Publications by authors named "L E Murr"

Article Synopsis
  • The study analyzed the fatigue performance of a specific titanium alloy (Ti-6Al-4V) made using laser powder bed fusion, focusing on how defects like keyhole porosity and surface roughness affect its durability.
  • Researchers used four-point bending tests and examined various surface roughness levels, discovering that fatigue life varied by 10 cycles depending on these factors.
  • The findings included S-N (stress-number of cycles to failure) curves which fitted Basquin's stress-life relation for most defects, indicating that keyhole porosity had less impact on fatigue performance compared to other factors in the alloy's manufacturing process.
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For successful elucidation of a food-borne infection chain, the availability of high-quality sequencing data from suspected microbial contaminants is a prerequisite. Commonly, those investigations are a joint effort undertaken by different laboratories and institutes. To analyze the extent of variability introduced by differing wet-lab procedures on the quality of the sequence data we conducted an interlaboratory study, involving four bacterial pathogens, which account for the majority of food-related bacterial infections: spp.

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Whole-genome sequencing (WGS) has revolutionized surveillance of infectious diseases. Disease outbreaks can now be detected with high precision, and correct attribution of infection sources has been improved. Listeriosis, caused by the bacterium Listeria monocytogenes, is a foodborne disease with a high case fatality rate and a large proportion of outbreak-related cases.

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Reported cases of listeriosis from food of non-animal origin (FNAO) are increasing. In order to assess the risk of exposure to from FNAO, the genetic characterization of the pathogen in FNAO products and in primary production and processing plants needs to be investigated. For this, 123 samples of fresh and frozen soft fruit and 407 samples of 39 plants in Bavaria, Germany that produce and process FNAO were investigated for contamination.

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Interpretation of whole-genome sequencing (WGS) data for foodborne outbreak investigations is complex, as the genetic diversity within processing plants and transmission events need to be considered. In this study, we analyzed 92 food-associated isolates by WGS-based methods. We aimed to examine the genetic diversity within meat and fish production chains and to assess the applicability of suggested thresholds for clustering of potentially related isolates.

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