Electrochemical platform for detecting Escherichia coli bacteria using machine learning methods
We present an electrochemical platform designed to reduce time of Escherichia coli bacteria detection from 24 to 48-h to 30 min. The presented approach is based on a system which includes gallium-indium (eGaIn) alloy to provide conductivity and a hydrogel system to preserve bacteria and their metabo...
Saved in:
| Published in: | Biosensors & bioelectronics Vol. 259; p. 116377 |
|---|---|
| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
Elsevier B.V
01-09-2024
|
| Subjects: | |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | We present an electrochemical platform designed to reduce time of Escherichia coli bacteria detection from 24 to 48-h to 30 min. The presented approach is based on a system which includes gallium-indium (eGaIn) alloy to provide conductivity and a hydrogel system to preserve bacteria and their metabolic species during the analysis. The work is dedicated to accurate and fast detection of Escherichia coli bacteria in different environments with the supply of machine learning methods. Electrochemical data obtained during the analysis is processed via multilayer perceptron model to identify i.e. predict bacterial concentration in the samples. The performed approach provides the effectiveness of bacteria identification in the range of 102–109 colony forming units per ml with the average accuracy of 97%. The proposed bioelectrochemical system combined with machine learning model is prospective for food analysis, agriculture, biomedicine.
•A combined approach with two-electrode cell based on eGaIn and hydrogel was proposed for quantitate determination of CFU Escherichia coli within its preservation during the analysis.•A neural network has been trained and tested to determine the number of CFU Escherichia coli based on cyclic voltammograms.•The proposed analysis is performed by a specially designed electrochemical platform. |
|---|---|
| AbstractList | We present an electrochemical platform designed to reduce time of Escherichia coli bacteria detection from 24 to 48-h to 30 min. The presented approach is based on a system which includes gallium-indium (eGaIn) alloy to provide conductivity and a hydrogel system to preserve bacteria and their metabolic species during the analysis. The work is dedicated to accurate and fast detection of Escherichia coli bacteria in different environments with the supply of machine learning methods. Electrochemical data obtained during the analysis is processed via multilayer perceptron model to identify i.e. predict bacterial concentration in the samples. The performed approach provides the effectiveness of bacteria identification in the range of 10
-10
colony forming units per ml with the average accuracy of 97%. The proposed bioelectrochemical system combined with machine learning model is prospective for food analysis, agriculture, biomedicine. We present an electrochemical platform designed to reduce time of Escherichia coli bacteria detection from 24 to 48-h to 30 min. The presented approach is based on a system which includes gallium-indium (eGaIn) alloy to provide conductivity and a hydrogel system to preserve bacteria and their metabolic species during the analysis. The work is dedicated to accurate and fast detection of Escherichia coli bacteria in different environments with the supply of machine learning methods. Electrochemical data obtained during the analysis is processed via multilayer perceptron model to identify i.e. predict bacterial concentration in the samples. The performed approach provides the effectiveness of bacteria identification in the range of 102–109 colony forming units per ml with the average accuracy of 97%. The proposed bioelectrochemical system combined with machine learning model is prospective for food analysis, agriculture, biomedicine. •A combined approach with two-electrode cell based on eGaIn and hydrogel was proposed for quantitate determination of CFU Escherichia coli within its preservation during the analysis.•A neural network has been trained and tested to determine the number of CFU Escherichia coli based on cyclic voltammograms.