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Journal articles on the topic 'Microbial assessment'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Foegeding, Peggy M. "Assessment of foodborne microbial risks." Clinical Microbiology Newsletter 13, no. 14 (1991): 105–8. http://dx.doi.org/10.1016/0196-4399(91)90074-6.

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2

DEVLIEGHERE, F., K. FRANCOIS, K. M. VEREECKEN, A. H. GEERAERD, J. F. VAN IMPE, and J. DEBEVERE. "Effect of Chemicals on the Microbial Evolution in Foods." Journal of Food Protection 67, no. 9 (2004): 1977–90. http://dx.doi.org/10.4315/0362-028x-67.9.1977.

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In contrast with most chemical hazardous compounds, the concentration of food pathogens changes during processing, storage, and meal preparation, making it difficult to estimate the number of microorganisms or the concentration of their toxins at the moment of ingestion by the consumer. These changes are attributed to microbial proliferation, survival, and/or inactivation and must be considered when exposure to a microbial hazard is assessed. The number of microorganisms can also change as a result of physical removal, mixing of food ingredients, partitioning of a food product, or cross-contam

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3

White, David C., and David B. Ringelberg. "Monitoring deep subsurface microbiota for assessment of safe long-term nuclear waste disposal." Canadian Journal of Microbiology 42, no. 4 (1996): 375–81. http://dx.doi.org/10.1139/m96-053.

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Microbes with their resistance to heat and radioactivity, if present and metabolically active, could have major effects on the safety of nuclear waste disposal by posing potential problems in long-term containment. This paper reviews the applicability of the signature lipid biomarker (SLB) analysis in the quantitative assessment of the viable biomass, community composition, and nutritional/physiological status of the subsurface microbiota as it exists in situ in subsurface samples. The samples described in this review are not unlike those expected to be recovered from proposed deep subsurface

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4

Isaeva, Al'bina, Anna Krivonogova, Irina Donnik, and Kseniya Moiseeva. "Specific features of the microbial resistance assessment in pig breeding enterprises." Agrarian Bulletin of the 202, no. 11 (2020): 59–63. http://dx.doi.org/10.32417/1997-4868-2020-202-11-59-63.

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Abstract. The aim of this work was to study the opportunistic microbiocenosis of a pig-breeding enterprise and analyze its resistance to antimicrobial drugs (AMR- status). Methods. For two years on the pig farm there were taken samples of microflora from the mucous membranes and teats of pregnant and farrowed sows, from the mucous membranes and skin of piglets of weaning, rearing, fattening groups; from equipment, fencing, surfaces and inventory in different technological areas. The microorganism isolates isolated from the samples were determined for their sensitivity to antibiotics, which are

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5

OS, Job, Bala JD, Abubakar AN, Mustapha A, Innocent OM, and Friday NN. "Nanotechnology in Water Quality: Assessment Application for Microbial Detection and Control." Open Access Journal of Microbiology & Biotechnology 9, no. 4 (2024): 1–4. http://dx.doi.org/10.23880/oajmb-16000308.

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Evaluation of water quality is critical for assuring the safety of drinking water, especially with the increasing incidence of microbiological pollutants. Traditional microbial detection and control methods, while successful, are time-consuming and may lack the sensitivity needed to detect infections at low concentrations. Nanotechnology has emerged as a significant tool in this field, providing novel approaches to quick pathogen identification and efficient disinfection. This review provides an overview of the latest developments in nanotechnology for assessing water quality, with a focus on

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6

Narmadhadevi, V., and Shubashini K Sripathi. "Synthesis of Coumarin Derivatives and Assessment of their Anti Microbial Activity." International Journal of Scientific Engineering and Research 4, no. 11 (2016): 83–87. https://doi.org/10.70729/ijser151098.

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7

Chaudhary, Anju. "Assessment of Microbial Quality of Khoa." Indian Journal of Pure & Applied Biosciences 8, no. 2 (2020): 104–7. http://dx.doi.org/10.18782/2582-2845.7691.

