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Abstract

Nanotechnology has a modernized cosmetic formulation by improving the delivery, stability, and efficacy of active ingredients. Cosmetic systems, particularly nano emulsions, are widely used to enhance skin penetration, protect sensitive bioactive, and enable controlled release in products such as anti-aging creams, sunscreens, and moisturizers. However, these systems pose challenges related to formulation variability, stability, safety, and solubility. The Quality by Design (Qb-D) approach provides a systematic and science-based framework for addressing these challenges by ensuring a thorough understanding of formulation and process variables. This review emphasizes the role of QbD in nano emulsion-based cosmeceuticals, focusing on key elements such as Quality Target Product Profile (QTPP), Critical Quality Attributes (CQAs), Critical Material Attributes (CMAs), and Critical Process Parameters (CPPs). The application of risk assessment tools and design of experiments (DoE) for optimization also discussed. In addition, the review summarizes current methods for preparation of nanoemulsion, safety assessment. Overall, QbD-guided development offers effective strategy for producing safe, effective, and high-quality nano-cosmetic formulations.

Keywords

Nano-emulsion; Quality-by-Design (QbD); Design of Experiments (DoE); Cosmetics; QTPP, CQAs,CMAs; Skin delivery

Introduction

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The cosmetic industry has swiftly progressed from traditional beauty products to advanced cosmeceuticals with both aesthetic and medicinal properties. Modern cosmetic formulations increasingly formulated not just to improve appearance but also to deliver biologically active chemicals that promote skin health, hydration, anti-aging properties, and photo protection. However, many conventional cosmetic formulations have disadvantages such as low solubility of active ingredients, insufficient stability, and restricted penetration across the skin barriers.

Nanotechnology has emerged as a useful technique for addressing these difficulties. Nanoemulsions have gained popularity in cosmetic and pharmaceutical formulations because to their small droplet size, huge surface area, and improved physicochemical stability. These systems typically comprise oil, water, surfactants, and co-surfactants that create nanosized droplets capable of enhancing active chemical solubilization and cutaneous administration. Because of these benefits, nanoemulsions are commonly used in products such as moisturizers, sunscreens, anti-aging creams, and therapeutic skincare formulas.(15,17) Despite their benefits, developing stable nanoemulsion systems is challenging since formulation composition and processing factors have a significant impact on droplet size, stability, and performance. In recent years, the Quality by Design (QbD) method has gained prominence as a systematic framework for formulation development. QbD focuses on a detailed understanding of formulation variables and process parameters to assure consistent product quality, safety, and efficacy. The QbD technique involves determining critical quality attributes (CQAs), critical material attributes (CMAs), and critical process parameters (CPPs). The QbD technique allows for optimal and reproducible nanoemulsion formulations. (10,11)

These review paper also discusses nanoemulsion preparation methods, uses in cosmetic items and the significance of statistical tools such as Design of Experiments (DoE) in attaining robust formulation development.

NANOEMULSIONS:

Nanoemulsions are nano scale dispersions composed of two immiscible liquids stabilized by surfactants. Although they are thermodynamically unstable systems, they exhibit significant kinetic stability due to their extremely small droplet size. , Flow chart of Mechanism of nanoemulsion based cosmeceuticals with QbD approach followed in Fig.1

Fig .1 Mechanism of nanoemulsion of cosmeceuticals by QbD Approach

1.2 Mechanism of Nanoemulsion-Based Cosmeceuticals with QbD:

Nanoemulsions enhance drug delivery by improving solubilization, penetration, and controlled release of active ingredients (17, 18). Their nanoscale droplet size increases surface contact with the skin, while surfactants disrupt the lipid structure of the stratum corneum, facilitating permeation through intercellular, transcellular, and follicular pathways (21, 22).

They also protect active compounds from degradation and enable sustained release, resulting in prolonged therapeutic effects such as hydration, anti-aging, antioxidant, and photo protective benefits (25). Mechanism of Skin Cosmo therapeutics by Nanoemulsion followed in Fig.2

Fig.2. Mechanism of Skin Cosmotherapeutics by Nano emulsion

 

Under the QbD framework, critical material attributes (CMAs) and process parameters (CPPs) optimized to achieve desired critical quality attributes (CQAs) like droplet size, stability, and drug release. Tools such as Design of Experiments (DoE) help establish optimal conditions, ensuring reproducibility and enhanced product performance (9, 10).Overall, integrating Nano emulsion technology with QbD provides a robust and scientific approach for developing safe and effective cosmeceutical formulations (14, 32).

    1. NANO EMULSION FUNDAMENTALS: Nanoemulsion is a mixture of active ingredients and other functional excipients, namely oils, surfactants, co-surfactants and aqueous phase. The composition of nanoemulsion is vital in defining its characteristics like stability, droplet size, viscosity, drug release, etc (19)
    2. TYPES OF NANO EMULSIONS:

 

 

Fig.3. Basic Structure of Water-in-Oil and Oil-in-Water Emulsions

    1. COMPONENTS OF NANO EMULSION
  1. Oil Phase (influences droplet size):

The oil phase serves as the dispersed phase in oil-in-water nanoemulsions. The type of oil (natural oils like coconut or olive oil, lipids like oleic acid, or essential oils) directly affects droplet size, solubility of active ingredients, and overall stability. Oils with lower viscosity and appropriate polarity typically produce smaller droplets.

  1. Aqueous Phase (controls viscosity):

This is the continuous phase, usually consisting of purified water or buffer solutions. It determines the viscosity, pH, and ionic strength of the system, which in turn influence droplet distribution and stability.

  1. Surfactants (stabilize nano droplets):

Surfactants such as Tween 80, Span 60, and lecithin reduce interfacial tension between oil and water, enabling the formation of nanosized droplets and preventing coalescence. Their hydrophilic-lipophilic balance (HLB) is crucial for efficient emulsification.

  1. Co-surfactants (improve stability):

Co-surfactants like PEG 400, glycerol, and propylene glycol enhance the flexibility of the interfacial film, further reducing interfacial tension and improving long-term stability and droplet uniformity.

 

Fig.4. Selection of nano emulsion components

Fig.4 emphasizes that nanoemulsion formulation is highly dependent on the careful selection and balance of these components, as each one plays a distinct role in determining droplet size, stability, viscosity, and overall performance of the system.

