Quality By Design Research Articles

Pharmaceutical Product Development: Quality by Design (QbD)

A popular modern strategy in pharmaceutical development is called "quality by design," or QBD, which started with established goals including the product's safety and efficacy. Safety and product efficacy are the primary goals of QBD in pharmaceutical development. With QBD, the design itself is emphasized for excellence. QBD was introduced by the Food and Drug Administration in order to comprehend the production process. An overview of the pharmaceutical quality system, quality risk management, and international council for harmonization (ICH) rules for product development is provided in this article in order to preserve product quality. The scientific foundation of QBD, regulatory industry perspectives, and QBD technologies were briefly discussed. There was a focus on excipients, manufacturing process development, container closure systems, and pharmacological substances. The Q9 guidelines for quality risk management, Q10 guidelines for pharmaceutical quality systems, and Q8 guidelines for pharmaceutical development form its basis. In the research and production of pharmaceuticals, it also provides an application of Quality by Design.

Integration of Quality by Design (QbD) Principles in the Engineering of an Oral Delivery Nanosystem Loaded with Fenofibrate

Background: Fenofibrate (FEN) is the FDA-approved drug used in the treatment of hyperlipidemia. FEN possesses limited bioavailability orally due to its low solubility. As a result, more frequent and larger doses are needed, which increases the likelihood of adverse effects. Objectives: This study aimed to develop and optimize polymeric nanoparticles loaded with Fenofibrate (FEN) using the solvent evaporation method. Method: A Quality by Design (QbD) approach was used to ensure the quality of the finished product by evaluating the impact of critical material attributes (CMAs) and critical process parameters (CPPs) on the critical quality attributes (CQAs) of nanoparticles. The impact of CMAs (quantity of polycaprolactone, % polyvinyl alcohol, and % sodium lauryl sulphate) on particle size and Drug Entrapment Efficiency (DEE) was studied using Box-Behnken Design. Results: The optimized nanoparticles have 246.5 ± 4.38 nm particle size and 77.53 ± 0.9% DEE. SEM and TEM were used to analyze the surface morphology of nanoparticles. Furthermore, In-Vitro drug release study of optimized formulation was performed to confirm the efficacy of the polymeric nanoparticles. Conclusion: The solvent evaporation method was utilized to effectively formulate FEN-loaded polymeric nanoparticles and optimized through QbD principles to achieve minimum particle size and maximum % DEE

The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review.

Currently, artificial intelligence (AI), machine learning (ML), and deep learning (DL) are gaining increased interest in many fields, particularly in pharmaceutical research and development, where they assist in decision-making in complex situations. Numerous research studies and advancements have demonstrated how these computational technologies are used in various pharmaceutical research and development aspects, including drug discovery, personalized medicine, drug formulation, optimization, predictions, drug interactions, pharmacokinetics/ pharmacodynamics, quality control/quality assurance, and manufacturing processes. Using advanced modeling techniques, these computational technologies can enhance efficiency and accuracy, handle complex data, and facilitate novel discoveries within minutes. Furthermore, these technologies offer several advantages over conventional statistics. They allow for pattern recognition from complex datasets, and the models, typically developed from data-driven algorithms, can predict a given outcome (model output) from a set of features (model inputs). Additionally, this review discusses emerging trends and provides perspectives on the application of AI with quality by design (QbD) and the future role of AI in this field. Ethical and regulatory considerations associated with integrating AI into pharmaceutical technology were also examined. This review aims to offer insights to researchers, professionals, and others on the current state of AI applications in pharmaceutical research and development and their potential role in the future of research and the era of pharmaceutical Industry 4.0 and 5.0.

PEGylation in Pharmaceutical Development: Current Status and Emerging Trends in Macromolecular and Immunotherapeutic Drugs.

