Manufacturing of Multi-drug Formulations with Customised Dose by Solvent Impregnation of Mesoporous Silica Tablets View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-01

AUTHORS

Marek Šoltys, Sarah Akhlasová, Aleš Zadražil, Pavel Kovačík, František Štěpánek

ABSTRACT

The manufacture of personalised medicines where specific combinations of active pharmaceutical ingredients (APIs) and their dose within a tablet would be adjusted to the needs of individual patients, would require new manufacturing approaches compared to the established practice. In the case of low-dose formulations, the required precision of API content might not be achievable by traditional unit operations such as solid powder blending. The aim of the present work was to explore an alternative approach, based on the concept of pre-formulated placebo tablets containing mesoporous silica particles capable of absorbing APIs in the form of solutions, which can be precisely dosed at arbitrarily low quantities. The precision of the liquid dosing system has been validated; it was shown that the mechanical properties of the tablets were satisfactory even after multiple impregnation-drying cycles and that pharmacopoeia specifications on content uniformity could be met. Using model APIs, the spatial distribution of the API within the tablet after impregnation was investigated and shown to depend on the number and order of the impregnation-drying cycles. It was found that when an API was loaded to the tablet in a single step, a different dissolution profile was obtained compared to the same quantity dosed in multiple smaller steps. Overall, the approach of loading multiple API to a pre-formulated tablet at defined quantities using drop-on-demand liquid dosing was found to be feasible from the dose uniformity point of view. Further research should focus on potential API interactions and storage stability of tablets manufactured in this way. More... »

PAGES

25

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1208/s12249-018-1224-8

DOI

http://dx.doi.org/10.1208/s12249-018-1224-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111065030

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30604137


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0904", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Desiccation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Dose-Response Relationship, Drug", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drug Compounding", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ibuprofen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Porosity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Powders", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Silicon Dioxide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Solvents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tablets", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Sanofi (Czechia)", 
          "id": "https://www.grid.ac/institutes/grid.486745.c", 
          "name": [
            "Department of Chemical Engineering, University of Chemistry and Technology, Technick\u00e1 5, 166 28, Prague 6, Czech Republic", 
            "Zentiva, k.s, U Kabelovny 130, 102 00, Prague 10, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "\u0160oltys", 
        "givenName": "Marek", 
        "id": "sg:person.014705124745.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014705124745.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Chemistry and Technology", 
          "id": "https://www.grid.ac/institutes/grid.448072.d", 
          "name": [
            "Department of Chemical Engineering, University of Chemistry and Technology, Technick\u00e1 5, 166 28, Prague 6, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Akhlasov\u00e1", 
        "givenName": "Sarah", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Chemistry and Technology", 
          "id": "https://www.grid.ac/institutes/grid.448072.d", 
          "name": [
            "Department of Chemical Engineering, University of Chemistry and Technology, Technick\u00e1 5, 166 28, Prague 6, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zadra\u017eil", 
        "givenName": "Ale\u0161", 
        "id": "sg:person.0745173574.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745173574.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sanofi (Czechia)", 
          "id": "https://www.grid.ac/institutes/grid.486745.c", 
          "name": [
            "Zentiva, k.s, U Kabelovny 130, 102 00, Prague 10, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kova\u010d\u00edk", 
        "givenName": "Pavel", 
        "id": "sg:person.016300065745.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016300065745.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Chemistry and Technology", 
          "id": "https://www.grid.ac/institutes/grid.448072.d", 
          "name": [
            "Department of Chemical Engineering, University of Chemistry and Technology, Technick\u00e1 5, 166 28, Prague 6, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "\u0160t\u011bp\u00e1nek", 
        "givenName": "Franti\u0161ek", 
        "id": "sg:person.01107126207.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01107126207.94"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.micromeso.2009.06.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001066076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.autrev.2016.06.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002797655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jps.22577", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003720466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpharm.2013.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005340065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jps.23803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012107809"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compchemeng.2011.01.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015648285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/17425247.2017.1266336", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015764591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jps.21638", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016663787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpharm.2014.12.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021358632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpharm.2011.08.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021818010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jconrel.2011.07.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025091161"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0140-6736(91)90958-r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025420274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0140-6736(91)90958-r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025420274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcis.2006.01.074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032269973"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1517/17425247.2016.1100165", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037607992"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jps.24367", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037624291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11095-016-1931-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039100701", 
          "https://doi.org/10.1007/s11095-016-1931-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jps.22526", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039254804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpharm.2017.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084082231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpharm.2017.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084082231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpharm.2017.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084082231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2017.11.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092536382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.xphs.2017.11.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092729876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejps.2018.01.036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100624228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cherd.2018.05.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103884844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejpb.2018.07.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105638912"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpharm.2018.10.075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107990140"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-01", 
    "datePublishedReg": "2019-01-01", 
    "description": "The manufacture of personalised medicines where specific combinations of active pharmaceutical ingredients (APIs) and their dose within a tablet would be adjusted to the needs of individual patients, would require new manufacturing approaches compared to the established practice. In the case of low-dose formulations, the required precision of API content might not be achievable by traditional unit operations such as solid powder blending. The aim of the present work was to explore an alternative approach, based on the concept of pre-formulated placebo tablets containing mesoporous silica particles capable of absorbing APIs in the form of solutions, which can be precisely dosed at arbitrarily low quantities. The precision of the liquid dosing system has been validated; it was shown that the mechanical properties of the tablets were satisfactory even after multiple impregnation-drying cycles and that pharmacopoeia specifications on content uniformity could be met. Using model APIs, the spatial distribution of the API within the tablet after impregnation was investigated and shown to depend on the number and order of the impregnation-drying cycles. It was found that when an API was loaded to the tablet in a single step, a different dissolution profile was obtained compared to the same quantity dosed in multiple smaller steps. Overall, the approach of loading multiple API to a pre-formulated tablet at defined quantities using drop-on-demand liquid dosing was found to be feasible from the dose uniformity point of view. Further research should focus on potential API interactions and storage stability of tablets manufactured in this way.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1208/s12249-018-1224-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6879706", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1023420", 
        "issn": [
          "1530-9932"
        ], 
        "name": "AAPS PharmSciTech", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "20"
      }
    ], 
    "name": "Manufacturing of Multi-drug Formulations with Customised Dose by Solvent Impregnation of Mesoporous Silica Tablets", 
    "pagination": "25", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ea73c3278aca564af1eb7abbcccd373f7334d5ccdeff3d5e15b21a4e540a6e0f"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30604137"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100960111"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1208/s12249-018-1224-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111065030"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1208/s12249-018-1224-8", 
      "https://app.dimensions.ai/details/publication/pub.1111065030"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:38", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000346_0000000346/records_99832_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1208%2Fs12249-018-1224-8"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1208/s12249-018-1224-8'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1208/s12249-018-1224-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1208/s12249-018-1224-8'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1208/s12249-018-1224-8'


