Application of FT-NIR Analysis for In-line and Real-Time Monitoring of Pharmaceutical Hot Melt Extrusion: a Technical Note View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-11

AUTHORS

Anh Q. Vo, Herman He, Jiaxiang Zhang, Scott Martin, Rui Chen, Michael A. Repka

ABSTRACT

Continuous manufacturing, a gaining interest paradigm in the pharmaceutical industry, requires in-process monitoring of critical process parameters to ensure product consistency. This study demonstrated the application of Fourier transform near-infrared (FT-NIR) spectroscopy in conjunction with chemometrics modeling for in-line hot melt extrusion process monitoring. The obtained results suggested that inline FT-NIR analysis, along with a tailored NIR reflector, is a viable process analytical tool to monitor active pharmaceutical ingredient concentration as well as processing parameters. More... »

PAGES

1-5

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1208/s12249-018-1091-3

DOI

http://dx.doi.org/10.1208/s12249-018-1091-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104562111

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29948985


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Mississippi", 
          "id": "https://www.grid.ac/institutes/grid.251313.7", 
          "name": [
            "Department of Pharmaceutics and Drug Delivery, University of Mississippi, 38677, University, Mississippi, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vo", 
        "givenName": "Anh Q.", 
        "id": "sg:person.01124075015.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01124075015.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Thermo Fisher Scientific (United States)", 
          "id": "https://www.grid.ac/institutes/grid.418190.5", 
          "name": [
            "Thermo Fisher Scientific, Waltham, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "He", 
        "givenName": "Herman", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Mississippi", 
          "id": "https://www.grid.ac/institutes/grid.251313.7", 
          "name": [
            "Department of Pharmaceutics and Drug Delivery, University of Mississippi, 38677, University, Mississippi, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Jiaxiang", 
        "id": "sg:person.012345654775.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012345654775.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Thermo Fisher Scientific (United States)", 
          "id": "https://www.grid.ac/institutes/grid.418190.5", 
          "name": [
            "Thermo Fisher Scientific, Waltham, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Martin", 
        "givenName": "Scott", 
        "id": "sg:person.013117261135.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013117261135.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Thermo Fisher Scientific (United States)", 
          "id": "https://www.grid.ac/institutes/grid.418190.5", 
          "name": [
            "Thermo Fisher Scientific, Waltham, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Rui", 
        "id": "sg:person.013151170636.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013151170636.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Mississippi", 
          "id": "https://www.grid.ac/institutes/grid.251313.7", 
          "name": [
            "Department of Pharmaceutics and Drug Delivery, University of Mississippi, 38677, University, Mississippi, USA", 
            "Pii Center for Pharmaceutical Technology, School of Pharmacy, University of Mississippi, 38677, University, Mississippi, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Repka", 
        "givenName": "Michael A.", 
        "id": "sg:person.0632436206.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632436206.29"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1208/s12249-013-9992-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009616081", 
          "https://doi.org/10.1208/s12249-013-9992-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/wics.101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012628338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-2670(86)80028-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017752143"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.trac.2009.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026192623"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1208/s12249-011-9669-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034312294", 
          "https://doi.org/10.1208/s12249-011-9669-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie2006752", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055603869"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie2006752", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055603869"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpharm.2017.10.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092502360"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-11", 
    "datePublishedReg": "2018-11-01", 
    "description": "Continuous manufacturing, a gaining interest paradigm in the pharmaceutical industry, requires in-process monitoring of critical process parameters to ensure product consistency. This study demonstrated the application of Fourier transform near-infrared (FT-NIR) spectroscopy in conjunction with chemometrics modeling for in-line hot melt extrusion process monitoring. The obtained results suggested that inline FT-NIR analysis, along with a tailored NIR reflector, is a viable process analytical tool to monitor active pharmaceutical ingredient concentration as well as processing parameters.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1208/s12249-018-1091-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2437959", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1023420", 
        "issn": [
          "1530-9932"
        ], 
        "name": "AAPS PharmSciTech", 
        "type": "Periodical"
      }
    ], 
    "name": "Application of FT-NIR Analysis for In-line and Real-Time Monitoring of Pharmaceutical Hot Melt Extrusion: a Technical Note", 
    "pagination": "1-5", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "bd73ddeb15d5c6a20a1648c08af11455e2447a3748c1182cbce89e443e37c97f"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29948985"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100960111"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1208/s12249-018-1091-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1104562111"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1208/s12249-018-1091-3", 
      "https://app.dimensions.ai/details/publication/pub.1104562111"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:34", 
    "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/v90/0000000001_0000000264/records_8693_00000572.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1208%2Fs12249-018-1091-3"
  }
]
 