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8

Krimsky, Sheldon, Roger P. Wrubel, Inger G. Naess, Stuart B. Levy, Richard E. Wetzler, and Bonnie Marshall. "Standardized Microcosms in Microbial Risk Assessment." BioScience 45, no. 9 (1995): 590–99. http://dx.doi.org/10.2307/1312763.

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9

CASSIN, MICHAEL H., GREG M. PAOLI, and ANNA M. LAMMERDING. "Simulation Modeling for Microbial Risk Assessment." Journal of Food Protection 61, no. 11 (1998): 1560–66. http://dx.doi.org/10.4315/0362-028x-61.11.1560.

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Quantitative microbial risk assessment implies an estimation of the probability and impact of adverse health outcomes due to microbial hazards. In the case of food safety, the probability of human illness is a complex function of the variability of many parameters that influence the microbial environment, from the production to the consumption of a food. The analytical integration required to estimate the probability of foodborne illness is intractable in all but the simplest of models. Monte Carlo simulation is an alterative to computing analytical Solutions. In some cases, a risk assessment

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10

Coffey, Rory, Enda Cummins, Martin Cormican, Vincent O. Flaherty, and Stephen Kelly. "Microbial Exposure Assessment of Waterborne Pathogens." Human and Ecological Risk Assessment: An International Journal 13, no. 6 (2007): 1313–51. http://dx.doi.org/10.1080/10807030701655582.

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11

O’Toole, Joanne, Martha Sinclair, Manori Malawaraarachchi, Andrew Hamilton, S. Fiona Barker, and Karin Leder. "Microbial quality assessment of household greywater." Water Research 46, no. 13 (2012): 4301–13. http://dx.doi.org/10.1016/j.watres.2012.05.001.

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12

Kotb, Essam. "Activity assessment of microbial fibrinolytic enzymes." Applied Microbiology and Biotechnology 97, no. 15 (2013): 6647–65. http://dx.doi.org/10.1007/s00253-013-5052-1.

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13

Skovgaard, Niels. "Microbial risk assessment in food processing." International Journal of Food Microbiology 87, no. 1-2 (2003): 193. http://dx.doi.org/10.1016/s0168-1605(03)00035-7.

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14

Godfrey, S., and M. Smith. "Improved microbial risk assessment of groundwater." Hydrogeology Journal 13, no. 1 (2005): 321–24. http://dx.doi.org/10.1007/s10040-004-0412-7.

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15

Tront, J. M., J. D. Fortner, M. Plötze, J. B. Hughes, and A. M. Puzrin. "Microbial fuel cell biosensor for in situ assessment of microbial activity." Biosensors and Bioelectronics 24, no. 4 (2008): 586–90. http://dx.doi.org/10.1016/j.bios.2008.06.006.

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16

VANDERIET, SHIRLEY J., and MARGY J. WOODBURN. "Microbial and Quality Assessment of Household Food Discards1." Journal of Food Protection 48, no. 11 (1985): 924–31. http://dx.doi.org/10.4315/0362-028x-48.11.924.

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Quality aspects and microbial counts of household food discards were determined. Samples were analyzed for total aerobic and anaerobic plate counts, total coliforms, Staphylococcus aureus, total anaerobes, Clostridium perfringens, and molds. The length of household storage time, the householder's reason for discard, the householder's safety assessment of the food and laboratory panel evaluations of off-odor, off-color and off-texture were compared to the laboratory microbial analyses. In 62% of the microbiologically analyzed foods, the householder did not make correct safety assessments. In 9%

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17

BARRAJ, LEILA M., and BARBARA J. PETERSEN. "Food Consumption Data in Microbiological Risk Assessment." Journal of Food Protection 67, no. 9 (2004): 1972–76. http://dx.doi.org/10.4315/0362-028x-67.9.1972.

