Engineering Lotion
by Season Hill Amanda Robben
Engineering Lotion by Season Hill - - PowerPoint PPT Presentation
Engineering Lotion by Season Hill Amanda Robben Purpose Develop a moisturizing lotion to treat ichthyosis and xerosis Design the manufacturing procedure for the lotion
Engineering Lotion
by Season Hill Amanda Robben
Develop a moisturizing lotion to treat
ichthyosis and xerosis
Design the manufacturing procedure
for the lotion
The Skin Skin Disorders Treatment Consumer Satisfaction Model Demand Model Manufacturing Process Economic Analysis Future
barrier to provide immunity from disease
by replacing the
layers: epidermis, dermis and subcutaneous
Source: http://cancer.healthcentersonline.com/skincancer/basalcellcarcinoma.cfm
The outermost layer
Composed of several
layers
Stratum Corneum (1)
is outermost layer of the epidermis
Source: www.eucerim.co.uk
Interacts directly with environment Approximately 20 cell layers thick Location in which desquamation
Desquamation is the shedding of the
top layer of cells in the stratum corneum
Approximately 1 layer per day is
released
surrounded by a hydrophobic lipid bilayer
water removal from the skin to the atmosphere
moisturizing factors (NMF) responsible for the absorption and retention of water
www.cerave.com/barrier.htm
Reduced water content in Stratum
Corneum
Occurs when natural moisturizers on the
skin’s surface are removed
Caused by overexposure to water, sun, or
cold weather
Symptoms include dry, itchy skin
Genetic disorders in the
production and/or desquamation of cells
Rapid production of skin cells Desquamation is slowed or
inhibited
Results in dry and
thickened, scaly skin
Incurable disorders
Source: Geneva Foundation for Medical Education and Research, www.gfmer.ch
Accounts for 95% of all ichthyosis
cases
Affects 1 in 250 people Caused by low water content in
Stratum Corneum
The enzymatic reactions controlling
desquamation are inhibited
Source: www.ichthyosis.com
Effects on Skin Barrier
Corneum results in a compromised barrier
to prevent excessive water loss Compromised Barrier Intact Barrier
Source: http://www.cetaphil.com.au/importance_of_your_skin_more.asp
that replenish and retain water content
effectively treat the disorders:
1)
Promote desquamation
2)
Deliver moisturizing agents to underlying skin
3)
Restore the skin’s lipid bilayer
The simplest vehicle for
skin moisturizers are emulsions
For lotions, oil-in-water
emulsions are used
phase
Source: http://www.pg.com/science/skincare/Skin_tws_101.htm
Moisturizer Formulation (cont.)
Lotions are composed of both active
and inactive ingredients
Active and Inactive ingredients result
in a combination of properties (i.e. effectiveness, smoothness, creaminess, etc.)
Moisturizer Formulation (cont.)
Active Ingredients and their function
Fill intercellular spaces of skin Emollients Promote dead skin removal Exfoliants Prevent water loss from skin Occlusives Attract and bind to water Humectants Function Actives
Moisturizer Formulation (cont.)
Inactive Ingredients and their function
Provide desirable color Color Additives Provide desirable scent Fragrant Components Adjust pH pH adjustors Increase viscosity Thickeners Antimicrobials and antioxidants Preservatives Stabilize the emulsion Emulsifying Agents Contain and disperse ingredients Solvents
Function Inactives
The FDA defines cosmetic products as
“…articles intended to be applied to the human body for cleansing, beautifying, promoting attractiveness”
Skin moisturizers are considered
cosmetic products and do not have to undergo FDA process
However, cosmetics are subject to
ingredient restrictions set forth by the “Cosmetic Ingredient Review”
Source: http: www.cfsan.fda.gov/~dms/cos-206.html
Consumer Satisfaction Model
Consumer Satisfaction Model
A model was developed to assess the
consumer needs
The model measures how satisfied the
consumer is with the properties of the lotion
Consumer Satisfaction Function
Determine the relationship between the
consumer and physical properties
Weight the properties according to
importance to consumer
) 1 ( ) 100 ( ) 100 ( − = − = − = = ∑ attributes consumer
scores normalized y property
weight w
satisfacti S y w S
i i i i i i
Consumer tests are used to determine
the satisfaction of the consumer for each property
The consumers rates the properties
based upon extremes (i.e. very thin to very thick)
Consumer ratings are then correlated to
the physical properties to find consumer satisfaction
Related Properties
Consumer
Physical
and their healing ability
function
and location
∞ − = = = − = − = = =
− ∑ ∞ − − − =
1 3 3
2 2 2 sin 1 1 2 1
from nteger i n depth desired x surface the from corneum stratum to in nce dista L continuum corneum stratum phase the
factor n retardatio R continuum corneum stratum phase
t coefficien diffusion effective D depth desired at ingredient
ion concentrat ideal C depth desired at ingredient
ion concentrat C
sc sc sc ideal w w
sc L sc R t n sc D e sc L x n x n sc L x ideal w C w C π π π
Source: A Geoscience Approach to Modeling Chemical Transport through Skin
1.