The purpose of the research is to examine the advantages and difficulties of target-site drug delivery methods, with an emphasis on the application of polyethylene glycol (PEG) to enhance drug solubility, bioavailability, and immune response characteristics. It has been demonstrated that this method lowers immunogenicity, enhances pharmacokinetics, and helps drugs pass the blood-brain barrier while reducing reticuloendothelial system clearance. PEG and its derivatives are being used more and more to alter therapeutic substances, offering an escape from some of the drawbacks of conventional medication formulations. In the review, different PEGylation tactics are examined, including cutting-edge methods for reversing multi-drug resistance in nanocarriers. PEGylation has a number of benefits, but there are still drawbacks, including the immunogenic reaction to PEG, which is sometimes referred to as "anti-PEG antibodies," and stability problems that call for the creation of countermeasures. The study devotes a large amount of its space to listing FDA-approved PEGylated medications, emphasizing their therapeutic advantages and clinical uses in a range of medical specialties. The research also explores the regulatory environment that surrounds PEG, closely examining its effectiveness and safety in medication compositions. The review goes beyond PEGylation and includes lipid-based nanocarriers, including liposomes, nanostructured lipid carriers (NLCs), and solid lipid nanoparticles (SLNs). Because these nanocarriers can target specific tissues or cells, improve bioavailability, and encapsulate pharmaceuticals, they are becoming more and more significant in drug delivery systems. The Target Product Profile (TPP) and Quality by Design (QbD) principles serve as the foundation for the creation and characterization of these lipid-based systems. These tools direct the methodical assessment of material properties and risk assessments during the formulation phase. This method guarantees that the finished product satisfies the appropriate requirements for efficacy, safety, and quality. The regulatory status and safety profile of nano lipid carriers are covered in the paper's conclusion, which emphasizes the importance of careful examination and oversight in bringing these cutting-edge products to market. Overall, this thorough analysis highlights the revolutionary potential of lipid-based nanocarriers and PEGylation in improving drug delivery and therapeutic efficacy, but it also draws attention to the continued difficulties and legal issues that need to be resolved in order to fully reap the benefits of these technologies in biomedicine.

Application of quality by design in optimization of nanoformulations: Principle, perspectives and practices.

Nanoparticulate drug delivery systems (NDDS) based nanoformulations have emerged as promising drug delivery systems. Various NDDS-based formulations have been reported such as polymeric nanoparticles (NPs), nanoliposomes, solid lipid NPs, nanocapsules, liposomes, self-nano emulsifying drug delivery systems, pro liposomes, nanospheres, microemulsion, nanoemulsion, gold NPs, silver NPs and nanostructured lipid carrier. They have shown numerous advantages such as enhanced bioavailability, aqueous solubility, permeability, controlled release profile, and blood-brain barrier (BBB) permeability. This advantage of NDDS can help to deliver pure drugs to the target site. However, the formulation of nanoparticles is a complex process that requires optimization to ensure product quality and efficacy. Quality by Design (QbD) is a systemic approach that has been implemented in the pharmaceutical industry to improve the quality and reliability of drug products. QbD involves the optimization of different parameters like zeta potential (ZP), particle size (PS), entrapment efficiency (EE), polydispersity index (PDI), and drug release using statistical experimental design. The present article discussed the detailed role of QbD in optimizing nanoformulations and their advantages, advancement, and applications from the industrial perspective. Various case studies of QbD in the optimization of nanoformulations are also discussed.

A real-time oxygen uptake rate monitoring approach suitable for the antibody production process

Significant progress has been achieved in large-scale mammalian cell culture technology for biotherapeutics manufacturing over the past decades, necessitating the Process Analytical Technology (PAT) for the real-time measurement of critical quality attributes and the guidance for precise process control to ensure productivity, quality, and consistency. The Oxygen Uptake Rate (OUR) serves as a crucial indicator for characterizing the energy metabolism of mammalian cells, offering insights into cellular state and metabolism dynamics. However, current cellular OUR monitoring in antibody production depends mainly on costly gas analyzers or periodic manual sampling. Here, we introduce a novel method for in-line monitoring of cellular OUR in bioreactors based on the stationary liquid phase balance (SLPB) theory, which extends its applicability to diverse aeration and foam conditions without additional equipment or labor expenditures. We modeled the kLa of the aerated stirred bioreactor, assessed the influence of foam on liquid surfaces induced by gas sparging on oxygen transfer, and processed raw OUR data using a sliding filter. The established method was applied to monitoring the real-time OUR of Chinese Hamster Ovary (CHO) cell cultures for antibody production, demonstrating its excellent accuracy, sensitivity and readability. Aligned with the Quality by Design (QbD) concept, this real-time OUR estimation enables rapid detection of metabolic changes, revealing cellular physiology and facilitating precise feedback control in biotherapeutics manufacturing.

