Alastair Florence

Search results

• 2023

  Predicting pharmaceutical powder flow from microscopy images using deep learning

  Wilkinson, M. R., Pereira Diaz, L., Vassileiou, A. D., Armstrong, J. A., Brown, C. J., Castro-Dominguez, B. & Florence, A. J., 13 Feb 2023, (E-pub ahead of print) In: Digital Discovery. 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Deep Learning 100%
  • Powders 73%
  • Microscopy 60%
  • Pharmaceutical 53%
  • Flow 46%
  6 Downloads (Pure)

• Tautomerism unveils a self-inhibition mechanism of crystallization

  Tang, W., Yang, T., Morales-Rivera, C. A., Geng, X., Srirambhatla, V. K., Kang, X., Chauhan, V. P., Hong, S., Tu, Q., Florence, A. J., Mo, H., Calderon, H. A., Kisielowski, C., Hernandez, F. C. R., Zou, X., Mpourmpakis, G. & Rimer, J. D., 2 Feb 2023, (E-pub ahead of print) In: Nature Communications. 14, 1, 13 p., 561.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • tautomers 100%
  • Crystallization 79%
  • Tautomerization 71%
  • Crystals 65%
  • Crystal growth 61%
  5 Downloads (Pure)

• A unified ML framework for solubility prediction across organic solvents

  Vassileiou, A. D., Robertson, M. N., Wareham, B. G., Soundaranathan, M., Ottoboni, S., Florence, A. J., Hartwig, T. & Johnston, B. F., 19 Jan 2023, (E-pub ahead of print) In: Digital Discovery. 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Organic solvents 100%
  • Solubility 77%
  • Machine learning 51%
  • Screening 16%
  • Ceilings 9%
  2 Downloads (Pure)

• Machine learning derived correlations for scale-up and technology transfer of primary nucleation kinetics

  Yerdelen, S., Yang, Y., Quon, J. L., Papageorgiou, C. D., Mitchell, C., Houson, I., Sefcik, J., ter Horst, J. H., Florence, A. J. & Brown, C. J., 18 Jan 2023, (E-pub ahead of print) In: Crystal Growth and Design. 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • technology transfer 100%
  • machine learning 80%
  • Technology transfer 80%
  • Nucleation 66%
  • nucleation 47%
  4 Downloads (Pure)
• 2022

  Prediction of mefenamic acid crystal shape by random forest classification

  Nakapraves, S., Warzecha, M., Mustoe, C. L., Srirambhatla, V. & Florence, A. J. (ed.), 19 Dec 2022, (E-pub ahead of print) In: Pharmaceutical Research. p. 1-13 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Mefenamic Acid 100%
  • Crystal Habit 83%
  • Solvent 30%
  • Supersaturation 5%
  • Environment 5%
  1 Citation (Scopus)

  5 Downloads (Pure)

• Comparative studies of powder flow predictions using milligrams of powder for identifying powder flow issues

  Deng, T., Garg, V., Pereira Diaz, L., Markl, D., Brown, C., Florence, A. & Bradley, M. S. A., 25 Nov 2022, In: International Journal of Pharmaceutics. 628, 11 p., 122309.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Powders 100%
  • Shear 90%
  • Flow 63%
  • Pharmaceutical 48%
  • Pharmaceutical Industry 34%
  1 Citation (Scopus)

  8 Downloads (Pure)

• High spatial resolution ToF-SIMS imaging and image analysis strategies to monitor and quantify early phase separation in amorphous solid dispersions

  Paladino, E., Doerr, F. J. S., Bordos, E., Onyemelukwe, I. I., Lamprou, D. A., Florence, A. J., Gilmore, I. S. & Halbert, G. W., 25 Nov 2022, In: International Journal of Pharmaceutics. 628, 12 p., 122191.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Secondary Ion Mass Spectrometry 100%
  • Imaging Mass Spectrometry 77%
  • Recrystallization 54%
  • Crystallization 53%
  • Hot Melt Extrusion Technology 48%
  1 Citation (Scopus)

  23 Downloads (Pure)

• Temperature correction of spectra to improve solute concentration monitoring by in situ ultraviolet and mid-infrared spectrometries towards isothermal local model performance

  Chong, M. W. S., McGlone, T., Chai, C. Y., Briggs, N. E. B., Brown, C. J., Perciballi, F., Dunn, J., Parrott, A. J., Dallin, P., Andrews, J., Nordon, A. & Florence, A. J., 18 Nov 2022, In: Organic Process Research and Development. 26, 11, p. 3096-3105 10 p.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  File

  • solutes 100%
  • Solute 91%
  • Error 83%
  • standardization 67%
  • root-mean-square errors 58%
  1 Downloads (Pure)

• Autonomous DataFactory: high-throughput screening for large-scale data collection to inform medicine manufacture

  Pickles, T., Mustoe, C., Brown, C. & Florence, A., 1 Nov 2022, (E-pub ahead of print) In: British Journal of Pharmacy. 7, 2, 3 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Crystallization 100%
  • Throughput 89%
  • High Throughput Screening 88%
  • Medicine 82%
  • Screening 80%
  6 Downloads (Pure)

• Data mining crystallization kinetics

  Maldonado, D. A., Vassileiou, A., Johnston, B., Florence, A. J. & Brown, C. J., 1 Aug 2022, (E-pub ahead of print) In: Digital Discovery. 1, 5, p. 621-635 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Crystallization kinetics 100%
  • Kinetic parameters 77%
  • Data mining 52%
  • Crystallization 41%
  • Random forests 26%
  9 Downloads (Pure)

• Crystal structure and twisted aggregates of oxcarbazepine form III

  Polyzois, H., Guo, R., Srirambhatla, V. K., Warzecha, M., Prasad, E., Turner, A., Halbert, G. W., Keating, P., Price, S. L. & Florence, A. J., 6 Jul 2022, In: Crystal Growth and Design. 22, 7, p. 4146-4156 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Crystal structure 77%
  • Crystallization 49%
  • crystal structure 47%
  • Sublimation 42%
  • Polymorphism 37%
  3 Downloads (Pure)

• A crystallisation development workflow for the manufacturability improvement of active pharmaceutical ingredients

  Siddique, H., Hamilton, N., Robertson, M., Warzecha, M., Smith, K., Brown, C., Johnston, B., Florence, A. J., Douieb, S., Hadjittofis, E., Assaf, G., Carly, N., Pasha, M., Cocchini, U. & Mantanus, J., 16 May 2022, p. 49-49. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Crystallization 100%
  • Workflow 91%
  • Pharmaceutical 60%
  • Pipeline 47%
  • Pharmaceutical Preparations 34%
  3 Downloads (Pure)

• A unified AI framework for solubility prediction across organic solvents

  Vassileiou, A. D., Robertson, M. N., Wareham, B. G., Soundaranathan, M., Ottoboni, S., Florence, A. J., Hartwig, T. & Johnston, B. F., 16 May 2022, p. 24-24. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Solubility 100%
  • Datasets 79%
  • Organic Solvent 73%
  • Machine Learning 56%
  43 Downloads (Pure)

• Crystallisation MicroFactory test bed

  Pathan, M., McGinty, J., Chong, M. W. S., Robertson, M., Ottoboni, S., Li, W., McGowan, M., Ojo, E., Anwar, A., Brown, C. J., Sefcik, J., Nordon, A., Johnston, B., Price, C. J., Rielly, C. D., Benyahia, B., Houson, I. & Florence, A. J., 16 May 2022, p. 63-63. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File
  4 Downloads (Pure)

• Developing an autonomous DataFactory workflow for smallscale batch cooling crystallisation with the antiviral lamivudine

  Pickles, T., Mustoe, C., Brown, C. & Florence, A., 16 May 2022, p. 67-67. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Lamivudine 100%
  • Crystallization 79%
  • Workflow 73%
  • Solubility 66%
  • Antiviral Agents 56%
  5 Downloads (Pure)

• Discovery and applications of a novel solid-state arrangement: water bridge salt form

  Tanveer, S., Oswald, I. D. H. & Florence, A. J., 16 May 2022, p. 34-34. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Salts 100%
  • Water 75%
  • Application 35%
  6 Downloads (Pure)

• In-line process reactor test bed & sensor development

  Josifovic, A., Barrera, M., Brown, C., Johnston, B., Robertson, J. & Florence, A., 16 May 2022, p. 12-12. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Residence Time 100%
  • Coil 92%
  4 Downloads (Pure)

• Machine learning workflows to predict crystallisability, glass forming ability, mechanical properties of small organic compounds

  Srirambhatla, V. K., Johnston, B. & Florence, A., 16 May 2022, p. 23-23. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File
  3 Downloads (Pure)

• Mechanistic model development of α-lactose monohydrate crystallisation

  Johnston, J., Brown, C. & Florence, A., 16 May 2022, p. 56-56. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Alpha-Lactose 100%
  • Crystallization 75%
  • Lactose 73%
  • Software 47%
  • Kinetics 45%
  3 Downloads (Pure)

• Particle engineering-size controlled spherical agglomeration of benzoic acid

  Raval, V., McGowan, M., Smith, K. & Florence, A., 16 May 2022, p. 48-48. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Benzoic Acid 100%
  • Particle Size 73%
  • Agglomeration 68%
  • Needles 63%
  • Size Distribution 61%
  8 Downloads (Pure)

• Prediction of mefenamic acid crystal shape by random forest classification

  Nakapraves, S., Warzecha, M., Mustoe, C. & Florence, A. J., 16 May 2022, p. 31-31. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Mefenamic Acid 100%
  • Crystal Habit 83%
  • Machine Learning 36%
  • Application 10%
  9 Downloads (Pure)

• Prediction of powder flow of pharmaceutical materials using machine learning

  Pereira-Diaz, L., Brown, C. J. & Florence, A. J., 16 May 2022, p. 78-78. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Machine Learning 100%
  • Powders 89%
  • Pharmaceutical 64%
  • Flow 56%
  • Drug Industry 50%
  12 Downloads (Pure)

• The CMAC MicroFactory: mefenamic acid

  Chong, M., Brown, C., Mustoe, C., McGinty, J., Li, W., Pathan, M., Ottoboni, S., Prasad, E., Robertson, M., Mehta, B., McGowan, M., Siddique, H., Raval, V., Pereira Diaz, L., Siddique, M., Eales, W., Turner, A., Johnston, B., Robertson, J., Halbert, G., & 10 othersPrice, C., Benyahia, B., Rielly, C., Sefcik, J., Nordon, A., McGlone, T., Smith, K., Feilden, H., Houson, I. & Florence, A., 16 May 2022, p. 62-62. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File
  25 Downloads (Pure)

• The CMAC quality by digital design workflow

  Mustoe, C., Brown, C., Markl, D., Houson, I., Feilden, H., Robertson, M. & Florence, A., 16 May 2022, p. 65-65. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File
  4 Downloads (Pure)

• Towards an autonomous DataFactory for the small-batch cooling crystallisation of active pharmaceutical ingredients

  Mustoe, C., Pickles, T., Brown, C. & Florence, A., 16 May 2022, p. 66-66. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Crystallization 100%
  • Pharmaceutical 60%
  • Pharmaceutical Preparations 34%
  • Machine Learning 15%
  • Solubility 13%
  6 Downloads (Pure)

• Understanding the effect of spherical agglomeration on tablet manufacturability and performance

  Creswick, J., Raval, V., Florence, A. & Markl, D., 16 May 2022, p. 71-71. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Agglomeration 100%
  • Tablets 94%
  • Pharmaceutical 75%
  • Dosage Form 35%
  • Crystal Morphology 34%
  6 Downloads (Pure)

• Using machine learning to predict residence time distributions in Coiled Flow Inverter (CFI) reactors

  Barrera, M. C., Josifovic, A., Robertson, J., Johnston, B., Brown, C. & Florence, A., 16 May 2022, p. 11-11. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Machine Learning 100%
  • Residence Time 91%
  • Virus Inactivation 63%
  • Flow 56%
  • Chemical Transformation 18%
  7 Downloads (Pure)

• Direct image feature extraction and multivariate analysis for crystallisation process characterisation

  Doerr, F. J. S., Brown, C. J. & Florence, A. J., 6 Apr 2022, In: Crystal Growth and Design. 22, 4, p. 2105-2116 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Multivariate Analysis 100%
  • Crystallization 88%
  • pattern recognition 88%
  • Feature extraction 56%
  • crystallization 56%
  1 Citation (Scopus)

  10 Downloads (Pure)
• 2021

  Effect of oscillatory flow conditions on crystalliser fouling investigated through non-invasive imaging

  Sheridan, R., Cardona, J., Tachtatzis, C., Chen, Y-C., Cleary, A., Briggs, N. E. B., Florence, A., Atkinson, R., Michie, C., Andonovic, I. & Sefcik, J., 11 Oct 2021, (E-pub ahead of print) In: Chemical Engineering Science . 117188.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Oscillatory Flow 100%
  • Fouling 71%
  • Imaging 69%
  • Nucleation 62%
  • Imaging techniques 48%
  4 Citations (Scopus)

  6 Downloads (Pure)

• Investigation of wet milling and indirect ultrasound as means for controlling nucleation in the continuous crystallization of an active pharmaceutical ingredient

  Yang, Y., Ahmed, B., Mitchell, C., Quon, J. L., Siddique, H., Houson, I., Florence, A. J. & Papageorgiou, C. D., 17 Sep 2021, In: Organic Process Research and Development. 25, 9, p. 2119-2132 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • ingredients 100%
  • Nucleation 79%
  • crystallization 73%
  • nucleation 71%
  • Pharmaceutical 71%
  2 Citations (Scopus)

  27 Downloads (Pure)

• Heat transfer and residence time distribution in plug flow continuous oscillatory baffled crystallisers

  Briggs, N. E. B., McGinty, J., McCabe, C., Raval, V., Sefcik, J. & Florence, A. J., 20 Jul 2021, In: ACS Omega. 6, 28, p. 18352-18363 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Residence time distribution 100%
  • Heat Transfer 77%
  • Residence Time 75%
  • Heat transfer coefficients 66%
  • Heat transfer 48%
  6 Citations (Scopus)

  5 Downloads (Pure)

• The ambiguous functions of the precursors that enable nonclassical modes of olanzapine nucleation and growth

  Warzecha, M., Florence, A. J. & Vekilov, P. G., 26 Jun 2021, In: Crystals. 11, 7, 16 p., 738.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Olanzapine 100%
  • Crystallization 77%
  • Nucleation 67%
  • Crystals 63%
  • Dimers 48%
  2 Citations (Scopus)

  10 Downloads (Pure)

• Mechanistic insights of evaporation-induced actuation in supramolecular crystals

  Piotrowska, R., Hesketh, T., Wang, H., Martin, A. R. G., Bowering, D., Zhang, C., Hu, C. T., McPhee, S. A., Wang, T., Park, Y., Singla, P., McGlone, T., Florence, A., Tuttle, T., Ulijn, R. V. & Chen, X., 1 Mar 2021, In: Nature Materials . 20, p. 403–409 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • actuation 100%
  • Evaporation 94%
  • Crystals 94%
  • evaporation 72%
  • Pore 62%
  23 Citations (Scopus)

  51 Downloads (Pure)
• 2020

  Peptide isolation via spray drying: particle formation, process design and implementation for the production of spray dried glucagon

  Doerr, F. J. S., Burns, L. J., Lee, B., Hinds, J., Davis-Harrison, R. L., Frank, S. A. & Florence, A. J., 14 Dec 2020, In: Pharmaceutical Research. 37, 12, 19 p., 255.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Trehalose 100%
  • Glucagon 98%
  • Spray 68%
  • Drug Compounding 56%
  • Peptides 46%
  4 Citations (Scopus)

  23 Downloads (Pure)

• A micro-XRT image analysis and machine learning methodology for the characterisation of multi- particulate capsule formulations

  Doerr, F. J. S. & Florence, A. J., 1 Dec 2020, In: International Journal of Pharmaceutics: X. 2, 11 p., 100041.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Machine Learning 100%
  • Pellet 86%
  • Capsules 79%
  • X-Ray Microtomography 58%
  • Support Vector Machine 54%
  11 Citations (Scopus)

  31 Downloads (Pure)

• A micro-XRT image analysis and machine learning methodology for the characterisation of multi- particulate capsule formulations [Video Abstract]

  Doerr, F. J. S. & Florence, A. J., 1 Dec 2020

  Research output: Non-textual form › Digital or Visual Products

  Open Access

  File

  • Machine Learning 100%
  • Capsules 79%
  7 Downloads (Pure)

• Multistage, multi-zones antisolvent-cooling crystallisation of a proprietary API: experimental comparison of effect of geometry and hydrodynamics in four batch crystallisers

  Ojo, E., Osman, M., Mnemo, M., Anwar, A., Houson, I., O'Meahdra, R., Berthold, S. & Florence, A., 21 Oct 2020. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Crystallization 100%
  • Hydrodynamics 95%
  • Decision Making 68%
  • Pharmaceutical Preparations 34%
  10 Downloads (Pure)

• Olanzapine crystal symmetry originates in preformed centrosymmetric solute dimers

  Warzecha, M., Verma, L., Johnston, B. F., Palmer, J. C., Florence, A. J. & Vekilov, P. G., 23 Sep 2020, In: Nature Chemistry. 12, 10, p. 914-920 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Crystal symmetry 100%
  • Olanzapine 87%
  • Dimers 84%
  • Crystallization 68%
  • Crystal System 63%
  24 Citations (Scopus)

  24 Downloads (Pure)

• Data mining crystallization kinetics

  Brown, C., Maldonado, D. A., Vassileiou, A., Johnston, B. & Florence, A., 19 Aug 2020, (Unpublished).

  Research output: Contribution to conference › Speech

  • Crystallization kinetics 100%
  • Data Mining 77%
  • Crystallization 77%
  • Kinetic parameters 77%
  • Mining 73%

• Data mining crystallization kinetics

  Brown, C., Maldonado, D., Vassileiou, A., Johnston, B. & Florence, A., 11 Aug 2020, (E-pub ahead of print) 40 p.

  Research output: Working paper

  File

  • Crystallization kinetics 100%
  • Data Mining 77%
  • Crystallization 77%
  • Kinetic parameters 77%
  • Mining 73%
  32 Downloads (Pure)

• Humidity responsive tripeptide crystals

  Piotrowska, R., Hesketh, T., Wang, H., Martin, A. R. G., Bowering, D., Zhang, C., Hu, C. T., McPhee, S., Wang, T., Park, Y., Singla, P., McGlone, T., Florence, A., Tuttle, T., Ulijn, R. V. & Chen, X., 17 May 2020. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Tripeptide 100%
  • Humidity 82%
  • Force 61%
  • Pore 59%
  • Mechanical Stress 57%
  18 Downloads (Pure)

• Manual versus microfluidic-assisted nanoparticle manufacture: impact of silk fibroin stock on nanoparticle characteristics

  Solomun, J. I., Totten, J. D., Wongpinyochit, T., Florence, A. J. & Seib, F. P., 11 May 2020, In: ACS Biomaterials Science & Engineering. 6, 5, p. 2796-2804 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Fibroins 100%
  • Silk 92%
  • Microfluidics 83%
  • Nanoparticles 68%
  • Nanoparticle 34%
  18 Citations (Scopus)

  60 Downloads (Pure)

• Development and characterisation of a cascade of moving baffle oscillatory crystallisers (CMBOC)

  Raval, V., Siddique, H., Brown, C. J. & Florence, A. J., 7 Apr 2020, In: CrystEngComm. 22, 13, p. 2288-2296 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • baffles 100%
  • Crystallization 97%
  • Heat Transfer 86%
  • cascades 70%
  • Alpha-Lactose 64%
  3 Citations (Scopus)

  11 Downloads (Pure)

• Reversible two-step single-crystal to single-crystal phase transitions between desloratadine forms I, II and III

  Srirambhatla, V. K., Guo, R., Dawson, D. M., Price, S. L. & Florence, A. J., 4 Mar 2020, In: Crystal Growth and Design. 20, 3, p. 1800-1810 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Desloratadine 100%
  • Single crystals 66%
  • Phase transitions 59%
  • Crystals 45%
  • Single Crystalline Solid 40%
  17 Citations (Scopus)

  6 Downloads (Pure)
• 2019

  Why we need continuous pharmaceutical manufacturing and how to make it happen: a summary of thoughts from the international symposium on continuous manufacturing

  Badman, C., Cooney, C. L., Haslam, R. T., Florence, A., Konstantinov, K., Krumme, M., Mascia, S., Nasr, M., Trout, B. L. & Baddour, R. F., 30 Nov 2019, In: Journal of Pharmaceutical Sciences. 108, 11, p. 3521-3523 3 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Thinking 100%
  • Motivation 82%
  • Pharmaceutical 74%
  • Taxes 69%
  • Pharmaceutical Preparations 42%
  58 Citations (Scopus)

  15 Downloads (Pure)

• Digital design and operation of continuous crystallization processes via mechanistic modelling

  Mitchell, N., Mack, J., Tahir, F., Brown, C., Islam, M., Robertson, J., Lopez-Montero, E. & Florence, A., 12 Nov 2019.

  Research output: Contribution to conference › Speech

  • Crystallization 100%
  • Statistical Models 69%
  • Exercise Test 40%
  • Pharmaceutical 34%
  • Pharmaceutical Preparations 34%

• Quality by design approach for early understanding of active pharmaceutical ingredient recovery process through dead-end filtration

  Ojo, E., Rayat, ACME., Brown, C., Price, C., Hoare, M., Florence, A. & Johnston, A., 9 Nov 2019. 1 p.

  Research output: Contribution to conference › Poster › peer-review

  File

  • Filtration 100%
  • Pharmaceutical 84%
  • Pressure 75%
  • Pore Size 57%
  • BioXtra 53%
  1 Downloads (Pure)

• Enabling model-predictive design: rapid development of a PBM for an anti-solvent and cooling crystallisation in two different reactor geometries

  Ojo, E., Siddique, H., Houson, I., Brown, C., O'Meahdra, R., Berthold, S. & Florence, A., 3 Nov 2019. 1 p.

  Research output: Contribution to conference › Poster › peer-review

  Open Access

  File

  • phytobacteriomycin 100%
  • Crystallization 71%
  • Suspensions 17%
  • Research Design 15%
  • Pharmaceutical Preparations 8%
  9 Downloads (Pure)

• Developing mechanistic understanding of unconventional growth in pharmaceutical crystals using scanning electron microscopy, atomic force microscopy and time-of-flight secondary ion mass spectrometry

  Polyzois, H., Warzecha, M., Paladino, E., Bowering, D., Guo, R., Price, S. L., Halbert, G. & Florence, A., 16 Oct 2019. 1 p.

  Research output: Contribution to conference › Poster

  • Secondary Ion Mass Spectrometry 100%
  • Oxcarbazepine 85%
  • Atomic Force Microscopy 72%
  • Electron Scanning Microscopy 57%
  • Crystallization 30%

• Use of terahertz-Raman spectroscopy to determine solubility of the crystalline active pharmaceutical ingredient in polymeric matrices during hot melt extrusion

  Bordos, E., Islam, M. T., Florence, A. J., Halbert, G. W. & Robertson, J., 7 Oct 2019, In: Molecular Pharmaceutics. 16, 10, p. 4361-4371 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Terahertz Spectroscopy 100%
  • Hot Melt Extrusion Technology 82%
  • Raman Spectrum Analysis 65%
  • Solubility 50%
  • Extrusion 48%
  13 Citations (Scopus)

  22 Downloads (Pure)