•The proposed analysis is performed by a specially designed electrochemical platform. We present an electrochemical platform designed to reduce time of Escherichia coli bacteria detection from 24 to 48-h to 30 min. The presented approach is based on a system which includes gallium-indium (eGaIn) alloy to provide conductivity and a hydrogel system to preserve bacteria and their metabolic species during the analysis. The work is dedicated to accurate and fast detection of Escherichia coli bacteria in different environments with the supply of machine learning methods. Electrochemical data obtained during the analysis is processed via multilayer perceptron model to identify i.e. predict bacterial concentration in the samples. The performed approach provides the effectiveness of bacteria identification in the range of 102-109 colony forming units per ml with the average accuracy of 97%. The proposed bioelectrochemical system combined with machine learning model is prospective for food analysis, agriculture, biomedicine.We present an electrochemical platform designed to reduce time of Escherichia coli bacteria detection from 24 to 48-h to 30 min. The presented approach is based on a system which includes gallium-indium (eGaIn) alloy to provide conductivity and a hydrogel system to preserve bacteria and their metabolic species during the analysis. The work is dedicated to accurate and fast detection of Escherichia coli bacteria in different environments with the supply of machine learning methods. Electrochemical data obtained during the analysis is processed via multilayer perceptron model to identify i.e. predict bacterial concentration in the samples. The performed approach provides the effectiveness of bacteria identification in the range of 102-109 colony forming units per ml with the average accuracy of 97%. The proposed bioelectrochemical system combined with machine learning model is prospective for food analysis, agriculture, biomedicine. |
| ArticleNumber | 116377 |
| Author | Skorb, Ekaterina V. Aliev, Timur A. Dyakonov, Alexandr V. Diveev, Daniil A. Lavrentev, Filipp V. Shilovskikh, Vladimir V. |
| Author_xml | – sequence: 1 givenname: Timur A. orcidid: 0000-0002-2878-7680 surname: Aliev fullname: Aliev, Timur A. organization: Infochemistry Scientific Center, ITMO University, 9 Lomonosova Street, Saint-Petersburg, 191002, Russia – sequence: 2 givenname: Filipp V. orcidid: 0000-0003-3006-1325 surname: Lavrentev fullname: Lavrentev, Filipp V. organization: Infochemistry Scientific Center, ITMO University, 9 Lomonosova Street, Saint-Petersburg, 191002, Russia – sequence: 3 givenname: Alexandr V. orcidid: 0009-0009-8627-2237 surname: Dyakonov fullname: Dyakonov, Alexandr V. organization: Infochemistry Scientific Center, ITMO University, 9 Lomonosova Street, Saint-Petersburg, 191002, Russia – sequence: 4 givenname: Daniil A. orcidid: 0009-0006-7394-1006 surname: Diveev fullname: Diveev, Daniil A. organization: Infochemistry Scientific Center, ITMO University, 9 Lomonosova Street, Saint-Petersburg, 191002, Russia – sequence: 5 givenname: Vladimir V. orcidid: 0000-0003-2326-700X surname: Shilovskikh fullname: Shilovskikh, Vladimir V. organization: Infochemistry Scientific Center, ITMO University, 9 Lomonosova Street, Saint-Petersburg, 191002, Russia – sequence: 6 givenname: Ekaterina V. orcidid: 0000-0003-0888-1693 surname: Skorb fullname: Skorb, Ekaterina V. email: skorb@itmo.ru organization: Infochemistry Scientific Center, ITMO University, 9 Lomonosova Street, Saint-Petersburg, 191002, Russia |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38776798$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kE1LwzAYx4NM3Jx-AQ_So5fWpGmbBLzImC8w8KLnkKZPXUbazKQT_Pamdnr0ksDzf-F5fudo1rseELoiOCOYVLe7rDYuZDnOi4yQijJ2ghaEM5oWOS1naIFFWaVlVdE5Og9hhzFmROAzNKecsYoJvkBybUEP3uktdEYrm-ytGlrnuyQ-SQNDVE3_nqxDdHijt0Yl2lmT1EoPcaCSQxj1TkWph8SC8v3PAIata8IFOm2VDXB5_Jfo7WH9unpKNy-Pz6v7TaopZkPaKExZrXnLRNyN09jesryKOzIKULSsLmpSFCwXhHJcCqWpaoWCghUNqzmnS3Qz9e69-zhAGGRnggZrVQ_uECSNobzkosyjNZ-s2rsQPLRy702n_JckWI5g5U6OYOUIVk5gY-j62H-oO2j-Ir8ko-FuMkC88tOAl0Eb6DU0xkeGsnHmv_5v9TCMcg |
| Cites_doi | 10.1016/j.snb.2010.03.083 10.1111/jam.13468 10.1039/D0NR08543J 10.1016/j.matlet.2016.06.008 10.1016/j.eclinm.2022.101781 10.3390/bios12020081 10.1088/0957-0233/9/1/016 10.1111/joim.12822 10.1016/j.apenergy.2019.114370 10.1038/nmeth.4549 10.1109/ACCESS.2018.2864665 10.1016/j.joule.2023.08.006 10.1039/c2lc21176a 10.1088/0957-4484/22/49/494007 10.1039/c2an35071h 10.3390/foods11162469 10.1016/j.biotechadv.2019.06.001 10.3390/ma13225210 10.1007/s11157-014-9354-2 10.1371/journal.pgen.1010842 10.1016/j.biomaterials.2007.07.044 10.1146/annurev.bioeng.8.061505.095802 10.1016/j.talanta.2016.10.050 10.1016/j.foodres.2005.05.006 10.1039/D2DD00132B 10.1002/adma.201202728 10.1016/j.foodcont.2022.108811 10.3390/ma11081384 10.1021/ac7023409 10.1002/adma.201606425 10.1039/D0CS01340D 10.3390/s20051279 10.1016/j.bios.2014.11.007 10.1016/j.mimet.2021.106403 10.3390/ijerph19031031 10.1021/acsami.3c12050 10.1021/acsabm.0c00954 10.1021/acs.jpclett.1c00007 10.1021/acs.jproteome.6b00618 10.1002/wsbm.1308 10.3390/molecules28155931 10.1021/acsami.1c22470 10.1021/acsnano.1c04206 10.1016/j.bdr.2015.04.001 10.1021/nl501126e |
