Résumé
Based on the dual needs of analgesia and anti-inflammation in trauma treatment, this study uses acetaminophen and moxifloxacin hydrochloride as active pharmaceutical ingredients and develops a composite bilayer tablet with a dual-phase drug release system by using binder jet 3D printing technology. Due to the complexity of the 3D printing process, there is an interaction between the various parameters. Through the optimization of the process, the relationship between the key process parameters can be determined more intuitively. In this study, the process of extended-release tablets was optimized to maintain the mechanical properties of the tablets while realizing the regulation of release. The full-factor experimental design of three central points 23 was used to analyze the factors that significantly affect the quality attributes of extended-release tablets and the interaction between factors. The optimal extended-release process parameters were obtained by the response optimizer: the inkjet quantity of the printing ink was 10 (about 13.8 pL), the powder thickness was 180 μm, and the running speed was 360 mm·s-1. The in vitro of release of 3D printed composite bilayer tablets showed that the in vitro of release of 3D printed tablets and commercially available tablets conformed to the Ritger-Peppas release model. The results of porosity showed that the immediate-release layer of the preparation has many pores and large pore size, and the dissolution of the immediate release layer within 15 min was greater than 85%. The internal pore size of the extended release layer is large, but it can still release slowly for up to 8 h, the mechanism may be related to the extended release of HPMC gelation. On the basis of verifying the rationality of the design goal of 3D printed composite bilayer tablets, this study also provides a theoretical basis for the preparation of 3D printing complex preparations.
Résumé
With the growing demand of personalized medicine for children, it is especially important to develop medicines for children. In this study, using metoprolol tartrate as model drug, we developed 3D printed chewable tablets suitable for children with automated dosage distribution using semi-solid extruded (SSE) 3D printing technology. Based on the quality by design concept, this study prepared a semi-solid material with good printability using gelatin as the substrate, constructed 3D models and printed tablets with the aid of computer-aided design. The printing parameters were optimized and determined as follows: print temperature of 35-37 ℃, print speed of 25 mm·s-1, fill rate of 15%, and number of outer profile layers of 2. Subsequently, the printing process and the quality uniformity of the tablets were verified, and a linear relationship between the dose and the number of model layers was obtained. Finally, 3D printed chewable tablets were superior in terms of appearance, dose accuracy and compliance compared with traditional split-dose commercially available tablets. In this study, 3D printed metoprolol tartrate chewable tablets with good performance were successfully prepared to address the personalized medication needs of pediatric patients.
Résumé
In 2015, the United States put forward the concept of precision medicine, which changed medical treatment from "one size fits all" to personalization, and paid more attention to personalization and drug customization. In the same year, Spritam®, the world's first 3D printed tablet, was in the market, marking the emerging pharmaceutical 3D printing technology was recognized by regulatory authorities, and it also provided a new way for drug customization. 3D printing technology has strong interdisciplinary and high flexibility, which puts forward higher requirements for pharmaceutical staffs. With the development of artificial intelligence (AI), modern society can perform various tasks, such as disease diagnosis and robotic surgery, with superhuman speed and intelligence. As a major AI technology, machine learning (ML) has been widely used in many aspects of 3D printing drug, accelerating the research and development, production, and clinical application, and promoting the new process of global personalized medicine and industry 4.0. This paper introduces the basic concepts and main classifications of 3D printing drug, non-AI drug optimization technology and ML. It focuses on the analysis of the research progress of ML in 3D printing drug, and elucidates how AI can empower the intelligent level of 3D printing drug in pre-processing, printing, and post-processing process. It provides a new idea for accelerating the development of 3D printed drug.
