Development of a Method to Extract Opium Poppy (Papaver somniferum L.) DNA from Heroin View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Michael A. Marciano, Sini X. Panicker, Garrett D. Liddil, Danielle Lindgren, Kevin S. Sweder

ABSTRACT

This study is the first to report the successful development of a method to extract opium poppy (Papaver somniferum L.) DNA from heroin samples. Determining of the source of an unknown heroin sample (forensic geosourcing) is vital to informing domestic and foreign policy related to counter-narcoterrorism. Current profiling methods focus on identifying process-related chemical impurities found in heroin samples. Changes to the geographically distinct processing methods may lead to difficulties in classifying and attributing heroin samples to a region/country. This study focuses on methods to optimize the DNA extraction and amplification of samples with low levels of degraded DNA and inhibiting compounds such as heroin. We compared modified commercial-off-the-shelf extraction methods such as the Qiagen Plant, Stool and the Promega Maxwell-16 RNA-LEV tissue kits for the ability to extract opium poppy DNA from latex, raw and cooked opium, white and brown powder heroin and black tar heroin. Opium poppy DNA was successfully detected in all poppy-derived samples, including heroin. The modified Qiagen stool method with post-extraction purification and a two-stage, dual DNA polymerase amplification procedure resulted in the highest DNA yield and minimized inhibition. This paper describes the initial phase in establishing a DNA-based signature method to characterize heroin. More... »

PAGES

2590

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-20996-9

DOI

http://dx.doi.org/10.1038/s41598-018-20996-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1100780814

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29416103


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/2008/0301", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Analytical Chemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Syracuse University", 
          "id": "https://www.grid.ac/institutes/grid.264484.8", 
          "name": [
            "Forensic & National Security Sciences Institute, Syracuse University, 13244, Syracuse, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marciano", 
        "givenName": "Michael A.", 
        "id": "sg:person.014666064725.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014666064725.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Drug Enforcement Administration", 
          "id": "https://www.grid.ac/institutes/grid.484223.b", 
          "name": [
            "U.S. Drug Enforcement Administration, Special Testing and Research Laboratory, 20166, Dulles, VA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Panicker", 
        "givenName": "Sini X.", 
        "id": "sg:person.01115625225.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01115625225.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Syracuse University", 
          "id": "https://www.grid.ac/institutes/grid.264484.8", 
          "name": [
            "Forensic & National Security Sciences Institute, Syracuse University, 13244, Syracuse, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liddil", 
        "givenName": "Garrett D.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Syracuse University", 
          "id": "https://www.grid.ac/institutes/grid.264484.8", 
          "name": [
            "Forensic & National Security Sciences Institute, Syracuse University, 13244, Syracuse, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lindgren", 
        "givenName": "Danielle", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Syracuse University", 
          "id": "https://www.grid.ac/institutes/grid.264484.8", 
          "name": [
            "Forensic & National Security Sciences Institute, Syracuse University, 13244, Syracuse, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sweder", 
        "givenName": "Kevin S.", 
        "id": "sg:person.01135527026.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135527026.83"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/nar/gkg813", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004446423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.forsciint.2013.06.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004981670"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11032-014-0036-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006033203", 
          "https://doi.org/10.1007/s11032-014-0036-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.92.20.9264", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010329400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0379-0738(97)00196-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010847295"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0379-0738(97)00196-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010847295"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1556-4029.2009.01220.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011578204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1556-4029.2009.01220.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011578204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-2836(05)80360-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013618994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nchembio.160", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017938264", 
          "https://doi.org/10.1038/nchembio.160"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nchembio.160", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017938264", 
          "https://doi.org/10.1038/nchembio.160"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gki063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018302933"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.ecolsys.110308.120307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018587808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep08056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025800612", 
          "https://doi.org/10.1038/srep08056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1556-4029.2006.00057.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025927047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1556-4029.2006.00057.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025927047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0086827", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028056294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/agri-2015-0020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032605312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/431413a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034521229", 
          "https://doi.org/10.1038/431413a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/431413a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034521229", 
          "https://doi.org/10.1038/431413a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep30910", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034890464", 
          "https://doi.org/10.1038/srep30910"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btn322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038142398"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.forsciint.2012.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039314685"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkn1055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039378112"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1556-4029.2010.01423.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043074411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1556-4029.2010.01423.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043074411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-13-134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046135038", 
          "https://doi.org/10.1186/1471-2105-13-134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep39256", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046784224", 
          "https://doi.org/10.1038/srep39256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00299-010-0862-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047959528", 
          "https://doi.org/10.1007/s00299-010-0862-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00299-010-0862-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047959528", 
          "https://doi.org/10.1007/s00299-010-0862-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00299-010-0862-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047959528", 
          "https://doi.org/10.1007/s00299-010-0862-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0070388", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049244655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci2001.4151596x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069027382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3844/ajidsp.2009.148.153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071458969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077097480", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1520/jfs13863j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090258103"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.17221/96/2009-cjgpb", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100968904"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "This study is the first to report the successful development of a method to extract opium poppy (Papaver somniferum L.) DNA from heroin samples. Determining of the source of an unknown heroin sample (forensic geosourcing) is vital to informing domestic and foreign policy related to counter-narcoterrorism. Current profiling methods focus on identifying process-related chemical impurities found in heroin samples. Changes to the geographically distinct processing methods may lead to difficulties in classifying and attributing heroin samples to a region/country. This study focuses on methods to optimize the DNA extraction and amplification of samples with low levels of degraded DNA and inhibiting compounds such as heroin. We compared modified commercial-off-the-shelf extraction methods such as the Qiagen Plant, Stool and the Promega Maxwell-16 RNA-LEV tissue kits for the ability to extract opium poppy DNA from latex, raw and cooked opium, white and brown powder heroin and black tar heroin. Opium poppy DNA was successfully detected in all poppy-derived samples, including heroin. The modified Qiagen stool method with post-extraction purification and a two-stage, dual DNA polymerase amplification procedure resulted in the highest DNA yield and minimized inhibition. This paper describes the initial phase in establishing a DNA-based signature method to characterize heroin.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-20996-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "Development of a Method to Extract Opium Poppy (Papaver somniferum L.) DNA from Heroin", 
    "pagination": "2590", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c184a6ee136f984414498daf2591a697a7a4cd4b66c6bd3376187f06d861a00b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29416103"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-20996-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1100780814"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-20996-9", 
      "https://app.dimensions.ai/details/publication/pub.1100780814"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T21:54", 
    "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_8687_00000603.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-20996-9"
  }
]
 