| ContentType | Journal Article |
| Copyright | 2024 Copyright © 2024. Published by Elsevier B.V. |
| Copyright_xml | – notice: 2024 – notice: Copyright © 2024. Published by Elsevier B.V. |
| DBID | NPM AAYXX CITATION 7X8 |
| DOI | 10.1016/j.bios.2024.116377 |
| DatabaseName | PubMed CrossRef MEDLINE - Academic |
| DatabaseTitle | PubMed CrossRef MEDLINE - Academic |
| DatabaseTitleList | PubMed MEDLINE - Academic |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Biology |
| EISSN | 1873-4235 |
| ExternalDocumentID | 10_1016_j_bios_2024_116377 38776798 S0956566324003828 |
| Genre | Journal Article |
| GroupedDBID | --- --K --M .~1 0R~ 1B1 1RT 1~. 1~5 23N 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JM 9JN AABNK AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AARLI AAXUO ABGSF ABJNI ABMAC ABUDA ACDAQ ACGFS ACRLP ADBBV ADECG ADEZE ADTZH ADUVX AEBSH AECPX AEHWI AEKER AENEX AFKWA AFTJW AFXIZ AFZHZ AGHFR AGUBO AGYEJ AHJVU AIEXJ AIKHN AITUG AJOXV AJSZI AKRWK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BJAXD BKOJK BLXMC CS3 DU5 EBS EFJIC EO8 EO9 EP2 EP3 F5P FDB FIRID FLBIZ FNPLU FYGXN G-Q GBLVA IHE J1W JJJVA KOM MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 RIG ROL RPZ SCC SDF SDG SDP SES SEW SPC SPCBC SSK SST SSU SSZ T5K TN5 XPP Y6R YK3 ZMT ~G- ~KM AAHBH AAXKI AFJKZ LX3 M36 M41 NPM .HR 53G AAQXK AAYXX ABFNM ABXDB ACNNM ADMUD AFFNX AGRDE AHHHB AJQLL ASPBG AVWKF AZFZN CITATION EJD FEDTE FGOYB G-2 HLW HMU HVGLF HZ~ R2- SBG SCB SCH WUQ 7X8 |
| ID | FETCH-LOGICAL-c307t-da037bc8f7938783bacf72667973ee4f7b4b144729138059ac3af9ae474d7b883 |
| ISSN | 0956-5663 1873-4235 |
| IngestDate | Sat Oct 26 04:54:19 EDT 2024 Thu Sep 26 19:42:23 EDT 2024 Sat Nov 02 12:26:03 EDT 2024 Sat Jun 01 15:41:17 EDT 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Bacteria Hydrogels Electrochemical platform eGaIn Machine learning |
| Language | English |
| License | Copyright © 2024. Published by Elsevier B.V. |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c307t-da037bc8f7938783bacf72667973ee4f7b4b144729138059ac3af9ae474d7b883 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ORCID | 0000-0003-3006-1325 0009-0009-8627-2237 0000-0003-0888-1693 0000-0002-2878-7680 0000-0003-2326-700X 0009-0006-7394-1006 |
| PMID | 38776798 |
| PQID | 3059258952 |
| PQPubID | 23479 |
| ParticipantIDs | proquest_miscellaneous_3059258952 crossref_primary_10_1016_j_bios_2024_116377 pubmed_primary_38776798 elsevier_sciencedirect_doi_10_1016_j_bios_2024_116377 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-09-01 |
| PublicationDateYYYYMMDD | 2024-09-01 |
| PublicationDate_xml | – month: 09 year: 2024 text: 2024-09-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | England |
| PublicationPlace_xml | – name: England |
| PublicationTitle | Biosensors & bioelectronics |
| PublicationTitleAlternate | Biosens Bioelectron |
| PublicationYear | 2024 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Mouhib, Reggente, Li, Schuergers, Boghossian (bib36) 2023; 7 Liu, Sweatman, McDonald, Nogita (bib34) 2018; 11 Ghernaout, Elboughdiri, Lajimi (bib19) 2022 Xiao, Gwak, Seo (bib49) 2020; 13 Prisa, Guerrini (bib39) 2022; vol. 12 El-Moghazy, Wisuthiphaet, Yang, Sun, Nitin (bib15) 2022; 135 Ivanov, Nikolaev, Stekolshchikova, Tesfatsion, Yurchenko, Novoselov, Andreeva, Rubtsova, Vorovitch, Ishmukhametov, Egorov, Skorb (bib24) 2020; 3 Xu, Chen, Fang, Wu (bib52) 2022; 11 Burgaya, Marin, Royer, Condamine, Gachet, Clermont, Jaureguy, Burdet, Lefort, de Lastours, Denamur, Galardini, Blanquart (bib8) 2023; 19 Ariffin, Heng, Tan, Karim, Hasbullah (bib4) 2020; 20 Lavrentev, Rumyantsev, Ivanov, Shilovskikh, Orlova, Nikolaev, Andreeva, Skorb (bib31) 2022; 14 Sargolzaeiaval, Ramesh, Neumann, Misra, Vashaee, Dickey, Öztürk (bib42) 2020; 262 Vogt (bib45) 2018; 15 Chen, Cai, Chen, Lin, Pang, Tang (bib9) 2015; 66 Epstein, Hochbaum, Kim, Aizenberg (bib16) 2011; 22 Biggs, Medlock, Kolling, Papin (bib5) 2015; 7 Daneman, Fridman, Johnstone, Langford, Lee, MacFadden, Mponponsuo, Patel, Schwartz, Brown (bib11) 2023; 56 Zhao, Soni, Lee, Nijhuis, Xiang (bib56) 2023; 35 Stoyanov, Kollosche, Risse, Waché, Kofod (bib43) 2013; 25 Xu, Wang, Li (bib50) 2017; 162 Al-Jarrah, Yoo, Muhaidat, Karagiannidis, Taha (bib2) 2015; 2 Zhao, Li, Cao, Zhang, Chen, Song, Wang (bib55) 2021; 53 Jia, Fan, Zhang, Zhu, Gai, Yin, Yang (bib28) 2022; 18 Jang, Hur, Sadowsky, Byappanahalli, Yan, Ishii (bib27) 2017; 123 Huang, Chen, Chung, Yin, Yoon (bib23) 2021; 50 Kumar, Shetti, Jagannath, Aminabhavi (bib30) 2022; 430 Wen, Zhang, Niu, Sha, Yang, Yun, Lu (bib47) 2017; 16 Winder, Dunn, Schuler, Broadhurst, Jarvis, Stephens, Goodacre (bib48) 2008; 80 Nenashkina, Koltsov, Orlova, Nikitina, Kirilenko, Andreeva, Blanco-Formoso, Pazos-Perez, Alvarez-Puebla, Skorb (bib37) 2021; 13 Xu, Han, Gu, Wu (bib51) 2020; 9 Maukonen, Alakomi, Nohynek, Hallamaa, Leppämäki, Mättö, Saarela (bib35) 2006; 39 Dickey (bib13) 2017; 29 Kopeček (bib29) 2007; 28 Orlova, Piven, Darmoroz, Aliev, Razik, Boitsev, Grafeeva, Skorb (bib38) 2023; 2 Rosales-Colunga, De León Rodríguez (bib40) 2014; 14 Sajda (bib41) 2006; 8 Al-Awwal, Masjedi, El-Dweik, Anderson, Ansari (bib1) 2022; 193 Aliev, Belyaev, Pomytkina, Nesterov, Shityakov, Sadovnichii, Novikov, Orlova, Masalovich, Skorb (bib3) 2023; 15 Deligkaris, Tadele, Olthuis, van den Berg (bib12) 2010; 147 Zhu, Sikora, Ozcan (bib57) 2012; 137 Thuc, Huy, Hoang, Tien, Chung, Thuy, Le (bib44) 2016; 181 Janet, Kulik (bib26) 2020 Divya, Kumari, Mahapatra, Kumar, Chandra (bib14) 2022; 12 Liang, He, Guo (bib33) 2021; 15 Gardner, Craven, Dow, Hines (bib18) 1998; 9 Ivanov, Nikolaev, Novikov, Yurchenko, Novoselov, Andreeva, Skorb (bib25) 2021; 12 Cheng, Wu (bib10) 2012; 12 Huang, Clayton, Matyunina, McDonald, Benigno, Vannberg, McDonald (bib22) 2018; 8 Zhao, Zhang, Li (bib54) 2019; 37 Bowers, Liao, Yoon, Rappoport, Baghbanzadeh, Simeone, Whitesides (bib7) 2014; 14 Wang, Li, Tang, Liu, Ruan, Ma, Yang, Wang, Zhi (bib46) 2018; 28 Gong, Yap, Zhu, Cheng (bib20) 2020; 32 Yavuz, Yurtay, Ozkan (bib53) 2018; 6 Boukharouba, González, García-Ferrús, Ferrús, Botella (bib6) 2022; 19 Handelman, Kok, Chandra, Razavi, Lee, Asadi (bib21) 2018; 284 Feng, Dehua, Jiamiao, Yi, K, Shaoling (bib17) 2022; 11 Lavrentev, Shilovskikh, Alabusheva, Yurova, Nikitina, Ulasevich, Skorb (bib32) 2023; 28 Ariffin (10.1016/j.bios.2024.116377_bib4) 2020; 20 Sajda (10.1016/j.bios.2024.116377_bib41) 2006; 8 Huang (10.1016/j.bios.2024.116377_bib22) 2018; 8 Liang (10.1016/j.bios.2024.116377_bib33) 2021; 15 Ivanov (10.1016/j.bios.2024.116377_bib24) 2020; 3 Liu (10.1016/j.bios.2024.116377_bib34) 2018; 11 Wen (10.1016/j.bios.2024.116377_bib47) 2017; 16 Divya (10.1016/j.bios.2024.116377_bib14) 2022; 12 Cheng (10.1016/j.bios.2024.116377_bib10) 2012; 12 Burgaya (10.1016/j.bios.2024.116377_bib8) 2023; 19 Thuc (10.1016/j.bios.2024.116377_bib44) 2016; 181 Stoyanov (10.1016/j.bios.2024.116377_bib43) 2013; 25 Feng (10.1016/j.bios.2024.116377_bib17) 2022; 11 Handelman (10.1016/j.bios.2024.116377_bib21) 2018; 284 Rosales-Colunga (10.1016/j.bios.2024.116377_bib40) 2014; 14 Al-Jarrah (10.1016/j.bios.2024.116377_bib2) 2015; 2 Lavrentev (10.1016/j.bios.2024.116377_bib32) 2023; 28 Zhao (10.1016/j.bios.2024.116377_bib54) 2019; 37 Aliev (10.1016/j.bios.2024.116377_bib3) 2023; 15 Daneman (10.1016/j.bios.2024.116377_bib11) 2023; 56 Bowers (10.1016/j.bios.2024.116377_bib7) 2014; 14 Epstein (10.1016/j.bios.2024.116377_bib16) 2011; 22 Xu (10.1016/j.bios.2024.116377_bib51) 2020; 9 Zhu (10.1016/j.bios.2024.116377_bib57) 2012; 137 Huang (10.1016/j.bios.2024.116377_bib23) 2021; 50 Prisa (10.1016/j.bios.2024.116377_bib39) 2022; vol. 12 Gong (10.1016/j.bios.2024.116377_bib20) 2020; 32 Wang (10.1016/j.bios.2024.116377_bib46) 2018; 28 Nenashkina (10.1016/j.bios.2024.116377_bib37) 2021; 13 Al-Awwal (10.1016/j.bios.2024.116377_bib1) 2022; 193 Xiao (10.1016/j.bios.2024.116377_bib49) 2020; 13 Ghernaout (10.1016/j.bios.2024.116377_bib19) 2022 Mouhib (10.1016/j.bios.2024.116377_bib36) 2023; 7 Jang (10.1016/j.bios.2024.116377_bib27) 2017; 123 Kopeček (10.1016/j.bios.2024.116377_bib29) 2007; 28 Zhao (10.1016/j.bios.2024.116377_bib55) 2021; 53 Vogt (10.1016/j.bios.2024.116377_bib45) 2018; 15 Xu (10.1016/j.bios.2024.116377_bib52) 2022; 11 Jia (10.1016/j.bios.2024.116377_bib28) 2022; 18 Gardner (10.1016/j.bios.2024.116377_bib18) 1998; 9 Maukonen (10.1016/j.bios.2024.116377_bib35) 2006; 39 Janet (10.1016/j.bios.2024.116377_bib26) 2020 Xu (10.1016/j.bios.2024.116377_bib50) 2017; 162 El-Moghazy (10.1016/j.bios.2024.116377_bib15) 2022; 135 Deligkaris (10.1016/j.bios.2024.116377_bib12) 2010; 147 Zhao (10.1016/j.bios.2024.116377_bib56) 2023; 35 Yavuz (10.1016/j.bios.2024.116377_bib53) 2018; 6 Biggs (10.1016/j.bios.2024.116377_bib5) 2015; 7 Chen (10.1016/j.bios.2024.116377_bib9) 2015; 66 Ivanov (10.1016/j.bios.2024.116377_bib25) 2021; 12 Lavrentev (10.1016/j.bios.2024.116377_bib31) 2022; 14 Dickey (10.1016/j.bios.2024.116377_bib13) 2017; 29 Orlova (10.1016/j.bios.2024.116377_bib38) 2023; 2 Kumar (10.1016/j.bios.2024.116377_bib30) 2022; 430 Winder (10.1016/j.bios.2024.116377_bib48) 2008; 80 Boukharouba (10.1016/j.bios.2024.116377_bib6) 2022; 19 Sargolzaeiaval (10.1016/j.bios.2024.116377_bib42) 2020; 262 |
