| 2023      | 2022      | 2021      

| 2020      | 2019      | 2018      | 2017      | 2016      | 2015

| 2023

1) Chiba, Y., Okada, K., Hayashi, Y., Kumada, S., Onuki, Y.

Usefulness of Applying Partial Least Squares Regression to T2 Relaxation Curves for Predicting the Solid form Content in Binary Physical Mixtures.

Journal of Pharmaceutical Sciences, 112(4), 1041–1051.

https://doi.org/10.1016/j.xphs.2022.11.028


2) Hayashi, Y., Noguchi, M., Oishi, T., Ono, T., Okada, K., Onuki, Y., 

Application of unsupervised and supervised learning to a material attribute database of tablets produced at two different granulation scales.

Int. J. Pharm. 123066.

https://doi.org/10.1016/j.ijpharm.2023.123066


3) Onuki, Y., 2023.

In Silico Technologies to Boost Pharmaceutical Development.

Chem. Pharm. Bull.

https://doi.org/10.1248/CPB.C23-CTF7106


4) Hayashi, Y., Nakano, Y., Marumo, Y., Kumada, S., Okada, K., Onuki, Y.,

A Data-Driven Approach to Predicting Tablet Properties after Accelerated Test Using Raw Material Property Database and Machine Learning.

Chem. Pharm. Bull. 71, c22-00538.

https://doi.org/10.1248/cpb.c22-00538


5) Tsuji, T., Ono, T., Taguchi, H., Leong, K.H., Hayashi, Y., Kumada, S., Okada, K., Onuki, Y., 

Continuous Monitoring of the Hydration Behavior of Hydrophilic Matrix Tablets Using Time-Domain NMR.

Chem. Pharm. Bull. 71, c23-00214.

https://doi.org/10.1248/cpb.c23-00214


6) Ono, T., Okada, K., Tsuchiya, M., Hayashi, Y., Kumada, S., Onuki, Y.,

Continuous Monitoring of the Agglomeration and Sedimentation of Indomethacin Nanosuspensions Using T2 Relaxation Time with Time-Domain NMR.

Chem. Pharm. Bull. 71, c23-00207.

https://doi.org/10.1248/cpb.c23-00207



| 2022

1) Chiba Y, Okada K, Hayashi Y, Leong KH, Kumada S, Onuki Y, 

Characterization of the salt and free base of active pharmaceutical ingredients based on NMR relaxometry measured by time domain NMR,

Chem. Pharm. Bull., 70 (2022) 162-168.

https://www.jstage.jst.go.jp/article/cpb/70/2/70_c21-00975/_article

 

2) Onuki Y, Sugiura D, Kumada S, Kobayashi R, Nakamura T, Kogawa T, Sakai H, Okada K, 

The Molded Tablet, a disintegrant-free orally disintegrating tablet, resists thickening solution-reduced drug dissolution,

J. Drug Deliv. Sci. Technol., 69 (2022) 103179.

https://www.sciencedirect.com/science/article/pii/S1773224722000880


3) Tsuji, T., Kobayashi, R., Hayashi, Y., Kumada, S., Mizuguchi, M., Okada, K., Onuki, Y. 

Determination of Hardness of a Pharmaceutical Oral Jelly by Using T2 Relaxation Behavior Measured by Time-Domain NMR.

Chem Pharm Bull., 70 (2022)  558-565.

https://doi.org/10.1248/cpb.c22-00261


4) Okada, K., Hayashi, Y., Tsuji, T., Onuki, Y.

Low-Field NMR to Characterize the Crystalline State of Ibuprofen Confined in Ordered or Nonordered Mesoporous Silica.

Chemical and Pharmaceutical Bulletin, 70(8) c22-00180.

https://doi.org/10.1248/cpb.c22-00180


5) Yamada, M., Ishikawa, A., Muramatsu, S., Furuishi, T., Onuki, Y., Fukuzawa, K.,  Yonemochi, E.

Study of Orally Disintegrating Tablets Using Erythritol as an Excipient Produced by Moisture-Activated Dry Granulation (MADG).

