Sentence examples for microbial samples is from inspiring English sources

Determination of volatile alkylpyrazines (VAPs) in microbial samples is needed for the understanding of microbial metabolism.

However, examination of conductivity in microbial samples is still in its relative infancy and conceptual models in terms of conductive mechanisms are still being developed and debated.

Precisely how this sense of ownership will manifest for research utilising microbial samples is currently unknown and should itself be the subject of research sensitive to cultural, religious, and other contexts.

In short, collection of microbial samples is potentially highly personal in ways that are quite different from the sense of ownership individuals may experience in relation to other tissue samples.

For the study of gradient relationships among the samples, the shift of microbial samples is visualized by PCoA (Principal Coordinates Analysis) [ 44], which is a multi-dimensional scaling (MDS) method that converts between-sample dissimilarity matrix into two-dimensional (or three-dimensional) ordinates of samples and arranges the samples in ordinate space.

Water and microbial samples were stored at 4°C until processing.

The products from the whole-transcriptome amplification of deep-sea microbial samples were assessed first through random clone library sequencing.

With the optimized method, the determination of six VAPs in the A. pomorum, a kind of microbial samples was carried out by the labeled internal standard method.

Headspace-solid phase microextraction (HS-SPME) which is a simple extraction simultaneously carrying out clean-up and pre-concentration of VAPs in microbial samples was adopted.

Tables II and III list the Fe2+, Fe3+, SO42, Cu2+, Zn2+, Al3+,, Cd2+, K+, Mg2+, MnT, Na+, PbT, and SiO2 concentrations at the sites where microbial samples were collected.

Moreover, in human microbiome biobanking research, microbial samples are collected from multiple body sites and will be linked with human host's data, but we are unable to predict the future research and the potential risks associated with that research.