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Multivariate analysis of biochar-derived carbonaceous nanomaterials for detection of heavy metal ions in aqueous systems

J. Plácido, S. Bustamante López, Kenith Meissner, Diane Kelly, Steven Kelly Orcid Logo, Jersson Placido Escobar Orcid Logo

Science of The Total Environment, Volume: 688, Pages: 751 - 761

Swansea University Authors: Kenith Meissner, Diane Kelly, Steven Kelly Orcid Logo, Jersson Placido Escobar Orcid Logo

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DOI (Published version): 10.1016/j.scitotenv.2019.06.342

Abstract

This article focuses on implementing multivariate analysis to evaluate biochar-derived carbonaceous nanomaterials(BCN) from three different feedstocks for the detection and differentiation of heavy metal ions inaqueous systems. The BCN were produced from dairy manure, rice straw and sorghum straw bi...

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Published in: Science of The Total Environment
ISSN: 00489697
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa50904
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The BCN were produced from dairy manure, rice straw and sorghum straw biochar usingour NanoRefinery process. The NanoRefinery process transforms biochar into advanced nanomaterials usingdepolymerisation/chemical oxidation and purification of nanomaterials using solvent extraction. Dairy manurebiochar-derived carbonaceous nanomaterials (DMB-CN), rice straw biochar-derived carbonaceous nanomaterials(RSB-CN) and sorghum straw biochar-derived carbonaceous nanomaterials (SSB-CN) were utilisedas probes for the evaluation of their fluorescent properties and the detection of heavy metal ions. The BCNfluorescence quenching and fluorescence recovery was tested with lead (Pb2+), nickel (Ni2+), copper (Cu2+)and mercury (Hg2+). Principal component analysis (PCA) and discriminant analysis were used to differentiateamong heavy metal ions in water samples. The BCN from different feedstocks had different characteristicsand produced different interactions with heavy metal ions. DMB-CN had the highest quenching for Hg2+ andNi2+ while SSB-CN and RSB-CN responded best to Cu2+ and Pb2+, respectively. The fluorescence quenchingwas modelled using linear and empirical functions. PCA and discriminant analysis used the quenching measurementsto differentiate heavy metal ions in aqueous system. A key result was that the discriminant analysishad a 100% accuracy to detect Pb2+, 66% for Ni2+ and Cu2+, and 33% for Hg2+. This study has shown thatbiochar-derived carbonaceous nanomaterials could be used in heavy metal ions sensing applications. This isthe first step in the development of a fast and accurate method for the detection of heavy metal ions in watersusing environmentally friendly BCN.</abstract><type>Journal Article</type><journal>Science of The Total Environment</journal><volume>688</volume><journalNumber/><paginationStart>751</paginationStart><paginationEnd>761</paginationEnd><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>00489697</issnPrint><issnElectronic/><keywords>Biochar Carbonaceous nanomaterials Heavy metal ions Fluorescence sensors Quenching Multivariate analysis</keywords><publishedDay>20</publishedDay><publishedMonth>10</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-10-20</publishedDate><doi>10.1016/j.scitotenv.2019.06.342</doi><url/><notes/><college>COLLEGE NANME</college><department>Science and Engineering - Faculty</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>FGSEN</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2021-10-26T16:25:03.8745294</lastEdited><Created>2019-06-24T10:18:10.1092728</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>J.</firstname><surname>Pl&#xE1;cido</surname><order>1</order></author><author><firstname>S. Bustamante</firstname><surname>L&#xF3;pez</surname><order>2</order></author><author><firstname>Kenith</firstname><surname>Meissner</surname><order>3</order></author><author><firstname>Diane</firstname><surname>Kelly</surname><order>4</order></author><author><firstname>Steven</firstname><surname>Kelly</surname><orcid>0000-0001-7991-5040</orcid><order>5</order></author><author><firstname>Jersson</firstname><surname>Placido Escobar</surname><orcid>0000-0002-2070-3366</orcid><order>6</order></author></authors><documents><document><filename>0050904-10072019100943.pdf</filename><originalFilename>50904.pdf</originalFilename><uploaded>2019-07-10T10:09:43.0370000</uploaded><type>Output</type><contentLength>245060</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2020-06-24T00:00:00.0000000</embargoDate><documentNotes>Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2021-10-26T16:25:03.8745294 v2 50904 2019-06-24 Multivariate analysis of biochar-derived carbonaceous nanomaterials for detection of heavy metal ions in aqueous systems 30fdfec0d8b19b59b57a818e054d4af3 Kenith Meissner Kenith Meissner true false 5ccf81e5d5beedf32ef8d7c3d7ac6c8c Diane Kelly Diane Kelly true false b17cebaf09b4d737b9378a3581e3de93 0000-0001-7991-5040 Steven Kelly Steven Kelly true false ee053a8f277a0822f4dbb10470a03ef8 0000-0002-2070-3366 Jersson Placido Escobar Jersson Placido Escobar true false 2019-06-24 FGSEN This article focuses on implementing multivariate analysis to evaluate biochar-derived carbonaceous nanomaterials(BCN) from three different feedstocks for the detection and differentiation of heavy metal ions inaqueous systems. The BCN were produced from dairy manure, rice straw and sorghum straw biochar usingour NanoRefinery process. The NanoRefinery process transforms biochar into advanced nanomaterials usingdepolymerisation/chemical oxidation and purification of nanomaterials using solvent extraction. Dairy manurebiochar-derived carbonaceous nanomaterials (DMB-CN), rice straw biochar-derived carbonaceous nanomaterials(RSB-CN) and sorghum