Potential Applications and Limitations of Electronic Nose Devices for Plant Disease Diagnosis
Electronic nose technology has recently been applied to the detection of several plant diseases and pests, with promising results. However, in spite of its numerous advantages, including operational simplicity, non-destructivity, and bulk sampling, drawbacks include a low sensitivity and specificity...
Saved in:
| Published in | Sensors (Basel, Switzerland) Vol. 17; no. 11; p. 2596 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
MDPI AG
11.11.2017
MDPI |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Electronic nose technology has recently been applied to the detection of several plant diseases and pests, with promising results. However, in spite of its numerous advantages, including operational simplicity, non-destructivity, and bulk sampling, drawbacks include a low sensitivity and specificity in comparison with microbiological and molecular methods. A critical review of the use of an electronic nose for plant disease diagnosis and pest detection is presented, describing the instrumental and procedural advances of sensorial analysis, for the improvement of discrimination between healthy and infected or infested plants. In conclusion, the use of electronic nose technology is suggested to assist, direct, and optimise traditionally adopted diagnostic techniques. |
|---|---|
| AbstractList | Electronic nose technology has recently been applied to the detection of several plant diseases and pests, with promising results. However, in spite of its numerous advantages, including operational simplicity, non-destructivity, and bulk sampling, drawbacks include a low sensitivity and specificity in comparison with microbiological and molecular methods. A critical review of the use of an electronic nose for plant disease diagnosis and pest detection is presented, describing the instrumental and procedural advances of sensorial analysis, for the improvement of discrimination between healthy and infected or infested plants. In conclusion, the use of electronic nose technology is suggested to assist, direct, and optimise traditionally adopted diagnostic techniques. Electronic nose technology has recently been applied to the detection of several plant diseases and pests, with promising results. However, in spite of its numerous advantages, including operational simplicity, non-destructivity, and bulk sampling, drawbacks include a low sensitivity and specificity in comparison with microbiological and molecular methods. A critical review of the use of an electronic nose for plant disease diagnosis and pest detection is presented, describing the instrumental and procedural advances of sensorial analysis, for the improvement of discrimination between healthy and infected or infested plants. In conclusion, the use of electronic nose technology is suggested to assist, direct, and optimise traditionally adopted diagnostic techniques.Electronic nose technology has recently been applied to the detection of several plant diseases and pests, with promising results. However, in spite of its numerous advantages, including operational simplicity, non-destructivity, and bulk sampling, drawbacks include a low sensitivity and specificity in comparison with microbiological and molecular methods. A critical review of the use of an electronic nose for plant disease diagnosis and pest detection is presented, describing the instrumental and procedural advances of sensorial analysis, for the improvement of discrimination between healthy and infected or infested plants. In conclusion, the use of electronic nose technology is suggested to assist, direct, and optimise traditionally adopted diagnostic techniques. |
| Author | Blasioli, Sonia Cellini, Antonio Biondi, Enrico Spinelli, Francesco Bertaccini, Assunta Braschi, Ilaria |