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.10.1038/s41598-018-20996-9'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-20996-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-20996-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-20996-9'


 

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

191 TRIPLES      21 PREDICATES      58 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-20996-9 schema:about anzsrc-for:03
2 anzsrc-for:0301
3 schema:author N1cd6041b495447a7b35c81940fe2d05b
4 schema:citation sg:pub.10.1007/s00299-010-0862-4
5 sg:pub.10.1007/s11032-014-0036-0
6 sg:pub.10.1038/431413a
7 sg:pub.10.1038/nchembio.160
8 sg:pub.10.1038/srep08056
9 sg:pub.10.1038/srep30910
10 sg:pub.10.1038/srep39256
11 sg:pub.10.1186/1471-2105-13-134
12 https://app.dimensions.ai/details/publication/pub.1077097480
13 https://doi.org/10.1016/j.forsciint.2012.08.002
14 https://doi.org/10.1016/j.forsciint.2013.06.008
15 https://doi.org/10.1016/s0022-2836(05)80360-2
16 https://doi.org/10.1016/s0379-0738(97)00196-5
17 https://doi.org/10.1073/pnas.92.20.9264
18 https://doi.org/10.1093/bioinformatics/btn322
19 https://doi.org/10.1093/nar/gkg813
20 https://doi.org/10.1093/nar/gki063
21 https://doi.org/10.1093/nar/gkn1055
22 https://doi.org/10.1111/j.1556-4029.2006.00057.x
23 https://doi.org/10.1111/j.1556-4029.2009.01220.x
24 https://doi.org/10.1111/j.1556-4029.2010.01423.x
25 https://doi.org/10.1146/annurev.ecolsys.110308.120307
26 https://doi.org/10.1371/journal.pone.0070388
27 https://doi.org/10.1371/journal.pone.0086827
28 https://doi.org/10.1515/agri-2015-0020
29 https://doi.org/10.1520/jfs13863j
30 https://doi.org/10.17221/96/2009-cjgpb
31 https://doi.org/10.2135/cropsci2001.4151596x
32 https://doi.org/10.3844/ajidsp.2009.148.153
33 schema:datePublished 2018-12
34 schema:datePublishedReg 2018-12-01
35 schema:description This study is the first to report the successful development of a method to extract opium poppy (Papaver somniferum L.) DNA from heroin samples. Determining of the source of an unknown heroin sample (forensic geosourcing) is vital to informing domestic and foreign policy related to counter-narcoterrorism. Current profiling methods focus on identifying process-related chemical impurities found in heroin samples. Changes to the geographically distinct processing methods may lead to difficulties in classifying and attributing heroin samples to a region/country. This study focuses on methods to optimize the DNA extraction and amplification of samples with low levels of degraded DNA and inhibiting compounds such as heroin. We compared modified commercial-off-the-shelf extraction methods such as the Qiagen Plant, Stool and the Promega Maxwell-16 RNA-LEV tissue kits for the ability to extract opium poppy DNA from latex, raw and cooked opium, white and brown powder heroin and black tar heroin. Opium poppy DNA was successfully detected in all poppy-derived samples, including heroin. The modified Qiagen stool method with post-extraction purification and a two-stage, dual DNA polymerase amplification procedure resulted in the highest DNA yield and minimized inhibition. This paper describes the initial phase in establishing a DNA-based signature method to characterize heroin.
36 schema:genre research_article
37 schema:inLanguage en
38 schema:isAccessibleForFree true
39 schema:isPartOf N4c7301ee41bb48188090e3984ad29bbd
40 Nff9cdfebbb4f4975a0fd96b7fb28d58f
41 sg:journal.1045337
42 schema:name Development of a Method to Extract Opium Poppy (Papaver somniferum L.) DNA from Heroin
43 schema:pagination 2590
44 schema:productId N297e3193691a4442b52e38539f9fd005
45 N2a8e08519e674847baffddee77581a7f
46 N6bd0cb3dd0da488cbf043bc900b1903f
47 N799cd2846593430bb708638d27425adf
48 Nb5fdc88c92734480b1d5798dfa1127b8
49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100780814
50 https://doi.org/10.1038/s41598-018-20996-9
51 schema:sdDatePublished 2019-04-10T21:54
52 schema:sdLicense https://scigraph.springernature.com/explorer/license/
