Sentence examples for mean extraction yield from inspiring English sources

Applying these conditions, the mean extraction yield of essential oils was 1.677%.

Under these conditions, the mean extraction yield of polysaccharides was 5.182 ± 0.093%, which was in good agreement with the predicted model value.

Under these conditions, the mean extraction yield of polysaccharides was 21.8324%, which was in good agreement with the predicted model value.

Mean extraction yields of curdione, furanodienone, curcumol and germacrone were 1.98, 1.55, 0.25 and 0.40 mg g−1, respectively, consistent with the model's predictions.

The reliability of the method was confirmed by performing experiments under optimal conditions and the experimental values were found to be in close agreement with the values predicted from the developed quadratic polynomial equation (average mean deviation (E) of 1.8% for extraction yield and 1.59% for molecular weight).

The extraction yield base on ultrasonic assisted extraction varied in the range of 0.12 1.04% (w/w).

The optimization of the main variables involved in the ASE process (extraction temperature and time) has been done by means of a full factorial (three levels) design using, as responses, the extraction yield and the antioxidant activity of the extracts (determined as EC50, i.e., efficient concentration, using an in vitro assay based on a free radical method).

Temperature, pressure and mean particle diameter were identified as significant parameters effecting on extraction yield but bed void fraction had no significant effect.

Extraction yield was shown to depend markedly on temperature, while reduction in screw rotation speed and solid flow rate affected the mean residence time (MRT) of the liquid phase, which enhanced the extraction yield of hemicelluloses.

The extraction yield, total phenolic and flavonoid content in the extract and fractions of N. jatamansi are summarized in Table  1.> -wrap-foot> All the values are expressed as mean ± SEM (n = 3).

A bacterial strain which was marked as MB4 and identified by means of 16S rDNA sequencing and physiological characterization as either Bacillus pumilus or Bacillus altitudinis enhanced the extraction yield of Jatropha oil.