Pharmaceuticals, 15(8), 1004.

https://doi.org/10.3390/ph15081004


6) Iwata, H., Hayashi, Y., Hasegawa, A., Terayama, K., Okuno, Y.

Classification of scanning electron microscope images of pharmaceutical excipients using deep convolutional neural networks with transfer learning.

International Journal of Pharmaceutics: X, 4(August), 100135.

https://doi.org/10.1016/j.ijpx.2022.100135

 


| 2021

1) Ougi, K., Hayashi, Y., Tsuji, T., Ito, T., Hoong Leong, K., Usuda, S., Kumada, S., Okada, K., Onuki, Y.,

Time-domain NMR analysis for the determination of water content in pharmaceutical ingredients and wet granules.

Int. J. Pharm. 120770.

https://doi.org/10.1016/j.ijpharm.2021.120770


2) Okada, K., Hayashi, Y., Kumada, S., Onuki, Y.,

Nondestructive Investigation of the Agglomeration Process for Nanosuspensions via NMR Relaxation of Water Molecules.

Eur. J. Pharm. Sci. 105908.

https://doi.org/10.1016/j.ejps.2021.105908


3) Matsuo, M., Okada, K., Onuki, Y., Yamazaki, M.,

Incompatibility of remimazolam besylate with Ringer’s acetate infusion resulting in total occlusion of an intravenous catheter.

BMJ Case Rep. 14, e241622.

https://doi.org/10.1136/bcr-2021-241622


4) Usuda, S., Masukawa, N., Leong, K.H., Okada, K., Onuki, Y.,

Effects of Manufacturing Process Variables on the Tablet Weight Variation of Mini-tablets Clarified by a Definitive Screening Design.

Chem. Pharm. Bull. 69, 896–904.

https://doi.org/10.1248/cpb.c21-00427


5) Hayashi, Y., Nakano, Y., Marumo, Y., Kumada, S., Okada, K., Onuki, Y.,

Application of machine learning to a material library for modeling of relationships between material properties and tablet properties.

Int. J. Pharm. 609, 121158.

https://doi.org/10.1016/j.ijpharm.2021.121158




| 2020

1) Oishi T, Hayashi Y, Noguchi M, Yano F, Kumada S, Takayama K, Okada K, Onuki Y, 

Creation of novel large dataset comprising several granulation methods and the prediction of tablet properties from critical material attributes and critical process parameters using regularized linear regression models including interaction terms

Int. J. Pharm. 2020, 577.

https://doi.org/10.1016/j.ijpharm.2020.119083


2) Ikeuchi-Takahashi, Y., Ito, S., Itokawa, A., Ota, M., Onuki, Y., Hidaka, S., Onishi, H., Preparation and evaluation of orally disintegrating tablets containing taste masked microparticles of acetaminophen.

Pharmazie 2020. 75, 2–6.

https://doi.org/10.1691/ph.2020.9126


3) Kosugi, A., Leong, K.H., Tsuji, H., Hayashi, Y., Kumada, S., Okada, K., Onuki, Y., 

Characterization of Powder- and Tablet Properties of Different Direct Compaction Grades of Mannitol Using a Kohonen Self-organizing Map and a Lasso Regression Model.

J. Pharm. Sci. 2020. 109, 2585–2593.

https://doi.org/10.1016/j.xphs.2020.05.010


4) Okada, K., Hayashi, Y., Kumada, S., Onuki, Y.,

Quantitative Evaluation of the Crystallinity of Indomethacin Using 1H T2 Relaxation Behaviors Measured by Time Domain NMR.

J. Pharm. Sci. 2020. 109, 2577–2584.

https://doi.org/10.1016/j.xphs.2020.05.009


5) Hayashi, Y.; Shirotori, K.; Kosugi, A.; Kumada, S.

A Precise Prediction Method for the Properties of API-Containing Tablets Based on Data from Placebo Tablets.

Pharmaceutics 2020, 1–13.

https://doi.org/10.3390/pharmaceutics12070601


6) Ougi, K., Okada, K., Leong, K.H., Hayashi, Y., Kumada, S., Onuki, Y.,

Effect of the molecular mobility of water adsorbed by disintegrants on storage-induced hydrolytic degradation of acetylsalicylic acid incorporated into tablets under humid conditions.

