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  1. Article ; Online: Foreword.

    Onuki, Yoshinori

    Chemical & pharmaceutical bulletin

    2023  Volume 71, Issue 6, Page(s) 385

    Language English
    Publishing date 2023-06-05
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 213307-6
    ISSN 1347-5223 ; 0009-2363
    ISSN (online) 1347-5223
    ISSN 0009-2363
    DOI 10.1248/cpb.c23-ctf7106
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Use of Time-Domain NMR for

    Okada, Kotaro / Ono, Takashi / Hayashi, Yoshihiro / Kumada, Shungo / Onuki, Yoshinori

    Journal of pharmaceutical sciences

    2023  Volume 113, Issue 3, Page(s) 680–687

    Abstract: This study examined the usefulness ... ...

    Abstract This study examined the usefulness of
    MeSH term(s) Magnetic Resonance Spectroscopy/methods ; Magnetic Resonance Imaging ; Indomethacin/chemistry ; Povidone/chemistry ; Solvents ; Solubility
    Chemical Substances Indomethacin (XXE1CET956) ; Povidone (FZ989GH94E) ; Solvents
    Language English
    Publishing date 2023-09-01
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 3151-3
    ISSN 1520-6017 ; 0022-3549
    ISSN (online) 1520-6017
    ISSN 0022-3549
    DOI 10.1016/j.xphs.2023.08.021
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: TGA and NMR relaxation measurement of nonmesoporous silica to investigate the amount of hydrolysis product in acetylsalicylic acid adsorbed on silica.

    Okada, Kotaro / Watanabe, Daichi / Ono, Takashi / Hayashi, Yoshihiro / Kumada, Shungo / Onuki, Yoshinori

    Journal of pharmaceutical and biomedical analysis

    2024  Volume 241, Page(s) 115972

    Abstract: This study investigated a crucial surface property of silica that contributes to the chemical stability of acetylsalicylic acid (ASA) physically adsorbed on silica. Hydrophilic nonmesoporous types of silica were selected, and the number of hydroxyl ... ...

    Abstract This study investigated a crucial surface property of silica that contributes to the chemical stability of acetylsalicylic acid (ASA) physically adsorbed on silica. Hydrophilic nonmesoporous types of silica were selected, and the number of hydroxyl groups on silica (N
    MeSH term(s) Aspirin ; Hydrolysis ; Silicon Dioxide/chemistry ; Salicylic Acid ; Magnetic Resonance Spectroscopy ; Water
    Chemical Substances Aspirin (R16CO5Y76E) ; Silicon Dioxide (7631-86-9) ; Salicylic Acid (O414PZ4LPZ) ; Water (059QF0KO0R)
    Language English
    Publishing date 2024-01-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 604917-5
    ISSN 1873-264X ; 0731-7085
    ISSN (online) 1873-264X
    ISSN 0731-7085
    DOI 10.1016/j.jpba.2024.115972
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  4. Article ; Online: Quality Evaluation of Humidified Magnesium Oxide Tablet Formulations with Respect to Disintegration Time Prolongation.

    Yamamoto, Yoshihisa / Ohgi, Kosuke / Onuki, Yoshinori / Fukami, Toshiro / Koide, Tatsuo

    Chemical & pharmaceutical bulletin

    2023  Volume 71, Issue 2, Page(s) 165–174

    Abstract: In the present study, we conducted a detailed evaluation of the effects of humidification on the quality of five types of commercial magnesium oxide (MgO) tablet formulations. When near-IR spectroscopy was performed, a peak derived from the first ... ...

    Abstract In the present study, we conducted a detailed evaluation of the effects of humidification on the quality of five types of commercial magnesium oxide (MgO) tablet formulations. When near-IR spectroscopy was performed, a peak derived from the first overtone of the stretching vibration of the hydroxyl group was observed at approximately 7200 cm
    MeSH term(s) Magnesium Oxide/chemistry ; Hardness ; Tablets/chemistry ; Solubility
    Chemical Substances Magnesium Oxide (3A3U0GI71G) ; Tablets
    Language English
    Publishing date 2023-02-01
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 213307-6
    ISSN 1347-5223 ; 0009-2363
    ISSN (online) 1347-5223
    ISSN 0009-2363
    DOI 10.1248/cpb.c22-00798
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Determination of the Solid Content of Active Pharmaceutical Ingredient Powders in Suspension-Type Pharmaceutical Oral Jelly Using Time-Domain NMR.