  1. METHODS OF PREPARATION

Nanoemulsions are nanosized colloidal systems whose characteristics depend on the method of preparation, classified as high-energy or low-energy techniques. Incorporation of QbD ensures controlled development by optimizing formulation parameters through DoE, resulting in reproducible, stable, and efficient nanoemulsion systems. Methods of preparation of nanoemulsion flowchart is followed in Fig.5

Fig. 5 Methods of preparation of nanoemulsion formulation

  1. High-Energy Methods: High-energy techniques utilize mechanical devices to generate intense disruptive forces that break coarse emulsions into nanosized droplets. The application of Quality by Design (QbD) in these methods ensures systematic optimization of process parameters, leading to reproducible and stable Nano emulsions. (18, 19)
  1. High-Pressure Homogenization (HPH):

This is one of the most widely used industrial techniques. A coarse emulsion forced through a narrow gap under high pressures (500–5000 psi), generating intense shear forces, cavitation, and turbulence that reduce droplet size.

Applications: Frequently used in cosmetic creams, lotions, and pharmaceutical formulations.

Role of QbD:

  • Identification of Critical Process Parameters (CPPs) such as pressure, number of homogenization cycles, and temperature.
  • Optimization of Critical Material Attributes (CMAs) like oil phase and surfactant concentration.
  • Control of Critical Quality Attributes (CQAs) such as droplet size, polydispersity index (PDI), and stability.
  • Use of Design of Experiments (DoE) to determine optimal pressure and cycles for uniform nano-droplet formation.
  • Ensures scalability and batch-to-batch consistency.
  1. Ultrasonication Ultrasonication uses high-frequency sound waves (20–200 kHz) to produce cavitation bubbles. Their collapse generates shock waves that break droplets into nanoscale sizes.Applications: Ideal for laboratory-scale formulations and research development.

Role of QbD:

  • Optimization of sonication time, amplitude, and energy input as CPPs.
  • Control of temperature rise to prevent degradation of active ingredients.
  • Adjustment of surfactant concentration (CMAs) to improve emulsification efficiency.
  • Application of DoE to achieve desired droplet size and stability.
  • Ensures reproducibility in small-scale formulations.
  1. Microfluidization

This technique involves passing emulsions through microchannels where streams collide at high velocities, producing strong shear forces and uniform droplet size.

Applications: Widely used in pharmaceutical, cosmetic, and food industries for stable and uniform nanoemulsions.

Role of QbD:

  • Optimization of pressure, flow rate, and number of passes (CPPs).
  • Control of formulation composition (CMAs) for improved performance.
  • Monitoring of CQAs such as droplet size distribution and zeta potential.
  • DoE helps define design space for consistent nanoemulsion production.
  • Enhances scalability and industrial applicability.
  1. Low-energy methods: Low-energy methods rely on the physicochemical properties of surfactants and spontaneous interfacial changes, requiring minimal mechanical energy. QbD plays a vital role in optimizing formulation composition and ensuring stability. (16)
  1. Phase-InversionTemperature(PIT)Method

This method utilizes temperature-dependent changes in the solubility of nonionic surfactants. At the phase inversion temperature, the surfactant shifts from hydrophilic to lipophilic, resulting in the formation of very small droplets.

Applications: Commonly used in cosmetic and pharmaceutical formulations for stable nanoemulsions with enhanced drug delivery.

Role of QbD:

  • Identification of optimal phase inversion temperature as a critical parameter.
  • Optimization of surfactant type and concentration (CMAs)
  • Control of heating and cooling rates (CPPs)
  • Monitoring CQAs such as droplet size and stability.
  • DoE ensures reproducibility and robust formulation design.
  1. Spontaneous Emulsification

This process occurs when an organic phase containing oil, surfactant, co-surfactant, and solvent mixed with water, leading to rapid diffusion and formation of nanosized droplets.

Applications: Widely used for improving bioavailability of poorly soluble actives in pharmaceutical, nutraceutical, and cosmetic formulations.

Role of QbD:

  • Optimization of oil-to-surfactant ratio and composition (CMAs)
  • Control of mixing conditions and addition rate (CPPs)
  • Evaluation of CQAs such as droplet size, PDI, and thermodynamic stability.
  • Use of DoE to identify optimal formulation region (design space).
  • Ensures consistent performance and improved formulation robustness.
  1. NANO-EMULSIONS IN COSMECEUTICALS

Nano-emulsions extensively used in various cosmetic applications due to their enhanced delivery and Pleasing properties. (4, 25)

    1. SKIN CARE PRODUCTS

Nanoemulsions are widely used in anti-aging creams, moisturizers, sunscreens, and serums to increase the penetration of antioxidants, vitamins, and herbal extracts. Overview of Nanoemulsion Applications in Skin care Cosmetics with QbD Considerations followed in Table.1

TABLE.1. Nanoemulsion-Based Skin Care Products in cosmetics (21, 22, 23)

Skin

Care Product

Active Ingredients

Role             of

Nanoemulsion

Role of QbD

Applications

Moisturizers

Jojoba           oil, ceramides, hyaluronic acid

Enhances hydration      and improves spreadability

Optimization of oil–surfactant ratio and droplet size to ensure stability and skin                    hydration efficiency

Daily hydration creams lotions

 

and

Anti-aging creams

Vitamin C,

Vitamin E, Coenzyme Q10, retinol

Promotes deeper penetration and controlled release

Control of CQAs like droplet size, PDI, and release profile for enhanced collagen stimulation and                    reduced irritation

Anti-aging and firming products

Sunscreens

Zinc oxide, titanium dioxide, octocrylene

Improves dispersion of UV filters            and photostability

Optimization     of particle         size                    and dispersion uniformity to ensure consistent SPF and photostability

Broad-spectrum protection

sun

Acne treatment products

Tea tree oil, salicylic acid, neem extract

Enhances delivery of antimicrobial agents

Controlled formulation variables to improve stability                    and

targeted delivery while minimizing irritation

Acne gels and medicated creams

Skin

Niacinamide,

Protects active

Optimization of

Pigmentation

brightening creams

alpha-arbutin, licorice extract

from degradation and increases bioavailability

formulation parameters        to enhance stability of sensitive actives and improve        delivery efficiency

and brightening treatments

Sensitive skin formulations

Aloe vera, chamomile, calendula

Provides gentle and                    uniform release

Selection       of mild surfactants                             and controlled processing conditions to ensure safety and minimize irritation