Résumé
In this study, the reverse engineering technology was used to analyze the prescription and process of Doppelherz® Energy DIRECT, based on the composition of the prescription on the official website of the product, the detection method of composition is established according to the pharmacopoeia and literature information, combined with gravimetric analysis to complete prescription analysis. The prescription composition of the reference listed drug was determined to be composed of caffeine, taurine, vitamin B, anhydrous glucose, citric acid, sorbitol, sucralose, magnesium salts of fatty acids, in which the glucose content was 71.4%, the citric acid content was 7.0% and the magnesium salts of fatty acids content was < 5.8%. According to patent inquiry, Raman imaging and other technologies, the preparation process of the marketed preparation has been basically obtained, and the development of the self-made preparation has been completed on this basis. The study was approved by the Ethics Committee of the Academy of Military Medical Sciences. Combined with the results of the taste evaluation experiment and the caffeine dissolution test of the preparation in 1 min, the hot-melt extrusion technology was screened out as the taste-masking technology of the self-made preparation, the parameters of the hot-melt extrusion process were screened by differential scanning calorimetry analysis, and finally a product with good taste and qualified quality was obtained, which provided a reference method for the research and development of related preparations.
Résumé
The efficient and safe delivery of drugs to the therapeutic site through the biofilm has traditionally been a difficult and hot topic in the field of drug delivery. In recent years, alkyl polyglycoside (APG) have become ideal penetration enhancers for drug delivery systems because of their high permeability, good safety and biodegradability, which has attracted wide attention of domestic and foreign researchers. In this paper, the physical and chemical properties, characteristics, action mechanism and application of APG in drug delivery system are reviewed, and its application prospect in drug delivery system is prospected.
Résumé
The development of printing ink is a challenge for binder jetting 3D printed preparations, which directly determines the quality of the printed product. This study adopted a 23 full-factor Design of Experiment (DoE) with three central points to optimize the printing ink composition of levetiracetam 3D printed dispersible tablet based on the concept of Quality by Design. Firstly, using polyvinyl pyrrolidone K30, glycerin and polysorbate 20 as independent variables based on 40% (v/v) isopropanol aqueous solution, and weight variation, hardness, friability and dispersion uniformity of the printed tablets were used as dependent variables. Then obtained the design space of the printing ink prescription by DoE model analysis, and the response optimizer was used to obtain the optimal printing ink prescription: isopropanol aqueous solution containing 0.1% (w/w) polyvinyl pyrrolidone K30 and 4.0% (w/w) glycerin. The jetting mechanism and wettability of the printing ink were analyzed, and different strengths of personalized 3D printed tablets were prepared and characterized, which verified the rationality of the printing ink formulation. This study provided a reference for the development of printing ink for binder jetting 3D printed preparations.
Résumé
This study aims to establish the design space of the key processes for drop-on-powder 3D printing based on design of experiment (DoE). By utilizing Minitab, an experimental scheme with three factors, two levels and three center points was designed to analyze the factors that significantly affected the tablet quality attributes. Furthermore, the factor interactions were analyzed using Minitab. subsequently, the computer aided drafting (CAD) software was used to adjust the model volume with fixed radius/height ratio (r/h = 1.25) and establish a linear regression equation between model volume and dose. As a result, the drug dose could be controlled in a flexible manner. The finally determined process parameters were: ink-jet level is 12, layer thickness is 150 μm, and the X-axis printing head speed of 635 mm·s-1. Regression equation between drug content (y) and model volume (x) was y = 0.062 x - 0.582 7 (R2 = 0.999 9) showing good linear relationship. This indicated that robust and feasible process parameters were obtained through DoE, and the preparation of personalized-dose tablets was realized with good reproducibility.
Résumé
3D printing technology has the advantages of accurate spatial distribution, accurate drug release and personalized drug dosage, which can make up for the shortcomings of traditional pharmaceutical technology. In recent years drop-on powder (DoP) 3D printing technology has been widely used in pharmaceutical preparation. Compared with other types of 3D printing technology, it is more simple, flexible and easy to operate. In 2015, Aprecia Pharmaceuticals announced that the US Food and Drug Administration (FDA) approves the launch of its first instant tablet Spritam® (levetiracetam) made with DoP 3D printing. After the first 3D printed medicine was launched, people also saw the unique advantages and broad prospects of DoP 3D printing technology platform in pharmaceutical preparation. This review focuses on the technical principles and key factors of DoP 3D printing, its application in the preparation field and its future development challenges.