A novel liposomal formulation for ocular delivery of caspofungin: an experimental study by quality by design-based approach.

Aim: This study focuses on the development of a Caspofungin liposome for efficient ocular delivery by enhancing corneal penetration.Method: Quality by design (QbD) approach was adopted to identify critical factors that influence final liposomal formulation. The liposome developed using thin film hydration after optimization was subjected to characterization for physicochemical properties, irritation potential and corneal uptake.Results: The numerical optimization suggests an optimal formulation with a desirability value of 0.706, using CQAs as optimization goals with 95% prediction intervals. The optimized formulation showed no signs of irritation potential along with observation of significant corneal permeation.Conclusion: The liposomal formulation increased the permeability of Caspofungin, which could enhance the efficacy for the treatment of conditions, like fungal keratitis.

Mastering Quality: Uniting Risk Assessment With Quality by Design (QbD) Principles for Pharmaceutical Excellence.

The aim of this article is to present ideas and tools of risk assessment that can be implemented to overcome various pharmaceutical quality challenges. These elements cover the development, production, distribution, inspection, and reporting of review procedures for drug substances, drug products, and biological products at every stage of their lifecycle. In light of the constant requirement to ensure the drug's efficacy, safety, and quality, the pharmaceutical sector is always evolving. A key strategy for attaining pharmaceutical excellence in this dynamic environment is incorporating novel methods like quality by design (QbD) and risk assessment. Risk assessment is a methodical strategy to locate, assess, and minimize any risks in the manufacturing and development of pharmaceuticals. On the other hand, QbD principles place more emphasis on end-product testing and place it in the context of designing quality into the product from the beginning. The major goal of this paperis to address and examine the integration of risk assessment approaches with the QbD principle workflow to ensure pharmaceutical quality. Recent articles on how risk assessment has been used in pharmaceuticals were evaluated. To provide a useful overview, the various assessment methodologies have been highlighted, emphasizing their benefits and drawbacks.

The Role of Quality Assurance in Clinical Trials: Safeguarding Data Integrity and Compliance.

Clinical trials, which investigate the effects of drugs in humans, aim to determine safety and efficacy while identifying adverse reactions. Data consistency and subject safety are crucial factors that determine the quality of clinical trials, necessitating overall quality management. There is a growing emphasis on implementing quality systems during the planning stages of clinical trials. Regulatory frameworks have evolved to ensure patient protection and data reliability, underscoring the need for systematic quality management in health research. A clinical trial quality management plan (CTQMP) is essential to describe the tools and methods used to ensure study quality. Globalization has led to an increase in conducting clinical trials in developing nations, presenting challenges due to procedural and ethical disparities. To manage these complexities, outsourcing trial management has become common. Adherence to good clinical practice (GCP) principles, as defined by the International Conference on Harmonization (ICH), is critical for safeguarding participant rights and ensuring credible data. Quality by design (QbD) and quality risk management are now central to clinical trial management, as advocated by the FDA. Technological advancements and robust protocols further enhance trial processes. Effective QA activities, including monitoring and data management, are vital for maintaining compliance, participant safety, and data integrity, highlighting the indispensable role of QA in clinical trial success.

Advancing Ocular Medication Delivery with Nano-Engineered Solutions: A Comprehensive Review of Innovations, Obstacles, and Clinical Impact.