Products        for

reactive         or delicate skin

Cleansers

Essential oils, mild surfactants

Improves solubilization of oily impurities

Optimization     of surfactant concentration    and formulation pH to maintain                    cleansing efficiency and skin compatibility

Facial cleansers                     and makeup removers

Under-eye creams

Peptides, caffeine

Facilitates targeted delivery

Control of droplet size and release kinetics for precise delivery to delicate skin areas

Under-eye treatments

               
  1. HAIR CARE PRODUCTS

They boost the delivery of conditioning chemicals, eliminate frizz, and increase hair shine while leaving no greasy residue. Overview of Nanoemulsion Applications in Hair care Cosmetics with QbD Considerations followed in Table.2

TABLE 2.Nanoemulsion-Based Hair Care Products in cosmetics (3, 25, 26, 27, 32)

Hair            Care       Active Product          Ingredients

Role             of

Nanoemulsion

Role of QbD

Applications

 

Shampoos   Tea tree oil, peppermint oil, zinc pyrithione

Enhancessolubilization                        of essential      oils                    and antimicrobial agents

Optimization                       of surfactant concentration, pH, and droplet size to ensure stability and effective                    cleansing performance

Anti-dandruff and clarifying shampoos

 

Conditioners  Argan  oil,

coconut        oil, silk proteins

Enables uniform distribution on hair fibers

Control of formulation parameters to achieve optimal viscosity and uniform deposition on hair strands

Daily conditioners and smoothing products

 

Hair tonics

growth

Minoxidil, caffeine, biotin, herbal extracts

Promotes deeper penetration into hair follicles

Optimization of droplet size and release kinetics to enhance follicular delivery and efficacy

Hair                    regrowth treatments

 

Hair serums

Vitamin jojoba keratin

E oil,

Provides lightweight formulation with rapid absorption

Adjustment of oil phase and surfactant ratio to ensure non-greasy texture and stability

Leave-in serums and gloss enhancers

 

Anti-hair    fall formulations

Ginseng extract,                    castor oil, bhringraj

Improves bioavailability of nutrients to follicles

Optimization of CMAs and CPPs to enhance delivery efficiency and formulation stability

Therapeutic scalp treatments

 

Scalp treatments

Aloe vera, neem extract, salicylic acid

Facilitates controlled release of soothing agents

Selection of mild excipients and controlled processing to ensure safety and sustained release

Products for sensitive or irritated scalp

 

Hair masks

repair

Shea                    butter, hydrolyzed proteins, ceramides

Enhances penetration damaged structure into hair

Optimization   of formulation viscosity and droplet size to improve adherence and penetration into hair fibers

Intensive repair masks

Color protection products

Green extract, filters

tea UV

Protects       actives from degradation

Control of formulation stability                    and

photostability through optimized composition and                    processing parameters

Products      for chemically treated hair

 

                       
  1. HERBAL AND NATURAL COSMETICS

Nano-emulsions are excellent transporters of plant-based actives, increasing their stability and bioavailability. Overview of Nanoemulsion Applications in Herbal Cosmetics with QbD Considerations followed in Table.3

TABLE.3.Herbal/Natural Nanoemulsion products in cosmetics (11, 32)

Herb/Extract Loaded

Nanoemulsion Carrier

Stability Results

Role of QbD

Curcuma

O/W

Stable (PZ 12–547 nm,

Optimization of

aromatica

nanoemulsion

PDI               0.29–0.84)                    with

surfactant ratio (Smix),

extract

stabilized      with

maintained    physical

droplet size, and PDI to

(antioxidant)

Tween 80/Span 80

parameters over storage

ensure physical stability

 

 

 

and consistent

 

 

 

antioxidant delivery

Hydroxy-safflor

Nanoemulsion

Enhanced

Control of formulation

yellow          A

 

physicochemical

variables and process

(Carthamus

 

stability         vs free

parameters to improve

tinctorius)

 

compound

stability and reproducibility

 

 

Elemene       oil (Curcuma sp.)

Nanoemulsion

Improved stability relative to conventional emulsion

Optimization of oil phase composition  and processing conditions to enhance formulation stability

 

Quercetin (plant flavonoid)

Nanoemulsion

More stable colloidal system

Optimization of droplet size and surfactant concentration to maintain stability and uniform dispersion

 

Essential      oils (multiple EOs)

Nanoemulsion (O/ W                 with

Tween/Span stabilizers)

Nano droplets <200 nm show             dynamic                    and thermodynamic stability

Selection of appropriate surfactant system and process optimization to ensure stability and minimize variability

 

4.       Quality by Design (QbD) Approach in Nanoemulsions based Cosmeceuticals

Quality by Design (QbD) is the most recent appeal added by the International Council for Harmonization (ICH) to the annexure to the ICH Q8 guidelines. It is a scientific and systematic idea that results in the manufacture of high-quality products by planning and developing pharmaceutical formulations and preparation methods [18]. It is founded on the notion that "quality cannot be proven into things; rather, quality should be incorporated in by design" [19]. QbD is rapidly replacing the conventional technique (one variable at a time) and solidifying its position in the industry. Prior to formulation development, a quality target product profile (QTPP) established. It is necessary to define and establish the relationship between various aspects of QbD, such as QTPP, CQAs, CPPs, and CMAs. Common tools of QbD include risk assessment and design of experiment (DOE). (9, 10, 11)

It analyzes how the material and process parameters affect the CQAs of the final product. It determines the source of variability and helps to control it. It ultimately designs the product with optimized parameters. Most importantly, the process of statistical optimization and analysis guarantees the product quality to the regulatory bodies.

