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Study on New Methods for Determination of Trace Phenol and Anionic Surfactant

Author: ZhuZuo
Tutor: MoZhiHong
School: Chongqing University
Course: Chemistry
Keywords: Phenol Anionic surfactant Miniature spectrometer Sodium nitroprusside The polyaniline coated with gold nanoparticles
CLC: X832
Type: Master's thesis
Year: 2010
Downloads: 68
Quote: 1
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Abstract


Phenol and anionic surfactants are important chemical raw materials, phenol is highly toxic organics, anionic surfactant into the water gathered will lead to the deterioration of water quality, cause harm to aquatic organisms. These two substances great harm to the environment and the human body, therefore, detect environmental phenol in water and an anionic surface active agent has important significance. The research papers spectrophotometry: ① combined with self-made miniature fiber optic spectrometer (MS-2 enhanced) to establish a direct determination of the organic phase absorption spectra based on phenol detection technology for environmental water; ② establish water phase reaction direct determination of phenol method; ③ Based on the novel nanoparticles prepared to explore the nature of the spectral determination of the anionic surfactant. For phenol and anionic surfactant detection method enables developers with a simple instrument, the sample is small, easy to operate, high sensitivity. The main contents include: This chapter is the first time improved 4 - aminoantipyrine antipyrine spectrophotometric method, combined with self-made miniature fiber optic spectrometer absorption spectral feature based method for the determination of phenol. The paper reduces the chloroform was used and the sample amount, and the filtration step is omitted, by quantitative extraction, substituted phenolic reaction Zhao than lam dye pairs of phase transfer of the organic phase the balance, the establishment of the direct determination of organic phase absorption spectrum . Determination of the linear range of the present method is 0.01 to 0.5 mg / L and the detection limit of 0.004 mg / L This method for the determination of phenol in water samples, RSD less than 2.40%, and the recovery in the range of 94% to 101%. The above results show that this method has a wide linear range, high sensitivity and precision, easy to operate, easy to achieve water quality monitoring. Establish a simple and rapid spectrophotometric determination of phenol in water. The method is based on the phenol and sodium nitroprusside in the reagent the presence of hydroxylamine hydrochloride with amino Berthelot color reaction occurs, generating indophenol dyes, thereby subjected to spectral measurement of phenol. The measurement wavelength, pH value, Na2HPO4-NaOH buffer solution was used in an amount, and the amount of sodium nitroprusside, hydroxylamine hydrochloride in an amount, the reaction time of phenol detected. Optimized experimental conditions, the linear range was 0.05 ~ 0.5 mg / L (r = 0.9996). The detection limit of 0.005 mg / L, measured five times the concentration of 0.3 mg / L of phenol parallel to the sample solution, RSD was 1.32%. The above results show that this method has a wide linear range, high sensitivity and precision, easy to operate, easy to achieve water quality monitoring. The surface polymerization of polyaniline coated gold nanoparticles (PAN _AT_ AuNPs), with its surface with a positive charge characteristic of this Law, as a probe, the optimal experimental conditions, the anionic surfactant measured. In this paper, at pH 6, the positively charged polyaniline coated nano-gold particles PAn @ AuNPs adsorbed SDS, leading to PAn @ AuNPs cohesion principle, the successful realization of the 0.1 ~ 2 mg / L concentration range The SDS were detected concentrations of 0.5 and 1.0 mg / L of SDS solution parallel measured five times, and the relative standard deviation of 2.77% and 1.38%, respectively, provide a new method for the detection of anionic surfactant.

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CLC: > Environmental science, safety science > Environmental Quality Assessment and Environmental Monitoring > Environmental monitoring > Water quality monitoring
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