| AuthorAffiliation | Department of Agricultural Sciences, Alma Mater Studiorum—University of Bologna, viale G. Fanin 44, 40127 Bologna, Italy; antonio.cellini2@unibo.it (A.C.); sonia.blasioli@unibo.it (S.B.); enrico.biondi3@unibo.it (E.B.); assunta.bertaccini@unibo.it (A.B.); ilaria.braschi@unibo.it (I.B.) |
| AuthorAffiliation_xml | – name: Department of Agricultural Sciences, Alma Mater Studiorum—University of Bologna, viale G. Fanin 44, 40127 Bologna, Italy; antonio.cellini2@unibo.it (A.C.); sonia.blasioli@unibo.it (S.B.); enrico.biondi3@unibo.it (E.B.); assunta.bertaccini@unibo.it (A.B.); ilaria.braschi@unibo.it (I.B.) |
| Author_xml | – sequence: 1 givenname: Antonio orcidid: 0000-0002-9022-239X surname: Cellini fullname: Cellini, Antonio – sequence: 2 givenname: Sonia surname: Blasioli fullname: Blasioli, Sonia – sequence: 3 givenname: Enrico surname: Biondi fullname: Biondi, Enrico – sequence: 4 givenname: Assunta surname: Bertaccini fullname: Bertaccini, Assunta – sequence: 5 givenname: Ilaria surname: Braschi fullname: Braschi, Ilaria – sequence: 6 givenname: Francesco surname: Spinelli fullname: Spinelli, Francesco |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29137109$$D View this record in MEDLINE/PubMed |
| BookMark | eNplkktvEzEQgC1URB9w4A-glbjAIdSvXXsuSFVboFIEPcARWY49Do42drA3lfj3uCSt2nLyYz5_Gs_MMTlIOSEhrxn9IATQ08oUY7yH4Rk5YpLLmeacHjzYH5LjWleUciGEfkEOOTChGIUj8vM6T5imaMfubLMZo7NTzKl2NvluHtdx2p9z6C5HdFPJKbrua67YXeBNdFi7kEt3Pdo0dRexor2NRLtMucb6kjwPdqz4ar-ekB-fLr-ff5nNv32-Oj-bz5wcYJox9FIPFChwbRGDgIEpCm6x8EF5ygT4XgewyMFbsNr54B3YQfbaOQggTsjVzuuzXZlNiWtb_phso_l3kcvS2DJFN6LhA7ABvZV9HySVznImNYZeBtmcijbXx51rs12s0btWnWLHR9LHkRR_mWW-Mb1iHKhqgnd7Qcm_t1gns47V4dhKhHlbDYOh_VpToRv69gm6ytuSWqkapZRWEmTfqDcPM7pP5a6LDTjdAa7kWgsG4_aNawnG0TBqbufE3M9Je_H-yYs76f_sX6v6vSc |
| CitedBy_id | crossref_primary_10_1002_adfm_202101310 crossref_primary_10_1016_j_fbio_2024_104503 crossref_primary_10_3390_pathogens10111359 crossref_primary_10_3390_s20030924 crossref_primary_10_3390_mi14101819 crossref_primary_10_1007_s41783_021_00120_5 crossref_primary_10_3390_app14114506 crossref_primary_10_1007_s42360_020_00290_3 crossref_primary_10_1016_j_tplants_2021_05_006 crossref_primary_10_2174_2210681212666220609104504 crossref_primary_10_1016_j_stress_2023_100239 crossref_primary_10_1016_j_snr_2021_100068 crossref_primary_10_1109_TIM_2020_2997064 crossref_primary_10_1111_1755_0998_12999 crossref_primary_10_1016_j_plana_2022_100018 crossref_primary_10_3390_molecules26175272 crossref_primary_10_1016_j_bios_2025_117341 crossref_primary_10_1016_j_compag_2022_106988 crossref_primary_10_1016_j_cropro_2022_106163 crossref_primary_10_3390_s23094538 crossref_primary_10_1088_1752_7163_ac135e crossref_primary_10_3390_chemosensors6040045 crossref_primary_10_1016_j_neucom_2023_01_005 crossref_primary_10_1109_ACCESS_2022_3203390 crossref_primary_10_1094_PHP_03_21_0055_SYN crossref_primary_10_34133_bmef_0002 crossref_primary_10_1016_j_bios_2021_113953 crossref_primary_10_1016_j_postharvbio_2018_09_017 crossref_primary_10_3389_fpls_2022_916474 crossref_primary_10_1016_j_matt_2021_06_009 crossref_primary_10_1016_j_bios_2020_112763 crossref_primary_10_1016_j_slast_2023_06_002 crossref_primary_10_3390_chemosensors8030060 crossref_primary_10_1016_j_snb_2021_130001 crossref_primary_10_1038_s41477_019_0476_y crossref_primary_10_3390_agronomy13010059 crossref_primary_10_1111_tpj_15176 crossref_primary_10_3390_s24154806 crossref_primary_10_1007_s10340_018_1004_y crossref_primary_10_1039_C9NA00724E crossref_primary_10_1016_j_cej_2024_152260 crossref_primary_10_3390_s23042001 crossref_primary_10_1146_annurev_phyto_010820_012832 crossref_primary_10_3390_separations10110556 crossref_primary_10_3390_s21175948 crossref_primary_10_1016_j_plana_2024_100079 crossref_primary_10_3389_fhort_2024_1394041 crossref_primary_10_3390_bios12040239 crossref_primary_10_3390_s21175868 crossref_primary_10_1088_1674_4926_44_2_023104 crossref_primary_10_3390_s21041326 crossref_primary_10_1002_jsfa_11061 