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/s12249-018-1091-3'

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/s12249-018-1091-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1208/s12249-018-1091-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1208/s12249-018-1091-3'


 

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

125 TRIPLES      21 PREDICATES      34 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1208/s12249-018-1091-3 schema:about anzsrc-for:09
2 anzsrc-for:0904
3 schema:author Nf1bdc17c1bbc44b6a974e49246e4fa15
4 schema:citation sg:pub.10.1208/s12249-011-9669-z
5 sg:pub.10.1208/s12249-013-9992-7
6 https://doi.org/10.1002/wics.101
7 https://doi.org/10.1016/0003-2670(86)80028-9
8 https://doi.org/10.1016/j.ijpharm.2017.10.056
9 https://doi.org/10.1016/j.trac.2009.07.007
10 https://doi.org/10.1021/ie2006752
11 schema:datePublished 2018-11
12 schema:datePublishedReg 2018-11-01
13 schema:description Continuous manufacturing, a gaining interest paradigm in the pharmaceutical industry, requires in-process monitoring of critical process parameters to ensure product consistency. This study demonstrated the application of Fourier transform near-infrared (FT-NIR) spectroscopy in conjunction with chemometrics modeling for in-line hot melt extrusion process monitoring. The obtained results suggested that inline FT-NIR analysis, along with a tailored NIR reflector, is a viable process analytical tool to monitor active pharmaceutical ingredient concentration as well as processing parameters.
14 schema:genre research_article
15 schema:inLanguage en
16 schema:isAccessibleForFree false
17 schema:isPartOf sg:journal.1023420
18 schema:name Application of FT-NIR Analysis for In-line and Real-Time Monitoring of Pharmaceutical Hot Melt Extrusion: a Technical Note
19 schema:pagination 1-5
20 schema:productId N02799c268ef6487c90b6df181fe2db5d
21 N0910ec5f7a364c30a33d6bba46c61101
22 N0c08475129f047e089910e2ad07deb0c
23 N6ef2992d01e74f2aacbd7ee2855302a1
24 Nd69ec7229a29485e9639699c224e0c2e
25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104562111
26 https://doi.org/10.1208/s12249-018-1091-3
27 schema:sdDatePublished 2019-04-10T23:34
28 schema:sdLicense https://scigraph.springernature.com/explorer/license/
29 schema:sdPublisher Nfb4c0dacebb34f15951e653eaf372cdf
30 schema:url https://link.springer.com/10.1208%2Fs12249-018-1091-3
31 sgo:license sg:explorer/license/
32 sgo:sdDataset articles
33 rdf:type schema:ScholarlyArticle
34 N02799c268ef6487c90b6df181fe2db5d schema:name dimensions_id
35 schema:value pub.1104562111
36 rdf:type schema:PropertyValue
37 N0910ec5f7a364c30a33d6bba46c61101 schema:name readcube_id
38 schema:value bd73ddeb15d5c6a20a1648c08af11455e2447a3748c1182cbce89e443e37c97f
39 rdf:type schema:PropertyValue
40 N0c08475129f047e089910e2ad07deb0c schema:name nlm_unique_id
41 schema:value 100960111
42 rdf:type schema:PropertyValue
43 N0c7757a3f39542f49ab9f54deb2463b9 rdf:first sg:person.013151170636.90
44 rdf:rest N296d2387259c4c0c962cf7481d125ba7
45 N296d2387259c4c0c962cf7481d125ba7 rdf:first sg:person.0632436206.29
46 rdf:rest rdf:nil
47 N6ef2992d01e74f2aacbd7ee2855302a1 schema:name doi
48 schema:value 10.1208/s12249-018-1091-3
49 rdf:type schema:PropertyValue
50 N80025e414c9a4238ab30af9b017b0e25 rdf:first Nc287af5dea9a4dbb9a5906e702b195c2
51 rdf:rest N98b5340f8ae04b94b4c335e5a7f5fb5a
52 N98b5340f8ae04b94b4c335e5a7f5fb5a rdf:first sg:person.012345654775.21
53 rdf:rest Nc123c7526b754d8f8dbc94aab8b5eb5a
54 Nc123c7526b754d8f8dbc94aab8b5eb5a rdf:first sg:person.013117261135.67
55 rdf:rest N0c7757a3f39542f49ab9f54deb2463b9
56 Nc287af5dea9a4dbb9a5906e702b195c2 schema:affiliation https://www.grid.ac/institutes/grid.418190.5
57 schema:familyName He