Count the scales per square inch of skin.
2.
Apply given amount of lotion to one of the designated areas while using other area as control.
3.
Consumer rates lotion based upon number of scales remaining after a specified amount of time.
0.2 0.4 0.6 0.8 1
Consumer Rating of Effectiveness Satisfactio Fraction.
Numerous Scales Several Scales No Scales
Assumptions:
0.2 0.4 0.6 0.8 1 C/Cideal Consumer Rating of.. Effectiveness
No Scales Several Scales Numerous Scales
Based on surface
tension
Surface tension of
each ingredient is found using:
Surface tension of
the lotion is found using:
( ) [ ] ( )
) (
4
pressure low at neglected vapor
density liquid
density structure upon dependent value parachor P P
v l v l
= = = − = ρ ρ ρ ρ γ
Source: Surface Tension Prediction for Pure Fluids & http://www.tu-chemnitz.de/chemie/physchem/files/praktika/pcf/gcii6.pdf
( )
angle contact emulsifier water between tension surface emulsifier
between tension surface water
between tension surface
we
we
= − = − = − = − = θ γ γ γ θ γ γ γ cos
Surface tension
between the skin and the lotion is found using:
angle contact emulsion
tension surface skin
tension surface emulsion skin
tension surface
e s se e s se
= = = − = − = θ γ γ γ θ γ γ γ cos
Source: http://www.pcn.org/Technical%20Notes%20-%20Corona.html & Comparison of surface free energy between reconstructed epidermis and in situ human skin
Skin Emulsion θ
spreadability is wettability
correct values for this were not obtained.
spreadability using only surface tension between skin and emulsion
t Coefficien ity Spreadabil S S
s e e se s s e
= + − =
/ /
) ( γ γ γ
Source: Surfactants and Interfacial Phenomena
Spreadability (cont.)
1.
Pour given amount
2.
Measure distance lotion travels in designated amount
3.
Consumer rates spreadability of lotion
0.2 0.4 0.6 0.8 1 Consumer Rating of Spreadability Satisfaction Fractionn
Travels no distance Travels fair distance Travels Far Distance
Source: http://en.wikipedia.org/wiki/Surface_tension
Spreadability (cont.)
200 400 600 800 1000 1200 Surface Tension (mN/m) Consumer Rating of Spreadability
Travels far distance Travel fair distance Travels no distance
Assumptions:
surface tension between the skin and lotion
Based on viscosity, η: Viscosity found for each ingredient Viscosity of an emulsion was found using:
( ) ( ) ( ) ( )( )
3 / 1 7 3 4 3 10 7 2 7
) ( cos / cos 1 1 10 1 25 1 10 1 4 11 84 10 4 5 . 5 1 φ λ φ κ λ λ κ λ λ λ φ λ κ λ λ η = = = − − + − − − − + − + + = phase dispersed the
fraction volume phase continuous
ity vis phase dispersed
ity vis
5 .
η = thickness
Sources: 1.Evaluation of theoretical viscosity models for concentrated emulsions at low capillary numbers; 2. Chemical Product Design
1.
Place given amount of lotion on pad of thumb.
2.
Consumer rubs lotion between thumb and index finger in lateral motion.
3.
Consumer rates thickness of lotion.
0.2 0.4 0.6 0.8 1 Consumer Rating of Thickness Satisfaction Fractionn
Very thin Moderately thick Very thick
50 100 150 200 Thickness Consumer Rating of. Thickness
Very thick Very thin Moderately thick
concentration of insoluble ingredients
1.
Apply given amount of lotion to designated region on skin.
2.
Place a piece of paper
slowly 90 degrees.
3.
Consumer rates lotion based on how easily paper slides off skin.
0.2 0.4 0.6 0.8 1 Consumer Rating of Greasiness Satisfaction Fractionn
Falls Not Easily Falls Moderately Easy Falls Easily
content in the lotion
lotion becomes a water-in-oil emulsion resulting in a sharp increase in greasiness
0.2 0.4 0.6 0.8 1 Concentration of Insolubles Consumer Rating of.. Greasiness
Falls Not Easily Falls Easily Falls Moderately Easy
coefficient of friction, µ and greasiness
1.
Apply lotion to skin in lateral motion
2.
Consumer then rates smoothness
0.2 0.4 0.6 0.8 1 Consum e r Ra ting of Sm oothne ss Satisfaction Fractionn
N ot very s m ooth Moderately s m ooth
V ery smooth
Assumptions:
inversely proportional to the coefficient of friction
0.2 0.4 0.6 0.8 1 Concentration of Insolubles Consumer Rating of.. Smoothness
Very smooth Moderately smooth Not very smooth
Based on the thickness and smoothness Creaminess is found using:
( )( )
[ ]
5 .
smoothness thickness ness Creami =
Source: Chemical Product Design
1.