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The 1st International Conference on Microbiological Risk Assessment: Foodborne Hazards was held in July 2002. One of the goals of that conference was to evaluate the current status and future needs and directions of the science of microbial risk assessment. This article is based in part on a talk presented at that meeting. Here, we review the types of food consumption data available for use in microbial risk assessments and address their strengths and limitations. Consumption data available range from total population summary data derived from food production statistics to detailed information

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18

Kiani, Noor Ul Huda, Saba Farooq, Raees Ahmed, and Basharat Mahmood. "Comparative Assessment of Microbial Community in Compost Samples." Journal of Microbiological Sciences 4, no. 01 (2025): 31–42. https://doi.org/10.38211/jms.2025.04.89.

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Soil, composed of inorganic and organic materials, supports diverse microbial communities, including bacteria, fungi, and yeasts, which play essential roles in compost formation. Composting is a controlled biodegradation process that converts organic waste into a nutrient-rich soil conditioner. This study aimed to compare the microbial diversity and density in two compost samples (S1 and S2) prepared on campus. Sample S1 consisted of poultry waste, vegetable waste, and fruit waste, whereas Sample S2 was composed of vegetable waste and cow dung. Microbial isolation was performed using serial di

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19

Mishra, B. K., and S. K. Barolia. "Quality Assessment of Microbial Inoculants as Biofertilizer." International Journal of Current Microbiology and Applied Sciences 9, no. 10 (2020): 3715–29. http://dx.doi.org/10.20546/ijcmas.2020.910.428.

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20

Eissa, Mostafa Essam. "Quantitative Microbial Risk Assessment of Pharmaceutical Products." PDA Journal of Pharmaceutical Science and Technology 71, no. 3 (2016): 245–51. http://dx.doi.org/10.5731/pdajpst.2016.007047.

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21

KOUTSOUMANIS, KONSTANTINOS. "Modeling Food Spoilage in Microbial Risk Assessment." Journal of Food Protection 72, no. 2 (2009): 425–27. http://dx.doi.org/10.4315/0362-028x-72.2.425.

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In this study, I describe a systematic approach for modeling food spoilage in microbial risk assessment that is based on the incorporation of kinetic spoilage modeling in exposure assessment by combining data and models for the specific spoilage organisms (SSO: fraction of the total microflora responsible for spoilage) with those for pathogens. The structure of the approach is presented through an exposure assessment application for Escherichia coli O157:H7 in ground beef. The proposed approach allows for identifying spoiled products at the time of consumption by comparing the estimated level

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22

NAKAGAWA, Naoko, Kazuno YAMAKOSHI, Hana OE, and Masahiro OTAKI. "MICROBIAL RISK ASSESSMENT OF THE COMPOST1NG TOILET." Doboku Gakkai Ronbunshu, no. 748 (2003): 91–98. http://dx.doi.org/10.2208/jscej.2003.748_91.

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23

Parkin, Rebecca T. "Addressing Susceptibility in Microbial Pathogen Risk Assessment." Human and Ecological Risk Assessment: An International Journal 10, no. 1 (2004): 135–49. http://dx.doi.org/10.1080/10807030490281025.

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24

Hamilton, Michelle A. E., and M. H. Ahmad. "Microbial Assessment of Poultry Processed in Jamaica." Journal of Applied Poultry Research 1, no. 4 (1992): 389–98. http://dx.doi.org/10.1093/japr/1.4.389.

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25

Snary, E. L. "Antimicrobial resistance: a microbial risk assessment perspective." Journal of Antimicrobial Chemotherapy 53, no. 6 (2004): 906–17. http://dx.doi.org/10.1093/jac/dkh182.

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26

Solomon, William R. "Airborne Microbial Allergens: Impact and Risk Assessment." Toxicology and Industrial Health 6, no. 2 (1990): 309–24. http://dx.doi.org/10.1177/074823379000600208.

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27

JAMES, E., and M. JOYCE. "Assessment and Management of Watershed Microbial Contaminants." Critical Reviews in Environmental Science and Technology 34, no. 2 (2004): 109–39. http://dx.doi.org/10.1080/10643380490430663.

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28

Miliotis, M., S. Dennis, R. Buchanan, and M. Potter. "Role of epidemiology in microbial risk assessment." Food Additives & Contaminants: Part A 25, no. 9 (2008): 1052–57. http://dx.doi.org/10.1080/02652030802056618.

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29

Zwietering, M. H., and S. J. C. van Gerwen. "Sensitivity analysis in quantitative microbial risk assessment." International Journal of Food Microbiology 58, no. 3 (2000): 213–21. http://dx.doi.org/10.1016/s0168-1605(00)00275-0.

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30

Duffy, Siobain, and Donald W. Schaffner. "Quantitative risk assessment of microbial sampling effectiveness." Clinical Microbiology Newsletter 24, no. 6 (2002): 44–47. http://dx.doi.org/10.1016/s0196-4399(02)80009-5.

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31

Brul, S., J. Bassett, P. Cook, et al. "‘Omics’ technologies in quantitative microbial risk assessment." Trends in Food Science & Technology 27, no. 1 (2012): 12–24. http://dx.doi.org/10.1016/j.tifs.2012.04.004.

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32

NWACHUKU, N., and C. GERBA. "Microbial risk assessment: don’t forget the children." Current Opinion in Microbiology 7, no. 3 (2004): 206–9. http://dx.doi.org/10.1016/j.mib.2004.04.011.

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33

Sun, Chenhao, Constantinos Theodoropoulos, and Nigel S. Scrutton. "Techno-economic assessment of microbial limonene production." Bioresource Technology 300 (March 2020): 122666. http://dx.doi.org/10.1016/j.biortech.2019.122666.

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34

Bernatchez, Stéphane, Valar Anoop, Zeina Saikali, and Marie Breton. "A microbial identification framework for risk assessment." Food and Chemical Toxicology 116 (June 2018): 60–65. http://dx.doi.org/10.1016/j.fct.2018.02.040.

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35

Coleman, M. E., J. T. Cohen, H. G. Claycamp, and B. K. Hope. "Microbial Risk Assessment Scenarios, Causality, and Uncertainty." Microbe Magazine 2, no. 1 (2007): 13–17. http://dx.doi.org/10.1128/microbe.2.13.1.

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36

Iannucci, Leonardo, Marco Parvis, Pierangela Cristiani, Roberto Ferrero, Emma Angelini, and Sabrina Grassini. "A Novel Approach for Microbial Corrosion Assessment." IEEE Transactions on Instrumentation and Measurement 68, no. 5 (2019): 1424–31. http://dx.doi.org/10.1109/tim.2019.2905734.

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37

Hyvärinen, A., H. Rintala, S. Kokkonen, L. Larsson, and A. Nevalainen. "Microbial Exposure Assessment With House Dust Samples." Epidemiology 17, Suppl (2006): S227. http://dx.doi.org/10.1097/00001648-200611001-00582.

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38

Im, Lee-Rang, and Ki-Rim Kim. "Assessment of Microbial Contamination of Dental Prostheses." Korean Journal of Clinical Dental Hygiene 12, no. 1 (2024): 11–18. http://dx.doi.org/10.12972/kjcdh.20240002.

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Objective: Various dental prostheses, such as crowns and dentures, are crafted in dental laboratories and then applied within the patient's mouth in dental institutions. However, dental workers rarely disinfect them before application. Therefore, we investigated the bacterial contamination of various intraoral prostheses to confirm the importance of infection control. Methods: Bacterial samples were collected from 23 dental prostheses (including six gold crowns, seven zirconia crowns, four porcelain-fused-to-metal crowns, and six dentures) in dental laboratories and dental institutions in Gyeo

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39

Sohail, Rafeya, and Nazia Jamil. "Microbial Biosurfactant Screening: Diversity in Assessment Methods." Advancements of Microbiology 62, no. 3-4 (2023): 145–55. http://dx.doi.org/10.2478/am-2023-0013.

