Thin Layer Chromatography Fingerprints of Leaves of Three Guava Types

Abstract

Guava leaf contains chemical compounds having antioxidant activity. Quality control methods are needed to maintain the quality of raw materials. The objective of this research is to find the chromatographic fingerprints from guava leaves by using the profile of thin layer chromatography (TLC) which is developed into densitogram. Fingerprint patterns were developed in the form of TLC and densitogram generated by using the software Image J. Fingerprints were generated through optimization of mobile phase composition with the simplex centroid design (SCD). The leaves of three guava types were extracted using two- solvent composition of 96% and 70% methanol. The extracts contained flavonoids and tannins which were detected qualitatively. SCD evaluation shown that the best fingerprints based on its resolution spots from extract methanol 70% were white guava (JBP) and red guava (JBM) with 5 spots and 6 spots, respectively, while extract metanol 96% for guava 7 (JB7) resulted 5 spots. All fingerprints were obtained from chloroform:ethyl acetate as mobile phase with ratio for JBP, JBM, and JB7 were (0.6:0.4), (0.7:0.3), and (0.8:0.2), respectively. Antioxidant activities represented by IC50 value for JBP, JBM, and JB7 were 10.73, 9.45 and 2.63ppm respectively.