Dropwise Additive Manufacturing Research Articles

Developing a machine learning enabled integrated formulation and process design framework for a pharmaceutical dropwise additive manufacturing printer.

The pharmaceutical manufacturing sector needs to rapidly evolve to absorb the next wave of disruptive industrial innovations - Industry 4.0. This involves incorporating technologies like artificial intelligence, smart factories and 3D printing to automate, miniaturize and personalize the production processes. The goal of this study is to build a formulation and process design (FPD) framework for a pharmaceutical 3D printing technique called drop-on-demand (DoD) printing. FPD can automate the determination of formulation properties and printing conditions (input conditions) for DoD operation that can guarantee production of drug products with desired functional attributes. This study proposes to build the FPD framework in two parts: the first part involves building a machine learning model to simulate the forward problem - predicting DoD operation based on input conditions and the second part seeks to solve and experimentally validate the inverse problem - predicting input conditions that can yield desired DoD operation.

Small-Scale Continuous Drug Product Manufacturing using Dropwise Additive Manufacturing and Three Phase Settling for Integration with Upstream Drug Substance Production

The pharmaceutical industry has traditionally relied on mass manufacturing to make its products. This has created multiple problems in the drug supply network, including long production times, inflexible and sluggish manufacturing and lack of personalized dosing. The industry is gradually adapting to these challenges and is developing novel technologies to address them. Continuous manufacturing and 3D printing are two promising techniques that can revolutionize pharmaceutical manufacturing. However, most research studies into these methods tend to treat them separately. This study seeks to develop a new processing route to continuously integrate a 3D printing platform (Drop-on-Demand, DoD, printing) with crystallization that is generally the final step of the active ingredient manufacturing. Accomplishing this integration would enable harnessing the benefits of each method- personalized dosing of 3D printing and flexibility and speed of continuous manufacturing.A novel unit operation, three-phase settling (TPS), is developed to integrate DoD with the upstream crystallizer. To ensure on-spec production of each printed dosage, two process analytical technology tools are incorporated in the printer to monitor drug loading in manufactured drug products in real time. Experimental demonstration of this system is carried out via two case studies: the first study uses an active ingredient celecoxib to test the standalone operation of TPS; the second study demonstrates the operation of the integrated system (crystallizer – TPS – DoD) to continuously make drug products for the active ingredient- lomustine. A dissolution test is also performed on the manufactured and commercial lomustine drug products to compare their dissolution behavior.

Dropwise Additive Manufacturing of Pharmaceutical Products Using Particle Suspensions

The principal method of drug delivery is by oral solid doses, the production of which often necessitates multiple post-crystallization unit operations to ensure content uniformity or enhance bioavailability. As an alternative to conventional dose production methods, applications of additive manufacturing technologies based on solvent- or melt-based formulations have demonstrated the potential for improvements to process efficiency, flexibility, and dosing precision. Here we explore the use of particulate suspensions in a dropwise additive manufacturing process as a method for dosing active ingredients in crystalline form, which may be difficult to achieve via powder processing due to poor flow properties. By employing a fluid-based method, powder flow issues are alleviated and adaptation of the process to new particles/crystals is facilitated by dimensional analysis. In this work, a feasibility study was conducted using 4 active ingredient powders, each with non-ideal particle properties, and 2 carrier fluids, in which the active ingredient does not dissolve, to formulate suspensions for dose manufacturing; drug products were analyzed to show reproducibility of dosing and to assess preservation of particle size through the process. Performance across particle types is affected by particle size and shape, and is related through effects on the rheological properties of the formulation.

Dropwise additive manufacturing of pharmaceutical products for amorphous and self emulsifying drug delivery systems

The improvements in healthcare systems and the advent of the precision medicine initiative have created the need to develop more innovative manufacturing methods for the delivery and production of individualized dosing and personalized treatments. In accordance with the changes observed in healthcare systems towards more innovative therapies, this paper presents dropwise additive manufacturing of pharmaceutical products (DAMPP) for small scale, distributed manufacturing of individualized dosing as an alternative to conventional manufacturing methods A dropwise additive manufacturing process for amorphous and self-emulsifying drug delivery systems is reported, which utilizes drop-on-demand printing technology for automated and controlled deposition of melt-based formulations onto inert tablets.The advantages of drop on demand technology include reproducible production of droplets with adjustable sizing and high placement accuracy, which enable production of individualized dosing even for low dose and high potency drugs. Flexible use of different formulations, such as lipid-based formulations, allows enhancement of the solubility of poorly water soluble and highly lipophilic drugs with DAMPP. Here, DAMPP is used to produce solid oral dosage forms from melts of an active pharmaceutical ingredient and a surfactant. The dosage forms are analyzed to show the amorphous nature, self-emulsifying drug delivery system characteristics and dissolution behavior of these formulations.

