Herbal medicines are prepared by a standard method in Ayurveda and its efficacy is tested by animal experiments. Sometimes animal experiments are excluded and the herbal medicine is prepared in different batches. These batches are analyzed by HPTLC, or other methods. How can these samples be analyzed statistically .e.g Three batches of a herbal tablet are prepared, how can we analyze them statistically?
Dear Jyoti
As you are analyzing your sample with HPTLC. You can opt HPTLC fingerprinting for all the batches. You may also opt any marker compound for qualitative as well as quantitative evaluation in all batches.
Yes, I agree to Dr sethiya.
HPTLC fingerprinting of Whole combination along with set a limit of Total Polyphenols content, Total Saponins content, Total alkaloids content as well as at least 2-3 marker compound quantification by HPLC/HPTLC etc.
If TLC is done then what more can be explored.the rf values are the only guide to the phytoconstituents.
Dear Jyoti
Yes you can compare the spot by measuring Rf value. But this may not be suggested for proper quality control. For that you have to need more sophisticated method like HPTLC or HPLC.
There is one empirical way.It is not true quality control but still we are using in our Industry for quick confirmation. Make a scan copy of TLC plate after visualization and save it . It is possible with normal scanner. Keep batch to batch record. It can easily indicate any variation.But the true QC is using HPTLC/HPLC as informed above by Dr Sethiya
Sethia Sir and Padmavar sir
can you kindly guide me how should i go about statistically analyzing my data
Dear Jyoti
Ok let me know about your data. Which data you want to statistically analyze. How I can help you.
You can take three replicate (reading), then calculate mean and put this value in formula and calculate standard deviation. If you are conducted experiment on animals that times you can calculate standard error and LD 50 values
Respected Researchers,
As a matter for herbal drug standardization, several approaches might be used. I am hereby summarizing a few of them for your ready reference.
1. Standardization using Phytochemical Fingerprinting
For Phytochemical fingerprint analysis, one might use Quantitative estimation of ALkaloids, Flavonoids, Terpenoids and Polyphenols. After analyzing the quantities of phytoconstituents in each batch, one might just compare these quantities so as to get a rough idea about the homogeneity of extracts produced in different batches.
2. Standardization using FTIR Spectroscopy
Fourier Transform Infra Red Spectroscopy may also provide an effective means of comparing different batches of herbal extracts as far as functional group analysis is concerned.
3. Bioactivity based Fingerprinting
Bioactivity fingerprint analyses can also indicate the homogeneity of different batches of extracts by means of comparing the IC 50 value ranges for assays like antioxidant profiling, anti-inflammatory cox-assay, Minimum Inhibitory Concentration assay etc.
4. Chromatographic Standardization
HPLC / LCMS analysis or HPTLC analysis can also provide an effective way of comparing different batches of herbal extracts directly by comparing the presence of standard markers.
After analysing the said values, each time, one might then use standard analyses of Multi-variate ANOVA and Regression/correlation analysis to analyse the results statistically. SPSS might be used for the same. This will provide you direct analysis of any significant variations among the said batches of extracts. p value will be an indicative measure for significant variations, if any.
Regards
Pallavi Thakur
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