پديدآورندگان :
Amoozgar Fariborz Spectrometry and microelectronic devises department, Institute of Material and Energy, Iranian Space Research Center, Isfahan, Iran , Alinoori Amir Hossein Spectrometry and microelectronic devises department, Institute of Material and Energy, Iranian Space Research Center, Isfahan, Iran , Ghorashi Seyed Alireza Spectrometry and microelectronic devises department, Institute of Material and Energy, Iranian Space Research Center, Isfahan, Iran , Hajialigol Saeed Spectrometry and microelectronic devises department, Institute of Material and Energy, Iranian Space Research Center, Isfahan, Iran , Sheikhbahaee Hamed Spectrometry and microelectronic devises department, Institute of Material and Energy, Iranian Space Research Center, Isfahan, Iran , Sadeghian Kerdabadi Kamal Spectrometry and microelectronic devises department, Institute of Material and Energy, Iranian Space Research Center, Isfahan, Iran , Masjedi Esfahani Majid Spectrometry and microelectronic devises department, Institute of Material and Energy, Iranian Space Research Center, Isfahan, Iran , Narimani Seyed Mahdi Spectrometry and microelectronic devises department, Institute of Material and Energy, Iranian Space Research Center, Isfahan, Iran
كليدواژه :
Chemometrics , Column less gas chromatography ion mobility spectrometry (CLGC , IMS) , Response surface methodology (RSM) , Central composite design (CCD)
چكيده فارسي :
The Chemometrics is a science of using mathematics and statistics to help chemists in designing optimal exoerimental procedures and previding maximum relevant chemical information[1]. The focus of this article is on the modeling and optimization of Column less gas chromatography ion mobility spectrometry (CLGC-IMS) parameters for the detection of narcotics. Column less gas chromatography ion mobility spectrometry is a sensitive, portable, robust, short response and low priced sensor that has a variety of potential applications. CLGC-IMS has the potential to yield low cost suitable sensors for narcotics detection and identification [2]. However, the low sensitivity of (CLGC-IMS) and the presence of memory effect make it difficult for the detection and identification of interested chemicals. Response surface methodology (RSM) is a kind of mathematical and statistical technique for designing experiments, building models, evaluating the relative significance of several independent variables, and determining the optimum conditions for desirable responses [3]. The effects of the duty cycle of the pulse width modulation, carrier gas flow and drift tube tempreture were investigated by Central composite design (CCD).The results showed that the quadratic model is fitted well the experimental results in this work.
