsCeline Mason; Erica Nunney; Javier Guitian

AffiliationsVeterinary Epidemiology, Economics & Public Health group, Department of Pathobiology and Population Sciences, FAO Reference Centre in Veterinary Epidemiology, World Organisation for Animal Health (WOAH) Collaborating Centre in Risk Analysis and Modelling, Royal Veterinary College, University of London, Hatfield, Herts, AL9 9TA, UK

Source PDF DOI Publisher page
109 days

Epidemiological assessment and risk factor analysis of Enterocytozoon hepatopenaei in inland shrimp aquaculture systems of Punjab, India

AuthorsSiddhnath Kumar; Sahibleen Kaur; Simranpreet Kaur Natt; Balbir Bagicha Singh; Deepa Bhatt; Simran Kaur; Sarbjeet Kaur

AffiliationsDepartment of Fish Processing Technology, College of Fisheries, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab 141004, India; Department of Aquatic Environment Management, College of Fisheries, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab 141004, India; Centre for One Health, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab 141004, India; Department of Fisheries Resource Management, College of Fisheries, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab 141004, India

Source PDF DOI Publisher page
49 days

Why do life phenomena not violate the second law of thermodynamics?

AuthorsUrs von Stockar; Marko Popović

AffiliationsSwiss federal Institute of Technology Lausanne (EPFL), Switzerland; Institute of Chemistry, Technology and Metallurgy, University of Belgrade, Belgrade, Serbia

Source PDF DOI Publisher page
113 days

Inflammatory risk of xerophilic Aspergillus fungal spores as studied in human leucocytes in vitro

AuthorsKatherine Priest; Anders Priemé; Pernille Høgh Danielsen; Anne Mette Madsen

AffiliationsThe National Research Centre for the Working Environment, Lersø Parkallé 105, Copenhagen 2100, Denmark; Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, Aalborg 9220, Denmark; Section of Microbiology, Department of Biology, University of Copenhagen, Universitetsparken 15, DK, 2100 Copenhagen, Denmark

Source PDF DOI Publisher page
61 days

AFLA-hazelnut: a model for the prediction of Aspergillus flavus infection and aflatoxin contamination in Hazelnuts

AuthorsAlessia Casu; Marco Camardo Leggieri; Paola Battilani

AffiliationsDepartment of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy; Plant Health Modelling Research Center, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy

Source PDF DOI Publisher page
54 days

Hybrid machine learning framework for predicting bacterial leaf stripe disease in arecanut under complex agroclimatic conditions

AuthorsNandeesha Kunchur Lingananda; Gangadhara B Naik; Amoghavarsha Chittaragi; Balanagouda Patil; Shankarappa Sridhara; Nandeesha Chandrappa Vasanad; Suresh Patil; Manjunath K Naik

AffiliationsDepartment of Plant Pathology, Keladi Shivappa Nayaka University of Agricultural and Horticultural Sciences, Shivamogga, Karnataka, India; ICAR-KVK, Chintamani, University of Agricultural Sciences, Bangalore, Karnataka, India; Center For Climate Resilient Agriculture & AICRP on Agrometeorlogy, Keladi Shivappa Nayaka University of Agricultural and Horticultural Sciences, Shivamogga, Karnataka, India; Department of Plant Pathology, ASPEE College of Agriculture, Junagadh Agricultural University, Junagadh, Gujarat, India; Department of Plant Pathology, College of Agriculture, Bihar Agriculture University, Sabour, Bihar, India

Source PDF DOI Publisher page

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Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment

SampleLatest 5 valid paper samples from 2026

Average review96.4 days

Median77 days

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