Minimum inhibitory concentration of silver nanoparticle against Staphylococcus aureus and its relation with Methicillin resistance and bacterial source of isolation

Background and Objective: The rise of antibiotic resistance particulary Methicillin resistance in pathogenic bacteria such as Staphylococcus aureus is found to be an emerging threat to human health especially in hospitals. Heavy metal nanoparticles such as Ag used for inhibition of this bacterium. This study was done to determine of minimum inhibitory concentration (MIC) Ag nanoparticle against Staphylococcus aureus which isolated in Gorgan, north of Iran and its relation with Methicillin resistance and source of bacteria. Methods: In this descriptive – analytical study, the MIC Ag nanoparticle in 183 isolates of Staphylococcus aureus by microdilution method was determined. 30 isolates, based on mecA gene was considered as MRSA. Samples were collected from patients, nose of healthy carriers and foods. Compare the MIC of isolates based on Methicillin resistance, source of the bacteria and resistance to other antibiotics were assessed. Results: Out of 183 samples MIC was varied from 1 to 16 µg/ml, and mean±std was 2.9±1.89 µg/ml. MIC mean of silver nanoparticles in isolated from foods were 2±0.7, isolared from healthy carriers were 4.1±2.4 and from patients were 3.4±2.1 µg/ml and were statically significant (P<0.05). MIC mean of silver nanoparticles in MSSA isolates are 3.9±2.3 and in MRSA isolates are 2.4±1.4 µg/ml that were statically significant (P<0.05). MIC mean of gentamycin resistant isolate were lower than sensitive one. But between MIC of silver nanoparticles and other antibiotics resistance was not significant statistically. Conclusion: There is a relation between silver nanoparticle MIC, source of sample isolation, Methicillin and gentamycin resistance. Since MIC of silver nanoparticles on isolates of Methicillin resistant is low, the possibility of its use in the control of MRSA in hospital infections can be considered as a prime attention the Gentamycine

Mycobacterium tuberculosis typing using Allele-specific oligonucleotide multiplex PCR (ASO�PCR) method

Mycobacterium tuberculosis (M. tuberculosis) genotyping provides valuable information related to the origin and the evolution of the isolates. This study aimed to evaluate the applicability of single-nucleotide polymorphisms (SNPs) technique for lineages identification of M. tuberculosis and compare it with mycobacterial interspersed repetitive units�variable number of tandem repeats (MIRU�VNTR) method. The lineages of 162 clinically isolates were evaluated using six pair primers by Multiplex-PCR based on SNPs. Among 162 isolates, 70 (43.2) isolates were lineage 4, following that 62 (38.3) and 22 (13.6) isolates were lineage 3 and 2, respectively. The method could not type 8 (4.9) isolates. Moreover, we could identify 71 out of 79 unknown isolates resulted from the MIRU�VNTR method. The results showed that the SNP typing method has the potential to determine the lineages of M. tuberculosis as a rapid laboratory screening test. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature

Computing and Interpreting Specific Production Rates in a Chemostat in Steady State according to the Luedeking: Piret Model

The Luedeking–Piret model is an empirical relationship which is very widely used in cell cultures to evaluate specific production rates of some products (metabolites or others). It constitutes a very common method of calculation as much in fundamental as in applied research and especially for designing and optimizing industrial processes in very varied fields. However, this model appears to be frequently deficient and has to be greatly adapted, practically, one might say, for each individual case. Obviously, this is a very great drawback, requiring a great deal of time spent on it and one that greatly lessens the ‘universality’ of the model. This work reveals that it is possible to give the initial Luedeking–Piret model a much more general scope. The used method revealed metabolic switches that have never been suspected until now. Confirmation of the method would certainly give a precious general tool both to optimize production processes and to increase understanding of some physiological states of cells in chemostat.info:eu-repo/semantics/publishe