  1. QUALITY TARGET PRODUCT PROFILE (QTPP)

QbD ensures that each QTPP parameter is systematically defined and achieved through optimization of formulation and process variables, resulting in a stable, effective, and consumer-acceptable nanoemulsion product. Determines desired product qualities such as appearance, droplet size, viscosity, stability, and safety. Quality by Design (QbD) Elements

and Target Product Profile (QTPP) for Nanoemulsion-Based Cosmetic Formulations followed in Table.4

Table 4: Quality by Design (QbD) Framework for Nano-Emulsion–Based Cosmetics (9, 10, 11)

QbD Element

Parameter

Description

Role of QbD

QTPP

Dosage form

Cream, gel, lotion, or serum intended for topical cosmetic use

QbD helps in selecting an appropriate dosage form based on target performance, stability, and consumer acceptability

 

Route                    of application

Topical         (skin

application)

Ensures formulation is designed for effective dermal delivery and safety

 

Droplet                    size range

< 200 nm to qualify as nanoemulsion                    and enhance skin interaction

Optimization of formulation and process parameters to achieve desired nanoscale size for better penetration

 

Product appearance

Transparent   or translucent for consumer acceptability

QbD ensures control of formulation variables to maintain clarity and aesthetic appeal

 

pH

Skin-compatible pH (≈ 5–6) to avoid irritation

Helps in selecting suitable excipients and maintaining pH within safe limits for skin compatibility

 

Stability

No phase separation, creaming, or coalescence during shelf life

Identification and control of factors affecting physical stability to ensure product robustness

 

Intended cosmetic function

Anti-aging, moisturizing, antioxidant, sunscreen, etc.

Guides formulation design to meet desired cosmetic outcomes effectively

 

  1. CRITICAL QUALITY ATTRIBUTES (CQAs)

Critical Quality Attributes (CQAs) such as droplet size, PDI, and zeta potential directly influence skin penetration, stability, and uniformity of the formulation. Maintaining these within acceptable limits ensures effective delivery and product consistency. Key CQAs and their role in QbD Optimization of Nanoemulsions is followed in Table.5

Table.5 Key Critical Quality Attributes (CQAs) and their role in optimization of nano emulsion formulation

QbD Element

Parameter    Description

Role of QbD

CQAs

Mean            droplet     Governs skin penetration, size                  optical  clarity,  and

physical stability

QbD optimizes formulation and process variables to achieve desired nanoscale size

 

Polydispersity   Indicates           droplet  size Index (PDI)            uniformity            and

formulation robustness

Ensures uniform distribution by controlling    formulation conditions

 

Zeta potential    Reflects            electrostatic

stabilization  of nano-droplets

Helps maintain stability by optimizing     charge-related parameters

 

pH                Ensures skin compatibility and active stability

Maintains safe and effective pH through excipient selection

 

Viscosity      /   Influences         spreadability,

Rheology      sensory    feel,      and application

Optimizes     formulation composition for desired texture and performance

 

Physical stability           Resistance        to                    creaming,

flocculation,  Ostwald ripening

Identifies and controls instability factors for long-term stability

 

Active          content     Ensures consistent uniformity    cosmetic performance

Ensures uniform distribution of actives across batches

 

  1. CRITICAL MATERIAL ATTRIBUTES (CMAs)

Critical Material Attributes (CMAs) such as oil type, surfactant concentration, and co-surfactant ratio determine interfacial properties, solubilization capacity, and overall stability of nanoemulsions. Key CMAs and their role in QbD Optimization of Nanoemulsions is followed in Table.6

Table.6 Key Critical Material Attributes (CMAs) and their role in optimization of nano emulsion formulation

QbD Element

Parameter

Description

Role of QbD

CMAs

Oil phase type

Natural oils/esters affect droplet                    formation, penetration, and skin feel

Selection based on solubility, compatibility,    and performance

 

Oil concentration

Influences droplet size and emulsion viscosity

Optimization ensures balance between stability and performance

 

Surfactant type & HLB

Determines interfacial tension reduction and emulsion stability

Selection       ensures     proper emulsification and stability

 

Co-surfactant ratio

Enhances      flexibility of interfacial film

Optimized to improve droplet stability and uniformity

 

Cosmetic active

Lipophilicity and          stability

Ensures         compatibility                    and

 

nature

affect loading and release

efficient delivery of actives

 

Stabilizer

Controls viscosity, stability, and release behaviour

Selection       improves formulation stability and controlled release

  1. CRITICAL PROCESS PARAMETERS (CPPs)

Critical Process Parameters (CPPs) including homogenization speed, time, ultrasonication amplitude, and temperature significantly affect droplet formation and size reduction. Proper control of these parameters prevents instability and ensures reproducibility. Key CPPs and their role in QbD Optimization of Nanoemulsions is followed in Table.7

Table.7.Key Critical Process Parameters (CPPs) and their role in optimization of nano emulsion formulation

QbD Element

Parameter

Description

Role of QbD

CPPs

Homogenization speed

Controls droplet breakup and size reduction

Optimization                    ensures efficient droplet size reduction

 

Homogenization time

Excess time may over-processing instability

cause and

Identifies optimal time to avoid degradation or instability

 

Ultrasonication amplitude

Generates cavitation forces for nano-droplet formation

Controls energy input for consistent droplet formation

 

Processing temperature

Affects          viscosity, surfactant behavior, and active stability

Maintains                    temperature within limits to prevent instability

 

Order addition

phase

Impacts initial formation and distribution

droplet

size

Standardizes                    process sequence for reproducibility

 

                 

4.5. RISK ASSESMENT TOOLS

Risk assessment tools in QbD provide a structured approach to identify, evaluate, and control variables affecting nanoemulsion quality, ensuring efficient and reliable formulation development. Risk assessment tools and their role in optimization of nano emulsion formulation is followed in Table.8

Table.8 Risk assessment tools and their role in optimization of nano emulsion formulation

 

QbD Element

Tool

Description

Role of QbD

 

Risk

Ishikawa

Identifies potential causes

Helps            in systematic

 

Assessment

diagram

affecting       CQAs      (e.g.,

identification of factors

 

 

 

material,       method,

influencing product quality and

 

equipment, environment)

guides risk-based formulation development

 

FMEA

Prioritizes     high-risk

Enables ranking of risks and

 

(Failure Mode

CMAs and CPPs based on

focuses optimization on critical

 

and               Effects

severity, occurrence, and

variables to ensure robust and

 

Analysis)

detectability

stable            nanoemulsion formulation

 

  1. DESIGN OF EXPERIMENTS (DOE)

Design of Experiments (DoE) is a systematic statistical approach used in the Quality by Design (QbD) framework better understand the link between formulation variables and product quality. In nanoemulsion-based nanocosmetics, DoE aids in determining the best mix of ingredients and processing conditions required to achieve desired quality features such as small droplet size, high stability, and uniform dispersion.