crossref_primary_10_1016_j_heliyon_2024_e29583 crossref_primary_10_1080_10601325_2021_1978849 crossref_primary_10_1016_j_compag_2021_106575 crossref_primary_10_3390_f13030479 crossref_primary_10_3389_ffgc_2024_1445094 crossref_primary_10_1016_j_bios_2023_115540 crossref_primary_10_3390_chemosensors9110297 crossref_primary_10_1016_j_cie_2022_108944 crossref_primary_10_1016_j_fbr_2021_10_001 crossref_primary_10_1021_acs_jafc_3c01339 crossref_primary_10_1007_s13744_021_00939_2 crossref_primary_10_1016_j_postharvbio_2021_111496 crossref_primary_10_3390_plants13060786 crossref_primary_10_1016_j_chemosphere_2022_133798 crossref_primary_10_1016_j_atech_2024_100451 crossref_primary_10_3390_s18082658 crossref_primary_10_3390_s22145453 crossref_primary_10_1021_acsanm_4c00654 crossref_primary_10_2139_ssrn_4663493 crossref_primary_10_3390_s23020627 |
| Cites_doi | 10.1016/j.jfoodeng.2014.07.019 10.1080/07352680600899973 10.1046/j.1365-3059.2001.00594.x 10.3390/s150100899 10.1007/BF03356442 10.1007/s13593-014-0246-1 10.1109/ICCSCE.2014.7072689 10.1016/j.foodres.2014.02.020 10.1016/j.postharvbio.2009.11.004 10.1016/j.bios.2016.09.032 10.1021/es801738s 10.17660/ActaHortic.2011.896.8 10.17660/ActaHortic.2006.704.9 10.1016/j.compag.2009.09.019 10.1016/S0021-9673(00)00363-0 10.1016/j.aca.2009.02.009 10.1557/mrs2004.206 10.1007/s00216-002-1352-5 10.3390/s130202295 10.1016/j.snb.2005.12.061 10.3390/s90705099 10.1186/s12864-016-2413-z 10.1371/journal.pone.0021026 10.1002/jsfa.1828 10.1016/j.compag.2009.01.006 10.1021/jf403436t 10.1016/j.jspr.2007.01.004 10.1016/j.compag.2010.02.007 10.1016/j.snb.2011.07.002 10.1002/jsfa.5586 10.1007/s00344-007-0014-4 10.1094/PHYTO.2004.94.5.419 10.1016/j.talanta.2014.04.057 10.3389/fpls.2017.00475 10.17660/ActaHortic.2015.1099.40 10.1016/j.compag.2013.05.002 10.1111/aab.12272 10.1016/j.talanta.2010.01.037 10.1016/S0168-1699(00)00165-4 10.1007/s00468-011-0667-2 10.1111/j.1365-2338.2009.02355.x 10.1094/PDIS.2002.86.2.131 10.3390/s100201062 10.1016/j.tplants.2004.02.006 10.1007/s11434-008-0591-z 10.1023/B:EJPP.0000021058.81491.f8 10.3390/s141018114 10.1016/S0925-4005(99)00133-1 10.1007/s00468-015-1321-1 10.1016/j.aca.2010.02.017 |
| ContentType | Journal Article |
| Copyright | Copyright MDPI AG 2017 2017 by the authors. 2017 |
| Copyright_xml | – notice: Copyright MDPI AG 2017 – notice: 2017 by the authors. 2017 |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7X7 7XB 88E 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH K9. M0S M1P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI PRINS 7X8 5PM DOA |
| DOI | 10.3390/s17112596 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) ProQuest Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Health & Medical Complete (Alumni) ProQuest Health & Medical Collection Medical Database ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Central China ProQuest Central ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE CrossRef MEDLINE - Academic Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: DOA name: Directory of Open Access Journals (DOAJ) url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 4 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1424-8220 |
| ExternalDocumentID | oai_doaj_org_article_26916eda455f404ca2148ef54f4dc970 PMC5712907 29137109 10_3390_s17112596 |
| Genre | Journal Article Review |
| GroupedDBID | --- 123 2WC 53G 5VS 7X7 88E 8FE 8FG 8FI 8FJ AADQD AAHBH AAYXX ABDBF ABUWG ACUHS ADBBV ADMLS ADRAZ AENEX AFKRA AFZYC ALIPV ALMA_UNASSIGNED_HOLDINGS BENPR BPHCQ BVXVI CCPQU CITATION CS3 D1I DU5 E3Z EBD ESX F5P FYUFA GROUPED_DOAJ GX1 HH5 HMCUK HYE IPNFZ KQ8 L6V M1P M48 MODMG M~E OK1 OVT P2P P62 PHGZM PHGZT PIMPY PQQKQ PROAC PSQYO RIG RNS RPM TUS UKHRP XSB ~8M CGR CUY CVF ECM EIF NPM PJZUB PPXIY 3V. 7XB 8FK AZQEC DWQXO K9. PKEHL PQEST PQUKI PRINS 7X8 5PM PUEGO |
| ID | FETCH-LOGICAL-c469t-1ed486090928aeef3961709cbbdf7d0139d58f9ae29da9a8cdfdc9a6458cc9f93 |