| References_xml | – volume: 7 start-page: 2092 year: 2023 end-page: 2106 ident: bib36 publication-title: Joule contributor: fullname: Boghossian – volume: 135 year: 2022 ident: bib15 publication-title: Food Control contributor: fullname: Nitin – volume: 14 start-page: 123 year: 2014 end-page: 135 ident: bib40 publication-title: Rev. Environ. Sci. Biotechnol. contributor: fullname: De León Rodríguez – start-page: 1 year: 2022 end-page: 28 ident: bib19 article-title: OALib 09 contributor: fullname: Lajimi – volume: 12 start-page: 2017 year: 2021 end-page: 2022 ident: bib25 publication-title: J. Phys. Chem. Lett. contributor: fullname: Skorb – volume: 6 start-page: 45256 year: 2018 end-page: 45261 ident: bib53 publication-title: IEEE Access contributor: fullname: Ozkan – volume: 19 start-page: 1031 year: 2022 ident: bib6 publication-title: Int. J. Environ. Res. Publ. Health contributor: fullname: Botella – volume: 11 year: 2022 ident: bib52 publication-title: Adv. Healthcare Mater. contributor: fullname: Wu – volume: 11 start-page: 2469 year: 2022 ident: bib17 publication-title: Foods contributor: fullname: Shaoling – volume: 66 start-page: 95 year: 2015 end-page: 102 ident: bib9 publication-title: Biosens. Bioelectron. contributor: fullname: Tang – volume: 193 year: 2022 ident: bib1 publication-title: J. Microbiol. Methods contributor: fullname: Ansari – volume: 147 start-page: 765 year: 2010 end-page: 774 ident: bib12 publication-title: Sensor. Actuator. B Chem. contributor: fullname: van den Berg – volume: 16 start-page: 1401 year: 2017 end-page: 1409 ident: bib47 publication-title: J. Proteome Res. contributor: fullname: Lu – volume: 35 year: 2023 ident: bib56 publication-title: Adv. Mater. contributor: fullname: Xiang – volume: 162 start-page: 511 year: 2017 end-page: 522 ident: bib50 publication-title: Talanta contributor: fullname: Li – volume: vol. 12 start-page: 26 year: 2022 end-page: 32 ident: bib39 publication-title: GSC Advanced Research and Reviews contributor: fullname: Guerrini – volume: 14 start-page: 3521 year: 2014 end-page: 3526 ident: bib7 publication-title: Nano Lett. contributor: fullname: Whitesides – volume: 13 start-page: 7375 year: 2021 end-page: 7380 ident: bib37 publication-title: Nanoscale contributor: fullname: Skorb – volume: 430 year: 2022 ident: bib30 publication-title: Chem. Eng. J. contributor: fullname: Aminabhavi – volume: 29 year: 2017 ident: bib13 publication-title: Adv. Mater. contributor: fullname: Dickey – volume: 18 year: 2022 ident: bib28 publication-title: Small contributor: fullname: Yang – volume: 137 start-page: 2541 year: 2012 ident: bib57 publication-title: The Analyst contributor: fullname: Ozcan – volume: 50 start-page: 7725 year: 2021 end-page: 7744 ident: bib23 publication-title: Chem. Soc. Rev. contributor: fullname: Yoon – volume: 53 year: 2021 ident: bib55 publication-title: Biotechnol. Adv. contributor: fullname: Wang – volume: 9 year: 2020 ident: bib51 publication-title: Adv. Healthcare Mater. contributor: fullname: Wu – volume: 181 start-page: 173 year: 2016 end-page: 177 ident: bib44 publication-title: Mater. Lett. contributor: fullname: Le – volume: 284 start-page: 603 year: 2018 end-page: 619 ident: bib21 publication-title: J. Intern. Med. contributor: fullname: Asadi – volume: 14 start-page: 7321 year: 2022 end-page: 7328 ident: bib31 publication-title: ACS Appl. Mater. Interfaces contributor: fullname: Skorb – volume: 9 start-page: 120 year: 1998 end-page: 127 ident: bib18 publication-title: Meas. Sci. Technol. contributor: fullname: Hines – volume: 15 start-page: 12687 year: 2021 end-page: 12722 ident: bib33 publication-title: ACS Nano contributor: fullname: Guo – volume: 25 start-page: 578 year: 2013 end-page: 583 ident: bib43 publication-title: Adv. Mater. contributor: fullname: Kofod – volume: 2 start-page: 87 year: 2015 end-page: 93 ident: bib2 publication-title: Big Data Research contributor: fullname: Taha – volume: 80 start-page: 2939 year: 2008 end-page: 2948 ident: bib48 publication-title: Anal. Chem. contributor: fullname: Goodacre – volume: 28 start-page: 5185 year: 2007 end-page: 5192 ident: bib29 publication-title: Biomaterials contributor: fullname: Kopeček – volume: 56 year: 2023 ident: bib11 publication-title: eClinicalMedicine contributor: fullname: Brown – volume: 19 year: 2023 ident: bib8 article-title: The bacterial genetic determinants of Escherichia coli capacity to cause bloodstream infections in humans publication-title: PLoS Genet contributor: fullname: Blanquart – volume: 123 start-page: 570 year: 2017 end-page: 581 ident: bib27 publication-title: J. Appl. Microbiol. contributor: fullname: Ishii – volume: 262 year: 2020 ident: bib42 publication-title: Appl. Energy contributor: fullname: Öztürk – volume: 3 start-page: 7352 year: 2020 end-page: 