    Kobayashi, Ryosuke / Ono, Takashi / Kumada, Shungo / Okada, Kotaro / Onuki, Yoshinori

    Chemical & pharmaceutical bulletin

    2023  Volume 71, Issue 11, Page(s) 838–842

    Abstract: This study determined the content of solid active pharmaceutical ingredient (API) powders dispersed in suspension-type pharmaceutical oral jellies using a low-field time-domain NMR (TD-NMR). The suspended jellies containing a designated API content were ... ...

    Abstract This study determined the content of solid active pharmaceutical ingredient (API) powders dispersed in suspension-type pharmaceutical oral jellies using a low-field time-domain NMR (TD-NMR). The suspended jellies containing a designated API content were prepared and tested. Acetaminophen (APAP), indomethacin (IMC) and L-valine were used as test APIs. First, this study measured the T
    MeSH term(s) Powders ; Magnetic Resonance Spectroscopy/methods ; Magnetic Resonance Imaging/methods ; Indomethacin/chemistry ; Valine
    Chemical Substances Powders ; Indomethacin (XXE1CET956) ; Valine (HG18B9YRS7)
    Language English
    Publishing date 2023-11-01
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 213307-6
    ISSN 1347-5223 ; 0009-2363
    ISSN (online) 1347-5223
    ISSN 0009-2363
    DOI 10.1248/cpb.c23-00470
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Low-Field NMR to Characterize the Crystalline State of Ibuprofen Confined in Ordered or Nonordered Mesoporous Silica.

    Okada, Kotaro / Hayashi, Yoshihiro / Tsuji, Takahiro / Onuki, Yoshinori

    Chemical & pharmaceutical bulletin

    2022  Volume 70, Issue 8, Page(s) 550–557

    Abstract: The crystalline state of ibuprofen (IBU) confined in mesoporous silica was characterized using low-field time-domain nuclear magnetic resonance (TD-NMR). IBU was loaded into ordered (Santa Barbara Amorphous-15 [SBA-15]; SBA) or nonordered mesoporous ... ...

    Abstract The crystalline state of ibuprofen (IBU) confined in mesoporous silica was characterized using low-field time-domain nuclear magnetic resonance (TD-NMR). IBU was loaded into ordered (Santa Barbara Amorphous-15 [SBA-15]; SBA) or nonordered mesoporous silica (Sylysia 320; SYL) using a well-known incipient wetness impregnation method. The dissolution profile of IBU from the silica was measured. The IBU-loaded SBA showed a relatively higher drug concentration at 10 and 20 min, which was typical of a supersaturated solution. However, it did not maintain that concentration. By contrast, the IBU-loaded SYL did not show such a dissolution profile in the early stage. To characterize the crystalline state of IBU confined in silica, the T
    MeSH term(s) Ibuprofen/chemistry ; Magnetic Resonance Spectroscopy ; Porosity ; Powders ; Silicon Dioxide/chemistry
    Chemical Substances Powders ; Silicon Dioxide (7631-86-9) ; Ibuprofen (WK2XYI10QM)
    Language English
    Publishing date 2022-07-28
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 213307-6
    ISSN 1347-5223 ; 0009-2363
    ISSN (online) 1347-5223
    ISSN 0009-2363
    DOI 10.1248/cpb.c22-00180
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Continuous Monitoring of the Agglomeration and Sedimentation of Indomethacin Nanosuspensions Using T

    Ono, Takashi / Okada, Kotaro / Tsuchiya, Megumi / Hayashi, Yoshihiro / Kumada, Shungo / Onuki, Yoshinori

    Chemical & pharmaceutical bulletin

    2023  Volume 71, Issue 8, Page(s) 665–669

    Abstract: The time-domain NMR technique was utilized to monitor precisely the physicochemical stability of indomethacin (IMC) nanosuspensions using ... ...

    Abstract The time-domain NMR technique was utilized to monitor precisely the physicochemical stability of indomethacin (IMC) nanosuspensions using T
    MeSH term(s) Indomethacin/chemistry ; Particle Size ; Magnetic Resonance Spectroscopy ; Magnetic Resonance Imaging ; Nanoparticles/chemistry ; Suspensions ; Solubility
    Chemical Substances Indomethacin (XXE1CET956) ; Suspensions
    Language English
    Publishing date 2023-08-02
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 213307-6
    ISSN 1347-5223 ; 0009-2363
    ISSN (online) 1347-5223
    ISSN 0009-2363
    DOI 10.1248/cpb.c23-00207
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Usefulness of Applying Partial Least Squares Regression to T

    Chiba, Yuya / Okada, Kotaro / Hayashi, Yoshihiro / Kumada, Shungo / Onuki, Yoshinori

    Journal of pharmaceutical sciences

    2022  Volume 112, Issue 4, Page(s) 1041–1051

    Abstract: This study applied partial least squares (PLS) regression to nuclear magnetic resonance (NMR) relaxation curves to quantify the free base of an active pharmaceutical ingredient powder. We measured the ... ...