Recent advancements in ocular drug delivery have led to the introduction of a range of nanotechnology-based systems, such as polymeric nanoparticles, solid lipid nanoparticles, nanostructured lipid carriers, inorganic nanoparticles, niosomes, liposomes, nanosuspensions, dendrimers, nanoemulsions, and microemulsions. These systems enhance drug retention, penetration, bioavailability, and targeted delivery, promising prolonged drug release, and improved patient compliance. However, their interactions with biological systems pose potential toxicity risks, necessitating a careful evaluation of nanoparticle size, shape, surface charge, and coating. Traditional ocular drug delivery methods, like topical applications and injections, face challenges due to anatomical and physiological barriers, leading to frequent dosing and systemic toxicity risks. Nanocarriers offer solutions by improving drug permeation and targeted delivery, yet translating these innovations from research to clinical practice involves overcoming hurdles related to manufacturing scale-up, quality control, regulatory approval, and cost-effectiveness. The quality by design (QbD) framework provides a systematic approach to optimize nanocarrier formulation and process design, ensuring safety and efficacy. Assessing the safety of nanocarriers through in vivo and in vitro studies is crucial for their clinical application. This review explores the use of various nanomedicines in ocular drug delivery, highlighting the current state of ocular medication delivery and considering critical aspects such as scaling up and clinical applications.

Box-Behnken Design employed stability demonstrating RP-HPLC method development of sorafenib tosylate for rapid and sensitive quantification

Sorafenib tosylate (SFN) is a tyrosine kinase inhibitor used clinically to treat liver, kidney, and thyroid carcinoma. This research aims to accurately quantify SFN using a quality-by-design (QbD) approach with RP-HPLC. Chromatographic settings were optimized using a Box-Behnken design, measuring responses such as retention time, tailing factor, theoretical plate, and peak area. At the same time, independent variables were flow rate, mobile phase composition, and wavelength. A C18 column (4.6 × 250 mm, 5 µm) served as the stationary phase, with a mobile phase of methanol and 0.1% o-phosphoric acid in a 41:59 v/v ratio. SFN detection occurred at 267 nm in isocratic mode at a flow rate of 1.1 mL min−1. Method validation followed International Council for Harmonization guidelines, yielding a coefficient of determination (R2) of 0.9998, indicating linearity in the 5-25 µg mL−1 range. Results showed detection (LOD) and quantification (LOQ) limits of 0.04 and 0.12 µg mL−1, respectively. Additionally, the method demonstrated precision, accuracy, and robustness consistent with ICH criteria. Overall, this simple, accurate, rapid, and robust RP-HPLC method is suitable for routine SFN analysis in various formulations.

A novel logistic regression-embedded 0–1 mixed-integer probabilistic robust design model to obtain optimum sustainable factor settings

Quality by design (QbD) focuses on satisfying the needs of products or processes when aiming for variance reduction. On the other side, sustainability is associated with carrying on to conduct so over time. The research gap is also addressed in sustainability and QbD in this paper. Next, robust design (RD) is a suitable approach to QbD to reduce the process or product variation regarding quantitative and qualitative design factors. For a number of situations, a binomial random response variable is considered to decrease the variability of the production process. Thus, this paper is four-fold. First of all, a modified distance-based criterion is developed to generate the design matrix when dealing with quantitative and qualitative design factors. Second, a logistic regression technique is presented for modeling responses when the random response variable is binomial. Third, a new logistic regression-based 0–1 mixed-integer probabilistic RD model is proposed to find optimum sustainable design factors. Fourth, an Industry 4.0 associated case study is performed in order to design sustainable process development, and the comparison and verification studies are also presented to show the effectiveness of the proposed probabilistic model. Further, managerial insights are provided based on the sustainable development goals (SDGs).

Quality-by-Design (QbD) Assisted Synthesis of Nanoparticle for Efficient Loading, Stabilization, and Intracellular Delivery of Bioactive for the Treatment of Arthritis

Quality-by-Design (QbD) Assisted Synthesis of Nanoparticle for Efficient Loading, Stabilization, and Intracellular Delivery of Bioactive for the Treatment of Arthritis

Evaluation of analytical greenness metric for an eco-friendly method developed through the integration of green chemistry and quality-by-design for the simultaneous determination of Nebivolol hydrochloride, Telmisartan, Valsartan, and Amlodipine besylate

