Abstract
Normacid syrup consisiting of 17 ingredients, used in the treatment of hyperacidity and gastritis. ?- Sitosterol is one of the phytoconstituent present in Normacid syrup- a poly herbal formulation. In the present study an attempt has been made to develop a HPTLC method for quantitative estimation of ?- Sitosterol in dried plant parts used in formulations. This HPTLC method was found to be reproducible, accurate, precise and detect ?- Sitosterol at nanogram level. The developed HPTLC method would be an important tool in the quality control method of poly herbal formulation. 
 Keywords: HPTLC, Polyherbal, ?- Sitosterol, Gastritis
Highlights
Normacid syrup consisiting of 17 ingredients, used in the treatment of hyperacidity and gastritis. β- Sitosterol is one of the phytoconstituent present in Normacid syrup- a poly herbal formulation
In the present study an attempt has been made to develop a HPTLC method for quantitative estimation of β- Sitosterol in dried plant parts used in formulations
The developed HPTLC method would be an important tool in the quality control method of poly herbal formulation
Summary
HPTLC finger-printing of raw material and finished product and quantitative determination of β- Sitosterol. The HPTLC was carried out using a Hemilton 100 μl HPTLC syringe, Camag Linomat V automatic spotting device, Camag twin trough chamber, Camag TLC Scanner-3, WINCAT integration software, aluminium sheet precoated with Silica Gel 60F254(Merck), 0.2 mm thickness. HPTLC finger printing technique is useful to identify and to check the purity of raw herbal extracts as well as finished product. Forth it is very useful tool in standardizing process of raw herbal extracts and finished products. The most recent automatic device “CAMAG LINOMAT V” was used to apply 1 band of 6 mm width with different concentration of all the extracts and marker solution . Detection: The plate was scanned at UV 366 nm and 254 nm using CAMAG TLC Scanner-3 and LINOMAT-V. Rf value of each compound which were separated on plate and data of peak area of each band was recorded
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