| IEDL.DBID | M48 |
| ISSN | 1424-8220 |
| IngestDate | Wed Aug 27 01:16:35 EDT 2025 Thu Aug 21 14:07:53 EDT 2025 Fri Jul 11 07:36:33 EDT 2025 Fri Jul 25 20:42:58 EDT 2025 Mon Jul 21 06:05:49 EDT 2025 Tue Jul 01 01:36:43 EDT 2025 Thu Apr 24 23:05:31 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 11 |
| Keywords | plant pathogen detection sensor signal drift VOCs gas sampling relative humidity control e-nose pest infestation |
| Language | English |
| License | https://creativecommons.org/licenses/by/4.0 Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c469t-1ed486090928aeef3961709cbbdf7d0139d58f9ae29da9a8cdfdc9a6458cc9f93 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Review-3 content type line 23 |
| ORCID | 0000-0002-9022-239X |
| OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.3390/s17112596 |
| PMID | 29137109 |
| PQID | 1977874945 |
| PQPubID | 2032333 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_26916eda455f404ca2148ef54f4dc970 pubmedcentral_primary_oai_pubmedcentral_nih_gov_5712907 proquest_miscellaneous_1964698038 proquest_journals_1977874945 pubmed_primary_29137109 crossref_citationtrail_10_3390_s17112596 crossref_primary_10_3390_s17112596 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2017-11-11 |
| PublicationDateYYYYMMDD | 2017-11-11 |
| PublicationDate_xml | – month: 11 year: 2017 text: 2017-11-11 day: 11 |
| PublicationDecade | 2010 |
| PublicationPlace | Switzerland |
| PublicationPlace_xml | – name: Switzerland – name: Basel |
| PublicationTitle | Sensors (Basel, Switzerland) |
| PublicationTitleAlternate | Sensors (Basel) |
| PublicationYear | 2017 |
| Publisher | MDPI AG MDPI |
| Publisher_xml | – name: MDPI AG – name: MDPI |
| References | Rizzolo (ref_5) 2015; 1099 Blasioli (ref_10) 2010; 672 Baldwin (ref_50) 2007; 26 Spinelli (ref_9) 2011; 896 Evans (ref_16) 2001; 50 Prithiviraj (ref_15) 2004; 110 Ray (ref_3) 2017; 87 Zhou (ref_42) 2011; 160 Dudareva (ref_7) 2006; 25 Wilson (ref_27) 2009; 9 Biondi (ref_18) 2014; 129 Peris (ref_26) 2009; 638 Spinelli (ref_37) 2012; 26 Stinson (ref_38) 2006; 116 Wilson (ref_48) 2013; 13 ref_21 Martinelli (ref_1) 2015; 35 Wilson (ref_11) 2004; 94 Harper (ref_46) 2000; 885 Spinelli (ref_36) 2010; 40 ref_29 ref_28 Henderson (ref_30) 2010; 70 Pallottino (ref_33) 2012; 92 Sankaran (ref_2) 2010; 72 Markom (ref_4) 2009; 66 Baietto (ref_13) 2013; 96 Vikram (ref_14) 2004; 84 Loutfi (ref_25) 2015; 144 ref_35 Blasioli (ref_19) 2014; 62 Cellini (ref_20) 2016; 168 Gallego (ref_45) 2010; 81 Pan (ref_34) 2014; 62 Li (ref_32) 2010; 55 Iqbal (ref_49) 2017; 8 ref_39 Li (ref_47) 2009; 54 Baietto (ref_24) 2015; 15 Williams (ref_53) 1999; 57 Laothawornkitkul (ref_31) 2008; 42 Cellini (ref_22) 2016; 30 Pardo (ref_23) 2004; 29 Tothill (ref_52) 2001; 30 Xu (ref_40) 2014; 14 Zhang (ref_41) 2007; 43 Ghaffari (ref_43) 2012; 119 Kushalappa (ref_17) 2002; 86 Spinelli (ref_8) 2006; 704 Baietto (ref_12) 2010; 10 Dettmer (ref_44) 2002; 373 Niinemets (ref_51) 2004; 9 ref_6 |
| References_xml | – volume: 144 start-page: 103 year: 2015 ident: ref_25 article-title: Electronic noses for food quality: A review publication-title: J. Food Eng. doi: 10.1016/j.jfoodeng.2014.07.019 – volume: 25 start-page: 417 year: 2006 ident: ref_7 article-title: Plant volatiles: Recent advances and future perspectives publication-title: Crit. Rev. Plant Sci. doi: 10.1080/07352680600899973 – volume: 50 start-page: 489 year: 2001 ident: ref_16 article-title: Gas chromatography-mass spectrometry analyses of volatile organic compounds from potato tubers inoculated with Phytophthora infestans or Fusarium coeruleum publication-title: Plant Pathol. doi: 10.1046/j.1365-3059.2001.00594.x – volume: 15 start-page: 899 year: 2015 ident: ref_24 article-title: Electronic-nose applications for fruit identification, ripeness and quality grading publication-title: Sensors doi: 10.3390/s150100899 – volume: 119 start-page: 200 year: 2012 