Non-invasive plant disease diagnostics enabled by smartphone-based fingerprinting of leaf volatiles.
Identifieur interne : 000442 ( Main/Exploration ); précédent : 000441; suivant : 000443Non-invasive plant disease diagnostics enabled by smartphone-based fingerprinting of leaf volatiles.
Auteurs : Zheng Li [États-Unis] ; Rajesh Paul [États-Unis] ; Taleb Ba Tis [États-Unis] ; Amanda C. Saville [États-Unis] ; Jeana C. Hansel [États-Unis] ; Tao Yu [États-Unis] ; Jean B. Ristaino [États-Unis] ; Qingshan Wei [États-Unis]Source :
- Nature plants [ 2055-0278 ] ; 2019.
Descripteurs français
- KwdFr :
- MESH :
- analyse : Composés organiques volatils.
- composition chimique : Feuilles de plante.
- microbiologie : Maladies des plantes, Solanum tuberosum.
- physiologie : Phytophthora infestans.
- Applications mobiles, Ordiphone.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Volatile Organic Compounds.
- chemistry : Plant Leaves.
- microbiology : Plant Diseases, Solanum tuberosum.
- physiology : Phytophthora infestans.
- Mobile Applications, Smartphone.
Abstract
Plant pathogen detection conventionally relies on molecular technology that is complicated, time-consuming and constrained to centralized laboratories. We developed a cost-effective smartphone-based volatile organic compound (VOC) fingerprinting platform that allows non-invasive diagnosis of late blight caused by Phytophthora infestans by monitoring characteristic leaf volatile emissions in the field. This handheld device integrates a disposable colourimetric sensor array consisting of plasmonic nanocolorants and chemo-responsive organic dyes to detect key plant volatiles at the ppm level within 1 min of reaction. We demonstrate the multiplexed detection and classification of ten individual plant volatiles with this field-portable VOC-sensing platform, which allows for early detection of tomato late blight 2 d after inoculation, and differentiation from other pathogens of tomato that lead to similar symptoms on tomato foliage. Furthermore, we demonstrate a detection accuracy of ≥95% in diagnosis of P. infestans in both laboratory-inoculated and field-collected tomato leaves in blind pilot tests. Finally, the sensor platform has been beta-tested for detection of P. infestans in symptomless tomato plants in the greenhouse setting.
DOI: 10.1038/s41477-019-0476-y
PubMed: 31358961
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Hansel</name><affiliation wicri:level="2"><nlm:affiliation>Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC</wicri:regionArea><placeName><region type="state">Caroline du Nord</region></placeName></affiliation></author><author><name sortKey="Yu, Tao" sort="Yu, Tao" uniqKey="Yu T" first="Tao" last="Yu">Tao Yu</name><affiliation wicri:level="2"><nlm:affiliation>Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC</wicri:regionArea><placeName><region type="state">Caroline du Nord</region></placeName></affiliation></author><author><name sortKey="Ristaino, Jean B" sort="Ristaino, Jean B" uniqKey="Ristaino J" first="Jean B" last="Ristaino">Jean B. Ristaino</name><affiliation wicri:level="2"><nlm:affiliation>Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC</wicri:regionArea><placeName><region type="state">Caroline du Nord</region></placeName></affiliation><affiliation wicri:level="2"><nlm:affiliation>Emerging Plant Disease and Global Food Security Cluster, North Carolina State University, Raleigh, NC, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Emerging Plant Disease and Global Food Security Cluster, North Carolina State University, Raleigh, NC</wicri:regionArea><placeName><region type="state">Caroline du Nord</region></placeName></affiliation></author><author><name sortKey="Wei, Qingshan" sort="Wei, Qingshan" uniqKey="Wei Q" first="Qingshan" last="Wei">Qingshan Wei</name><affiliation wicri:level="2"><nlm:affiliation>Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA. qwei3@ncsu.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC</wicri:regionArea><placeName><region type="state">Caroline du Nord</region></placeName></affiliation><affiliation wicri:level="2"><nlm:affiliation>Emerging Plant Disease and Global Food Security Cluster, North Carolina State University, Raleigh, NC, USA. qwei3@ncsu.