Shodhyantri Engineering Services
Research · Analysis · Editing · Publication Support
Design, statistics, data interpretation and thesis editing for formulation, analytical, pharmacology and pharmacognosy research by M.Pharm and PhD scholars.
Tell us about your pharmacy research support need. We reply within one working day.
Pharmacy research support at Shodhyantri is built for M.Pharm, Pharm.D and PhD scholars in pharmaceutics, pharmacology, pharmaceutical analysis, pharmaceutical chemistry and pharmacognosy. We help with experimental design, formulation optimisation, dissolution and release kinetics, method validation data, dose-response analysis, animal study statistics and the structuring and editing of thesis chapters and papers. Support can start before experiments or after data collection is complete.
Laboratory work in pharmacy is time-consuming and expensive, so analysis decisions should be made before experiments, not after. We help plan designs, choose statistical tests and interpret results against pharmacopoeial and ICH expectations. The laboratory work, observations, ethics approvals and scientific conclusions stay entirely yours. We provide the structure, numbers checking and presentation that help your work read clearly to examiners and reviewers.
Pharmacy research spans formulation development, drug analysis, biological evaluation and natural product studies. Each branch has its own expected analyses: release kinetics and similarity factors in pharmaceutics, linearity and precision in analytical validation, dose-response curves and group comparisons in pharmacology, and phytochemical screening and standardisation in pharmacognosy.
Studies on animals in India require approval from an Institutional Animal Ethics Committee under CCSEA (formerly CPCSEA) norms. Analytical methods are typically validated following ICH Q2 guidance, and stability studies follow ICH Q1 guidelines.
Factorial and response surface designs identify optimal formulations with fewer batches than trial and error, saving material and time.
Release data are fitted to multiple models, compared by R-squared and other criteria, and the release mechanism explained.
Linearity, accuracy, precision, LOD and LOQ results are tabulated in the format examiners and journals expect.
One-way ANOVA with Dunnett's or Tukey's test, or repeated measures where needed, is chosen to match your group design.
IC50 and EC50 are estimated by nonlinear regression with confidence intervals, not read off a graph by eye.
We edit and structure chapters so materials, methods, results and discussion follow a clear and logical order.
Ten stages, each with a clear output. Nothing moves to the next stage until you have reviewed the last one.
— You review every stage first, then decide —
Concentrations, dilution factors and units are verified before any calculation is accepted.
Replicate values are checked for outliers and acceptable relative standard deviation.
Kinetic and dose-response fits are compared on objective criteria, not chosen for convenience.
Statistical tests are matched to group numbers, design and data distribution.
Validation and stability results are checked against ICH and pharmacopoeial acceptance criteria.
Values in graphs, tables and text are matched so no numbers conflict.
Every stage is shared with notes explaining what was changed and why. You and your supervisor check it, and the next stage starts only after your go-ahead.
| Common problem | How Shodhyantri helps |
|---|---|
| Optimising formulations one factor at a time without testing interactions. | We use factorial or response surface designs that estimate interactions and find optima with fewer batches. |
| Calculating f2 using too many time points after the plateau. | We apply standard f2 conditions, including limiting points after 85 percent release, and report them in methods. |
| Estimating IC50 by drawing a line on a bar graph. | IC50 is calculated through nonlinear regression of log concentration against response, with confidence intervals reported. |
| Running multiple t-tests between treatment groups and the control. | We use ANOVA followed by Dunnett's test against control, or Tukey's test for all pairwise comparisons. |
| Reporting validation results without stating acceptance criteria. | Each parameter is shown with its ICH-based acceptance criterion so readers can judge compliance at a glance. |
| Presenting mean values without error bars or a measure of spread. | Graphs and tables include standard deviation or SEM, clearly labelled, with the number of replicates stated. |
Decide replicate numbers in advance. Too few replicates weaken statistics and are hard to add later.
Keep raw absorbance or peak areas, not just final concentrations. Examiners may ask how values were derived.
Dose-response curves are usually fitted on log concentration. It gives a sigmoid shape and more reliable estimates.
The Korsmeyer-Peppas exponent helps explain whether release is Fickian or anomalous. State it with the model fit.
India falls in zone IVb for ICH stability testing. Choose storage conditions that match the target market.
Name the IP, BP or USP edition used for tests and limits. Editions change limits over time.
ARRIVE guidelines improve reporting of animal experiments and are recommended by many pharmacology journals.
Label and store chromatograms by date and sample. Representative chromatograms often belong in your thesis.
Your work is handled by people who read your field's literature, not by a single generalist.
A PhD-qualified specialist from your field who checks the research logic, gap and contribution.
Handles statistics, models and qualitative coding, and documents every analytical decision.
Improves structure, flow, clarity and academic tone without changing your meaning.
Builds and validates MATLAB, Python, ANSYS or COMSOL work where your study needs it.
Checks grammar, consistency, numbering, citations and the small errors examiners notice.
Applies your university or journal template, reference style and front matter exactly.
Yes. We help set up Box-Behnken, central composite or factorial designs, analyse responses, check model adequacy and use desirability functions for optimisation, whether in Design-Expert, Minitab or similar software. Model adequacy statistics and contour plots are prepared for your thesis.
No. Laboratory work, animal studies and observations are your responsibility and must be done under your institution's approvals. We support design, analysis, interpretation and documentation of the work you perform. We can also help you plan experiments so the data you collect is easy to analyse later.
Yes. We normalise your absorbance data, fit a nonlinear dose-response model and report IC50 with confidence intervals, along with clear graphs suitable for your thesis or paper. We also check that control and blank wells were used correctly, since normalisation errors change IC50 values considerably.
No. Journals decide acceptance through peer review. We help make your data analysis correct and your reporting clear, which improves the quality of your submission but cannot guarantee any editorial decision. Choosing a suitable journal remains your decision.
Yes. We organise linearity, accuracy, precision, robustness, LOD and LOQ data following ICH Q2, calculate statistics such as RSD and regression parameters, and prepare tables for your thesis. Acceptance criteria are shown next to each result so compliance is easy to see.
No. We support structuring, editing, analysis and presentation. Your experiments, interpretation and writing remain your own, as your university and academic integrity rules require. We help you structure chapters, check data and tables, and edit language so your own work reads clearly and meets your university format.
Yes. For Pharm.D and clinical pharmacy projects, we support questionnaire design, sample size, data analysis and reporting for prescription pattern, adverse drug reaction and drug utilisation studies. Causality assessment scales such as WHO-UMC or Naranjo are presented correctly where your study uses them.
We provide research guidance, statistical analysis, editing, formatting and training support. All research content remains the scholar's own work, in line with UGC and university academic integrity norms. We do not guarantee publication, acceptance, indexing or academic outcomes: journals decide through peer review and universities award degrees.
Share your topic, draft or data. We will tell you honestly what it needs, and what it does not, before you pay anything.