Factorial designs and response surface methodology used to optimize formulation variables and establish design space. (8, 9, 12) Key QbD elements and Statistical tools used in Design of Experiments for optimization of Nanoemulsion formulations is followed in Table.9

Table.9 Key QbD elements and Statistical tools used in Design of Experiments for optimization of Nanoemulsion formulations.

QbD Element

Parameter

Description

Role of QbD

DoE

Box–Behnken  / Statistical         experimental Central                    designs used to evaluate Composite Design interaction effects between (CCD)                    variables   and   optimize

formulation

Enables         systematic optimization of formulation and process variables with minimal experimental runs

 

Independent variables

Oil                %,                    surfactant %, homogenization speed (rpm)

Identified as CMAs and CPPs that significantly influence nanoemulsion characteristics

 

Dependent responses

Droplet         size,         PDI,                    zeta potential

Represent CQAs used to evaluate        formulation performance and quality

 

ANOVA analysis

Statistical tool to determine significance of variables and model fitness

Helps identify critical factors and validate the experimental model

 

Response surface plots

Graphical      representation                    of variable interactions

Assists in understanding combined effects of variables on responses

 

Optimization

Selection of best formulation conditions

Ensures achievement of desired CQAs such as stability and uniformity

Design space

Range of variables where product quality remains acceptable

Provides        flexibility in manufacturing   without

affecting       product performance

 

Software used

Design-Expert®, JMP®, MODDE®

Minitab®,

Facilitates experimental design, statistical analysis, modeling, and optimization of                    nanoemulsion formulations

 

             

Software’s Used in QbD for Nanoemulsions:

Various statistical and modelling software tools used to design experiments, analyse data, and optimize formulations:

  • Design-Expert® (Stat-Ease) – Most widely used for DoE, response surface methodology (RSM), and optimization
  • Minitab® – Used for statistical analysis and experimental design
  • JMP® (SAS) – Advanced data visualization and predictive modeling
  • MODDE® – Used for QbD-based formulation optimization and design space establishment
  • GraphPad Prism – For data analysis and graphical representation
  • MATLAB® (optional) – For advanced modeling and simulation

These tools help in establishing relationships between variables and responses, enabling precise optimization.(8,9,12)

  1. CONTROL STRATEGY

Effective control strategy under QbD ensures consistent product quality by controlling raw materials, monitoring processes, and verifying final product performance (8, 9, 10, and 11). Control Strategy elements in Quality by Design (QbD) to ensure process control and quality of nano emulsion formulation is followed in Table.10

Table.10. Control Strategy elements in Quality by Design (QbD) to ensure process control and quality of nano emulsion formulation.

 

 

QbD Element

Parameter

Description

Role of QbD

 

Control Strategy

Raw material specifications

Ensures consistency of oils, surfactants, and active ingredients    used    in formulation

QbD ensures selection and control of high-quality materials to maintain batch-to- batch consistency

In-process controls

Monitoring of CPPs during manufacturing   (e.g., temperature, speed, time)

Enables real-time control of process variables to ensure desired CQAs are achieved

 

Finished product testing

Confirms CQAs meet predefined     acceptance criteria

Ensures final product quality, safety, and performance before release

 

  1. Procedure for QbD Application in Nanoemulsion Development (9, 10, 11, 14)

The implementation of QbD in nanoemulsion formulation involves the following steps:

Step 1: Define QTPP (Quality Target Product Profile)

  • Desired properties: droplet size, stability, skin compatibility, release profile.

Step 2: Identify CQAs

  • Droplet size, PDI, zeta potential, viscosity, drug release.

Step 3: Identify CMAs and CPPs

  • CMAs: oil type, surfactant concentration, Smix ratio.
  • CPPs: homogenization speed, sonication time, temperature.

Step 4: Risk Assessment

  • Use Ishikawa diagram and FMEA to identify high-risk variables.

Step 5: Experimental Design (DoE)

  • Select design (Box–Behnken, Central Composite Design).
  • Define independent variables (e.g., oil percentage, surfactant %, speed).
  • Define responses (e.g., droplet size, PDI, zeta potential).

Step 6: Data Analysis & Optimization

  • Use software (Design-Expert, Minitab).
  • Generate response surface plots.
  • Identify optimal formulation.

Step 7: Design Space Establishment

  • Define range where CQAs remain acceptable.

Step 8: Validation

  • Prepare optimized batch.
  • Compare predicted vs experimental results.

Step 9: Control Strategy

  • Maintain consistency during scale-up and production.
  1. CHALLENGES AND LIMITATIONS
  • Sensitivity to formulation and processing conditions:

Nanoemulsions are highly dependent on formulation composition (oil, surfactant ratio) and processing parameters (temperature, homogenization). Small variations can lead to significant changes in droplet size, polydispersity, and stability, affecting product performance and reproducibility.(16,17,19)

  • High surfactant concentration:

To achieve stability, nanoemulsions often require higher amounts of surfactants, which may cause skin irritation, toxicity, or allergic reactions upon prolonged use, especially in sensitive skin formulations.(22,24,25)

  1. SUMMARY

The adoption of the Quality by Design (QbD) approach in nanoemulsion-based cosmeceutical development marks a shift away from traditional formulation approaches and toward a more structured and science-driven process. Unlike traditional trial-and-error procedures, which frequently lack consistency and process awareness, QbD emphasizes the proactive integration of quality into both formulation and manufacturing processes from the start.

Nanoemulsions have significant interfacial surface area and nanoscale droplet size, making them complex and sensitive systems (17). These properties render them susceptible to physical instability mechanisms such as creaming, flocculation, and coalescence. The QbD framework allows for a comprehensive understanding of the factors that influence formulation performance and stability by linking the Quality Target Product Profile (QTPP) with Critical Quality Attributes (CQAs), Critical Material Attributes (CMAs), and Critical Process Parameters (CPPs). This integrated method assures that the final product constantly fulfills predetermined quality, safety, and efficacy standards.