 

This table displays all metadata directly associated to this object as RDF triples.

210 TRIPLES      21 PREDICATES      62 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1208/s12249-018-1224-8 schema:about N0a6b0b854c8942f99f76562577fcfee5
2 N1d293747966e46e98fa7b70cdab49fe7
3 N3268131575414bd9944700d030379e4c
4 N44f0f653ff52490ea26a14a80ede673c
5 N8726d29b61a94763b9c5f526b07b75ae
6 N946e5868c9974ea2a77ccd4a45f545b1
7 N96ae51dd18ed4ba19669d7cb2cf9a0d4
8 Ne948ec4e4f7a49bf9f9677a547145939
9 Nf87c392efd5449a79e49da62023fc118
10 anzsrc-for:09
11 anzsrc-for:0904
12 schema:author N6eb8985064e445878b06d9e45c8fe970
13 schema:citation sg:pub.10.1007/s11095-016-1931-3
14 https://doi.org/10.1002/jps.21638
15 https://doi.org/10.1002/jps.22526
16 https://doi.org/10.1002/jps.22577
17 https://doi.org/10.1002/jps.23803
18 https://doi.org/10.1002/jps.24367
19 https://doi.org/10.1016/0140-6736(91)90958-r
20 https://doi.org/10.1016/j.autrev.2016.06.005
21 https://doi.org/10.1016/j.cej.2017.11.026
22 https://doi.org/10.1016/j.cherd.2018.05.001
23 https://doi.org/10.1016/j.compchemeng.2011.01.039
24 https://doi.org/10.1016/j.ejpb.2018.07.013
25 https://doi.org/10.1016/j.ejps.2018.01.036
26 https://doi.org/10.1016/j.ijpharm.2011.08.033
27 https://doi.org/10.1016/j.ijpharm.2013.06.003
28 https://doi.org/10.1016/j.ijpharm.2014.12.006
29 https://doi.org/10.1016/j.ijpharm.2017.04.003
30 https://doi.org/10.1016/j.ijpharm.2018.10.075
31 https://doi.org/10.1016/j.jcis.2006.01.074
32 https://doi.org/10.1016/j.jconrel.2011.07.033
33 https://doi.org/10.1016/j.micromeso.2009.06.028
34 https://doi.org/10.1016/j.xphs.2017.11.007
35 https://doi.org/10.1080/17425247.2017.1266336
36 https://doi.org/10.1517/17425247.2016.1100165
37 schema:datePublished 2019-01
38 schema:datePublishedReg 2019-01-01
39 schema:description The manufacture of personalised medicines where specific combinations of active pharmaceutical ingredients (APIs) and their dose within a tablet would be adjusted to the needs of individual patients, would require new manufacturing approaches compared to the established practice. In the case of low-dose formulations, the required precision of API content might not be achievable by traditional unit operations such as solid powder blending. The aim of the present work was to explore an alternative approach, based on the concept of pre-formulated placebo tablets containing mesoporous silica particles capable of absorbing APIs in the form of solutions, which can be precisely dosed at arbitrarily low quantities. The precision of the liquid dosing system has been validated; it was shown that the mechanical properties of the tablets were satisfactory even after multiple impregnation-drying cycles and that pharmacopoeia specifications on content uniformity could be met. Using model APIs, the spatial distribution of the API within the tablet after impregnation was investigated and shown to depend on the number and order of the impregnation-drying cycles. It was found that when an API was loaded to the tablet in a single step, a different dissolution profile was obtained compared to the same quantity dosed in multiple smaller steps. Overall, the approach of loading multiple API to a pre-formulated tablet at defined quantities using drop-on-demand liquid dosing was found to be feasible from the dose uniformity point of view. Further research should focus on potential API interactions and storage stability of tablets manufactured in this way.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree false
43 schema:isPartOf N77cb416c2ee5484ea803a44706025966
44 N9ca120f0e44149a2bdcef247ff092bdf
45 sg:journal.1023420
46 schema:name Manufacturing of Multi-drug Formulations with Customised Dose by Solvent Impregnation of Mesoporous Silica Tablets
47 schema:pagination 25
48 schema:productId N19e25b3a110644e69e45a4513ea35a66
49 N5412725fa7d24a6483e81f1640279526
50 N72a8584a4a1d48938cfc01bb2d8d3ae5
51 N783d1d15645e45db9c8d0ad8be0fd381
52 Ne9ea968c151f4b63a53bd5a7cc94a3e1
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111065030
54 https://doi.org/10.1208/s12249-018-1224-8
55 schema:sdDatePublished 2019-04-11T09:38
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher N932bde92315343f5b77929e8a1dbf2e3