ident: ref_43 article-title: Plant pest and disease diagnosis: Electronic nose and support vector machine approach publication-title: J. Plant Dis. Protect. doi: 10.1007/BF03356442 – volume: 35 start-page: 1 year: 2015 ident: ref_1 article-title: Advanced methods of plant disease detection. A review publication-title: Agron. Sustain. Dev. doi: 10.1007/s13593-014-0246-1 – ident: ref_35 doi: 10.1109/ICCSCE.2014.7072689 – volume: 62 start-page: 162 year: 2014 ident: ref_34 article-title: Early detection and classification of pathogenic fungal disease in post-harvest strawberry fruit by electronic nose and gas chromatography–mass spectrometry publication-title: Food Res. Int. doi: 10.1016/j.foodres.2014.02.020 – volume: 55 start-page: 144 year: 2010 ident: ref_32 article-title: Gas sensor array for blueberry fruit disease detection and classification publication-title: Postharvest Biol. Technol. doi: 10.1016/j.postharvbio.2009.11.004 – volume: 87 start-page: 708 year: 2017 ident: ref_3 article-title: Fungal disease detection in plants: Traditional assays, novel diagnostic techniques and biosensors publication-title: Biosens. Bioelectron. doi: 10.1016/j.bios.2016.09.032 – ident: ref_39 – volume: 42 start-page: 8433 year: 2008 ident: ref_31 article-title: Discrimination of plant volatile signatures by an electronic nose: A potential technology for plant pest and disease monitoring publication-title: Environ. Sci. Technol. doi: 10.1021/es801738s – volume: 896 start-page: 77 year: 2011 ident: ref_9 article-title: Volatile compounds produced by Erwinia amylovora and their potential exploitation for bacterial identification publication-title: Acta Hortic. doi: 10.17660/ActaHortic.2011.896.8 – volume: 704 start-page: 87 year: 2006 ident: ref_8 article-title: Near Infrared spectroscopy (NIRS): Perspective of fire blight detection in asymptomatic plant material publication-title: Acta Hortic. doi: 10.17660/ActaHortic.2006.704.9 – volume: 70 start-page: 157 year: 2010 ident: ref_30 article-title: Detecting stink bugs/damage in cotton utilizing a portable electronic nose publication-title: Comput. Electron. Agric. doi: 10.1016/j.compag.2009.09.019 – volume: 885 start-page: 129 year: 2000 ident: ref_46 article-title: Sorbent trapping of volatile organic compounds from air publication-title: J. Chromatogr. A doi: 10.1016/S0021-9673(00)00363-0 – volume: 638 start-page: 1 year: 2009 ident: ref_26 article-title: A 21st century technique for food control: Electronic noses publication-title: Anal. Chim. Acta doi: 10.1016/j.aca.2009.02.009 – volume: 29 start-page: 703 year: 2004 ident: ref_23 article-title: Electronic olfactory systems based on metal oxide semiconductor sensor arrays publication-title: MRS Bull. doi: 10.1557/mrs2004.206 – volume: 373 start-page: 490 year: 2002 ident: ref_44 article-title: Adsorbent materials commonly used in air analysis for adsorptive enrichment and thermal desorption of volatile organic compounds publication-title: Anal. Bioanal. Chem. doi: 10.1007/s00216-002-1352-5 – volume: 13 start-page: 2295 year: 2013 ident: ref_48 article-title: Diverse applications of electronic-nose technologies in agriculture and forestry publication-title: Sensors doi: 10.3390/s130202295 – volume: 116 start-page: 100 year: 2006 ident: ref_38 article-title: Generic system for the detection of statutory potato pathogens publication-title: Sens. Actuators B Chem. doi: 10.1016/j.snb.2005.12.061 – volume: 9 start-page: 5099 year: 2009 ident: ref_27 article-title: Applications and advances in electronic-nose technologies publication-title: Sensors doi: 10.3390/s90705099 – ident: ref_21 doi: 10.1186/s12864-016-2413-z – ident: ref_29 doi: 10.1371/journal.pone.0021026 – volume: 84 start-page: 1333 year: 2004 ident: ref_14 article-title: Volatile metabolite profiling to discriminate diseases of McIntosh apple inoculated with fungal pathogens publication-title: J. Sci. Food