3D printing: Principles and pharmaceutical applications of selective laser sintering

Awad, Atheer; Fina, Fabrizio; Goyanes, Álvaro; Gaisford, Simon; Basit, Abdul W.

doi:10.1016/j.ijpharm.2020.119594

Cited by 249 publications

(161 citation statements)

References 106 publications

Supporting

Mentioning

129

Contrasting

Order By: Relevance

“…Powder bed fusion (PBF) based 3D printing utilizes either a laser or an electron beam to fuse the feedstock layer by layer into a part 1 . This fusion is attributed to the melting or sintering of the components present in the feedstock, where melting includes heating, liquid conversion, fusion, and solidification, and sintering includes heating and fusion without liquid conversion [2][3][4] . Thereby, a 3D printing process utilizing a laser source meant to sinter is known as selective laser sintering (SLS) 5 .…”

Section: Introductionmentioning

confidence: 99%

Selective Laser Sintering of a Photosensitive Drug: Impact of Processing and Formulation Parameters on Degradation, Solid-State, and Quality of 3D Printed Dosage Forms

Thakkar¹,

Davis²,

Williams³

et al. 2021

Preprint

View full text Add to dashboard Cite

This research study utilized a light-sensitive drug, nifedipine (NFD), to understand the impact of processing parameters, and formulation composition on drug degradation, crystallinity, and quality attributes (dimensions, hardness, disintegration time) of selective laser sintering (SLS) based 3D printed dosage forms. Selective laser sintering (SLS), in most cases, uses an ultraviolet laser source, and drugs tend to absorb radiation at varying intensities around this wavelength (455 nm). This phenomenon may lead to chemical degradation, and solid-state transformation, which was assessed for nifedipine in formulations with varying amounts of vinyl pyrrolidone-vinyl acetate copolymer (Kollidon® VA 64) and potassium aluminum silicate-based pearlescent pigment (Candurin®), processed under different SLS conditions in the presented work. After preliminary screening Candurin®, surface temperature (ST), and laser speed (LS) were identified as the significant independent variables. Further, using the identified independent variables a 17-run, randomized, Box-Behnken design was developed to understand the correlation trends and quantify the impact on degradation (%), crystallinity, quality attributes (dimensions, hardness, disintegration time) employing qualitative and quantitative analytical tools. The design of experiments (DoE) and statistical analysis observed that LS and Candurin® (%wt) had a strong negative correlation on drug degradation, hardness, and weight, whereas ST had a strong positive correlation with, drug degradation, amorphous conversion, and hardness of the 3D printed dosage form. From this study, it can be concluded that formulation and processing parameters have a critical impact on stability and performance; hence these parameters should be evaluated and optimized before exposing light-sensitive drugs to the SLS processes.

show abstract

Section: Introductionmentioning

confidence: 99%

Selective Laser Sintering of a Photosensitive Drug: Impact of Processing and Formulation Parameters on Degradation, Solid-State, and Quality of 3D Printed Dosage Forms

Thakkar¹,

Davis²,

Williams³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Extensive research has been conducted on the application of using SLS in the printing of medicine [ 11 ], selected works include printing of immediate-release [ 5 ], sustained/controlled/modified release [ 12 , 13 ], multi-drug containing [ 14 ], and orally disintegrating dosage forms [ 15 ]. Although SLS has proven to be a versatile solvent-free technique for printing dosage forms, most of the drug candidates used in the conducted research belong to the class I of the biopharmaceutical classification system (BCS).…”

Section: Introductionmentioning

confidence: 99%

Novel On-Demand 3-Dimensional (3-D) Printed Tablets Using Fill Density as an Effective Release-Controlling Tool

et al. 2020

View full text Add to dashboard Cite

This research demonstrates the use of fill density as an effective tool for controlling the drug release without changing the formulation composition. The merger of hot-melt extrusion (HME) with fused deposition modeling (FDM)-based 3-dimensional (3-D) printing processes over the last decade has directed pharmaceutical research towards the possibility of printing personalized medication. One key aspect of printing patient-specific dosage forms is controlling the release dynamics based on the patient’s needs. The purpose of this research was to understand the impact of fill density and interrelate it with the release of a poorly water-soluble, weakly acidic, active pharmaceutical ingredient (API) from a hydroxypropyl methylcellulose acetate succinate (HPMC-AS) matrix, both mathematically and experimentally. Amorphous solid dispersions (ASDs) of ibuprofen with three grades of AquaSolveTM HPMC-AS (HG, MG, and LG) were developed using an HME process and evaluated using solid-state characterization techniques. Differential scanning calorimetry (DSC), powder X-ray diffraction (pXRD), and polarized light microscopy (PLM) confirmed the amorphous state of the drug in both polymeric filaments and 3D printed tablets. The suitability of the manufactured filaments for FDM processes was investigated using texture analysis (TA) which showed robust mechanical properties of the developed filament compositions. Using FDM, tablets with different fill densities (20–80%) and identical dimensions were printed for each polymer. In vitro pH shift dissolution studies revealed that the fill density has a significant impact (F(11, 24) = 15,271.147, p < 0.0001) and a strong negative correlation (r > −0.99; p < 0.0001) with the release performance, where 20% infill demonstrated the fastest and most complete release, whereas 80% infill depicted a more controlled release. The results obtained from this research can be used to develop a robust formulation strategy to control the drug release from 3D printed dosage forms as a function of fill density.

show abstract

“…3D printing is an additive manufacturing method with great utility in production of personalized medicines. [110][111][112][113][114][115][116][117][118][119][120] The human microbiome is as unique as one's fingerprint, thus 3D printing could be a useful technique for manufacture of personalized microbiome therapeutics. [121][122][123][124][125][126][127] Such formulations could contain live microorganisms, for example oral films containing viable probiotics have been produced using inkjet printing.…”

Section: Entities Altering the Microbiome Microenvironmentmentioning

confidence: 99%

Harnessing machine learning for development of microbiome therapeutics

et al. 2021

Self Cite

View full text Add to dashboard Cite

The last twenty years of seminal microbiome research has uncovered microbiota's intrinsic relationship with human health. Studies elucidating the relationship between an unbalanced microbiome and disease are currently published daily. As such, microbiome big data have become a reality that provide a mine of information for the development of new therapeutics. Machine learning (ML), a branch of artificial intelligence, offers powerful techniques for big data analysis and predictionmaking, that are out of reach of human intellect alone. This review will explore how ML can be applied for the development of microbiome-targeted therapeutics. A background on ML will be given, followed by a guide on where to find reliable microbiome big data. Existing applications and opportunities will be discussed, including the use of ML to discover, design, and characterize microbiome therapeutics. The use of ML to optimize advanced processes, such as 3D printing and in silico prediction of drug-microbiome interactions, will also be highlighted. Finally, barriers to adoption of ML in academic and industrial settings will be examined, concluded by a future outlook for the field.

show abstract

3D printing: Principles and pharmaceutical applications of selective laser sintering

Cited by 249 publications

References 106 publications

Selective Laser Sintering of a Photosensitive Drug: Impact of Processing and Formulation Parameters on Degradation, Solid-State, and Quality of 3D Printed Dosage Forms

Selective Laser Sintering of a Photosensitive Drug: Impact of Processing and Formulation Parameters on Degradation, Solid-State, and Quality of 3D Printed Dosage Forms

Novel On-Demand 3-Dimensional (3-D) Printed Tablets Using Fill Density as an Effective Release-Controlling Tool

Harnessing machine learning for development of microbiome therapeutics

Contact Info

Product

Resources

About