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Emerging Plant Disease and Global Food Security Cluster, North Carolina State University, Raleigh, NC</wicri:regionArea><placeName><region type="state">Caroline du Nord</region></placeName></affiliation></author></analytic><series><title level="j">Nature plants</title><idno type="eISSN">2055-0278</idno><imprint><date when="2019" type="published">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Mobile Applications (MeSH)</term><term>Phytophthora infestans (physiology)</term><term>Plant Diseases (microbiology)</term><term>Plant Leaves (chemistry)</term><term>Smartphone (MeSH)</term><term>Solanum tuberosum (microbiology)</term><term>Volatile Organic Compounds (analysis)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Applications mobiles (MeSH)</term><term>Composés organiques volatils (analyse)</term><term>Feuilles de plante (composition chimique)</term><term>Maladies des plantes (microbiologie)</term><term>Ordiphone (MeSH)</term><term>Phytophthora infestans (physiologie)</term><term>Solanum tuberosum (microbiologie)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Volatile Organic Compounds</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Composés organiques volatils</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Plant Leaves</term></keywords><keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr"><term>Feuilles de plante</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Maladies des plantes</term><term>Solanum tuberosum</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Plant Diseases</term><term>Solanum tuberosum</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Phytophthora infestans</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Phytophthora infestans</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Mobile Applications</term><term>Smartphone</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Applications mobiles</term><term>Ordiphone</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Plant pathogen detection conventionally relies on molecular technology that is complicated, time-consuming and constrained to centralized laboratories. We developed a cost-effective smartphone-based volatile organic compound (VOC) fingerprinting platform that allows non-invasive diagnosis of late blight caused by Phytophthora infestans by monitoring characteristic leaf volatile emissions in the field. This handheld device integrates a disposable colourimetric sensor array consisting of plasmonic nanocolorants and chemo-responsive organic dyes to detect key plant volatiles at the ppm level within 1 min of reaction. We demonstrate the multiplexed detection and classification of ten individual plant volatiles with this field-portable VOC-sensing platform, which allows for early detection of tomato late blight 2 d after inoculation, and differentiation from other pathogens of tomato that lead to similar symptoms on tomato foliage. Furthermore, we demonstrate a detection accuracy of ≥95% in diagnosis of P. infestans in both laboratory-inoculated and field-collected tomato leaves in blind pilot tests. Finally, the sensor platform has been beta-tested for detection of P. infestans in symptomless tomato plants in the greenhouse setting.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">31358961</PMID><DateCompleted><Year>2020</Year><Month>03</Month><Day>23</Day></DateCompleted><DateRevised><Year>2020</Year><Month>05</Month><Day>15</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">2055-0278</ISSN><JournalIssue CitedMedium="Internet"><Volume>5</Volume><Issue>8</Issue><PubDate><Year>2019</Year><Month>08</Month></PubDate></JournalIssue><Title>Nature plants</Title><ISOAbbreviation>Nat Plants</ISOAbbreviation></Journal><ArticleTitle>Non-invasive plant disease diagnostics enabled by smartphone-based fingerprinting of leaf volatiles.</ArticleTitle><Pagination><MedlinePgn>856-866</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1038/s41477-019-0476-y</ELocationID><Abstract><AbstractText>Plant pathogen detection conventionally relies on molecular technology that is complicated, time-consuming and constrained to centralized laboratories. We developed a cost-effective smartphone-based volatile organic compound (VOC) fingerprinting platform that allows non-invasive diagnosis of late blight caused by Phytophthora infestans by monitoring characteristic leaf volatile emissions in the field. This handheld device integrates a disposable colourimetric sensor array consisting of plasmonic nanocolorants and chemo-responsive organic dyes to detect key plant volatiles at the ppm level within 1 min of reaction. We demonstrate the multiplexed detection and classification of ten individual plant volatiles with this field-portable VOC-sensing platform, which allows for early detection of tomato late blight 2 d after inoculation, and differentiation from other pathogens of tomato that lead to similar symptoms on tomato foliage. Furthermore, we demonstrate a detection accuracy of ≥95% in diagnosis of P. infestans in both laboratory-inoculated and field-collected tomato leaves in blind pilot tests. Finally, the sensor platform has been beta-tested for detection of P. infestans in symptomless tomato plants in the greenhouse setting.