Agric. doi: 10.1002/jsfa.1828 – volume: 66 start-page: 140 year: 2009 ident: ref_4 article-title: Intelligent electronic nose system for basal stem rot disease detection publication-title: Comput. Electron. Agric. doi: 10.1016/j.compag.2009.01.006 – volume: 62 start-page: 337 year: 2014 ident: ref_19 article-title: Identification of volatile markers in potato brown rot and ring rot by combined GC-MS and PTR-MS techniques: Study on in vitro and in vivo samples publication-title: J. Agric. Food Chem. doi: 10.1021/jf403436t – volume: 43 start-page: 489 year: 2007 ident: ref_41 article-title: Detection of age and insect damage incurred by wheat, with an electronic nose publication-title: J. Stored Prod. Res. doi: 10.1016/j.jspr.2007.01.004 – volume: 72 start-page: 1 year: 2010 ident: ref_2 article-title: A review of advanced techniques for detecting plant diseases publication-title: Comput. Electron. Agric. doi: 10.1016/j.compag.2010.02.007 – volume: 160 start-page: 15 year: 2011 ident: ref_42 article-title: Use of electronic nose technology for identifying rice infestation by Nilaparvata lugens publication-title: Sens. Actuators B Chem. doi: 10.1016/j.snb.2011.07.002 – volume: 92 start-page: 2008 year: 2012 ident: ref_33 article-title: Electronic nose application for determination of Penicillium digitatum in Valencia oranges publication-title: J. Sci. Food Agric. doi: 10.1002/jsfa.5586 – volume: 26 start-page: 201 year: 2007 ident: ref_50 article-title: Deciphering the role of ethylene in plant–herbivore interactions publication-title: J. Plant Growth Regul. doi: 10.1007/s00344-007-0014-4 – ident: ref_28 – volume: 94 start-page: 419 year: 2004 ident: ref_11 article-title: Development of conductive polymer analysis for the rapid detection and identification of phytopathogenic microbes publication-title: Phytopathology doi: 10.1094/PHYTO.2004.94.5.419 – volume: 129 start-page: 422 year: 2014 ident: ref_18 article-title: Detection of potato brown rot and ring rot by electronic nose: From laboratory to real scale publication-title: Talanta doi: 10.1016/j.talanta.2014.04.057 – volume: 8 start-page: 475 year: 2017 ident: ref_49 article-title: Ethylene role in plant growth, development and senescence: Interaction with other phytohormones publication-title: Front. Plant Sci. doi: 10.3389/fpls.2017.00475 – volume: 1099 start-page: 347 year: 2015 ident: ref_5 article-title: Electronic nose for the early detection of red palm weevil (Rhynchophorus ferrugineous Olivier) infestation in palms: Preliminary results publication-title: Acta Hortic. doi: 10.17660/ActaHortic.2015.1099.40 – volume: 96 start-page: 117 year: 2013 ident: ref_13 article-title: Evaluation of a portable MOS electronic nose to detect root rots in shade tree species publication-title: Comput. Electron. Agric. doi: 10.1016/j.compag.2013.05.002 – volume: 168 start-page: 409 year: 2016 ident: ref_20 article-title: Early detection of bacterial diseases in apple plants by analysis of volatile organic compounds profiles and use of electronic nose publication-title: Ann. Appl. Biol. doi: 10.1111/aab.12272 – volume: 81 start-page: 916 year: 2010 ident: ref_45 article-title: Comparative study of the adsorption performance of a multi-sorbent bed (Carbotrap, Carbopack X, Carboxen 569) and a Tenax TA adsorbent tube for the analysis of volatile organic compounds (VOCs) publication-title: Talanta doi: 10.1016/j.talanta.2010.01.037 – volume: 30 start-page: 205 year: 2001 ident: ref_52 article-title: Biosensors developments and potential applications in the agricultural diagnosis sector publication-title: Comput. Electron. Agric. doi: 10.1016/S0168-1699(00)00165-4 – volume: 26 start-page: 141 year: 2012 ident: ref_37 article-title: Emission of volatile compounds by Erwinia amylovora biological activity in vitro and possible exploitation for bacterial identification publication-title: Trees doi: 10.1007/s00468-011-0667-2 – volume: 