In recent years, the field of analytical chemistry has witnessed a notable shift towards the adoption of greener chromatographic methods, aiming to minimize the environmental impact. An effective strategy involves substituting conventional harmful organic solvents with environmentally friendly alternatives, reducing the use of hazardous chemicals that contribute to environmental concerns. However, separating drug substances without the use of buffers and organic solvents presence is a big challenge. To overcome this challenge, a combination of quality-by-design (QbD) and green analytical chemistry (GAC) was employed in this study for method development. A high-performance liquid chromatography (HPLC) method was successfully developed and validated for the simultaneous determination of Nebivolol hydrochloride, Telmisartan, Valsartan, and Amlodipine besylate. The method utilized a mobile phase composed of a mixture of 0.1 % formic acid in water (pH: 2.5) and ethanol. A regular octadecyl silica (ODS) column was employed, and UV detection at 220 nm was utilized. The method exhibited linearity within the concentration range of 25–75 μg/mL for Telmisartan and 150–450 μg/mL for Nebivolol Hydrochloride, Valsartan, and Amlodipine besylate and the correlation coefficient was greater than 0.999 for all the analytes. Limits of detection (LOD) and quantification (LOQ) were determined as 0.01 and 0.04 μg/mL for Telmisartan, 0.06 and 0.20 μg/mL for Nebivolol Hydrochloride, 0.08 and 0.25 μg/mL for Amlodipine besylate, and 0.14 and 0.46 μg/mL for Valsartan, respectively. The developed method underwent thorough validation, encompassing various parameters such as linearity, accuracy, precision, LOD, LOQ, robustness, and ruggedness. The mean recovery values were observed to range between 98.86 % and 99.89 %. The accuracy demonstrated was consistently above 98.98 % for both intra-day and inter-day precisions were with the relative standard deviations less than 2 %. To establish its robustness, a quality-by-design-based experimental design (DoE) approach was implemented. Additionally, the method's environmental friendliness was evaluated using the Analytical Greenness metric (AGREE) an analytical eco scale, both confirming its alignment with sustainable practices and reduced ecological impact. The sustainability of the solvent used in the current study was evaluated by Green Solvents Selecting Tool (GSST) Further, the developed method greenness was evaluated with the green analytical tools such as Analytical method greenness score (AMGS) and using the recently released White Analytical Chemistry (WAC) using RGB assessment tool. By employing this greener approach to chromatography method, this study contributes to the ongoing efforts in analytical chemistry to promote sustainable practices and minimize the environmental footprint of analytical methods.

Automated multifactorial design of experiment and Bayesian optimisation algorithm approaches to method development for the green analysis by supercritical fluid chromatography of a pharmaceutical ingredient

During drug development, chromatography is frequently used for purity and stability testing of both drug substance and drug product. Reversed phase liquid chromatography (RPLC) is one of the most widely used methodologies due to its wide scope of application. In the later stages of drug development, the specified impurities and degradation products that define the critical quality attribute of the final API, also known as Key Predictive Sample Set (KPSS), are usually well defined and controlled. At this point, a method review enables selecting the most appropriate technique which should be the one providing optimal robustness (ICH-Q14[1]), with the support of Quality by Design (QbD) approaches. Supercritical Fluid Chromatography (SFC) is a preferred technique for its proven diversity in selectivity. The adoption of a technique which presents the most favourable environmental impact, such as, but not limited to, SFC, is also becoming increasingly important as laboratories strive to reduce carbon footprint. Re-developing a method requires high resource-demands in terms of staff, materials, and time. Any step of the process that can be automated can facilitate this approach, speeding up the delivery of the method whilst preserving robustness.In this article we describe how an SFC method was developed for the purity profiling of a late-stage oncology candidate, taking advantage of the superior selectivity of SFC towards structurally similar analytes, owed to the high orthogonality with R2 as low as 0.014 towards the KPSS. We describe two approaches to automate the method development. Firstly, a multifactorial design of experiments (DoE) and secondly, an optimization via a Bayesian algorithm, which was completed in one night, highlighting the potential and limitations, with an insight into the robustness. Both methods achieved baseline separation with varying levels of automation embedded into the process and a large reduction of the resource demands when compared to traditional optimisation methods. Finally, we describe the beneficial environmental impact that implementing SFC methods can yield, with a calculated green score reduced to a value between 17 and 30 % compared to RPLC, depending on the number of runs per sequence.