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Zheng</ForeName><Initials>Z</Initials><Identifier Source="ORCID">http://orcid.org/0000-0001-9066-5791</Identifier><AffiliationInfo><Affiliation>Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Paul</LastName><ForeName>Rajesh</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ba Tis</LastName><ForeName>Taleb</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Department of Materials Science and Engineering, North Carolina State University, Raleigh, NC, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Saville</LastName><ForeName>Amanda C</ForeName><Initials>AC</Initials><AffiliationInfo><Affiliation>Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hansel</LastName><ForeName>Jeana C</ForeName><Initials>JC</Initials><AffiliationInfo><Affiliation>Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yu</LastName><ForeName>Tao</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ristaino</LastName><ForeName>Jean B</ForeName><Initials>JB</Initials><AffiliationInfo><Affiliation>Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Emerging Plant Disease and Global Food Security Cluster, North Carolina State University, Raleigh, NC, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wei</LastName><ForeName>Qingshan</ForeName><Initials>Q</Initials><Identifier Source="ORCID">http://orcid.org/0000-0003-1214-010X</Identifier><AffiliationInfo><Affiliation>Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA. qwei3@ncsu.edu.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Emerging Plant Disease and Global Food Security Cluster, North Carolina State University, Raleigh, NC, USA. qwei3@ncsu.edu.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D023362">Evaluation Study</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>07</Month><Day>29</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Nat Plants</MedlineTA><NlmUniqueID>101651677</NlmUniqueID><ISSNLinking>2055-0278</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D055549">Volatile Organic Compounds</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D063731" MajorTopicYN="Y">Mobile Applications</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055750" MajorTopicYN="N">Phytophthora infestans</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010935" MajorTopicYN="Y">Plant Diseases</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018515" MajorTopicYN="N">Plant Leaves</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000068997" MajorTopicYN="Y">Smartphone</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011198" MajorTopicYN="N">Solanum tuberosum</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055549" MajorTopicYN="N">Volatile Organic Compounds</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2018</Year><Month>10</Month><Day>31</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>06</Month><Day>13</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2019</Year><Month>7</Month><Day>31</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>3</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2019</Year><Month>7</Month><Day>31</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">31358961</ArticleId><ArticleId IdType="doi">10.1038/s41477-019-0476-y</ArticleId><ArticleId IdType="pii">10.1038/s41477-019-0476-y</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Caroline du Nord</li></region></list><tree><country name="États-Unis"><region name="Caroline du Nord"><name sortKey="Li, Zheng" sort="Li, Zheng" uniqKey="Li Z" first="Zheng" last="Li">Zheng Li</name></region><name sortKey="Ba Tis, Taleb" sort="Ba Tis, Taleb" uniqKey="Ba Tis T" first="Taleb" last="Ba Tis">Taleb Ba Tis</name><name sortKey="Hansel, Jeana C" sort="Hansel, Jeana C" uniqKey="Hansel J" first="Jeana C" last="Hansel">Jeana C. Hansel</name><name sortKey="Paul, Rajesh" sort="Paul, Rajesh" uniqKey="Paul R" first="Rajesh" last="Paul">Rajesh Paul</name><name sortKey="Ristaino, Jean B" sort="Ristaino, Jean B" uniqKey="Ristaino J" first="Jean B" last="Ristaino">Jean B. Ristaino</name><name sortKey="Ristaino, Jean B" sort="Ristaino, Jean B" uniqKey="Ristaino J" first="Jean B" last="Ristaino">Jean B. Ristaino</name><name sortKey="Saville, Amanda C" sort="Saville, Amanda C" uniqKey="Saville A" first="Amanda C" last="Saville">Amanda C. Saville</name><name sortKey="Wei, Qingshan" sort="Wei, Qingshan" uniqKey="Wei Q" first="Qingshan" last="Wei">Qingshan Wei</name><name sortKey="Wei, Qingshan" sort="Wei, Qingshan" uniqKey="Wei Q" first="Qingshan" last="Wei">Qingshan Wei</name><name sortKey="Yu, Tao" sort="Yu, Tao" uniqKey="Yu T" first="Tao" last="Yu">Tao Yu</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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