Consumer swirls finger in container
2.
Consumer rates creaminess
0.2 0.4 0.6 0.8 1 Consumer Rating of Creaminess Satisfaction Fractionn
Not cream yModerately creamy Very creamy 1 2 3 4 5 6 7 8 (Smoothness*Thickness)^0.5 Consumer Rating of Creaminess. Not creamy Moderately creamy Very creamy
Based on the diffusion rate of each
ingredient
Found using the time to steady-state
value
sc sc ss
D xR t 45 . =
Source: A Geoscience Approach to Modeling Chemical Transport through Skin
Test:
1.
Apply a known amount of lotion
2.
Measure time for lotion to completely absorb into skin
3.
Consumer scores absorption rate
0.2 0.4 0.6 0.8 1 Consumer Rating of Absorption Rate Satisfaction Fractionn
Slow Moderate Fast
Assumptions:
2 4 6 8 10
Steady-State Time (min)
Consum er Rating of Absoption Rate
Fast Moderate Slow
Consumer Satisfaction Model
Creaminess Effectiveness Ingredient Fraction formulation min % formulation max % (Smoothness*Thickness)^0.5 Cw/Cw
Deionized Water 70.0000% 50.00% 70.00% 0.50 Occlusives petrolatum 0.0000% 0.000% 5.00% 0.35 Ceramide* 3.0002% 0.00% 5.00% 0.32 Dimethicone 0.0141% 0.00% 10.00% 0.35 Cholesterol* 1.0001% 0.00% 5.00% 0.35 Total Mixture Value 100.0000% 0.748513656 0.47 Consumer Score 9.76307994 3.13 Happiness percentage 0.777602044 0.45 Weight of variable 0.05 0.450000682 Relative happiness (%)= 68.12
Maximum Satisfaction Product
Exfoliant 1.0000% Lactic Acid Preservative 5.0000% EDTA Occlusive 0.0141% Dimethicone Color Additive 0.0500% Titanium Dioxide Emulsifier 8.8316% Cetyl Alcohol pH adjustor 0.0040% Maleic Acid SC lipid 1.0000% γ-linoleic acid Preservative 5.0000% Phenoxyethanol Thickener 5.0000% Carbomer Emollient 0.0500% Castor Oil Occlusive 1.0001% Cholesterol Occlusive 3.0002% Ceramide Humectant 0.0500% Sorbitol Solvent 70.0000% Deionized Water
Function Composition Ingredient
Competitor Satisfaction-51%
Preservative 0.200% Phenoxyehtanol Preservative 0.050% Propylparaben pH adjustor 0.360% TEA Fragrance 0.100% Fragrance Emollient 6.200% Decyl Oleate Emollient 10.300% Mineral Oil Emulsifier 2.000% Cetyl Alcohol Emulsifier 3.000% Dilaureth-4 Phosphate Preservative 0.150% Methylparaben Humectant 3.000% PEG Occlusive 0.200% Allantoin Colorant 3.000% Titanium Dioxide Thickener 0.600% C10-30 Alkyl Acrylate Solvent 70.840% Deionized Water Function Composition Ingredient
Source: Cosmetic and Toiletry Formulations, Volume 4 (2nd ed.)
demand s competitor d demand
d price s competitor p price
p product
awareness S S
d d d p d p
' '
2 1 2 1 1 2
2 1 2 2 1 1
= = = = = =
=
α β
β α α β
Budget Model
price is the main determining factor
Fixed Demand Model
is not as significant
We initially applied the budget model, but
used the fixed demand model when this failed (i.e. individual demands exceed total demand)
Budget Model Fixed Demand Model
α β
β α
1 1 2 1 1 1 2 1 2 1 1 2 2 2 1 1
d p d p Y p p d p d p Y d d p d p Y ⋅ − = ∴ − = ⇒ + =
−
( )
α β α β α
β α
− − −
− = ∴ + = − = ⇒ + =
1 1 1 1 1 1 2 1 1 2 2 1
d D d d d U ximizing ma and d D d d d D
Ichthyosis Vulgaris
disease that cannot be cured: market demand should not decrease
the disorders worsen in colder, drier climates
Source: www.ichthyosis.com
Based on Satisfaction
Model
Target audience chosen
by determined weights of model
Based on current model,
main target audience is the southwest
However, lotion can enter
Phoenix, AZ
Based on our target
market
Centrally located
within market
Inexpensive property
value
High Productivity Low Labor costs
Source: http://www.rlmartin.com/photos/scenic/arizona/default.htm
aqueous and oil phases
1) Heat and mix aqueous and oil phases
separately
2) Combine both phases into one batch 3) Perform post treatment modifications (i.e.