7356 ident: bib24 publication-title: ACS Appl. Bio Mater. contributor: fullname: Skorb – volume: 39 start-page: 22 year: 2006 end-page: 32 ident: bib35 publication-title: Food Res. Int. contributor: fullname: Saarela – volume: 22 year: 2011 ident: bib16 publication-title: Nanotechnology contributor: fullname: Aizenberg – year: 2020 ident: bib26 article-title: Machine learning in chemistry publication-title: Am. Chem. Soc. contributor: fullname: Kulik – volume: 15 start-page: 33 year: 2018 ident: bib45 publication-title: Nat. Methods contributor: fullname: Vogt – volume: 7 start-page: 317 year: 2015 end-page: 334 ident: bib5 publication-title: WIREs Systems Biology and Medicine contributor: fullname: Papin – volume: 12 start-page: 2782 year: 2012 ident: bib10 publication-title: Lab Chip contributor: fullname: Wu – volume: 37 year: 2019 ident: bib54 publication-title: Biotechnol. Adv. contributor: fullname: Li – volume: 13 start-page: 5210 year: 2020 ident: bib49 publication-title: Materials contributor: fullname: Seo – volume: 11 start-page: 1384 year: 2018 ident: bib34 publication-title: Materials contributor: fullname: Nogita – volume: 12 start-page: 81 year: 2022 ident: bib14 publication-title: Biosensors contributor: fullname: Chandra – volume: 20 start-page: 1279 year: 2020 ident: bib4 publication-title: Sensors contributor: fullname: Hasbullah – volume: 2 start-page: 298 year: 2023 end-page: 315 ident: bib38 publication-title: Digital Discovery contributor: fullname: Skorb – volume: 15 start-page: 52010 year: 2023 end-page: 52020 ident: bib3 publication-title: ACS Appl. Mater. Interfaces contributor: fullname: Skorb – volume: 8 year: 2018 ident: bib22 publication-title: Sci. Rep. contributor: fullname: McDonald – volume: 28 start-page: 5931 year: 2023 ident: bib32 publication-title: Molecules contributor: fullname: Skorb – volume: 8 start-page: 537 year: 2006 end-page: 565 ident: bib41 publication-title: Annu. Rev. Biomed. Eng. contributor: fullname: Sajda – volume: 32 year: 2020 ident: bib20 publication-title: Adv. Mater. contributor: fullname: Cheng – volume: 28 year: 2018 ident: bib46 publication-title: Adv. Funct. Mater. contributor: fullname: Zhi – volume: 147 start-page: 765 year: 2010 ident: 10.1016/j.bios.2024.116377_bib12 publication-title: Sensor. Actuator. B Chem. doi: 10.1016/j.snb.2010.03.083 contributor: fullname: Deligkaris – volume: 123 start-page: 570 year: 2017 ident: 10.1016/j.bios.2024.116377_bib27 publication-title: J. Appl. Microbiol. doi: 10.1111/jam.13468 contributor: fullname: Jang – volume: 13 start-page: 7375 year: 2021 ident: 10.1016/j.bios.2024.116377_bib37 publication-title: Nanoscale doi: 10.1039/D0NR08543J contributor: fullname: Nenashkina – volume: 181 start-page: 173 year: 2016 ident: 10.1016/j.bios.2024.116377_bib44 publication-title: Mater. Lett. doi: 10.1016/j.matlet.2016.06.008 contributor: fullname: Thuc – volume: 56 year: 2023 ident: 10.1016/j.bios.2024.116377_bib11 publication-title: eClinicalMedicine doi: 10.1016/j.eclinm.2022.101781 contributor: fullname: Daneman – volume: 12 start-page: 81 year: 2022 ident: 10.1016/j.bios.2024.116377_bib14 publication-title: Biosensors doi: 10.3390/bios12020081 contributor: fullname: Divya – volume: 9 start-page: 120 year: 1998 ident: 10.1016/j.bios.2024.116377_bib18 publication-title: Meas. Sci. Technol. doi: 10.1088/0957-0233/9/1/016 contributor: fullname: Gardner – volume: 284 start-page: 603 year: 2018 ident: 10.1016/j.bios.2024.116377_bib21 publication-title: J. Intern. Med. doi: 10.1111/joim.12822 contributor: fullname: Handelman – volume: 262 year: 2020 ident: 10.1016/j.bios.2024.116377_bib42 publication-title: Appl. Energy doi: 10.1016/j.apenergy.2019.114370 contributor: fullname: Sargolzaeiaval – volume: 15 start-page: 33 year: 2018 ident: 10.1016/j.bios.2024.116377_bib45 publication-title: Nat. Methods doi: 10.1038/nmeth.4549 contributor: fullname: Vogt – volume: 6 start-page: 45256 year: 2018 ident: 10.1016/j.bios.2024.116377_bib53 publication-title: IEEE Access doi: 10.1109/ACCESS.2018.2864665 contributor: fullname: Yavuz – volume: 9 year: 2020 ident: 10.1016/j.bios.2024.116377_bib51 publication-title: Adv. Healthcare Mater. contributor: fullname: Xu – year: 2020 ident: 10.1016/j.bios.2024.116377_bib26 article-title: Machine learning in chemistry publication-title: Am. Chem. Soc. contributor: fullname: Janet – volume: 7 start-page: 2092 year: 2023 ident: 10.1016/j.bios.2024.116377_bib36 publication-title: Joule doi: 10.1016/j.joule.2023.08.006 contributor: fullname: Mouhib – volume: 12 start-page: 2782 year: 2012 ident: 10.1016/j.bios.2024.116377_bib10 publication-title: Lab Chip doi: 10.1039/c2lc21176a contributor: fullname: Cheng – volume: 22 year: 2011 ident: 10.1016/j.bios.2024.116377_bib16 publication-title: Nanotechnology doi: 10.1088/0957-4484/22/49/494007 contributor: fullname: Epstein – volume: 137 start-page: 2541 year: 2012 ident: 10.1016/j.bios.2024.116377_bib57 publication-title: The Analyst doi: 10.1039/c2an35071h contributor: fullname: Zhu – volume: 11 start-page: 2469 year: 2022 ident: 10.1016/j.bios.2024.116377_bib17 publication-title: Foods doi: 10.3390/foods11162469 contributor: fullname: Feng – volume: 53 year: 2021 ident: 10.1016/j.bios.2024.116377_bib55 publication-title: Biotechnol. Adv. contributor: fullname: Zhao – volume: 37 year: 2019 ident: 10.1016/j.bios.2024.116377_bib54 publication-title: Biotechnol. Adv. doi: 10.1016/j.biotechadv.2019.06.001 contributor: fullname: Zhao – volume: 13 start-page: 5210 year: 2020 ident: 10.1016/j.bios.2024.116377_bib49 publication-title: Materials doi: 10.3390/ma13225210 contributor: fullname: Xiao – volume: 14 start-page: 123 year: 2014 ident: 10.1016/j.bios.2024.116377_bib40 publication-title: Rev. Environ. Sci. Biotechnol. doi: 10.1007/s11157-014-9354-2 contributor: fullname: Rosales-Colunga – volume: 19 year: 2023 ident: 10.1016/j.bios.2024.116377_bib8 article-title: The bacterial genetic determinants of Escherichia coli capacity to cause bloodstream infections in humans publication-title: PLoS Genet doi: 10.1371/journal.pgen.1010842 contributor: fullname: Burgaya – volume: 28 start-page: 5185 year: 2007 ident: 10.1016/j.bios.2024.116377_bib29 publication-title: Biomaterials doi: 10.1016/j.biomaterials.2007.07.044 contributor: fullname: Kopeček – volume: 8 start-page: 537 year: 2006 ident: 10.1016/j.bios.2024.116377_bib41 publication-title: Annu. Rev. Biomed. Eng. doi: 10.1146/annurev.bioeng.8.061505.095802 contributor: fullname: Sajda – volume: 162 start-page: 511 year: 2017 ident: 10.1016/j.bios.2024.116377_bib50 publication-title: Talanta doi: 10.1016/j.talanta.2016.10.050 contributor: fullname: Xu – volume: 430 year: 2022 ident: 10.1016/j.bios.2024.116377_bib30 publication-title: Chem. Eng. J. contributor: fullname: Kumar – volume: 39 start-page: 22 year: 2006 ident: 10.1016/j.bios.2024.116377_bib35 publication-title: Food Res. Int. doi: 10.1016/j.foodres.2005.05.006 contributor: fullname: Maukonen – volume: 2 start-page: 298 year: 2023 ident: 10.1016/j.bios.2024.116377_bib38 publication-title: Digital Discovery doi: 10.1039/D2DD00132B contributor: fullname: Orlova – volume: 25 start-page: 578 year: 2013 ident: 10.1016/j.bios.2024.116377_bib43 publication-title: Adv. Mater. doi: 10.1002/adma.201202728 contributor: fullname: Stoyanov – volume: 135 year: 2022 ident: 10.1016/j.bios.2024.116377_bib15 publication-title: Food Control doi: 10.1016/j.foodcont.2022.108811 contributor: fullname: El-Moghazy – volume: 11 start-page: 1384 year: 2018 ident: 10.1016/j.bios.2024.116377_bib34 publication-title: Materials doi: 10.3390/ma11081384 contributor: fullname: Liu – volume: 80 start-page: 2939 year: 2008 ident: 10.1016/j.bios.2024.116377_bib48 publication-title: Anal. Chem. doi: 10.1021/ac7023409 contributor: fullname: Winder – volume: 29 year: 2017 ident: 10.1016/j.bios.2024.116377_bib13 publication-title: Adv. Mater. doi: 10.1002/adma.201606425 contributor: fullname: Dickey – volume: 50 start-page: 7725 year: 2021 ident: 10.1016/j.bios.2024.116377_bib23 publication-title: Chem. Soc. Rev. doi: 10.1039/D0CS01340D contributor: fullname: Huang – volume: 18 year: 2022 ident: 10.1016/j.bios.2024.116377_bib28 publication-title: Small contributor: fullname: Jia – volume: 20 start-page: 1279 year: 2020 ident: 10.1016/j.bios.2024.116377_bib4 publication-title: Sensors doi: 10.3390/s20051279 contributor: fullname: Ariffin – volume: 66 start-page: 95 year: 2015 ident: 10.1016/j.bios.2024.116377_bib9 publication-title: Biosens. Bioelectron. doi: 10.1016/j.bios.2014.11.007 contributor: fullname: Chen – volume: 193 year: 2022 ident: 10.1016/j.bios.2024.116377_bib1 publication-title: J. Microbiol. Methods doi: 10.1016/j.mimet.2021.106403 contributor: fullname: Al-Awwal – volume: 19 start-page: 1031 year: 2022 ident: 10.1016/j.bios.2024.116377_bib6 publication-title: Int. J. Environ. Res. Publ. Health doi: 10.3390/ijerph19031031 contributor: fullname: Boukharouba – volume: 15 start-page: 52010 year: 2023 ident: 10.1016/j.bios.2024.116377_bib3 publication-title: ACS Appl. Mater. Interfaces doi: 10.1021/acsami.3c12050 contributor: fullname: Aliev – volume: 3 start-page: 7352 year: 2020 ident: 10.1016/j.bios.2024.116377_bib24 publication-title: ACS Appl. Bio Mater. doi: 10.1021/acsabm.0c00954 contributor: fullname: Ivanov – volume: 12 start-page: 2017 year: 2021 ident: 