Sentence examples for very sensitive analysis from inspiring English sources

A range of dyes incorporating the benzotriazole group has been specifically designed to achieve this and they have proved successful labels for obtaining very sensitive analysis.

The platinum gauze with rGO/AuNPs modified electrode device was successfully applied in the acetylsalicylic acid determination in an environmental samples (wastewater) and clinical (tablets of drugs and human urine) samples, and is a promising platform for a simple, rapid, direct and very sensitive analysis of acetylsalicylic acid.

Since problems of light scattering, nonselective excitation, and source instability are absent, chemiluminescence possesses an inherently low background, allowing for a very sensitive analysis.

It is very sensitive to DTI analysis owing to the dense fiber structure.

Consequently, although polymorphic network hubs that appear to regulate large numbers of genes have been detected, their discovery is very sensitive to the analysis strategy and probability thresholds used, they have rarely been confirmed experimentally and many may be false positives [ 4, 6].

While SIMS is a very sensitive technique for qualitative analysis, a quantitative elementary analysis from secondary ions is often not possible due to the complex sputter and ionization processes and matrix related differences in secondary ion intensities [5 7].

The amount of organic and inorganic matter content in the samples varies with the distance from the marsh edge and is very sensitive to the specific analysis method adopted.

The entropy-fractal dimension 2D map is a very sensitive tool for comparative analysis.

New high-throughput sequencing technologies promise a very sensitive and high-resolution analysis of DNA methylation patterns in quantitative terms.

The cost-effectiveness analysis is not very sensitive to the program costs, however; the analysis that increased these costs by 25% resulted in costs per QALY below 100,000 SEK.

The controversy is based on disagreements about whether or not weakly expressed genes should be included in the analysis, as results of expression data analysis are very sensitive to the filtering method used, and unexpressed or weakly expressed genes can introduce more bias and noise than robust data (Castagne et al. 2011).