Among the identified CQAs, droplet size and polydispersity index (PDI) are critical in determining nanoemulsion behavior. These factors have a direct impact on not just physical stability, but also skin penetration, visual appearance, and sensory properties, all of which are crucial for consumer approval of cosmetic products. The use of systematic risk assessment methods like Ishikawa diagrams and Failure Mode and Effects Analysis (FMEA) enables the identification of high-impact variables in CMAs and CPPs. As a result, formulation efforts can be strategically oriented toward regulating these essential parameters, increasing efficiency and minimizing development time.

The increased demand for herbal and organically derived cosmetic actives continues emphasizes the importance of QbD in nanoemulsion systems. Such bioactives frequently present problems like poor water solubility, sensitivity to degradation, and unpredictability in function. QbD facilitates the stabilization and effective delivery of these sensitive compounds by selecting and optimizing formulation components such as oil phase, surfactant systems, and stabilizers, as well as precisely controlling processing conditions. This improves both product performance and shelf life.

Furthermore, including Design of Experiments (DoE) into the QbD framework provides a useful tool for assessing the combined impacts of various factors. Unlike traditional one-factor-at-a-time approaches, DoE allows for the detection of interaction effects and aids in the construction of prediction models. The creation of a well-defined design space guarantees that acceptable product quality is maintained even with modest alterations in formulation or processing conditions, increasing robustness and allowing scale-up for industrial production. Although originally created for pharmaceutical development, the use of QbD concepts in cosmetics is becoming increasingly significant as regulatory standards rise and consumers seek safe, effective, and scientifically validated goods. Overall, applying QbD to nanoemulsion-based cosmeceuticals provides a dependable and forward-thinking technique for achieving consistent product quality, increased performance and successful commercialization.

CONCLUSION

The advancement of nanoemulsion-based nano cosmetics highlights the need for a more rational and controlled formulation strategy, which is effectively addressed by the Quality by Design (QbD) approach. By integrating scientific understanding with statistical optimization tools, QbD enables precise control over formulation variables and processing conditions, resulting in improved product reliability and reproducibility.

This approach is particularly valuable in managing the complexities associated with nanoscale systems, including stability challenges and variability in performance. It also supports the efficient incorporation of bioactive compounds by enhancing their protection and delivery within the formulation matrix.

In the context of evolving regulatory expectations and increasing demand for high-performance cosmetic products, QbD-driven nanoemulsion development offers a robust pathway for innovation, scalability, and commercialization.

Conflict of interest: No conflict of interest

REFERENCES

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  18. Gupta, A., Eral, H. B., Hatton, T. A., & Doyle, P. S. (2016). Nanoemulsions: Formation, properties, and applications. Soft Matter, 12(11), 2826–2841.
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  27. Shakeel, F., Ramadan, W., & Shafiq, S. (2009). Nanoemulsion as a drug delivery system. Journal of Bioequivalence & Bioavailability, 1(2), 39–43.
  28. Khurana, S., Jain, N. K., & Bedi, P. M. S. (2013). Nanoemulsion-based gel for transdermal delivery. Life Sciences, 92(6–7), 383–392.
  29. Algahtani, M. S., Ahmad, M. Z., & Ahmad, J. (2020). Nanoemulgel: A promising topical drug delivery system. Nanomaterials, 10(5), 848.
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  31. Sadick, N. (2019). Advances in cosmetic dermatology. International Journal of Women’s Dermatology, 5(1), 1–3.
  32. Iskandar, B., Liu, T., Mei, H., et al. (2024). Herbal nanoemulsions in cosmetics. Journal of Food and Drug Analysis, 32(1), 45–67.
  33. Lintner, K., & Peschard, O. (2009). Biologically active ingredients in cosmetics. Clinics in Dermatology, 27(5), 461–465.
  34. Venus, M., Waterman, J., & McNab, I. (2010). Basic skin physiology. Surgery, 28(10), 469–472.
  35. Cholakova, D., Vinarov, Z., & Denkov, N. (2022). Self-emulsification techniques and applications.
  36. Li, M., Cai, J., & Gao, Y. (2025). Advances in nanoparticle synthesis and applications.
  37. Cholakova, D., & Tcholakova, S. (2025). Surfactants in nanoemulsion systems.
  38. Bazazi, P., & Hejazi, S. H. (2020). Double emulsions: Formation and stability.
  39. Cunha, S., Costa, C. P., Moreira, J. N., Lobo, J. M. S., & Silva, A. C. (2020a). Using the quality by design (QbD) approach to optimize formulations of lipid nanoparticles and nanoemulsions: A review. Nanomedicine Nanotechnology Biology and Medicine, 28, 102206.
  40. Chuo, S. C., & Setapar, S. H. M. (2022). Application of nanoemulsion in cosmetics. In Elsevier eBooks (pp. 355–371).
  41. De Souza, A. C., Sipoli, C. C., Aranha, A. C. R., Samulewski, R. B., Da Silva, G. N., Defendi, R. O., Gomes, M. C. S., & Suzuki, R. M. (2026a). Applicability of nanoemulsions for the incorporation of bioactive compounds in cosmetics: a review. ACS Omega, 11(4), 4818–4842. Deveci, E. (2025). Nanoemulsions in cosmetics: Enhancing efficacy and stability. Journal of Dermatologic Science and Cosmetic Technology, 100107.
  42. G, R., A, S., Y, H. E. T., & D, P. (2025a). COMPREHENSIVE REGULATIONS FOR
  43. DRUG AND COSMETICS IN EUROPEAN UNION. International Journal of Pharmacy and Pharmaceutical Sciences, 26–32.
  44. Grangeia, H. B. (2026). “Quality by Design Approach in Nanotechnology Applied to Cosmetics: A Systematic Review From Conception to Production.” Journal of Dermatologic Science and Cosmetic Technology, 100145.
  45. Gupta, V., Mohapatra, S., Mishra, H., Farooq, U., Kumar, K., Ansari, M., Aldawsari, M., Alalaiwe, A., Mirza, M., & Iqbal, Z. (2022). Nanotechnology in Cosmetics and Cosmeceuticals—A review of latest advancements. Gels, 8(3), 173.
  46. Jaiswal, M., Dudhe, R., & Sharma, P. K. (2014). Nanoemulsion: an advanced mode of drug delivery system. 3 Biotech, 5(2), 123–127.
  47. Yu, L. X., Amidon, G., Khan, M. A., Hoag, S. W., Polli, J., Raju, G. K., & Woodcock, J. (2014a). Understanding pharmaceutical quality by design. The AAPS Journal, 16(4), 771–783.
  48. Yang, S., Hu, X., Zhu, J., Zheng, B., Bi, W., Wang, X., Wu, J., Mi, Z., & Wu, Y. (2025). Aspects and Implementation of Pharmaceutical Quality by Design from Conceptual Frameworks to Industrial Applications. Pharmaceutics, 17(5), 623.
  49. Zagalo, D. M., Silva, B. M., Silva, C., Simões, S., & Sousa, J. J. (2022). A quality by design (QbD) approach in pharmaceutical development of lipid-based nanosystems: A systematic review. Journal of Drug Delivery Science and Technology, 70, 103207.
  50. Mohd-Setapar, S., John, C., Mohd-Nasir, H., Azim, M., Ahmad, A., & Alshammari, M. (2022). Application of Nanotechnology Incorporated with Natural Ingredients in Natural Cosmetics. Cosmetics, 9(6), 110.