10.1016/j.bios.2024.116377_bib25 publication-title: J. Phys. Chem. Lett. doi: 10.1021/acs.jpclett.1c00007 contributor: fullname: Ivanov – volume: 32 year: 2020 ident: 10.1016/j.bios.2024.116377_bib20 publication-title: Adv. Mater. contributor: fullname: Gong – volume: 16 start-page: 1401 year: 2017 ident: 10.1016/j.bios.2024.116377_bib47 publication-title: J. Proteome Res. doi: 10.1021/acs.jproteome.6b00618 contributor: fullname: Wen – volume: 7 start-page: 317 year: 2015 ident: 10.1016/j.bios.2024.116377_bib5 publication-title: WIREs Systems Biology and Medicine doi: 10.1002/wsbm.1308 contributor: fullname: Biggs – volume: 28 start-page: 5931 year: 2023 ident: 10.1016/j.bios.2024.116377_bib32 publication-title: Molecules doi: 10.3390/molecules28155931 contributor: fullname: Lavrentev – volume: 28 year: 2018 ident: 10.1016/j.bios.2024.116377_bib46 publication-title: Adv. Funct. Mater. contributor: fullname: Wang – volume: 14 start-page: 7321 year: 2022 ident: 10.1016/j.bios.2024.116377_bib31 publication-title: ACS Appl. Mater. Interfaces doi: 10.1021/acsami.1c22470 contributor: fullname: Lavrentev – volume: 15 start-page: 12687 year: 2021 ident: 10.1016/j.bios.2024.116377_bib33 publication-title: ACS Nano doi: 10.1021/acsnano.1c04206 contributor: fullname: Liang – volume: 2 start-page: 87 year: 2015 ident: 10.1016/j.bios.2024.116377_bib2 publication-title: Big Data Research doi: 10.1016/j.bdr.2015.04.001 contributor: fullname: Al-Jarrah – volume: 8 year: 2018 ident: 10.1016/j.bios.2024.116377_bib22 publication-title: Sci. Rep. contributor: fullname: Huang – start-page: 1 year: 2022 ident: 10.1016/j.bios.2024.116377_bib19 contributor: fullname: Ghernaout – volume: vol. 12 start-page: 26 year: 2022 ident: 10.1016/j.bios.2024.116377_bib39 contributor: fullname: Prisa – volume: 11 year: 2022 ident: 10.1016/j.bios.2024.116377_bib52 publication-title: Adv. Healthcare Mater. contributor: fullname: Xu – volume: 35 year: 2023 ident: 10.1016/j.bios.2024.116377_bib56 publication-title: Adv. Mater. contributor: fullname: Zhao – volume: 14 start-page: 3521 year: 2014 ident: 10.1016/j.bios.2024.116377_bib7 publication-title: Nano Lett. doi: 10.1021/nl501126e contributor: fullname: Bowers |
| SSID | ssj0007190 |
| Score | 2.5001593 |
| Snippet | We present an electrochemical platform designed to reduce time of Escherichia coli bacteria detection from 24 to 48-h to 30 min. The presented approach is... We present an electrochemical platform designed to reduce time of Escherichia coli bacteria detection from 24 to 48-h to 30 min. The presented approach is... |
| SourceID | proquest crossref pubmed elsevier |
| SourceType | Aggregation Database Index Database Publisher |
| StartPage | 116377 |
| SubjectTerms | Bacteria eGaIn Electrochemical platform Hydrogels Machine learning |
| Title | Electrochemical platform for detecting Escherichia coli bacteria using machine learning methods |
| URI | https://dx.doi.org/10.1016/j.bios.2024.116377 https://www.ncbi.nlm.nih.gov/pubmed/38776798 https://www.proquest.com/docview/3059258952 |
| Volume | 259 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1La9wwEBabhEJ7KG362vSBCr0Zh9iSLfm4NA5pD70kLbkJ2ZbLhnS9rNcL-feZsSSvk5DSFnoxi4UlW_Pt6JvRaIaQTzJN4yITSVhqWYY84iYstK5DXtUa1J-BFR93dE_PxLcLeZzzfDLxFcC29_6rpOEeyBpPzv6FtIdO4Qb8BpnDFaQO1z-Se27r2pQ-EcDySq-RmPbxhJXBPQP0DuQtSmuOkc4BYGEeFDZtsw663nvwqw-yNL6qxE9Xarq9tQk8b1qwgrFcDwKomDfbojoDVZ8Byd04VHSrYHY4hADpDWaGso0n6NZZBj-G1uNrDdS12YwO4azGzaCk7ZN4Rn5-5ft1_ouYDwFazql272CN806mITBNq_uM1c1SsBDYXzJW3rHNJ35vIbA-ictD-HRMyh5zWBtS5irG3E6wfYaD4VgYTsvAAt0hezGoLdCae7Mv-cXXYWUXkfXZ-Zdzh7BsvODdkR4iOg8ZMj2hOX9GnjpLhM4shJ6TiVnsk0e2Nun1PnkyylT5gqg7sKIeVhQudIAVHcGKIqyohxXtYUUdrKiHFXWwekm-n-Tnn09DV5sjLGFVWIeVPmKiKGUNEyWFZNBbLYDsiUwwY3gtCl6ArQ6mW8QkUHhdMl1n2nDBK1FIyV6R3UWzMG8INdywyBhhohK4ZhEXYLQKDTydp_FRyaMpCfxEqqVNwaJ8bOKlwmlXOO3KTvuUJH6ulSORlhwqgMZvn_voBaNAw-K2mV6YpmsVrIhZnMgsiafktZXY8B7w7QL3MQ_-cdS35PH2P_GO7K5XnXlPdtqq--DAdwOL4aj7 |
| link.rule.ids | 315,782,786,27933,27934 |
| linkProvider | Elsevier |
| 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=Electrochemical+platform+for+detecting+Escherichia+coli+bacteria+using+machine+learning+methods&rft.jtitle=Biosensors+%26+bioelectronics&rft.au=Aliev%2C+Timur+A.&rft.au=Lavrentev%2C+Filipp+V.&rft.au=Dyakonov%2C+Alexandr+V.&rft.au=Diveev%2C+Daniil+A.&rft.date=2024-09-01&rft.pub=Elsevier+B.V&rft.issn=0956-5663&rft.eissn=1873-4235&rft.volume=259&rft_id=info:doi/10.1016%2Fj.bios.2024.116377&rft.externalDocID=S0956566324003828 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0956-5663&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0956-5663&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0956-5663&client=summon |