Sentence examples for based on spectral data from inspiring English sources

Based on spectral data analysis, one new structurally related ionone-like compound known as 3-(2′,4′,6′,6′-tetramethylcyclohexa-1′,4′-dienyl)acrylic acid (1) has been isolated from aerial parts of V. odorata, with significant bioactivity.

The structures of 1, 2, and 3 were determined as 5′,8′-epoxy-5′,8′-dihydro-β 5′,8′-epoxy-5′,8′-dihydro-β 5′,8′-epoxy-5′,8′-dihydro-β 5′,8′-epoxy-5′,8′-dihydro-β 5′,8′-epoxy-5′,8′-dihydro-β 5′,β-caroten-4-oned 3′-hydroxy-5′,6′-epoxy-5′,6′-dihydro-β,β-carotenamednechinenone′-hydroxyechinenone 5′,8′-epoxide), respectively, based on spectral data.

Large complex molecules of up to 100 or more skeletal atoms with topological peculiarity can be quickly identified using the expert system Structure Elucidator based on spectral data.

Based on spectral data obtained from 2D ROESY, a reasonable geometry for the complex could be proposed implicating the insertion of the m-difluorophenyl ring of FLZ into the wide end of the torus cavity of β-CD.

Large complex molecules of up to 100 or more skeletal atoms with topological peculiarity can be quickly identified using, for example, the expert system Structure Elucidator based on spectral data.

The method is entirely transparent to a user and does not involve any adjustment or decision-making based on spectral data.

Based on spectral emissivity data from early studies, we determined εmax, λmax as 0.85 and 8 μm, respectively.

Matsunaga et al. [49], based on spectral profiler data obtained from Kaguya mission reported iron bearing crystalline plagioclase on the far side of the Moon and Ohtake et al. [50], based on Multiband Imager on Kaguya mission, found high abundance of crystalline plagioclase indicating pure anorthosite (PAN) on the Moon.

The correlation coefficient of protein identifications based on spectral count data in any two biological replicates of a cell state reached values as high as R = 0.96, as shown in a representative comparison involving the G1N1 and G1N2 fractions containing a total of 1239 proteins.

Thereby, based mainly on spectral data (chemical shift, coupling constants, and multiplicity) and in accordance with biochemical knowledge, seven key-metabolites (Fig. 4) were found to be crucial for the two-group separation.

Two different probabilistic approaches of random fatigue are employed; the time-domain approach based on Rainflow and Monte Carlo simulations and the frequency domain approach based on spectral techniques and statistical data.