58 schema:url https://link.springer.com/10.1208%2Fs12249-018-1224-8
59 sgo:license sg:explorer/license/
60 sgo:sdDataset articles
61 rdf:type schema:ScholarlyArticle
62 N0a6b0b854c8942f99f76562577fcfee5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
63 schema:name Solvents
64 rdf:type schema:DefinedTerm
65 N1773577b08ef4191bf8412f2ecff6f0b rdf:first sg:person.01107126207.94
66 rdf:rest rdf:nil
67 N19e25b3a110644e69e45a4513ea35a66 schema:name dimensions_id
68 schema:value pub.1111065030
69 rdf:type schema:PropertyValue
70 N1d293747966e46e98fa7b70cdab49fe7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Dose-Response Relationship, Drug
72 rdf:type schema:DefinedTerm
73 N1eff8cd01ffe4d499f5f8e271f78330e rdf:first sg:person.0745173574.58
74 rdf:rest Nb4adcc336a5547959bb2bc0626cd4024
75 N3268131575414bd9944700d030379e4c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Porosity
77 rdf:type schema:DefinedTerm
78 N44f0f653ff52490ea26a14a80ede673c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Ibuprofen
80 rdf:type schema:DefinedTerm
81 N53bf667169694db88cd12caa78bdf355 schema:affiliation https://www.grid.ac/institutes/grid.448072.d
82 schema:familyName Akhlasová
83 schema:givenName Sarah
84 rdf:type schema:Person
85 N5412725fa7d24a6483e81f1640279526 schema:name nlm_unique_id
86 schema:value 100960111
87 rdf:type schema:PropertyValue
88 N6eb8985064e445878b06d9e45c8fe970 rdf:first sg:person.014705124745.74
89 rdf:rest N9db1944bd7434a53942a7ce415902f96
90 N72a8584a4a1d48938cfc01bb2d8d3ae5 schema:name readcube_id
91 schema:value ea73c3278aca564af1eb7abbcccd373f7334d5ccdeff3d5e15b21a4e540a6e0f
92 rdf:type schema:PropertyValue
93 N77cb416c2ee5484ea803a44706025966 schema:volumeNumber 20
94 rdf:type schema:PublicationVolume
95 N783d1d15645e45db9c8d0ad8be0fd381 schema:name doi
96 schema:value 10.1208/s12249-018-1224-8
97 rdf:type schema:PropertyValue
98 N8726d29b61a94763b9c5f526b07b75ae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Silicon Dioxide
100 rdf:type schema:DefinedTerm
101 N932bde92315343f5b77929e8a1dbf2e3 schema:name Springer Nature - SN SciGraph project
102 rdf:type schema:Organization
103 N946e5868c9974ea2a77ccd4a45f545b1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Drug Compounding
105 rdf:type schema:DefinedTerm
106 N96ae51dd18ed4ba19669d7cb2cf9a0d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Tablets
108 rdf:type schema:DefinedTerm
109 N9ca120f0e44149a2bdcef247ff092bdf schema:issueNumber 1
110 rdf:type schema:PublicationIssue
111 N9db1944bd7434a53942a7ce415902f96 rdf:first N53bf667169694db88cd12caa78bdf355
112 rdf:rest N1eff8cd01ffe4d499f5f8e271f78330e
113 Nb4adcc336a5547959bb2bc0626cd4024 rdf:first sg:person.016300065745.30
114 rdf:rest N1773577b08ef4191bf8412f2ecff6f0b
115 Ne948ec4e4f7a49bf9f9677a547145939 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Desiccation
117 rdf:type schema:DefinedTerm
118 Ne9ea968c151f4b63a53bd5a7cc94a3e1 schema:name pubmed_id
119 schema:value 30604137
120 rdf:type schema:PropertyValue
121 Nf87c392efd5449a79e49da62023fc118 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Powders
123 rdf:type schema:DefinedTerm
124 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
125 schema:name Engineering
126 rdf:type schema:DefinedTerm
127 anzsrc-for:0904 schema:inDefinedTermSet anzsrc-for:
128 schema:name Chemical Engineering
129 rdf:type schema:DefinedTerm
130 sg:grant.6879706 http://pending.schema.org/fundedItem sg:pub.10.1208/s12249-018-1224-8
131 rdf:type schema:MonetaryGrant
132 sg:journal.1023420 schema:issn 1530-9932
133 schema:name AAPS PharmSciTech
134 rdf:type schema:Periodical
135 sg:person.01107126207.94 schema:affiliation https://www.grid.ac/institutes/grid.448072.d
136 schema:familyName Štěpánek
137 schema:givenName František
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01107126207.94
139 rdf:type schema:Person
140 sg:person.014705124745.74 schema:affiliation https://www.grid.ac/institutes/grid.486745.c
141 schema:familyName Šoltys
142 schema:givenName Marek
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014705124745.74
144 rdf:type schema:Person
145 sg:person.016300065745.30 schema:affiliation https://www.grid.ac/institutes/grid.486745.c
146 schema:familyName Kovačík
