Phytochemical analysis on the basis of colour intensity is merely qualitative screening, and in my own opinion, there is no point in doing statistically analysis for qualitative data. its either positive (+,++ or +++) or negative (-)

While doing phytochemicals analysis I too found colour intensity variation in the plant extracts. I applied statistical methods for the quantitative analysis of the phytocompounds. Otherwise, it's impractical for qualitative analysis. As you have given rank scores according to colour intensity , you can represent in the form of graphs. You can also perform spectrophotometric analysis.

You can adopt the spectrophotometer to read the absorbance and determine which the most active content of the material is

Chandrima Debi Rajaa K. Baker Bashir Lawal thank you very much for responding and the advice. I will get to working on quantification as well.

If simple phytochemical tests (qualitative tests), it is not necessary to make statistical tests on the other hand if it is a question of quantification and dosage, it may be possible to apply statistical statistical tests. The choice of the test depends on the purpose of the comparison.

Dr Benkhaled A

For the qualitative screening you have carried out just present your results as +, ++, +++, etc based on the colour intensity or - if absent. For the spectrophotometric quantification analysis, run sample in triplicate so that you can present your results as mean with standard deviation. But you should then perform post hoc analysis to determine significant difference between the samples. Present your analyzed results in a table.

Best regards

Statistical analysis will be necessary only you carried out quantitative phytochemical analysis. This also depends on your research design and what you intend to achieve in the end.

If you later decide to go for quantitative analysis, run sample in triplicate and if you have up to 3 or more different samples, one-way ANOVA and Duncan multiple range test (P