Biomineralization of Human Genomic DNA into ZIF-8, a Zeolite-Like Metal-Organic Framework.

Unlabelled: was to assess the capabilities of human genomic DNA biomineralization into ZIF-8 metal-organic framework (MOF) preserving DNA sequence integrity after the encapsulation cycle and composite dissolving. The study is an initial stage of the project aimed at developing an abiotic vector to be used when working with native nucleic acids of an arbitrary size based on DNA@ZIF-8 composite.

Materials And Methods: We studied human genomic DNA isolated from lymphocytes of peripheral blood of healthy volunteers using Proba-NK kit (DNA-Technology LLC, Russia).

[Evaluation of substrate specificity of biosensor models based on strains degrading polycyclic aromatic compounds].

Models of microbial biosensors based on 11 strains of degrading surface-active substances (SASs) and polycyclic aromatic hydrocarbons (PAHs) were studied. Substrate specificity, sensitivity, and stability of biosensor models were comparatively evaluated.

[Biosensor of the reactor type based on Rhodococcus erythropolis HL TM-1 cells for determining 2,4-dinitrophenol].

A model of a reactor-type biosensor based on the Rhodococcus erythropolis HL PM-1 was developed for amperometric detection of 2,4-dinitrophenol (2,4-DNP). The effects of the matrix material (agar and calcium alginate gels, ceramic support, and cellulose powder) on the biosensor signal concentration dependence, detection time, and biosensor stability were studied. In case of bacterial cells immobilized on cellulose powder, the lower limit of 2,4-DNP detection was 20 microM and the time of single analysis, the biosensor recovery included, was 30-50 min.

Bacteria-degraders as the base of an amperometric biosensor for detection of anionic surfactants.

Several strains belonging to genera Pseudomonas and Achromobacter and characterized by the ability to degrade anionic surfactants were tested as potential bases of microbial biosensors for surfactant detection. For each strain the substrate specificity and stability of sensor signals were studied. The total amount of the substrates tested (including carbohydrates, alcohols, aromatics, organic acids, etc.