Sentence examples for samples in complex from inspiring English sources

Isothermal microcalorimetry (IMC) is particularly suited to the study of microbiological samples in complex or heterogeneous environments because it does not require optical clarity of the sample and can detect metabolic activity from as few as 104 CFU/mL cells.

Applications of the 2D SFC/SFC/MS methods to the separation and the analysis of racemic pharmaceutical samples in complex mixtures demonstrated that an achiral separation (in first dimension) and a chiral separation (in second dimension) can be successfully combined into a single, streamlined process both in analytical and preparative scale.

The excellent sensitivity of this device illustrates that it has considerable potential to perform trace analyses of chemical and biological samples in complex matrices.

In view of the recent advancements in NMR technology [33], [34], [35], the high-throughput and/or field analysis of multiple samples in complex media should be feasible, even outside of the typical laboratory setting.

However, currently it is difficult to obtain sufficient number of positive training samples in complex detection field.

Additionally, several format specifications have been developed to comprehensively capture the handling of biological samples in complex studies.

Generally, event-based sampling in complex structured forests (conditions that favor comparatively long autocorrelations in throughfall) requires the largest extents.

Since no mathematical or statistical tools exist to predict the variance originating from repeated sampling in complex structures like the human neocortex, the variance at each level of sampling was determined empirically.

The most widely used platform for HLA typing, capillary electrophoresis-based Sanger sequencing technology, does not scale with the number of regions and samples required in complex study designs when compared to next-generation sequencing (NGS) platforms.

The only source of error is now round-off error, and even that can be ''averaged out" to any desired degree by enlarging the number of samples in the complex sinusoids used to probe the system.

Furthermore, the design-space approach was used as a starting point for a quantitative method for the trace analysis of glucose in trehalose samples in a complex matrix.