Digital Twin for Continuous Production of Virus-like Particles toward Autonomous Operation.

Lentiviral vector and virus-like particle (VLP) manufacturing have been published in fed-batch upstream and batch downstream modes before. Batch downstream and continuous upstream in perfusion mode were reported as well. This study exemplifies development and validation steps for a digital twin combining a physical-chemical-based mechanistic model for all unit operations with a process analytical technology strategy in order to show the efforts and benefits of autonomous operation approaches for manufacturing scale. As the general models are available from various other biologic manufacturing studies, the main step is model calibration for the human embryo kidney cell-based VLPs with experimental quantitative validation within the Quality-by-Design (QbD) approach, including risk assessment to define design and control space. For continuous operation in perfusion mode, the main challenge is the efficient separation of large particle manifolds for VLPs and cells, including cell debris, which is of similar size. Here, innovative tangential flow filtration operations are needed to avoid fast blocking with low mechanical stress pumps. A twofold increase of productivity was achieved using simulation case studies. This increase is similar to improvements previously described for other entities like plasmid DNAs, monoclonal antibodies (mAbs), and single-chain fragments of variability (scFv) fragments. The advantages of applying a digital twin for an advanced process control strategy have proven additional productivity gains of 20% at 99.9% reliability.

QbD Approach in Cosmetic Cleansers Research: The Development of a Moisturizing Cleansing Foam Focusing on Thickener, Surfactants, and Polyols Content.

Cleansing products, particularly innovative cosmetic foams, must efficiently remove impurities with minimal impact on the skin barrier and have a favorable sensory profile. The choice of product ingredients is crucial to ensure the optimal characteristics. The current study aims to provide a comprehensive framework for understanding the variability in the characteristics of a cleansing foam to achieve desired properties. The novelty of this study lies in the combination of ingredients for their potential synergistic and complementary effects in cleansing dry skin, as well as the application of Quality by Design (QbD) elements to develop and optimize the formulation of cleansing foam. The effects of varying the concentration of mild surfactants, polyols, and gel-forming agents on the properties of the gels and of the generated foams were studied. Significant influences of the formulation factors were observed: an increased ratio of xanthan gum positively impacted the texture properties of the gel, whereas higher concentrations of surfactants had a negative impact on these parameters. Additionally, increasing the polyols ratio was found to negatively influence the foaming property and stability of the foam. The study established an optimal formulation of a cleansing foam with a ratio of 0.45% xanthan gum, 26.19% surfactants and 2.16% polyols to be used for dry skin hygiene.

Design of Experiments-Driven Optimization of Spray Drying for Amorphous Clotrimazole Nanosuspension.

This study employed a Quality by Design (QbD) approach to spray dry amorphousclotrimazole nanosuspension (CLT-NS) consisting of Soluplus® and microcrystallinecellulose. Using the Box-Behnken Design, a systematic evaluation was conducted toanalyze the impact of inlet temperature, % aspiration, and feed rate on the criticalquality attributes (CQAs) of the clotrimazole spray-dried nanosuspension (CLT-SDNS). In this study, regression analysis and ANOVA were employed to detect significantfactors and interactions, enabling the development of a predictive model for the spraydrying process. Following optimization, the CLT-SD-NS underwent analysis using Xraypowder diffraction (XRPD), Fourier transform infrared spectroscopy (FTIR), Dynamic Scanning Calorimetry (DSC), and in vitro dissolution studies. The resultsshowed significant variables, including inlet temperature, feed rate, and aspiration rate,affecting yield, redispersibility index (RDI), and moisture content of the final product. The models created for critical quality attributes (CQAs) showed statistical significanceat a p-value of 0.05. XRPD and DSC confirmed the amorphous state of CLT in theCLT-SD-NS, and FTIR indicated no interactions between CLT and excipients. In vitrodissolution studies showed improved dissolution rates for the CLT-SD-NS (3.12-foldincrease in DI water and 5.88-fold increase at pH 7.2 dissolution media), attributed torapidly redispersing nanosized amorphous CLT particles. The well-designed studyutilizing the Design of Experiments (DoE) methodology.