Eur. J. Pharm. Sci. 2020. 154, 105502.

https://doi.org/10.1016/j.ejps.2020.105502


7) Kosugi, A. Leong, K.H. Urata, E. Hayashi, Y. Kumada, S. Okada, K. Onuki, Y.

Effect of Different Direct Compaction Grades of Mannitol on the Storage Stability of Tablet Properties Investigated Using a Kohonen Self-Organizing Map and Elastic Net Regression Model. Pharmaceutics 2020, 12, 886.

https://doi.org/10.3390/pharmaceutics12090886


8) Sugiura D, Onuki Y, Fujita Y, Nakamura A, Harada T.

Effect of disintegrants on prolongation of tablet disintegration induced by immersion in xanthan gum-containing thickening solution: Contribution of disintegrant interactions with disintegration fluids.

Chem. Pharm. Bull. 2020 Nov; 68(11): 1055-1060.

https://www.jstage.jst.go.jp/article/cpb/68/11/68_c20-00480/_article/-char/ja


9) Yamamoto Y, Onuki Y, Fukami T, Koide T.

Comparison of various pharmaceutical properties of clobetasol propionate cream formulations- Considering stability of mixture with moisturizer-.

J. Pharm. Health Car. Sci. 2020 Jan; 6(1).

https://jphcs.biomedcentral.com/articles/10.1186/s40780-020-0158-y



| 2019

1) Sahoo P, Leong K H, Nyamathulla S, Onuki Y, Takayama K, Chung L Y.

Chitosan complexed carboxymethylated iota- carrageenan oral insulin particles: Stability, permeability and in vivo evaluation.

Mater. Today Commun. 2019; 20(100557): 1-9.

https://doi.org/10.1016/j.mtcomm.2019.100557


2) Okada K, Hirai D, Kumada S, Kosugi A, Hayashi Y, Onuki Y,

1H NMR relaxation study to evaluate the crystalline state of active pharmaceutical ingredients containing solid dosage forms using time domain NMR

J. Pharm. Sci., 2019; 108(1) 451-456


3) Ito T, Okada K, Leong KH, Hirai D, Hayashi Y, Kumada S, Kosugi A, Onuki Y,

A Time-Domain NMR Study of the State of Water in Wet Granules with Different Fillers and Its Contribution to the Wet Granulation Process and to the Characteristics of Granules

Chem. Pharm. Bull. 2019; 67, 271–276


4) Okada K, Hirai D, Hayashi Y, Kumada S, Kosugi A, Onuki Y,

A Novel Approach to Evaluate Amorphous-to-Crystalline Transformation of Active Pharmaceutical Ingredients in Solid Dispersion Using Time-Domain NMR

Chem. Pharm. Bull. 2019; 67, 265–270 


5) Hayashi Y, Marumo Y, Takahashi T, Nakano Y, Kosugi A, Kumada S, Hirai D, Takayama K, Onuki Y,

In silico predictions of tablet density using a quantitative structure–property relationship model

Int J Pharm, 2019; 558, 351-356


6) Tsuji T, Mochizuki K, Okada K, Hayashi Y, Obata Y, Takayama K, Onuki Y,

Time–temperature superposition principle for the kinetic analysis of destabilization of pharmaceutical emulsions,

Int. J. Pharm., 2019; 563, 406-412


7) Okada K, Hirai D, Hayashi Y, Kumada S, Kosugi A, Onuki Y.

T2 Relaxation Study to Evaluate the Crystalline State of Indomethacin Containing Solid Dispersions Using Time-Domain NMR,

Chem. Pharm. Bull. 2019; 67, 580–586 


8) Yoshimura-Fujii M, Yamamoto Y, Koide T, Hamaguchi M, Onuki Y, Suzuki N, Suzuki T, Fukami T.

Imaging analysis enables to differentiate distribution of pharmaceutical ingredients in tacrolimus ointments.