53 schema:sdPublisher Nde3fba66c5734dac9ee8fc139c1c731c
54 schema:url https://www.nature.com/articles/s41598-018-20996-9
55 sgo:license sg:explorer/license/
56 sgo:sdDataset articles
57 rdf:type schema:ScholarlyArticle
58 N1cd6041b495447a7b35c81940fe2d05b rdf:first sg:person.014666064725.03
59 rdf:rest Nb58549e9d446439d83bb9fa7d666d070
60 N297e3193691a4442b52e38539f9fd005 schema:name readcube_id
61 schema:value c184a6ee136f984414498daf2591a697a7a4cd4b66c6bd3376187f06d861a00b
62 rdf:type schema:PropertyValue
63 N2a8e08519e674847baffddee77581a7f schema:name nlm_unique_id
64 schema:value 101563288
65 rdf:type schema:PropertyValue
66 N4c7301ee41bb48188090e3984ad29bbd schema:volumeNumber 8
67 rdf:type schema:PublicationVolume
68 N64111ecc1e3147f1a482d2c933960dbb rdf:first sg:person.01135527026.83
69 rdf:rest rdf:nil
70 N6bd0cb3dd0da488cbf043bc900b1903f schema:name pubmed_id
71 schema:value 29416103
72 rdf:type schema:PropertyValue
73 N774fba9b115a4775acdbdeaec40ca6c0 schema:affiliation https://www.grid.ac/institutes/grid.264484.8
74 schema:familyName Liddil
75 schema:givenName Garrett D.
76 rdf:type schema:Person
77 N799cd2846593430bb708638d27425adf schema:name doi
78 schema:value 10.1038/s41598-018-20996-9
79 rdf:type schema:PropertyValue
80 N8be84a16782748b7b71ebeb5bb24cebf rdf:first Nc2dc34678f9a4843ba31dcdc06fb2160
81 rdf:rest N64111ecc1e3147f1a482d2c933960dbb
82 Nb58549e9d446439d83bb9fa7d666d070 rdf:first sg:person.01115625225.51
83 rdf:rest Ndfe2aea1d82c499d8a0a22ba261e5b75
84 Nb5fdc88c92734480b1d5798dfa1127b8 schema:name dimensions_id
85 schema:value pub.1100780814
86 rdf:type schema:PropertyValue
87 Nc2dc34678f9a4843ba31dcdc06fb2160 schema:affiliation https://www.grid.ac/institutes/grid.264484.8
88 schema:familyName Lindgren
89 schema:givenName Danielle
90 rdf:type schema:Person
91 Nde3fba66c5734dac9ee8fc139c1c731c schema:name Springer Nature - SN SciGraph project
92 rdf:type schema:Organization
93 Ndfe2aea1d82c499d8a0a22ba261e5b75 rdf:first N774fba9b115a4775acdbdeaec40ca6c0
94 rdf:rest N8be84a16782748b7b71ebeb5bb24cebf
95 Nff9cdfebbb4f4975a0fd96b7fb28d58f schema:issueNumber 1
96 rdf:type schema:PublicationIssue
97 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
98 schema:name Chemical Sciences
99 rdf:type schema:DefinedTerm
100 anzsrc-for:0301 schema:inDefinedTermSet anzsrc-for:
101 schema:name Analytical Chemistry
102 rdf:type schema:DefinedTerm
103 sg:journal.1045337 schema:issn 2045-2322
104 schema:name Scientific Reports
105 rdf:type schema:Periodical
106 sg:person.01115625225.51 schema:affiliation https://www.grid.ac/institutes/grid.484223.b
107 schema:familyName Panicker
108 schema:givenName Sini X.
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01115625225.51
110 rdf:type schema:Person
111 sg:person.01135527026.83 schema:affiliation https://www.grid.ac/institutes/grid.264484.8
112 schema:familyName Sweder
113 schema:givenName Kevin S.
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135527026.83
115 rdf:type schema:Person
116 sg:person.014666064725.03 schema:affiliation https://www.grid.ac/institutes/grid.264484.8
117 schema:familyName Marciano
118 schema:givenName Michael A.
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014666064725.03
120 rdf:type schema:Person
121 sg:pub.10.1007/s00299-010-0862-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047959528
122 https://doi.org/10.1007/s00299-010-0862-4
123 rdf:type schema:CreativeWork
124 sg:pub.10.1007/s11032-014-0036-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006033203
125 https://doi.org/10.1007/s11032-014-0036-0
126 rdf:type schema:CreativeWork
127 sg:pub.10.1038/431413a schema:sameAs https://app.dimensions.ai/details/publication/pub.1034521229
128 https://doi.org/10.1038/431413a
129 rdf:type schema:CreativeWork
130 sg:pub.10.1038/nchembio.160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017938264
131 https://doi.org/10.1038/nchembio.160
132 rdf:type schema:CreativeWork
133 sg:pub.10.1038/srep08056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025800612
