Sentence examples for sampling and detection from inspiring English sources

As a result of limitations in sampling and detection it was unable to be conclusive, but the authority emphasised that it considered Amflora to be safe.

This chapter on biofilm risks deals with biofilm formation of pathogenic microbes, sampling and detection methods, biofilm removal, and prevention of biofilm formation.

The signal acquired from these sample types can be difficult to interpret as they do not always contain all of the genotypic information from each contributor, where the loss of genetic information is associated with sampling and detection effects.

This chapter discusses biofilm formation, sampling, and detection methods, pathogens in biofilms, persistent and non-persistent microbes, prevention of biofilm formation and biofilm removal as well as future trends in biofilm control in the food industry.

However, the interpretation of such measurements can be misleading because of the complex interactions between the target materials (e.g., suspensions of highly reactive and variably aggregated nanoparticles) and aquifer materials (sediments and groundwater), and multiple complications related to sampling and detection methods.

Kuske's review [ 5] contributes largely with regard to sampling and detection and identification in Table 1.

The treating methods, sampling and detections were the same as described above.

Detection frequencies of environmental phenols in urine were high: 2,5-Dichlorophenol, benzophenone-3, methylparaben, and propylparaben were detected in at least 99% of the samples, and detection frequencies for the other phenols ranged between 59%and94%4% (Table 2).

The calibration was performed with a blank and standard solution samples and detection limits (LOD) were determined with a standard deviation of blank solutions.

Alternatives to these conventional methods are direct release of Hg vapor by thermal desorption from solid sample and detection by atomic absorption spectrometry [4, 14, 16].

Visualization of the global relationships between the samples and detection of possible outliers among the 16 samples was facilitated by principal component analysis (PCA) of the S10 transformed data.