40 start-page: 59 year: 2010 ident: ref_36 article-title: Potential of the electronic-nose for the diagnosis of bacterial and fungal diseases in fruit trees publication-title: Bull. OEPP/EPPO Bull. doi: 10.1111/j.1365-2338.2009.02355.x – ident: ref_6 – volume: 86 start-page: 131 year: 2002 ident: ref_17 article-title: Volatile fingerprinting (SPME-GC FID) to detect and discriminate diseases of potato tubers publication-title: Plant Dis. doi: 10.1094/PDIS.2002.86.2.131 – volume: 10 start-page: 1062 year: 2010 ident: ref_12 article-title: Evaluation of three electronic noses for detecting incipient wood decay publication-title: Sensors doi: 10.3390/s100201062 – volume: 9 start-page: 180 year: 2004 ident: ref_51 article-title: Physiological and physicochemical controls on foliar volatile organic compound emissions publication-title: Trends Plant Sci. doi: 10.1016/j.tplants.2004.02.006 – volume: 54 start-page: 521 year: 2009 ident: ref_47 article-title: Progress in bionic information processing techniques for an electronic nose based on olfactory models publication-title: Chin. Sci. Bull. doi: 10.1007/s11434-008-0591-z – volume: 110 start-page: 371 year: 2004 ident: ref_15 article-title: Volatile metabolite profiling for the discrimination of onion bulbs infected by Erwinia carotovora ssp. carotovora, Fusarium oxysporum and Botrytis allii publication-title: Eur. J. Plant Pathol. doi: 10.1023/B:EJPP.0000021058.81491.f8 – volume: 14 start-page: 18114 year: 2014 ident: ref_40 article-title: Estimation of the age and amount of brown rice plant hoppers based on bionic electronic nose use publication-title: Sensors doi: 10.3390/s141018114 – volume: 57 start-page: 1 year: 1999 ident: ref_53 article-title: Semiconducting oxides as gas-sensitive resistors publication-title: Sens. Actuators B Chem. doi: 10.1016/S0925-4005(99)00133-1 – volume: 30 start-page: 795 year: 2016 ident: ref_22 article-title: Characterization of volatile organic compounds emitted by kiwifruit plants infected with Pseudomonas syringae pv. actinidiae and their effects on host defences publication-title: Trees doi: 10.1007/s00468-015-1321-1 – volume: 672 start-page: 20 year: 2010 ident: ref_10 article-title: Electronic nose as an innovative tool for the diagnosis of grapevine crown gall publication-title: Anal. Chim. Acta doi: 10.1016/j.aca.2010.02.017 |
| SSID | ssj0023338 |
| Score | 2.5026288 |
| SecondaryResourceType | review_article |
| Snippet | Electronic nose technology has recently been applied to the detection of several plant diseases and pests, with promising results. However, in spite of its... |
| SourceID | doaj pubmedcentral proquest pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | 2596 |
| SubjectTerms | e-nose Electronic Nose gas sampling Medical diagnosis Nose pest infestation Plant Diseases plant pathogen detection Plants relative humidity control Review sensor signal drift Smell VOCs |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1La9wwEB5KTumhJGmTOi-U0kMvJmtJtqRjXstSSOihgVyCkfWggWCXrvf_Z8b2Gm8I9JKTH5qDNBp7vvGMvwH4jk5RmYrbFKG8SqXHs0pLnQanRJF5KbSjjO7tXbG4lz8f8odJqy-qCevpgXvFnfMCAUzwVuZ5lDPpLEcAH2Iuo_TOqC5aR5-3DqaGUEtg5NXzCAkM6s-XmUJckRMz_8T7dCT9byHL1wWSE48z34FPA1RkF_0Ud-FDqPfg44RA8DM8_mpaKvchsUkmmtnas-7XpeG6iexm7HfD7pplYNehe0cwBK2MOhe17LrP1eCxq757Wn6B-_nN76tFOjRMSB1GuW2aBU89pczMcG1DiMIQ3bpxVeWj8gT2fK6jsYEbb43VzkfUoS1krp0z0Yh92KqbOnwF5rjDQMgYVHslZcVNVWjhEZxEi_pXLoEfa0WWblgNNbV4LjGqIJ2Xo84T-DaK_u0pNN4SuqTdGAWI9bq7gbZQDrZQ_s8WEjhe72U5PIrLMkOEq5XElSRwNg7jQ0SZEVuHZkUyBXXSnAmdwEG_9eNMuMkEFawmoDaMYmOqmyP105-OqDtX9JVPHb7H2o5gmxOioArE7Bi22n-rcIJ4qK1OO9N_Aa68CaY priority: 102 providerName: Directory of Open Access Journals – databaseName: ProQuest Technology Collection dbid: 8FG link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3Nb9UwDLdgXOCABgNWNlBAHLhUe03SJjkh9vGYkJh2YNIuqErzAZOmdqzd_4_d5pX30MSpXz44dhL_HLs2wAc0iso03OYI5VUuPd41Wuo8OCWqwkuhHUV0v51Vpxfy62V5mQ7c-pRWudoTx43ad47OyA8KBCpaSSPLTze_c-oaRdHV1ELjITwq0NJQSpdefpkdLoH-11RNSKBrf9AXCtFFSfX512zQWKr_Pnz5b5rkmt1ZbsPTBBjZ50nDz-BBaJ_Dk7Uygjvw47wbKOmHyNbi0cy2no0_MKXnLrKTuesNO-v6wI7DuFMwhK6M-hcN7HiK2OB1zMG76l_AxfLk-9Fpntom5A593SEvgqfOUmZhuLYhRGGo6LpxTeOj8gT5fKmjsYEbb43VzkfvjK1kqZ0z0YiXsNV2bdgF5rhDd8ig0MtGyoabptLCI0SJFt0o5TL4uBJk7dJoqLXFdY2-Bcm8nmWewfuZ9GYqpHEf0SFpYyag2tfji-72Z52WUs0rhLTBW2QqyoV0liMvIZYyShyHWmSwv9JlnRZkX_-dPhm8mz_jUqL4iG1Dd0c0FfXTXAidwatJ9TMn3BSC0lYzUBuTYoPVzS_t1a-xXHep6KxPvf4_W3vwmBNioAzDYh-2htu78AbxztC8HSf1HwgCAYw priority: 102 providerName: ProQuest |