134 https://doi.org/10.1038/srep08056
135 rdf:type schema:CreativeWork
136 sg:pub.10.1038/srep30910 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034890464
137 https://doi.org/10.1038/srep30910
138 rdf:type schema:CreativeWork
139 sg:pub.10.1038/srep39256 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046784224
140 https://doi.org/10.1038/srep39256
141 rdf:type schema:CreativeWork
142 sg:pub.10.1186/1471-2105-13-134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046135038
143 https://doi.org/10.1186/1471-2105-13-134
144 rdf:type schema:CreativeWork
145 https://app.dimensions.ai/details/publication/pub.1077097480 schema:CreativeWork
146 https://doi.org/10.1016/j.forsciint.2012.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039314685
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.forsciint.2013.06.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004981670
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/s0022-2836(05)80360-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013618994
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/s0379-0738(97)00196-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010847295
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1073/pnas.92.20.9264 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010329400
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1093/bioinformatics/btn322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038142398
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1093/nar/gkg813 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004446423
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1093/nar/gki063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018302933
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1093/nar/gkn1055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039378112
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1111/j.1556-4029.2006.00057.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025927047
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1111/j.1556-4029.2009.01220.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1011578204
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1111/j.1556-4029.2010.01423.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043074411
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1146/annurev.ecolsys.110308.120307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018587808
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1371/journal.pone.0070388 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049244655
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1371/journal.pone.0086827 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028056294
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1515/agri-2015-0020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032605312
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1520/jfs13863j schema:sameAs https://app.dimensions.ai/details/publication/pub.1090258103
179 rdf:type schema:CreativeWork
180 https://doi.org/10.17221/96/2009-cjgpb schema:sameAs https://app.dimensions.ai/details/publication/pub.1100968904
181 rdf:type schema:CreativeWork
182 https://doi.org/10.2135/cropsci2001.4151596x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069027382
183 rdf:type schema:CreativeWork
184 https://doi.org/10.3844/ajidsp.2009.148.153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071458969
185 rdf:type schema:CreativeWork
186 https://www.grid.ac/institutes/grid.264484.8 schema:alternateName Syracuse University
187 schema:name Forensic & National Security Sciences Institute, Syracuse University, 13244, Syracuse, New York, USA
188 rdf:type schema:Organization
189 https://www.grid.ac/institutes/grid.484223.b schema:alternateName Drug Enforcement Administration
190 schema:name U.S. Drug Enforcement Administration, Special Testing and Research Laboratory, 20166, Dulles, VA, USA
191 rdf:type schema:Organization
 




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


...