CU FIND (Campbell University, Catherine W. Wood School of Nursing)

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created from code written
for dissertation. Based on the methodology presented in Jiroutek, et al. (2003), the software computes exact target probabilities of interest (including power) for any scalar parameter in a General Linear Multivariate Model (GLMM) with Gaussian errors and fixed predictors. Consisting of a single SAS IML module, this software focuses on sample size computations for studies aims at estimating a confidence interval

Jiroutek, M. R.

CISIZE Version 1.0, SAS-based freeware (and accompanying manual)

https://cufind.campbell.edu/student_pharmaceutical_sciences/1000/thumbnail.jp

Thota, Gowthami

Campbell University
CU FIND
Pharmaceutical Sciences Pharmacy and Health Sciences, College of
2019
Cannabidiol coated 3D printed microneedles for
transdermal diffusion
Gowthami Thota
Follow this and additional works at: https://cufind.campbell.edu/student_pharmaceutical_sciences
Part of the Pharmacy and Pharmaceutical Sciences Commons
This Book is brought to you for free and open access by the Pharmacy and Health Sciences, College of at CU FIND. It has been accepted for inclusion
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Recommended Citation
Thota, Gowthami, "Cannabidiol coated 3D printed microneedles for transdermal diffusion" (2019). Pharmaceutical Sciences. 1.
https://cufind.campbell.edu/student_pharmaceutical_sciences/1
CANNABIDIOL COATED 3D PRINTED MICRONEEDLES FOR TRANSDERMAL DIFFUSION 
Presented by Gowthami Thota*, Masters in Pharmaceutical Sciences Candidate, 
Chantley Thomas, Doctor of Pharmacy Candidate, Campbell University College of Pharmacy & Health Sciences
Faculty Advisors: Scott Asbill, PhD and Mali Gupta, PhD  Committee members: Chris S. Breivogel, PhD and Qinfeng Liu, PhD                                                         
The main aim of this study is to compare the
diffusion of CBD from coated microneedles
with topical formulation.
The microneedle patch containing CBD will
be more effective in delivering across the
porcine skin membrane as compared to a
topical formulation.
HYPOTHESIS   
OBJECTIVE
BACKGROUND
 Microneedles (MN) are micron sized
transdermal needles which delivers drug
without causing “nociception” (pain).
 During 3D printing Stereolithographic
(STL) file is involved in making the 3D
object.
 Cannabidiol (CBD) is one among the 104
naturally occurring cannabinoids. It is non-
psychoactive.
Fig: 3.Texture analyzer 
3D PRINTING
METHOD OF PREPARATION
TEXTURE ANALYSIS
Fig: 2. Preparation of microneedles using 3D printing.
RESULTS   
Fig: 5.a) Microscopic image of uncoated MN, b) Coated MN tip 
CONCLUSIONS
 MN were successfully prepared using 3D printing.
 Hardness was found to be 32.78 N ± 0.02 and
Elastic modulus was 1405.55±811.50.
 Coated microneedles were prepared.
 Franz diffusion studies are still going on.
DIP COATING
Fig: 4.Illustration of dip coating with formulation
Fig: 1.Schematic representation of microneedles 
Time (s)
Fo
rc
e 
(N
)
Strain (%)
St
re
ss
 (P
a)
Fig: 6. Graphical representation of a) Hardness, b) Elastic modulus
a)
b)a)
LIMITATIONS
 Lack of uniform drug coatings on microneedle
patch.
 Dosing is limited to 1 mg.
32.78 N ± 0.02 1405.55±811.50
REFERENCE: PHSC 620 Gowthami Thota, Advisors: Scott Asbill , PhD and  Mali Gupta, PhD.
REFERENCE: PHSC 620 Gowthami Thota, Advisors: Scott Asbill, PhD and  Mali Gupta, PhD.
b)


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Cannabidiol coated 3D printed microneedles for transdermal diffusion

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