Simultaneous Determination of Two Alcohols and One Anionic Surfactant in Commercial Liquid Cleaners Using Partial Least Square Regression by Fourier Transform Infrared Spectrometry
| Autor: | Mahboubeh Mansourian, Kazem Kargosha, Maryam Nazifi, Seyyed Hamid Ahmadi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Chromatography
Ethanol Chemistry 020209 energy General Chemical Engineering Sodium 010401 analytical chemistry chemistry.chemical_element 02 engineering and technology General Chemistry Condensed Matter Physics 01 natural sciences Lauryl ether sulfate 0104 chemical sciences chemistry.chemical_compound Pulmonary surfactant Reagent Partial least squares regression 0202 electrical engineering electronic engineering information engineering Fourier transform infrared spectrometry |
| Zdroj: | Tenside Surfactants Detergents. 56:25-34 |
| ISSN: | 2195-8564 0932-3414 |
| Popis: | A simple, fast, efficient, and reagent free procedure without any chemical pretreatment has developed for simultaneous analysis of sodium lauryl ether sulfate (SLES), ethanol and isopropanol in some commercial cleaners. This determination was carried out using attenuated total reflectance Fourier transform infrared spectrometry (ATR-FTIR) and multivariate analysis. Partial least-squares (PLS) statistical method for quantitative analysis was used to determine the spectra of three components in a mixture of liquid household detergents. The statistical parameters such as Root Mean Square Error of Calibration (RMSEC), Root Mean Square Error of Cross Validation (RMSECV), Standard Errors of Prediction (SEP) and square correlation coefficient (R2) were obtained 0.07, 0.18, 0.16 (v/v%), 0.15, 0.32, 0.69 (v/v%), 0.22, 0.34, 0.57 (v/v%) and 0.9995, 0.9996 and 0.9998 for SLES, isopropanol and ethanol respectively. Good agreements were achieved between our results and the reference and standard values. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|