Appl. Spectrosc. 2019 Oct; 73(10): 1183-92.



| 2018

1) Onuki Y, Kosugi A, Hamaguchi M, Marumo Y, Kumada S, Hirai D. Ikeda J, Hayashi Y, A comparative study of disintegration actions of various disintegrants using Kohonen’s self-organizing maps.

J Drug Deliv Sci Technol. 2018; Feb 43: 141-148


2) Hayashi Y, Oishi T, Shirotori K, Marumo Y, Kosugi A, Kumada S, Hirai D, Takayama K, Onuki Y,

Modeling of quantitative relationships between physicochemical properties of active pharmaceutical ingredients and tensile strength of tablets using a boosted tree

Drug Dev Ind Pharm. 2018; 44(7): 1090−1098 


3) Hayashi Y, Kosugi A, Miura T, Takayama K, Onuki Y,

Determining the influence of granule size on simulation parameters and residual shear stress distribution in tablets by combining the finite element method into the design of experiments

Chem Pharm Bull. 2018; 66(5) 541−547


4) Hayashi Y, Okada N, Takayama K, Obata Y, Onuki Y, 

Strength simulation of scored tablets based on the finite element method using an extreme vertices design.

Chem. Pharm. Bull. 2018; 66(7) 727−731


5) Phutthatiraphap S, Hayashi Y, Fujii T, Kosugi A, Okada K, Kadozaki T, Ishise T, 

Sakai H, Onuki Y,

Inhibition of gastric H+,K+-ATPase activity in vitro by dissolution media of original brand-name and generic tablets of lansoprazole, a proton pump inhibitor.

Chem. Pharm. Bull. 2018; 66(9) 896-900


6) Yokokawa M, Setoyama H, Okada K, Hayashi Y, Machida Y, Onuki Y, Obata Y,

MRI Monitoring of the Mixed State of Admixtures Consisting of Moisturizing Cream and Steroid Ointment During the Mixing Process by a Revolution/Rotation-Type Hybrid Mixer

Chem. Pharm. Bull. 2018; 66(11) 1078-1082


7) Ito T, Kida C, Okada K, Ikeda J, Otomura K, Hayashi Y, Obata Y, Takayama K, Onuki Y,

Nondestructive Monitoring of the Dispersion State of Titanium Dioxide Nanoparticles in Concentrated Suspensions Using Magnetic Resonance Imaging

Langmuir, 2018; 34(40) 12093–12099




| 2017

1) Ishii-Mizuno Y, Umeki Y, Onuki Y, Watanabe H, Takahashi Y, Takakura Y, Nishikawa M. 

Improved sustained release of antigen from immunostimulatory DNA hydrogel by electrostatic interaction with chitosan.

Int J Pharm. 2017 Jan 10;516(1-2):392-400. 


2) Yoshida S, Obata Y, Onuki Y, Utsumi S, Ohta N, Takahashi H, Takayama K.

Molecular interaction between intercellular lipids in the stratum corneum and l-menthol, as analyzed by synchrotron X-ray diffraction.

Chem Pharm Bull (Tokyo). 2017; 65(2):134-142.


3) Onuki Y, Funatani C, Yamamoto Y, Fukami T, Koide T, Hayashi Y, Takayama K. 

Stability of Mixed Preparations Consisting of Commercial Moisturizing Creams with an Ointment Base Investigated by Magnetic Resonance Imaging.

Chem Pharm Bull (Tokyo). 2017;65(5):487-491.


4) Hayashi Y, Tsuji T, Shirotori K, Oishi T, Kosugi A, Kumada S, Hirai D, Takayama K, Onuki Y.

Relationships between response surfaces for tablet characteristics of placebo and API-containing tablets manufactured by direct compression method.

Int J Pharm. 2017; 532(1):82-89


5) Leong KH, Sahoo P, Nyamathulla S, Onuki Y, Takayama K, Chung LY, 

Optimization of pH responsive carboxymethylated iota-carrageenan/chitosan nanoparticles for oral insulin delivery using response surface methodology.

React Funct Polym. 2017 Oct;119: 145-155.


6) Yamamoto Y, Fukami T, Onuki Y, Metori K, Suzuki T, Koide T, 

Comparison of pharmaceutical properties among clobetasol propionate cream formulations: Considerations from near infrared spectra.