decrease particle size)
80,200 Storage Tanks 158,900 Total 15,000 Colloid Mill 5,000 2 Pumps 21,000 Homogenizer 4,100 Bath Sonicator 13,500 Oil Phase Mixing Tank 20,100 Water Phase Mixing Tank Cost ($) Equipment
Source: www.mhhe.com/peters-timmerhaus & www. heilscher.com/
Maximum Satisfaction Product
NPW is always negative for varying α
values and our product price (p2=$10)
500 20 40 60 80 100 P1 ($) NPW (million $)) α = 0.1 α = 0.2 α = 0.3 α = 0.4 α = 0.5 α = 0.6 α = 0.7
Maximum Satisfaction Product (cont.)
Increasing
competitor’s price (i.e. p2=$15)
Decreasing
competitor’s price (i.e. p2=$5)
1000 20 40 60 80 100 P 1 ($) NPW (million $)) α = 0.1 α = 0.2 α = 0.3 α = 0.4 α = 0.5 α = 0.6 α = 0.7
500 10 20 30 40 50 P1 ($) NPW (million $)) α = 0.1 α = 0.2 α = 0.3 α = 0.4 α = 0.5 α = 0.6 α = 0.7
Maximum Satisfaction Product
satisfaction of 68 %
not economically feasible to manufacture $ 5,900 γ-Linoleic Acid $ 2,100 Carbomer $ 3,000,000 Ceramide $ 330 Cholesterol $ 120 Dimethicone Cost ($/kg) Ingredient
Since Maximum Satisfaction Product cannot be
economically produced, we had to develop a profitable product
Profitable product includes:
Maximum Profit Product (cont.)
Solver was used to maximize the
NPW with a constant α value at 0.8
The ingredients and their
concentrations were parameters that solver could manipulate to maximize NPW
Maximum Profit Product (cont.)
satisfaction product was at 68%
Exfoliant 1.0000% Malic Acid Emulsifier 13.9500% Cetearyl Alcohol pH adjustor 0.0040% Citric Acid Preservative 1.0000% Phenoxyethanol Thickener 2.0000% Isostearic Acid Emollient 1.0460% Isopropyl Palmitate Occlusive 1.0000% Petrolatum Humectant 10.0000% Glycerin Solvent 70.0000% Deionized Water Function Composition Ingredient
NPW becomes positive when α ranges
from 0.1 to 0.8
NPW vs. P1 for α = 0.1-0.8
0.00 5.00 10.00 15.00 20.00 25.00 30.00 35.00 5 10 15 20 P1 ($) NPW (million $))
α=0.1 α=0.2 α=0.3 α=0.4 α=0.5 α=0.6 α=0.7 α=0.8
NPW vs. P1 for α = 0.1-0.8
5 10 15 20 P1 ($)
NPW (million $))α=0.1 α=0.2 α=0.3 α=0.4 α=0.5 α=0.6 α=0.7
Maximum Profit Product (cont.)
Plotting again for α values between 0.7 and
0.8, we see that the NPW peaks when p1 is $10
10 20 30
5 7 9 11 13 15 17 P1 ($) NPW (million $)) α=0.70 α=0.71 α=0.72 α=0.73 α=0.74 α=0.75 α=0.76 α=0.77 α=0.78 α=0.79 α=0.8
The maximum α occurs at 0.8 As the amount of advertising increases, time
to maximum α decreases
0.2 0.4 0.6 0.8 1 1 2 3 4 5 6 7 Time (years) α
No Advertising Moderate Advertising High Advertising
6.7 3.9 High Moderate
Total Advertising Costs (million $/year)
0.06 20.34 6.21 0.15 73.24
journal free samples magazines websites tv
Moderate
0.04 23.78 6.05 0.18 69.95
journal free samples magazines websites tv
High
High advertising
also results in highest ROI
Raw Material
Costs rely significantly on α
0.0 200.0 400.0 600.0 800.0 2 4 6 8 10 Time (years) ROI (%)) no adv ertising (av g %ROI=217.9) moderate adv ertising (av g %ROI=291.7) high adv ertising (av g %ROI=414.3)
1 2 3 4 5 6 7 2 4 6 8 10 Time (years) Raw Material Costs (million $)
no advertising (total RMC=$35.02 Million) moderate advertising (total RMC=$41.58 Million) high advertising (total RMC=$52.62 Million)
Economic Analysis (cont.)
19.03
Net Present Worth ($106) 414
Return on Investment (%) 52.62 49000 Raw Material Cost ($106) 1.06 0.994 Total Capital Investment ($106) Maximum Profit Maximum Satisfaction Product
This model was a first approach
Perfected with further market analysis
and consumer research
More powerful software should be
used in the future for the Demand and Consumer Satisfaction Models