147 schema:givenName Pavel
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016300065745.30
149 rdf:type schema:Person
150 sg:person.0745173574.58 schema:affiliation https://www.grid.ac/institutes/grid.448072.d
151 schema:familyName Zadražil
152 schema:givenName Aleš
153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745173574.58
154 rdf:type schema:Person
155 sg:pub.10.1007/s11095-016-1931-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039100701
156 https://doi.org/10.1007/s11095-016-1931-3
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1002/jps.21638 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016663787
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1002/jps.22526 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039254804
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1002/jps.22577 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003720466
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1002/jps.23803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012107809
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1002/jps.24367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037624291
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/0140-6736(91)90958-r schema:sameAs https://app.dimensions.ai/details/publication/pub.1025420274
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.autrev.2016.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002797655
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.cej.2017.11.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092536382
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.cherd.2018.05.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103884844
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.compchemeng.2011.01.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015648285
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.ejpb.2018.07.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105638912
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.ejps.2018.01.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100624228
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.ijpharm.2011.08.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021818010
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.ijpharm.2013.06.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005340065
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.ijpharm.2014.12.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021358632
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.ijpharm.2017.04.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084082231
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/j.ijpharm.2018.10.075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107990140
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/j.jcis.2006.01.074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032269973
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/j.jconrel.2011.07.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025091161
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/j.micromeso.2009.06.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001066076
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/j.xphs.2017.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092729876
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1080/17425247.2017.1266336 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015764591
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1517/17425247.2016.1100165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037607992
203 rdf:type schema:CreativeWork
204 https://www.grid.ac/institutes/grid.448072.d schema:alternateName University of Chemistry and Technology
205 schema:name Department of Chemical Engineering, University of Chemistry and Technology, Technická 5, 166 28, Prague 6, Czech Republic
206 rdf:type schema:Organization
207 https://www.grid.ac/institutes/grid.486745.c schema:alternateName Sanofi (Czechia)
208 schema:name Department of Chemical Engineering, University of Chemistry and Technology, Technická 5, 166 28, Prague 6, Czech Republic
209 Zentiva, k.s, U Kabelovny 130, 102 00, Prague 10, Czech Republic
210 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...