hrvatski jezikClear Cookie - decide language by browser settings

Inhibition of Copper Corrosion by self Assembled Amphiphiles

Telegdi, Judit; Otmačić Ćurković, Helena; Marušić, Katarina; Al-Taher, Faraj; Stupnišek-Lisac, Ema; Kálmán, Erika (2007) Inhibition of Copper Corrosion by self Assembled Amphiphiles. Chemical and Biochemical Engineering Quarterly, 21 (1). pp. 77-82. ISSN 0352-9568

PDF - Published Version - research data
Download (342kB) | Preview


The advantage of nanolayers that can replace the traditional inhibitors of solids is the significant decrease in chemicals. The consequence is a lower environmental pollution. On a copper surface, special hydroxamic acid amphiphiles (CnH2n+1CONHOH, n =9– 17) were used in self-assembled molecular layers (SAM). The impact of time in SAM formation as well as the carbon chain length in the amphiphilic molecules was in the focus of the experiments. The time-dependent layer structure was characterized by sum frequency vibrational spectroscopy. The anti-corrosion efficiency of nanolayers was measured by different electrochemical techniques (electrode impedance spectroscopy, polarization) and by micro-calorimeter. The comparative analysis of data proved that the increase in time of SAM formation up to 1 hour enhances the stability, the ordering as well as the efficiency of nanolayers. The length of the carbon chain in the SAM layer, less significantly increases the anticorrosion efficiency in a corrosive environment than the layer thickness in LB films.

Item Type: Article
Uncontrolled Keywords: Alkyl hydroxamic acid; self assembling molecular layer; inhibition; corrosion; microbial
NATURAL SCIENCES > Chemistry > Physical Chemistry
TECHNICAL SCIENCES > Chemical Engineering
Project titleProject leaderProject codeProject type
Novi netoksični inhibitori korozije metala-Helena Otmačić Ćurković125-1252973-2572MZOS
Depositing User: Katarina Marušić
Date Deposited: 02 Jul 2019 09:21
Last Modified: 09 Jul 2019 11:57

Actions (login required)

View Item View Item


Downloads per month over past year