Reference

  1. Shah, R., Gandhi, J., Shah, M., Tiwari, P., Chaudhary, B., & Shah, V. (2025). Nanoemulsions for topical delivery: Formulation, applications, and recent advances. Journal of Microencapsulation, 42(7), 660–681.
  2. Chavan, S. V., Guha, S., Raza, K., Pandit, R. K., Pandit, K., & Chitkara, D. (2025). QbD-optimized nanoemulsion-based topical formulation of Jatyadi Taila. Pharmaceutical Research.
  3. Mushtaq, A., Wani, S. M., Malik, A. R., et al. (2023). Recent insights into nanoemulsions: Preparation, properties, and applications. Food Chemistry X, 18, 100655.
  4. Abu-Huwaij, R., Al-Assaf, S. F., & Hamed, R. (2022). Nanoemulsions in cosmeceutical delivery. Journal of Cosmetic Dermatology, 21(9), 3729–3740.
  5. Acharya, S. D., Tamane, P. K., Khante, S. N., & Pokharkar, V. B. (2020). QbD-based optimization of curcumin nanoemulsion. Indian Journal of Pharmaceutical Education and Research, 54(2), 329–336.
  6. Patel, A. R., & Velikov, K. P. (2011). Colloidal delivery systems in foods and cosmetics. LWT - Food Science and Technology, 44(9), 1958–1964.
  7. Marzuki, H. C., Wahab, R. A., & Hamid, M. A. (2019). Overview of nanoemulsion development and cosmeceutical applications. Biotechnology & Biotechnological Equipment, 33(1), 779–797.
  8. Namjoshi, S., Dabbaghi, M., Roberts, M. S., Grice, J. E., & Mohammed, Y. (2020). Quality by design for semisolid topical products. Pharmaceutics, 12(3), 287.
  9. Beg, S., Rahman, M., Jain, A., et al. (2015). Application of quality by design approach for nanoemulsion formulations. International Journal of Pharmaceutics, 491(1–2), 1–12.
  10. Yu, L. X. (2008). Pharmaceutical quality by design: Product and process development, understanding, and control. Pharmaceutical Research, 25(4), 781–791.
  11. International Council for Harmonisation. (2009). ICH Q8 (R2): Pharmaceutical development.
  12. Amasya, G., Ozturk, C., & Tarimci, N. (2021). Quality by design-based optimization of nano-cosmeceuticals. Journal of Drug Delivery Science and Technology, 66, 102737.
  13. Implementation of QbD for nanoformulated cosmeceuticals. (2024). Nanocosmeceutical Review.
  14. Sharma, G., & Dua, K. (2023). Application of quality by design in nanotechnology-based drug delivery systems. Drug Delivery Science and Technology, 81, 104201.
  15. Solans, C., Izquierdo, P., Nolla, J., Azemar, N., & Garcia-Celma, M. J. (2005). Nano-emulsions. Current Opinion in Colloid & Interface Science, 10(3–4), 102–110.
  16. Tadros, T., Izquierdo, P., Esquena, J., & Solans, C. (2004). Formation and stability of nanoemulsions. Advances in Colloid and Interface Science, 108–109, 303–318.
  17. McClements, D. J. (2012). Nanoemulsions versus microemulsions: Terminology, differences, and similarities. Soft Matter, 8(6), 1719–1729.
  18. Gupta, A., Eral, H. B., Hatton, T. A., & Doyle, P. S. (2016). Nanoemulsions: Formation, properties, and applications. Soft Matter, 12(11), 2826–2841.
  19. Kotta, S., Khan, A. W., Ansari, S. H., & Sharma, R. K. (2015). Formulation of nanoemulsion systems. Drug Delivery, 22(4), 455–466.
  20. Date, A. A., & Nagarsenker, M. S. (2008). Design and evaluation of microemulsions.AAPS PharmSciTech, 9(1), 138–145.
  21. Lademann, J., Richter, H., Schanzer, S., et al. (2011). Penetration of nanoparticles into human skin. European Journal of Pharmaceutics and Biopharmaceutics, 77(3), 465–468.
  22. Trommer, H., & Neubert, R. H. H. (2006). Overcoming the stratum corneum barrier: The modulation of skin penetration. Skin Pharmacology and Physiology, 19(2), 106–121.
  23. Zsikó, S., Csányi, E., Kovács, A., et al. (2019). Methods to evaluate skin penetration in vitro. Scientia Pharmaceutica, 87(3), 19.
  24. Khezri, K., Saeedi, M., & Maleki Dizaj, S. (2018). Nanoparticles in dermatology and cosmetics. Biomedicine & Pharmacotherapy, 110, 241–251.
  25. Gupta, V., Mohapatra, S., Mishra, H., et al. (2022). Nanotechnology in cosmetics: Current trends and future perspectives. Gels, 8(3), 173.
  26. Zoabi, A., Touitou, E., & Margulis, K. (2021). Nanomaterials for dermal and transdermal drug delivery. Colloids and Interfaces, 5(1), 18.
  27. Shakeel, F., Ramadan, W., & Shafiq, S. (2009). Nanoemulsion as a drug delivery system. Journal of Bioequivalence & Bioavailability, 1(2), 39–43.
  28. Khurana, S., Jain, N. K., & Bedi, P. M. S. (2013). Nanoemulsion-based gel for transdermal delivery. Life Sciences, 92(6–7), 383–392.
