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dc.contributor.authorGazze, SA
dc.contributor.authorHallin, I
dc.contributor.authorQuinn, G
dc.contributor.authorDudley, E
dc.contributor.authorMatthews, Peter
dc.contributor.authorRees, P
dc.contributor.authorvan Keulen, G
dc.contributor.authorDoerr, SH
dc.contributor.authorFrancis, LW
dc.date.accessioned2018-02-12T10:38:37Z
dc.date.available2018-02-12T10:38:37Z
dc.date.issued2018-01-14
dc.identifier.issn2040-3364
dc.identifier.issn2040-3372
dc.identifier.urihttp://hdl.handle.net/10026.1/10764
dc.description.abstract

Localized variations at the nanoscale in soil aggregates and in the spatial organisation of soil organic matter (SOM) are critical to understanding the factors involved in soil composition and turnover. However soil nanoscience has been hampered by the lack of suitable methods to determine soil biophysical properties at nanometre spatial resolution with minimal sample preparation. Here we introduce for the first time an Atomic Force Microscopy (AFM)- based Quantitative Nano-Mechanical mapping (QNM) approach that allows the characterisation of the role of SOM in controlling surface nano-mechanical properties of soil aggregates. SOM coverage resulted in an increased roughness and surface variability of soil, as well as in decreased stiffness and adhesive properties. The latter also correlates with nano- to macro-wettability features as determined by contact angle measurements and Water Drop Penetration Time (WDPT) testing. AFM thus represents an ideal quantitative tool to complement existing techniques within the emerging field of soil nanoscience.

dc.format.extent520-525
dc.format.mediumPrint
dc.languageen
dc.language.isoen
dc.publisherRoyal Society of Chemistry
dc.subjectBioengineering
dc.titleOrganic matter identifies the nano-mechanical properties of native soil aggregates
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000419152600002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue2
plymouth.volume10
plymouth.publication-statusPublished
plymouth.journalNanoscale
dc.identifier.doi10.1039/c7nr07070e
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Geography, Earth and Environmental Sciences
plymouth.organisational-group/Plymouth/Users by role
dc.publisher.placeEngland
dcterms.dateAccepted2017-11-28
dc.rights.embargodate2018-12-14
dc.identifier.eissn2040-3372
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1039/c7nr07070e
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-01-14
rioxxterms.typeJournal Article/Review
plymouth.funderA cross-disciplinary soil-proteomics and modelling approach for predicting switches between hydrophilic and hydrophobic soil surface responses::NERC


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