Vib Spectrosc. 2017 Nov;93: 17-22.




| 2016

1) Uehara N, Hayashi Y, Mochida H, Otoguro S, Onuki Y, Obata Y, Takayama K. 

Latent structure analysis in the pharmaceutical process of tablets prepared by wet granulation.

Drug Dev Ind Pharm. 2016 Jan; 42(1):116-22.


2) Onuki Y, Obata Y, Kawano K, Sano H, Matsumoto R, Hayashi Y, Takayama K.

Membrane Microdomain Structures of Liposomes and Their Contribution to the Cellular Uptake Efficiency into HeLa Cells.

Mol Pharm. 2016 Feb; 13(2):369-78.


3) Onuki Y, Kida C, Funatani C, Hayashi Y, Takayama K.

MRI as a promising tool for evaluation of the stability of cosmetic emulsions

Int J Cosmet Sci. 2016 Jun; 38(3):272-8.


4) Yamamoto Y, Kumetani M, Onuki Y, Koide T, Suzuki T, Fukami T.

Analysis of the Stability of External-Application Dermatologic Preparations: Consideration from Rheological Measurements.

Chem Pharm Bull (Tokyo). 2016 Jul; 64(7):1047-55.


5) Okada N, Hayashi Y, Onuki Y, Miura T, Obata Y, Takayama K.

Mechanical Stress Simulation of Scored Tablets Based on the Finite Element Method and Experimental Verification.

Chem Pharm Bull (Tokyo). 2016 Aug; 64(8):1142-8.


6) Onuki Y, Yokokawa M, Utsumi S, Obata Y, Machida Y, Seike C, Hayashi Y, Takayama K.

Effect of Surfactants and Thickeners on the Stability of Menthol-Diphenhydramine Cream Identified by Magnetic Resonance Imaging.

Chem Pharm Bull (Tokyo). 2016 Nov; 64(11):1616-21.




| 2015

1) Onuki Y, Hasegawa N, Kida C, Ikegami-Kawai M, Shirozu S, Obata Y, Takayama T.
Supersaturated state of diazepam injection following dilution with infusion fluid
.

J Pharm Health Car Sci. 2015 Mar; 1:9


2) Yamamoto Y, Fukami T, Koide T, Onuki Y, Suzuki T, Katori N, Tomono K.

Studies on uniformity of the active ingredients in acetaminophen suppositories re-solidified after melting under high temperature conditions.

Chem Pharm Bull. 2015 Apr;63(4):263-72.


3) Onuki Y, Funatani C, Yokawa T, Yamamoto Y, Fukami T, Koide T, Obata Y, Takayama K.

Magnetic resonance imaging of the phase separation in mixed preparations of moisturizing cream and steroid ointment after centrifugation.

Chem Pharm Bull. 2015 May;63(5):377-83.


4) Onuki Y, Machida Y, Yokawa T, Seike C, Sakurai S, Takayama K.

Magnetic resonance imaging study on the physical stability of menthol and diphenhydramine cream for the treatment of chronic kidney disease-associated pruritus.

Chem Pharm Bull. 2015 Jun;63(6):457-62.


5) Inoue Y, Iwazaki Y, Onuki Y, Funatani C, Murata I, Kanamoto I.

Examination of gelling agents to produce acetaminophen jelly.

Chem Pharm Bull. 2015 Jul;63(7):519-24.


6) Onuki Y, Hasegawa N, Horita A, Ueno N, Kida C, Hayashi Y, Obata Y, Takayama K.

Self-organizing Map Analysis for Understanding Comprehensive Relationships between Formulation Variables, State of Water, and the Physical Stability of Pharmaceutical Emulsions.

Chem Pharm Bull. 2015 Nov;63(11):901-6.


7)Otoguro S, Hayashi Y, Miura T, Uehara N, Utsumi S, Onuki Y, Obata Y, Takayama K.
Numerical Investigation of the Residual Stress Distribution of Flat-Faced and Convexly Curved Tablets Using the Finite Element Method.
Chem Pharm Bull. 2015 Nov;63(11):890-900.


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