| Title | Potential Applications and Limitations of Electronic Nose Devices for Plant Disease Diagnosis |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/29137109 https://www.proquest.com/docview/1977874945 https://www.proquest.com/docview/1964698038 https://pubmed.ncbi.nlm.nih.gov/PMC5712907 https://doaj.org/article/26916eda455f404ca2148ef54f4dc970 |
| Volume | 17 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lj9MwEB7t4wIHxJvAUhnEgUugcZzYPiDEsi0rpK1WiEq9oMjxA1ZaJdBmJfj3zCRp1KCKS55zGI_t-BvPZD6AV7goSl1yEyOUl7FweFUqoWJvZZonTqTKUkT3YpGfL8XnVbY6gC3HZm_AzV7XjvikluvrN79__XmPE_4deZzosr_dJBJRQ6bzQzjGBUkSkcGFGIIJPEU3rCsqNBYfLUVtxf59MPPfbMmd5Wd-F-70uJF96Dr6Hhz46j7c3qkm-AC-XdYN5f6Q2E5YmpnKsfY_pv6-Dmw2kN-wRb3x7My3HwyGCJYRjVHDzrrADZ7bVLyrzUNYzmdfP57HPXtCbNHlbeLEOyKY0lPNlfE-pJpqr2tbli5IR8jPZSpo47l2RhtlXXBWm1xkyloddPoIjqq68k-AWW7RK9JaZFkpRMl1mavUIVIJBr0paSN4vTVkYfvWEMPFdYEuBtm8GGwewctB9GdXT2Of0Cn1xiBAJbDbB_X6e9HPqILniGy9M6hUEFNhDUddfMhEENgOOY3gZNuXxXZYFQnCXSUFtiSCF8NrnFEUJjGVr29IJidazWmqInjcdf2gCddJStmrEcjRoBipOn5TXf1oq3Znkrb85NP_q_UMbnECDpRomJzAUbO-8c8R9jTlBA7lSuJRzT9N4Ph0trj8Mmm3ECbtcP8LuG0HQg |
| linkProvider | Scholars Portal |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB5V5QAcEG8CBQwCiUvUxHHi-IAQsF22tF1xaKVeUHD8gEooKU0qxJ_iNzKTF7uo4tbTPjwHxzMef5MZzwfwAg9FqUquQ4TyMhQWv5W5yENnZJLFViS5oYzuwTJbHImPx-nxBvwe78JQWeXoEztHbWtD78i3YwQquRRKpG9Of4TEGkXZ1ZFCozeLPffrJ4ZszevdGer3JefzncP3i3BgFQgNhoJtGDtLxEsqUjzXzvlEUU9yZcrSemkJEdk090o7rqxWOjfWW6N0JtLcGOWp-RK6_CsiwZOcbqbPP0wBXoLxXt-9CAej7SaWiGZS4gNYOfM6aoCL8Oy_ZZkr59z8JtwYACp721vULdhw1W24vtK28A58_lS3VGREYiv5b6Yry7oLU8Pv2rOdiWWHLevGsZnrPBNDqMyIL6llsz5DhJ9dzd9JcxeOLmVB78FmVVfuATDDDYZfCpWclkKUXJVZnliERF5j2CZNAK_GhSzM8DREpfG9wFiG1ryY1jyA55Poad-44yKhd6SNSYB6bXd_1Gdfi2HrFjxDCO2sxkl5EQmjOc7F-VR4gc8howC2Rl0WgwNoir_mGsCzaRi3LuVjdOXqc5LJiL8zSvIA7veqn2bCVZxQmWwAcs0o1qa6PlKdfOvag6eS3i3Kh_-f1lO4ujg82C_2d5d7j-AaJ7RC1Y3xFmy2Z-fuMWKttnzSGTiDL5e9o_4A_NZAHA |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEB5VqYTggHhjKLAgkLhYiddrr_eAECWJWgpRhKjUCzLrfdBKlV0aV4i_xq9jxi8SVHHrKQ_PYbwzO_uNZzwfwEs8FKUquA4RystQWPxWZCILnZFxGlkRZ4Yqup8W6d6h-HCUHG3B7_5dGGqr7GNiE6htZegZ-ThCoJJJoUQy9l1bxHI6f3v2IyQGKaq09nQarYscuF8_MX1bvdmfoq1fcT6ffXm_F3YMA6HBtLAOI2eJhElNFM-0cz5WNJ9cmaKwXlpCRzbJvNKOK6uVzoz11iidiiQzRnkaxIThf1tSVjSC7d3ZYvl5SPdizP7aWUZxrCbjVSQR2yTEDrB2AjZEAZeh23-bNNdOvfktuNnBVfau9a_bsOXKO3BjbYjhXfi6rGpqOSKxtWo406VlzetT3e_Ks9nAucMW1cqxqWviFEPgzIg9qWbTtl6En00H4MnqHhxeyZLeh1FZle4hMMMNJmMKTZ4UQhRcFWkWWwRIXmMSJ00Ar_uFzE13N0SscZpjZkNrng9rHsCLQfSsHeNxmdAuWWMQoMnbzR_V-fe828g5TxFQO6tRKS8mwmiOujifCC_wPuQkgJ3elnkXDlb5X-cN4PlwGTcyVWd06aoLkkmJzXMSZwE8aE0_aMJVFFPTbABywyk2VN28Up4cN8PCE0lPGuWj_6v1DK7hbso_7i8OHsN1TtCFWh2jHRjV5xfuCQKvunjaeTiDb1e9qf4A6RZFrg |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Potential+Applications+and+Limitations+of+Electronic+Nose+Devices+for+Plant+Disease+Diagnosis&rft.jtitle=Sensors+%28Basel%2C+Switzerland%29&rft.au=Cellini%2C+Antonio&rft.au=Blasioli%2C+Sonia&rft.au=Biondi%2C+Enrico&rft.au=Bertaccini%2C+Assunta&rft.date=2017-11-11&rft.pub=MDPI+AG&rft.eissn=1424-8220&rft.volume=17&rft.issue=11&rft.spage=2596&rft_id=info:doi/10.3390%2Fs17112596&rft.externalDBID=HAS_PDF_LINK |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1424-8220&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1424-8220&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1424-8220&client=summon |