Separation and determination of estrogen in the water environment by high performance liquid chromatography-fourier transform infrared spectroscopy

Abstract

The components for connecting high-performance liquid chromatography (HPLC) with Fourier-transform infrared spectroscopy (FTIR) were investigated to determine estrogen in the water environment, including heating for atomization, solvent removal, sample deposition, drive control, spectrum collection, chip swap, cleaning and drying. Results showed that when the atomization temperature was increased to 388 K, the interference of mobile phase components (methanol, H2O, acetonitrile, and NaH2PO4) were completely removed in the IR measurement of estrogen, with 0.999 of similarity between IR spectra obtained after separation and corresponding to the standard IR spectra. In experiments with varying HPLC injection volumes, high similarity for IR spectra was obtained at 20 ul injection volume at 0.01 mg/L BPA while a useful IR spectrum for 10 ng/L BPA was obtained at 80 ul injection volume. In addition, estrogen concentrations in the natural water samples were calculated semi-quantitatively from the peak intensities of IR spectrum in the mid-infrared region.

Not Everybody Sees the Ness in the Darkness: Individual Differences in Masked Suffix Priming

“…Hence, we took a closer look at how the suffix priming data were modulated as a function of the non-dichotomized measure of reading speed. Instead of using linear mixed-effect models (LMM), we opted for GLMM given that they are better suited for investigating individual differences by satisfying normality assumptions without requiring data transformation (see Lo and Andrews, 2015 , for further discussion).…”

“…The model used to explain the untransformed RTs in the suffix priming lexical decision task included Relatedness as a fixed factor (Related|Unrelated; with Related as the reference level) together with the mean RT in the monomorphemic lexical decision task (factor Speed), and Items and Participants were added as random factors (see Table 3 ). An inverse Gaussian distribution of RTs and a linear relationship between the predictors and those RTs (identity link function) were assumed (see Lo and Andrews, 2015 ). Different model structures were considered, and the data were originally modeled by adding the maximal random slope structure (cf.…”

Determination of Phenols Isomers in Water by Novel Nanosilica/Polydimethylsiloxane-Coated Stirring Bar Combined with High Performance Liquid Chromatography-Fourier Transform Infrared Spectroscopy

“…The couple of ATR-FTIR and HPLC was investigated for separation and determination of target contaminants 31 , especially for the identification of contaminants isomers that makes up the shortcoming of UV detector.…”

Extraction Systems and Analytical Techniques for Food Phenolic Compounds: A Review

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