gelatin-based semi-solid EPR diffusion model

Stages

1. 1.
   Analytical profiling of structurally distinct cannabinoids(broad_screen)

   This stage identifies which cannabinoid is the strongest antioxidant candidate before committing to formulation work.

   Selection: Structural characterization and antioxidant profiling across DPPH, hydroxyl, and superoxide radical scavenging assays.

2. 2.
   Liposomal formulation of the selected cannabinoid(library_build)

   This stage converts the selected antioxidant cannabinoid into a delivery format suitable for downstream physicochemical and diffusion testing.

   Selection: Formulate the selected antioxidant payload into soy lecithin liposomes.

3. 3.
   Physicochemical and functional characterization of CBN-loaded liposomes(secondary_characterization)

   This stage checks whether the liposomal formulation remains physically suitable and functionally active after loading CBN.

   Selection: Assess colloidal properties, membrane order, and retained antioxidant activity after encapsulation.

4. 4.
   Diffusion testing in a gelatin-based semi-solid model(confirmatory_validation)

   This stage provides an early-stage screen of whether the formulation improves mobility in a model relevant to dermal application goals.

   Selection: Use EPR imaging to compare diffusion of liposomal CBN against a control solution in a semi-solid model.

5. 5.
   Decision framing for dermal antioxidant application(decision_gate)

   This stage interprets whether the combined data justify positioning the formulation as a promising dermal antioxidant candidate.

   Selection: Integrate physicochemical, antioxidant, and diffusion results to assess promise for dermal antioxidant use.

Steps

1. 1.
   Characterize five cannabinoids by MS and NMR

   Identify structural features relevant to antioxidant function before selecting a formulation payload.

   Structural characterization precedes candidate selection because the study first profiles the tested cannabinoids before choosing one for formulation.

2. 2.
   Measure radical scavenging across DPPH, hydroxyl, and superoxide assays and select CBN

   Rank antioxidant performance and choose the lead cannabinoid for formulation.

   Selection occurs after profiling because the formulation stage is explicitly based on these antioxidant findings.

3. 3.
   Formulate selected CBN into soy lecithin liposomesengineered formulation

   Create a delivery system for the selected antioxidant cannabinoid.

   Formulation follows lead selection because only the top antioxidant candidate was advanced into liposomes.

4. 4.
   Measure colloidal size and membrane order of CBN-loaded liposomesformulation under characterization

   Assess whether the liposomal formulation has favorable colloidal properties and signs of bilayer stabilization.

   Physicochemical characterization is performed after formulation to determine whether the assembled liposomes are suitable for downstream functional testing.

5. 5.
   Test retained antioxidant activity of CBN-loaded liposomes against free CBNformulation under functional comparison

   Determine whether encapsulation preserves radical scavenging function.

   Functional antioxidant testing follows formulation because the key question is whether encapsulation retains activity relative to the free compound.

6. 6.
   Compare diffusion of liposomal CBN and control solution by EPR imaging in a gelatin semi-solid modelformulation and assay platform

   Evaluate whether the liposomal formulation improves mobility in an early-stage dermal-relevant model.

   Diffusion testing is done after physicochemical and antioxidant characterization to assess whether a functionally acceptable formulation also shows improved mobility.

7. 7.
   Interpret early-stage diffusion model results with explicit model limitationcandidate formulation and screening model

   Decide whether the combined evidence is sufficient to position the formulation as promising for dermal antioxidant use.

   This interpretation follows all characterization and diffusion testing so the application claim can be made with stated caveats.