Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Articles by Sonia SOCACI
Total Records ( 2 ) for Sonia SOCACI
  Elena MUDURA , Dorina BRATFALEAN , Maria TOFANA , Sonia SOCACI , Adriana PAUCEAN , Delia Mihaela TRUTA and Valentin MUDURA
  The varietal clasification of hop products according with Romanian and European regulations is done in several groups according with their use in the brewing industry as aroma and bitter hops. The clasification is done according with some chemical parameters, but these do not garantee that the product is a pure variety or is a blanding. Using chemometric method as cluster analysis, clasification according with chemical description of hop products the clasification can be predicted more precisely.
  Crina MURESAN , Maria TOFANA , Sonia SOCACI , Anamaria POP and Cornel LASLO
  Multiresidue methods, which allow the identification/quantification of residues of different analytes at the same time, are advantageously used for monitoring purposes. The multiresidue analysis of OCPs in fat and meat samples involves several steps, first of all the selective extraction of the residues from the homogenized matrix. This work describes the optimization and validation of a multiresidue GC/MS method for the quantification of 18 OCPs in meat samples. An automated system allowed the extraction of 6 samples simultaneously with small volumes of solvent over a 24-hour period. Prior to the analysis, a rapid simple clean-up procedure by SPE (florisil, C18 cartridge) was carried out.An Shimadzu GC-MS System QP-20101, equipped with Autosampler AOC 5000 (Combi Pal). The chromatographic separation was achieved on a 50 m x 0.32 mm i.d. ZB- 5ms capillary column (Phenomenex, USA) with 0.25 μm film thickness. Both data acquisition and processing were accomplished by software GC-MS . Solution Version 2.3.(Shimadzu Corporation) Performance parameters were determined to optimize the GC-MS method (R2, RSD%, limit of detection) as follows:
• the split ratio of 5:1 was chosen by analysis of standard solutions in <SCAN>;
• the ion has been identified and major reference ions, used for identification and dosage using libraries of NIST 127 and NIST 147 spectra;
• we tried increase susceptibility to MS by implementing a quantitative method for determining <SIM>;
• the detection limit was determined by the analysis of the decreasing concentrations <SIM> using the major ions.
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility