Hattori Y, Haruna Y, Otsuka M. Dissolution process analysis using model-free Noyes–Whitney integral equation. Colloids Surf B. 2013;102:227–31.

Article  CAS  Google Scholar 

Thakkar R, Zhang Y, Zhang J, Maniruzzaman M. Synergistic application of twin-screw granulation and selective laser sintering 3D printing for the development of pharmaceutical dosage forms with enhanced dissolution rates and physical properties. Eur J Pharm Biopharm. 2021;163:141–56.

Article  PubMed  CAS  Google Scholar 

Saeki I, Kondo K, Furukoshi Y, Watanabe Y, Niwa T. Design of taste-masked swellable drug particles using dry-coating technology with mechanical curing. Eur J Pharm Biopharm. 2021;160:9–22.

Article  PubMed  CAS  Google Scholar 

Ibraheem B, Wagner KG. Influence of high pressure compaction on solubility and intrinsic dissolution of ibuprofen binary mixtures employing standard excipients. Int J Pharm X. 2021;3: 100075.

PubMed  PubMed Central  CAS  Google Scholar 

Akhgari A, Soltani F, Kamali H, Akhgari A, Garekani HA, Nokhodchi A, Sadeghi F. Different trends for preparation of budesonide pellets with enhanced dissolution rate. Adv Powder Technol. 2022;33: 103684.

Article  Google Scholar 

Lentz KA, Plum J, Steffansen B, Arvidsson PO, Omkvist DHO, Pedersen AJ, Sennbro CJ, Pedersen GP, Jacobsen J. Predicting in vivo performance of fenofibrate amorphous solid dispersions using in vitro non-sink dissolution and dissolution permeation setup. Int J Pharm. 2021;610: 121174.

Article  PubMed  CAS  Google Scholar 

Majid H, Bartel A, Burckhardt BB. Predictivity of standardized and controlled permeation studies: ex vivo-in vitro-in vivo correlation for sublingual absorption of propranolol. Eur J Pharm Biopharm. 2021;169:12–9.

Article  PubMed  CAS  Google Scholar 

Antequera T, Caballero D, Grassi S, Uttaro B, Perez-Palacios T. Evaluation of fresh meat quality by hyperspectral imaging (HSI), nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI): a review. Meat Sci. 2021;172: 108340.

Article  PubMed  CAS  Google Scholar 

Zarmpi P, Flanagan T, Meehan E, Mann J, Fotaki N. Surface dissolution UV imaging for characterization of superdisintegrants and their impact on drug dissolution. Int J Pharm. 2020;577: 119080.

Article  PubMed  CAS  Google Scholar 

Talwar S, Roopwani R, Anderson CA, Buckner IS, Drennen JK. Determination of spatially resolved tablet density and hardness using near-infrared chemical imaging (NIR-CI). Appl Spectrosc. 2017;71(8):1906–14.

Article  PubMed  CAS  Google Scholar 

Wahl PR, Pucher I, Scheibelhofer O, Kerschhaggl M, Sacher S, Khinast JG. Continuous monitoring of API content, API distribution and crushing strength after tableting via near-infrared chemical imaging. Int J Pharm. 2017;518(1–2):130–7.

Article  PubMed  CAS  Google Scholar 

Khorasani M, Amigo JM, Sun CC, Bertelsen P, Rantanen J. Near-infrared chemical imaging (NIR-CI) as a process monitoring solution for a production line of roll compaction and tableting. Eur J Pharm Biopharm. 2015;93:293–302.

Article  PubMed  CAS  Google Scholar 

Moltgen CV, Puchert T, Menezes JC, Lochmann D, Reich G. A novel in-line NIR spectroscopy application for the monitoring of tablet film coating in an industrial scale process. Talanta. 2012;92:26–37.

Article  PubMed  Google Scholar 

Khorasani M, Amigo JM, Bertelsen P, Sun CQC, Rantanen J. Process optimization of dry granulation based tableting line: extracting physical material characteristics from granules, ribbons and tablets using near-IR (NIR) spectroscopic measurement. Powder Technol. 2016;300(120):120–5.

Article  CAS  Google Scholar 

Yu JP, He XG, Han X, Feng YL, Chu GH. Enrichment of luteoloside in chamomile by ZIF-8 adsorption materials and its application in micro-NIR spectroscopy. Chin J Anal Lab. 2022;41(1):12–8.

CAS  Google Scholar 

Zhao Y, Li W, Shi Z, Drennen JK 3rd, Anderson CA. Prediction of dissolution profiles from process parameters, formulation, and spectroscopic measurements. J Pharm Sci. 2019;108(6):2119–27.

Article  PubMed  CAS  Google Scholar 

Baranwal Y, Román-Ospino AD, Keyvan G, Ha JM, Hong EP, Muzzio FJ, Ramachandran R. Prediction of dissolution profiles by non-destructive NIR spectroscopy in bilayer tablets. Int J Pharm. 2019;565:419–36.

Article  PubMed  CAS  Google Scholar 

Galata DL, Farkas A, Könyves Z, Mészáros LA, Szabó E, Csontos I, Pálos A, Marosi G, Nagy ZK, Nagy B. Fast, spectroscopy-based prediction of in vitro dissolution profile of extended release tablets using artificial neural networks. Pharmaceutics. 2019;11(8):400.

Article  PubMed  PubMed Central  CAS  Google Scholar 

Zeng Q, Wang L, Wu SJ, Fang GP, Liu H, Li Z, Li WL. Dissolution profiles prediction of sinomenine hydrochloride sustained-release tablets using Raman mapping technique. Int J Pharm. 2022;620: 121743.

Article  PubMed  CAS  Google Scholar 

Takayama K, Kawai S, Obata Y, Todo H, Sugibayashi K. Prediction of dissolution data integrated in tablet database using four-layered artificial neural networks. Chem Pharm Bull. 2017;65(10):967–72.

Article  CAS  Google Scholar 

Pishnamazi M, Ismail HY, Shirazian S, Iqbal J, Collins MN. Application of lignin in controlled release: development of predictive model based on artificial neural network for API release. Cellulose. 2019;26:6165–78.

Article  CAS  Google Scholar 

Ojala K, Myrskyranta M, Liimatainen A, Kortejärvi H, Juppo A. Prediction of drug dissolution from Toremifene 80 mg tablets by NIR spectroscopy. Int J Pharm. 2020;577: 119028.

Article  PubMed  CAS  Google Scholar 

Li WL, Luo Y, Wang X, Gong XC, Huang WH, Wang GX, Qu HB. Development and validation of a near-infrared spectroscopy method for multicomponent quantifification during the second alcohol precipitation process of astragali radix. Separations. 2022;9:310.

Article  CAS  Google Scholar 

Jiang H, Zhang H, Chen Q, Mei C, Liu G. Identification of solid state fermentation degree with FT-NIR spectroscopy: comparison of wavelength variable selection methods of CARS and SCARS. Spectrochim Acta A. 2015;149:1–7.

Article  CAS  Google Scholar 

Tan C, Wang JY, Wu T, Qin X, Li ML. Determination of nicotine in tobacco samples by near-infrared spectroscopy and boosting partial least squares. Vib Spectrosc. 2010;54:35–41.

Article  CAS  Google Scholar 

Deng SG, Xu YF, Li XL, He Y. Moisture content prediction in tealeaf with near infrared hyperspectral imaging. Comput Electron Agric. 2015;118:38–46.

Article  Google Scholar 

Li WL, Wang X, Chen HL, Yan X, Qu HB. In-line Vis-NIR spectral analysis for the column chromatographic processes of the Ginkgo biloba L. leaves. Part II: batch-to-batch consistency evaluation of the elution process. Separations. 2022;9:378.

Article  Google Scholar 

Ouyang Q, Zhao J, Chen Q. Measurement of non-sugar solids content in Chinese rice wine using near infrared spectroscopy combined with an efficient characteristic variables selection algorithm. Spectrochim Acta A. 2015;151:280–5.

Article  CAS  Google Scholar 

Gupta R, Srivastava D, Sahu M, Tiwari S, Ambasta RK, Kumar P. Artificial intelligence to deep learning: machine intelligence approach for drug discovery. Mol Divers. 2021;25(3):1315–60.

Article  PubMed  PubMed Central  CAS  Google Scholar