Organic chemistry
1. Informatics aided QSRR study of retention index of some volatile compounds

Abbas Farmany

Volume 7, Issue 3, pp. 242-351, Serial No. 24 , Summer 2019, , Pages 242-247

http://dx.doi.org/10.30473/icc.2019.43433.1500

Abstract
  In the present work, an artificial neural network (ANN) model was used to study the quantitative structure retention relationship (QSRR) of retention index (RI) of some volatile compounds in natural cocoa and conched chocolate powder. Molecular structural descriptors are selected using genetic algorithm ...  Read More

Informatics aided QSRR study of retention index of some volatile compounds


Analytical chemistry
2. QSRR models of veterinary drugs in milk in ultra-performance liquid chromatography coupled to time of flight mass spectrometry

Hadi Noorizadeh; Sharmin Esmaeilpoor; Zohreh Moghadam; Shahnaz Nosratolahy

Volume 2, Issue 4, pp. 236-325, Serial No. 5 , Autumn 2014, , Pages 283-299

Abstract
  The veterinary drugs residues are also important pollutants found in milk, since veterinary drugs are commonly used in cattle management. Considering the role of milk in human nutrition and its wide consumption throughout the world, it is very important to ensure the milk quality. A quantitative structure–retention ...  Read More

QSRR models of veterinary drugs in milk in ultra-performance liquid chromatography coupled to time of flight mass spectrometry


Nanochemistry
3. An improved structure models to explain retention behavior of atmospheric nanoparticles

Sharmin Esmaeilpoor; Zahra Shirzadi; Hadi noorizadeh

Volume 2, Issue 1, pp. 1-81, Serial No. 2 , Winter 2014, , Pages 56-71

Abstract
  The quantitative structure-retention relationship (QSRR) of nanoparticles in roadside atmosphere against the comprehensive two-dimensional gas chromatography which was coupled to high-resolution time-of-flight mass spectrometry was studied. The genetic algorithm (GA) was employed to select the variables ...  Read More

An improved structure models to explain retention behavior of atmospheric nanoparticles