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Abstract Biosurfactants are a group of surface-active agents mainly produced by microorganisms and have a wide range of applications in industries as well as agriculture. Global usage of such biologically active compounds as detergents, bioremediation agents, cosmetic products is hugely dependent on their high production. New avenues of research have opened up due to this increased interest, most of which are focused on identifying specialized microorganisms capable of biosurfactant production. Screening methods for selection of biosurfactant producing bacteria are, therefore, of utmost import

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40

Lammerding, Anna M., and Aamir Fazil. "Hazard identification and exposure assessment for microbial food safety risk assessment." International Journal of Food Microbiology 58, no. 3 (2000): 147–57. http://dx.doi.org/10.1016/s0168-1605(00)00269-5.

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41

MILDENHALL, KRISTEN B., and SCOTT A. RANKIN. "Implications of Adenylate Metabolism in Hygiene Assessment: A Review." Journal of Food Protection 83, no. 9 (2020): 1619–31. http://dx.doi.org/10.4315/jfp-20-087.

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ABSTRACT The assessment of a hygienic state or cleanliness of contact surfaces has significant implications for food and medical industries seeking to monitor sanitation and exert improved control over a host of operations affecting human health. Methods used to make such assessments commonly involve visual inspections, standard microbial plating practices, and the application of ATP-based assays. Visual methods for inspection of hygienic states are inherently subjective and limited in efficacy by the accuracy of human senses, the degree of task-specific work experience, and various sources of

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42

Jacxsens, L., J. Kussaga, P. A. Luning, M. Van der Spiegel, F. Devlieghere, and M. Uyttendaele. "A Microbial Assessment Scheme to measure microbial performance of Food Safety Management Systems." International Journal of Food Microbiology 134, no. 1-2 (2009): 113–25. http://dx.doi.org/10.1016/j.ijfoodmicro.2009.02.018.

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43

Job, O.S., Bala, J.D., Abdulraham, A.A., et al. "Microbial Source Tracking: An Emerging Technology for Microbial Water Quality Assessment: A Review." UMYU Journal of Microbiology Research (UJMR) 8, no. 1 (2023): 109–21. http://dx.doi.org/10.47430/ujmr.2381.014.

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Microbial Source Tracking is a scientific approach that primarily aims to identify the sources of faecal contamination in water bodies. Microbial Source Tracking (MST) is a set of techniques employed to identify the origins of faecal contamination in water. The capacity to track faecal bacteria to their source is a crucial aspect of both public health and water quality management. The utilisation of information obtained from the method of MST would provide water quality managers with an enhanced comprehension of the origins of contamination, thus facilitating the implementation of remedial mea

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44

AGHEDO, S. O., A. T. ADEKUNLE, R. O. OKUNDIA, U. ESEIMUDE, and J. A. OMOROGBE. "ASSESSMENT OF SOIL MICROBIAL DIVERSITY OF DIFFERENT RUBBER PLANTATION AGES." FUDMA Journal of Agriculture and Agricultural Technology 8, no. 1 (2022): 151–57. http://dx.doi.org/10.33003/jaat.2022.0801.039.

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A study was carried out to investigate composition and diversity of the soil microbial communities in rubber plantations of different ages. Soil samples were collected from five different plantations aged 10, 13, 18, 23, 28 years old (latitudes 6º9ʹ27.08, 6º9ʹ27.78, 6º9ʹ20.59, 6º9ʹ28.21, 6º9ʹ27.60 (E) and longitude 5º35ʹ49.61, 5º36ʹ38.13, 5º35ʹ27.95, 5º36ʹ11.37, 5º37ʹ12.50 (N) respectively) at Rubber Research Institute of Nigeria, Iyanomo, Benin City. The laboratory experiment was carried out at the Faculty of Agriculture main laboratory and the International Institute for Tropical Agriculture

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45

Swetha, S., and Ashish Jain. "Assessment of Microbial Growth and Salivary pH in Patients Wearing Fixed Partial Denture." Journal of Pure and Applied Microbiology 11, no. 4 (2017): 1925–28. http://dx.doi.org/10.22207/jpam.11.4.33.