58 schema:givenName Herman
59 rdf:type schema:Person
60 Nd69ec7229a29485e9639699c224e0c2e schema:name pubmed_id
61 schema:value 29948985
62 rdf:type schema:PropertyValue
63 Nf1bdc17c1bbc44b6a974e49246e4fa15 rdf:first sg:person.01124075015.02
64 rdf:rest N80025e414c9a4238ab30af9b017b0e25
65 Nfb4c0dacebb34f15951e653eaf372cdf schema:name Springer Nature - SN SciGraph project
66 rdf:type schema:Organization
67 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
68 schema:name Engineering
69 rdf:type schema:DefinedTerm
70 anzsrc-for:0904 schema:inDefinedTermSet anzsrc-for:
71 schema:name Chemical Engineering
72 rdf:type schema:DefinedTerm
73 sg:grant.2437959 http://pending.schema.org/fundedItem sg:pub.10.1208/s12249-018-1091-3
74 rdf:type schema:MonetaryGrant
75 sg:journal.1023420 schema:issn 1530-9932
76 schema:name AAPS PharmSciTech
77 rdf:type schema:Periodical
78 sg:person.01124075015.02 schema:affiliation https://www.grid.ac/institutes/grid.251313.7
79 schema:familyName Vo
80 schema:givenName Anh Q.
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01124075015.02
82 rdf:type schema:Person
83 sg:person.012345654775.21 schema:affiliation https://www.grid.ac/institutes/grid.251313.7
84 schema:familyName Zhang
85 schema:givenName Jiaxiang
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012345654775.21
87 rdf:type schema:Person
88 sg:person.013117261135.67 schema:affiliation https://www.grid.ac/institutes/grid.418190.5
89 schema:familyName Martin
90 schema:givenName Scott
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013117261135.67
92 rdf:type schema:Person
93 sg:person.013151170636.90 schema:affiliation https://www.grid.ac/institutes/grid.418190.5
94 schema:familyName Chen
95 schema:givenName Rui
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013151170636.90
97 rdf:type schema:Person
98 sg:person.0632436206.29 schema:affiliation https://www.grid.ac/institutes/grid.251313.7
99 schema:familyName Repka
100 schema:givenName Michael A.
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632436206.29
102 rdf:type schema:Person
103 sg:pub.10.1208/s12249-011-9669-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1034312294
104 https://doi.org/10.1208/s12249-011-9669-z
105 rdf:type schema:CreativeWork
106 sg:pub.10.1208/s12249-013-9992-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009616081
107 https://doi.org/10.1208/s12249-013-9992-7
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1002/wics.101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012628338
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/0003-2670(86)80028-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017752143
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/j.ijpharm.2017.10.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092502360
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/j.trac.2009.07.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026192623
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1021/ie2006752 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055603869
118 rdf:type schema:CreativeWork
119 https://www.grid.ac/institutes/grid.251313.7 schema:alternateName University of Mississippi
120 schema:name Department of Pharmaceutics and Drug Delivery, University of Mississippi, 38677, University, Mississippi, USA
121 Pii Center for Pharmaceutical Technology, School of Pharmacy, University of Mississippi, 38677, University, Mississippi, USA
122 rdf:type schema:Organization
123 https://www.grid.ac/institutes/grid.418190.5 schema:alternateName Thermo Fisher Scientific (United States)
124 schema:name Thermo Fisher Scientific, Waltham, Massachusetts, USA
125 rdf:type schema:Organization
 




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


...