  29. Algahtani, M. S., Ahmad, M. Z., & Ahmad, J. (2020). Nanoemulgel: A promising topical drug delivery system. Nanomaterials, 10(5), 848.
  30. Luo, L., Patel, A., Sinko, P., et al. (2015). Topical delivery of active pharmaceutical ingredients. International Journal of Pharmaceutics, 481(1–2), 1–10.
  31. Sadick, N. (2019). Advances in cosmetic dermatology. International Journal of Women’s Dermatology, 5(1), 1–3.
  32. Iskandar, B., Liu, T., Mei, H., et al. (2024). Herbal nanoemulsions in cosmetics. Journal of Food and Drug Analysis, 32(1), 45–67.
  33. Lintner, K., & Peschard, O. (2009). Biologically active ingredients in cosmetics. Clinics in Dermatology, 27(5), 461–465.
  34. Venus, M., Waterman, J., & McNab, I. (2010). Basic skin physiology. Surgery, 28(10), 469–472.
  35. Cholakova, D., Vinarov, Z., & Denkov, N. (2022). Self-emulsification techniques and applications.
  36. Li, M., Cai, J., & Gao, Y. (2025). Advances in nanoparticle synthesis and applications.
  37. Cholakova, D., & Tcholakova, S. (2025). Surfactants in nanoemulsion systems.
  38. Bazazi, P., & Hejazi, S. H. (2020). Double emulsions: Formation and stability.
  39. Cunha, S., Costa, C. P., Moreira, J. N., Lobo, J. M. S., & Silva, A. C. (2020a). Using the quality by design (QbD) approach to optimize formulations of lipid nanoparticles and nanoemulsions: A review. Nanomedicine Nanotechnology Biology and Medicine, 28, 102206.
  40. Chuo, S. C., & Setapar, S. H. M. (2022). Application of nanoemulsion in cosmetics. In Elsevier eBooks (pp. 355–371).
  41. De Souza, A. C., Sipoli, C. C., Aranha, A. C. R., Samulewski, R. B., Da Silva, G. N., Defendi, R. O., Gomes, M. C. S., & Suzuki, R. M. (2026a). Applicability of nanoemulsions for the incorporation of bioactive compounds in cosmetics: a review. ACS Omega, 11(4), 4818–4842. Deveci, E. (2025). Nanoemulsions in cosmetics: Enhancing efficacy and stability. Journal of Dermatologic Science and Cosmetic Technology, 100107.
  42. G, R., A, S., Y, H. E. T., & D, P. (2025a). COMPREHENSIVE REGULATIONS FOR
  43. DRUG AND COSMETICS IN EUROPEAN UNION. International Journal of Pharmacy and Pharmaceutical Sciences, 26–32.
  44. Grangeia, H. B. (2026). “Quality by Design Approach in Nanotechnology Applied to Cosmetics: A Systematic Review From Conception to Production.” Journal of Dermatologic Science and Cosmetic Technology, 100145.
  45. Gupta, V., Mohapatra, S., Mishra, H., Farooq, U., Kumar, K., Ansari, M., Aldawsari, M., Alalaiwe, A., Mirza, M., & Iqbal, Z. (2022). Nanotechnology in Cosmetics and Cosmeceuticals—A review of latest advancements. Gels, 8(3), 173.
  46. Jaiswal, M., Dudhe, R., & Sharma, P. K. (2014). Nanoemulsion: an advanced mode of drug delivery system. 3 Biotech, 5(2), 123–127.
  47. Yu, L. X., Amidon, G., Khan, M. A., Hoag, S. W., Polli, J., Raju, G. K., & Woodcock, J. (2014a). Understanding pharmaceutical quality by design. The AAPS Journal, 16(4), 771–783.
  48. Yang, S., Hu, X., Zhu, J., Zheng, B., Bi, W., Wang, X., Wu, J., Mi, Z., & Wu, Y. (2025). Aspects and Implementation of Pharmaceutical Quality by Design from Conceptual Frameworks to Industrial Applications. Pharmaceutics, 17(5), 623.
  49. Zagalo, D. M., Silva, B. M., Silva, C., Simões, S., & Sousa, J. J. (2022). A quality by design (QbD) approach in pharmaceutical development of lipid-based nanosystems: A systematic review. Journal of Drug Delivery Science and Technology, 70, 103207.
  50. Mohd-Setapar, S., John, C., Mohd-Nasir, H., Azim, M., Ahmad, A., & Alshammari, M. (2022). Application of Nanotechnology Incorporated with Natural Ingredients in Natural Cosmetics. Cosmetics, 9(6), 110.

Photo
Chinnaguravagari Saranya
Corresponding author

Department of Pharmaceutical Sciences,SVU College of Pharmaceuticals Sciences,Sri Venkateswara University,Tirupati,India

Photo
Vothani Sarath Babu
Co-author

Department of Pharmaceutical Sciences,SVU College of Pharmaceuticals Sciences,Sri Venkateswara University,Tirupati,India

Photo
Velpuri Nikitha lakshmi
Co-author

Department of Pharmaceutical Sciences,SVU College of Pharmaceuticals Sciences,Sri Venkateswara University,Tirupati,India

Chinnaguravagari Saranya, Vothani Sarath Babu, Velpuri Nikitha Lakshmi, Nanoemulsion - Based Cosmeceuticals: Formulation Strategies and Quality by Design Approach- A Comprehensive Review, Int. J. of Pharm. Sci., 2026, Vol 4, Issue 7, 1959-1980. https://doi.org/ 10.5281/zenodo.21283624