    Abstract This study applied partial least squares (PLS) regression to nuclear magnetic resonance (NMR) relaxation curves to quantify the free base of an active pharmaceutical ingredient powder. We measured the T
    MeSH term(s) Least-Squares Analysis ; Magnetic Resonance Spectroscopy ; Magnetic Resonance Imaging ; Powders ; Calibration
    Chemical Substances Powders
    Language English
    Publishing date 2022-12-01
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 3151-3
    ISSN 1520-6017 ; 0022-3549
    ISSN (online) 1520-6017
    ISSN 0022-3549
    DOI 10.1016/j.xphs.2022.11.028
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  9. Article ; Online: Nondestructive Investigation of the Agglomeration Process for Nanosuspensions via NMR Relaxation of Water Molecules.

    Okada, Kotaro / Hayashi, Yoshihiro / Kumada, Shungo / Onuki, Yoshinori

    European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences

    2021  Volume 164, Page(s) 105908

    Abstract: This study investigated an agglomeration of nanoparticles in a suspension using nuclear magnetic resonance (NMR) relaxation. The nanosuspension was prepared by wet bead milling using indomethacin and polyvinylpyrrolidone as an active pharmaceutical ... ...

    Abstract This study investigated an agglomeration of nanoparticles in a suspension using nuclear magnetic resonance (NMR) relaxation. The nanosuspension was prepared by wet bead milling using indomethacin and polyvinylpyrrolidone as an active pharmaceutical ingredient (API) and stabilizer, respectively. Transmission profiles using a dispersion analyzer based on multilight scattering technology confirmed that agglomeration occurred at 25 °C immediately after wet bead milling. In this study, we focused on the water molecules, not nanoparticles, and obtained the T
    MeSH term(s) Indomethacin ; Magnetic Resonance Spectroscopy ; Nanoparticles ; Particle Size ; Solubility ; Suspensions ; Water
    Chemical Substances Suspensions ; Water (059QF0KO0R) ; Indomethacin (XXE1CET956)
    Language English
    Publishing date 2021-06-09
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1154366-8
    ISSN 1879-0720 ; 0928-0987
    ISSN (online) 1879-0720
    ISSN 0928-0987
    DOI 10.1016/j.ejps.2021.105908
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  10. Article ; Online: A Data-Driven Approach to Predicting Tablet Properties after Accelerated Test Using Raw Material Property Database and Machine Learning.

    Hayashi, Yoshihiro / Nakano, Yuri / Marumo, Yuki / Kumada, Shungo / Okada, Kotaro / Onuki, Yoshinori

    Chemical & pharmaceutical bulletin

    2023  Volume 71, Issue 6, Page(s) 406–415

    Abstract: The purpose of this study was to develop a model for predicting tablet properties after an accelerated test and to determine whether molecular descriptors affect tablet properties. Tablets were prepared using 81 types of active pharmaceutical ingredients, ...

    Abstract The purpose of this study was to develop a model for predicting tablet properties after an accelerated test and to determine whether molecular descriptors affect tablet properties. Tablets were prepared using 81 types of active pharmaceutical ingredients, with the same formulation and three different levels of compression pressure. The tablet properties measured were the tensile strength and disintegration time of tablets after two weeks of accelerated test. The material properties measured were the change in tablet thickness before and after the accelerated test, maximum swelling force, swelling time, and swelling rate. The acquired data were added to our previously constructed database containing a total of 20 material properties and 3381 molecular descriptors. The feature importance values of molecular descriptors, material properties and the compression pressure for each tablet property were calculated by random forest, which is one type of machine learning (ML) that uses ensemble learning and decision trees. The results showed that more than half of the top 25 most important features were molecular descriptors for both tablet properties, indicating that molecular descriptors are strongly related to tablet properties. A prediction model of tablet properties was constructed by eight ML types using 25 of the most important features. The results showed that the boosted neural network exhibited the best prediction accuracy and was able to predict tablet properties with high accuracy. A data-driven approach is useful for discovering intricate relationships hidden within complex and large data sets and predicting tablet properties after an accelerated test.
    MeSH term(s) Neural Networks, Computer ; Tablets ; Tensile Strength ; Databases, Factual ; Machine Learning
    Chemical Substances Tablets
    Language English
    Publishing date 2023-05-31
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 213307-6
    ISSN 1347-5223 ; 0009-2363
    ISSN (online) 1347-5223
    ISSN 0009-2363
    DOI 10.1248/cpb.c22-00538
    Database MEDical Literature Analysis and Retrieval System OnLINE

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