Results 231 to 240 of about 1,093,104 (293)

Multi‐Scale Bionic Structure Constructs Biomass Flame‐Retardant Thermal Insulation Foam Material

open access: yesAdvanced Science, EarlyView.
Inspired by mussel adhesion and hierarchical brick‐and‐mortar architectures, a cellulose‐based biomimetic foam is constructed by anchoring bentonite nanosheets onto a polydopamine‐decorated cellulose nanofiber network. The resulting foam combines low thermal conductivity with intrinsic flame retardancy and full biodegradability, presenting a ...
Jianming Liao   +10 more
wiley   +1 more source

Gut Microbiome Diversity, Functional Potential, and Ecological Relevance of Hottentotta tamulus. [PDF]

open access: yesMicrobiologyopen
Khan KU   +8 more
europepmc   +1 more source

Integrated GC-HRAM-MS and UHPLC-QTOF-MS metabolomics reveal mineral-induced metabolic adaptation of <i>Lactiplantibacillus pentosus</i> 9D3 during milk fermentation. [PDF]

open access: yesFood Chem X
Tunsagool P   +8 more
europepmc   +1 more source

On Modeling the Irregular Fluctuations in Microbial Counts

Critical Reviews in Food Science and Nutrition, 1999
Daily or other periodic microbial counts in many foods, particularly ground meats, poultry, and raw milk, show an irregular fluctuating pattern. The cause of the fluctuations is the interplay of many random factors that tend to promote or inhibit microbial growth.
Micha Peleg, J Horowitz
exaly   +3 more sources

Fitting a distribution to microbial counts: Making sense of zeroes

International Journal of Food Microbiology, 2015
The accurate estimation of true prevalence and concentration of microorganisms in foods is an important element of quantitative microbiological risk assessment (QMRA). This estimation is often based on microbial detection and enumeration data. Among such data are artificial zero counts, that originated by chance from contaminated food products.
Maarten Nauta, Anders Stockmarr
exaly   +3 more sources

Home - About - Disclaimer - Privacy