Quality by design-based development and in vitro evaluation of dual release tablet of etoricoxib and thiocolchicoside: A novel chronotherapeutic approach for arthritis pain management

The traditional drug delivery system is not much effective when treating chronopathological diseases like arthritis. Consequently, there is a gap in the market for a delivery system that can provide an explicit treatment following the chronopharmacology of this disorder. The present study is based on the objective to develop Eudragit coated dual release bilayer tablet designed by the quality by design (QbD) and based on the chronotherapeutic approach. The dual release tablet contained an immediate release layer of etoricoxib and a sustained release layer of thiocolchicoside. The quality target product profile (QTTP) of the formulation was established along with critical quality attributes (CQA). The optimization of the dual release layer was done using a three-level, three-factor Box-Behnken design. A total of thirteen formulations of etoricoxib (ET1-ET13) and thiocolchicoside (TH1-TH13) were developed based on the design composition of etoricoxib, sodium starch glycolate and sodium bicarbonate for the immediate release (IR) layer and thiocolchicoside, HPMC E5 LV and magnesium stearate for the sustained release (SR) layer respectively. The developed dual release layers were compressed to form a bilayer tablet. The bilayer tablets were further coated with pH-dependent polymer Eudragit S-100 to avoid drug release in upper GIT. The initial characterization and drug-excipient interaction studies were performed initially using infra-red (IR) spectroscopy and X-ray diffraction studies (XRD). Formulations showing good micrometric properties, disintegration and drug release were selected for final compression of bilayer tablets. Formulation ET13 showed the fastest drug release (88%) at 15minutes and quick disintegration time (21s). The sustained release thiocolchicoside tablet layer (TH1-TH13) had a hardness that varied from 4.01 to 4.45kg/cm2. Formulation TH12 had the highest hardness, whereas TH6 showed the lowest hardness. The sustained release layer showing 97.63% of drug release after 8hours was selected for the compression to bilayer tablet. The developed dual layer tablets were investigated for quality parameters like hardness, percentage friability, weight variation, disintegration and dissolution. A high level of patient compliance is ensured through the current design as the patient does not need to get out of bed at night to take the medication.

Combinatorial Delivery of Docetaxel- and Erlotinib-Loaded Functionalized Nanostructured Lipid Carriers for the Treatment of Triple-Negative Breast Cancer Using Quality-by-Design Approach.

This study explored the combined administration of docetaxel (DOC) and erlotinib (ERL) using nanostructured lipid carriers (NLCs), with folic acid (FA) conjugation to enhance their synergistic anticancer efficacy against triple-negative breast cancer. NLCs were developed through hot melt homogenization-ultrasound dispersion, and optimized by a quality-by-design (QbD) approach using Plackett-Burman design and Box-Behnken design. Plots were generated based on maximum desirability. Spherical, nanosized dispersions (<200 nm) with zeta potential ranging from -16.4 to -14.15 mV were observed. These nanoformulations demonstrated ~95% entrapment efficiency with around 5% drug loading. Stability tests revealed that the NLCs remained stable for 6 months under storage conditions at 4 °C. In vitro release studies indicated sustained release over 24 h, following Higuchi and Korsmeyer-Peppas models for NLCs and FA NLCs, respectively. Additionally, an in vitro pH-stat lipolysis model exhibited a nearly fivefold increase in bioaccessibility compared to drug-loaded suspensions. The DOC-ERL-loaded formulations exhibited dose- and time-dependent cytotoxicity, revealing synergism at a 1:3 molar ratio in MDA-MB-231 and 4T1 cells, with combination indices of 0.35 and 0.37, respectively. Co-treatment with DOC-ERL-loaded FA NLCs demonstrated synergistic anticancer effects in various in vitro assays.