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46

Yadav, Rajesh K., Anil Mishra, and Rachna Sharma. "Assessment of microbial profile in the patients with diabetic foot: A Microbiological Study." Journal of Advanced Medical and Dental Sciences Research 4, no. 4 (2016): 105–8. http://dx.doi.org/10.21276/jamdsr.2016.4.4.23.

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47

BELOUS, MADALINA, MARIN MIHAIU, SORIN DAN, and ALEXANDRA TABARAN. "ASSESSMENT OF THE SPOILAGE MICROFLORA IN SWINE AND BROILER CARCASSES." Scientific Papers Journal VETERINARY SERIES 66, no. 1 (2023): 28–32. http://dx.doi.org/10.61900/spjvs.2023.01.06.

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"The microbial load is of major importance in terms of the quality, sanity, and freshness of the meat. The aim of our study was to perform a microbial risk assessment at warm and chilled swine and broilers carcasses represented by the psychrotrophic bacteria. The research material was represented by swine and broiler carcasses collected in past years. The results showed a variation in swine and broilers microbiological carcasses. The point of interest was based on the microorganisms presented in both species. Microbial load from the surface of carcasses is significantly influenced by the tempe

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48

SAKİN, Erdal, Halil İbrahim YANARDAĞ, Zemzem FIRAT, Ahmet ÇELİK, Vedat BEYYAVAŞ, and Suat CUN. "Some Indicators for the Assessment of Soil Health: A Mini Review." MAS Journal of Applied Sciences 9, no. 2 (2024): 297–310. https://doi.org/10.5281/zenodo.11665000.

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Soil health depends on a delicate balance of biological, chemical and physical parameters, each of which affects the overall vitality and productivity of the soil ecosystem. Biological parameters include organism populations, microbial diversity and enzyme activity. Organic matter content fuels microbial activity improves nutrient cycling and soil structure. Chemical parameters such as pH, nutrient levels and salinity determine nutrient availability and microbial function. Optimum pH levels sustain microbial diversity and enzymatic activity, which is crucial for nutrient cycling. Physical para

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49

D. B., Harkal. "Microbial Quality Assessment of Khoa Sold in Parbhani City of Maharashtra, India." International Journal for Research in Applied Science and Engineering Technology 13, no. 2 (2025): 1422–25. https://doi.org/10.22214/ijraset.2025.67105.

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Khoa is required many desserts. Contaminated khoa may possess health risk when consumed raw or partially processed. Microbial quality assessment of khoa is an important step. Present Study was Planned for microbial quality assessment of khoa sold in Parbhani city of Maharashtra of India. The microbial quality of khoa was evaluated by assessing Total Viable Count (TVC). A total of 100 khoa samples were collected and screened during study. Microbial quality was assessed by estimating TVC. The mean TVC of khoa samples recorded was 2.755+0.139 x 106 and the range of TVC was found to be 0.61 x 106

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50

Sarker, Ayesha, Sharmista Dash, Md Mozammel Hoque, Sultan Ahmed, and Md Rayhan Shaheb. "Assessment of microbial quality of water in popular restaurants in Sylhet city of Bangladesh." Bangladesh Journal of Agricultural Research 41, no. 1 (2016): 115–25. http://dx.doi.org/10.3329/bjar.v41i1.27677.

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Microbial contaminations of drinking water constitute a major burden on human health. Interventions to improve the quality of drinking-water provide significant benefits to health. An assessment of microbial quality of water in the samples obtained from different popular restaurants of Sylhet City Corporation, Bangladesh were analyzed in the laboratory. Our aims were to find out the microbial properties of water, to analyze the potable water qualities of the restaurants and also to compare it with different standards to assess the health risk of people. The microbial tests viz. MPN, TVC and to

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