Knowledge Provenance Management System for a Dropwise Additive Manufacturing System for Pharmaceutical Products

The Knowledge Provenance Management System, KProMS, can capture the complete provenance of the data, information, and knowledge of a structured activity by modeling the details of the associated data generation steps of that activity as workflows. Its unique workflow representation captures relationships between the processing steps, material and information flows, and data input and output. In this paper, we demonstrate the use of KProMS to manage and analyze the experimental data of an innovative system for manufacturing drug products using dropwise additive manufacturing. Dropwise additive manufacturing of pharmaceutical products (DAMPP) uses drop on demand printing technology for depositing various drug formulations onto edible substrates. DAMPP requires and generates a range of data types, including camera and IR images, spectra, and numerical parameter values, both of real-time and off-line natures, and thus provide a rich illustration of KProMS capabilities to serve as knowledge management framework.

Process control of a dropwise additive manufacturing system for pharmaceuticals using polynomial chaos expansion based surrogate model

The paper presents a dropwise additive manufacturing process for pharmaceutical products (DAMPP) as an alternative to conventional methods. This mini manufacturing process for the production of personalized pharmaceutical products utilizes drop-on-demand (DoD) printing technology for the deposition of active pharmaceutical ingredient (API) onto edible substrates. Here we present a process control framework for DAMPP, including on-line monitoring, automation and closed loop control, in order to produce individual dosage forms with the desired critical quality attributes, including formulation composition, drop size, deposit morphology and dissolution performance. In order to achieve desired product morphology, a surrogate model based on polynomial chaos expansion is developed to relate the critical process parameters to deposit morphology using dissolution data of the active pharmaceutical ingredient. The proposed process control strategy can effectively mitigate variations in the dissolution profiles due to variable dosage amounts and enable the application of the DoD system for the production of individualized dosage regimens.

Dropwise Additive Manufacturing of Pharmaceutical Products for Melt-Based Dosage Forms

The US Food and Drug Administration introduced the quality by design approach and process analytical technology guidance to encourage innovation and efficiency in pharmaceutical development, manufacturing, and quality assurance. As part of this renewed emphasis on the improvement of manufacturing, the pharmaceutical industry has begun to develop more efficient production processes with more intensive use of online measurement and sensing, real-time quality control, and process control tools. Here, we present dropwise additive manufacturing of pharmaceutical products (DAMPP) as an alternative to conventional pharmaceutical manufacturing methods. This mini-manufacturing process for the production of pharmaceuticals utilizes drop on demand printing technology for automated and controlled deposition of melt-based formulations onto edible substrates. The advantages of drop-on-demand technology, including reproducible production of small droplets, adjustable drop sizing, high placement accuracy, and flexible use of different formulations, enable production of individualized dosing even for low-dose and high-potency drugs. In this work, DAMPP is used to produce solid oral dosage forms from hot melts of an active pharmaceutical ingredient and a polymer. The dosage forms are analyzed to show the reproducibility of dosing and the dissolution behavior of different formulations.

Real-Time Process Management Strategy for Dropwise Additive Manufacturing of Pharmaceutical Products

This paper presents a real-time process management (RTPM) strategy for Dropwise Additive Manufacturing of Pharmaceutical Products (DAMPP), a mini-manufacturing method for pharmaceutical dosage forms. The semicontinuous, small-scale nature of DAMPP allows for more automation and control than traditional large-scale batch pharmaceutical manufacturing processes and can be used to manufacturing drug products with precise amounts of active pharmaceutical ingredients (API), suitable for production of high-potency drug products or individualized medicine. The RTPM strategy for DAMPP consists of advanced process control to ensure that every dosage unit meets quality specifications. We use temperature control systems and an imaging system linked to a LabVIEW automation program. The system is successful in controlling deposition of both solvent-based and melt-based dosage forms. It controls process and product temperature and monitors each drop visually. It records data pertinent to each deposited drop, determines the drop volume and thus API amount deposited, and automatically detects and diagnoses process faults. With a proper automation, control, and monitoring strategy, DAMPP is a viable manufacturing method for pharmaceutical dosage forms.

Dropwise Additive Manufacturing of Pharmaceutical Products for Solvent-Based Dosage Forms

In recent years, the US Food and Drug Administration has encouraged pharmaceutical companies to develop more innovative and efficient manufacturing methods with improved online monitoring and control. Mini-manufacturing of medicine is one such method enabling the creation of individualized product forms for each patient. This work presents dropwise additive manufacturing of pharmaceutical products (DAMPP), an automated, controlled mini-manufacturing method that deposits active pharmaceutical ingredients (APIs) directly onto edible substrates using drop-on-demand (DoD) inkjet printing technology. The use of DoD technology allows for precise control over the material properties, drug solid state form, drop size, and drop dynamics and can be beneficial in the creation of high-potency drug forms, combination drugs with multiple APIs or individualized medicine products tailored to a specific patient. In this work, DAMPP was used to create dosage forms from solvent-based formulations consisting of API, polymer, and solvent carrier. The forms were then analyzed to determine the reproducibility of creating an on-target dosage form, the morphology of the API of the final form and the dissolution behavior of the drug over time. DAMPP is found to be a viable alternative to traditional mass-manufacturing methods for solvent-based oral dosage forms.