straw biochar-derived carbonaceous nanomaterials (SSB-CN) were utilisedas probes for the evaluation of their fluorescent properties and the detection of heavy metal ions. The BCNfluorescence quenching and fluorescence recovery was tested with lead (Pb2+), nickel (Ni2+), copper (Cu2+)and mercury (Hg2+). Principal component analysis (PCA) and discriminant analysis were used to differentiateamong heavy metal ions in water samples. The BCN from different feedstocks had different characteristicsand produced different interactions with heavy metal ions. DMB-CN had the highest quenching for Hg2+ andNi2+ while SSB-CN and RSB-CN responded best to Cu2+ and Pb2+, respectively. The fluorescence quenchingwas modelled using linear and empirical functions. PCA and discriminant analysis used the quenching measurementsto differentiate heavy metal ions in aqueous system. A key result was that the discriminant analysishad a 100% accuracy to detect Pb2+, 66% for Ni2+ and Cu2+, and 33% for Hg2+. This study has shown thatbiochar-derived carbonaceous nanomaterials could be used in heavy metal ions sensing applications. This isthe first step in the development of a fast and accurate method for the detection of heavy metal ions in watersusing environmentally friendly BCN. Journal Article Science of The Total Environment 688 751 761 00489697 Biochar Carbonaceous nanomaterials Heavy metal ions Fluorescence sensors Quenching Multivariate analysis 20 10 2019 2019-10-20 10.1016/j.scitotenv.2019.06.342 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2021-10-26T16:25:03.8745294 2019-06-24T10:18:10.1092728 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine J. Plácido 1 S. Bustamante López 2 Kenith Meissner 3 Diane Kelly 4 Steven Kelly 0000-0001-7991-5040 5 Jersson Placido Escobar 0000-0002-2070-3366 6 0050904-10072019100943.pdf 50904.pdf 2019-07-10T10:09:43.0370000 Output 245060 application/pdf Accepted Manuscript true 2020-06-24T00:00:00.0000000 Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND). true eng
title Multivariate analysis of biochar-derived carbonaceous nanomaterials for detection of heavy metal ions in aqueous systems
spellingShingle Multivariate analysis of biochar-derived carbonaceous nanomaterials for detection of heavy metal ions in aqueous systems
Kenith Meissner
Diane Kelly
Steven Kelly
Jersson Placido Escobar
title_short Multivariate analysis of biochar-derived carbonaceous nanomaterials for detection of heavy metal ions in aqueous systems
title_full Multivariate analysis of biochar-derived carbonaceous nanomaterials for detection of heavy metal ions in aqueous systems
title_fullStr Multivariate analysis of biochar-derived carbonaceous nanomaterials for detection of heavy metal ions in aqueous systems
title_full_unstemmed Multivariate analysis of biochar-derived carbonaceous nanomaterials for detection of heavy metal ions in aqueous systems
title_sort Multivariate analysis of biochar-derived carbonaceous nanomaterials for detection of heavy metal ions in aqueous systems
author_id_str_mv 30fdfec0d8b19b59b57a818e054d4af3
5ccf81e5d5beedf32ef8d7c3d7ac6c8c
b17cebaf09b4d737b9378a3581e3de93
ee053a8f277a0822f4dbb10470a03ef8
author_id_fullname_str_mv 30fdfec0d8b19b59b57a818e054d4af3_***_Kenith Meissner
5ccf81e5d5beedf32ef8d7c3d7ac6c8c_***_Diane Kelly
b17cebaf09b4d737b9378a3581e3de93_***_Steven Kelly
ee053a8f277a0822f4dbb10470a03ef8_***_Jersson Placido Escobar
author Kenith Meissner
Diane Kelly
Steven Kelly
Jersson Placido Escobar
author2 J. Plácido
S. Bustamante López
Kenith Meissner
Diane Kelly
Steven Kelly
Jersson Placido Escobar
format Journal article
container_title Science of The Total Environment
container_volume 688
container_start_page 751
publishDate 2019
institution Swansea University
issn 00489697
doi_str_mv 10.1016/j.scitotenv.2019.06.342
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
active_str 0
description This article focuses on implementing multivariate analysis to evaluate biochar-derived carbonaceous nanomaterials(BCN) from three different feedstocks for the detection and differentiation of heavy metal ions inaqueous systems. The BCN were produced from dairy manure, rice straw and sorghum straw biochar usingour NanoRefinery process. The NanoRefinery process transforms biochar into advanced nanomaterials usingdepolymerisation/chemical oxidation and purification of nanomaterials using solvent extraction. Dairy manurebiochar-derived carbonaceous nanomaterials (DMB-CN), rice straw biochar-derived carbonaceous nanomaterials(RSB-CN) and sorghum straw biochar-derived carbonaceous nanomaterials (SSB-CN) were utilisedas probes for the evaluation of their fluorescent properties and the detection of heavy metal ions. The BCNfluorescence quenching and fluorescence recovery was tested with lead (Pb2+), nickel (Ni2+), copper (Cu2+)and mercury (Hg2+). Principal component analysis (PCA) and discriminant analysis were used to differentiateamong heavy metal ions in water samples. The BCN from different feedstocks had different characteristicsand produced different interactions with heavy metal ions. DMB-CN had the highest quenching for Hg2+ andNi2+ while SSB-CN and RSB-CN responded best to Cu2+ and Pb2+, respectively. The fluorescence quenchingwas modelled using linear and empirical functions. PCA and discriminant analysis used the quenching measurementsto differentiate heavy metal ions in aqueous system. A key result was that the discriminant analysishad a 100% accuracy to detect Pb2+, 66% for Ni2+ and Cu2+, and 33% for Hg2+. This study has shown thatbiochar-derived carbonaceous nanomaterials could be used in heavy metal ions sensing applications. This isthe first step in the development of a fast and accurate method for the detection of heavy metal ions in watersusing environmentally friendly BCN.
published_date 2019-10-20T04:02:35Z
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