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Analysis of Pesticide Residues in Soil: New Approaches for Environmental Monitoring /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Analysis of Pesticide Residues in Soil: New Approaches for Environmental Monitoring // Joao Eduardo Rodrigues Sedas Brinco.
作者:	Brinco, Joao Eduardo Rodrigues Sedas,
面頁冊數:	1 electronic resource (128 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
Contained By:	Dissertations Abstracts International86-12B.
標題:	Agriculture. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32016494
ISBN:	9798286411696

Analysis of Pesticide Residues in Soil: New Approaches for Environmental Monitoring /
Brinco, Joao Eduardo Rodrigues Sedas,

Analysis of Pesticide Residues in Soil: New Approaches for Environmental Monitoring /Joao Eduardo Rodrigues Sedas Brinco. - 1 electronic resource (128 pages)

Source: Dissertations Abstracts International, Volume: 86-12, Section: B.

Environmental monitoring is a very important part of dealing with soil contamination problems. As an essential support for life on land, soil should be protected and monitored. This dissertation is centered on the development of methodologies for pesticide residues analysis in soil, which are of great relevance due to being widely applied on agricultural soils and by having known detrimental effects.The first work presented comprises a method development and monitoring campaign of empty pesticide packaging from Portugal in order to determine their hazardousness. The compounds most found in this monitoring along with those frequently reported in the relevant literature as being present in European Union (EU) soils were used to construct a list of priority analytes to focus on. This list contained thirteen currently used pesticides and one degradation product; of these, the herbicide glyphosate is the most challenging in analytical terms.A literature review on currently used methods for pesticide residue analysis in soil was conducted, along with a side-by-side comparison of their properties. QuEChERS was found to be the most widely used and promising extraction method currently em- ployed. However, none of the methodologies studied seemed particularly fitted to extract "multiclass" pesticides along with glyphosate, and thus a new form of extraction using semi-disposable Solid-Phase Microextraction (SPME) fibers on an aqueous soil slurry was developed, and combined with solid-liquid extraction followed by chemical derivatization in order to permit this analysis in a single run employing Gas Chromatography coupled to tandem Mass Spectrometry (GC-MS/MS).The same semi-disposable SPME fibers were also applied to the development of a new "on-the-fly" detection method for pesticides in soil which forgoes traditional sampling and extensive lab-work. The fibers are inserted directly into the soil, after which they are retro-extracted onto a suitable solvent and analysed through GC-MS/MS. The proposed method was tested for monitoring on an electrokinetic remediation experiment at the lab scale. Results show that this new methodology cannot be used for accurate quantification, but may be employed in qualitative analysis for detection of contaminants above a certain confidence threshold.Throughout the work different pieces of software were written in the Python language to perform calculations, mostly for experimental design and quantification/validation. These were compiled and documented in a package called Chromapy, which is now freely available for use and modification.

English

ISBN: 9798286411696Subjects--Topical Terms:

518588
Agriculture.

Analysis of Pesticide Residues in Soil: New Approaches for Environmental Monitoring /
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500 $a Advisors: Rodrigues, Paula Alexandra; Guedes, Araujo; de Jesus Branco Ribeiro, Alexandra; da Silva, Marco Diogo Richter Gomes.
502 $b Ph.D. $c Universidade NOVA de Lisboa (Portugal) $d 2025.
520 $a Environmental monitoring is a very important part of dealing with soil contamination problems. As an essential support for life on land, soil should be protected and monitored. This dissertation is centered on the development of methodologies for pesticide residues analysis in soil, which are of great relevance due to being widely applied on agricultural soils and by having known detrimental effects.The first work presented comprises a method development and monitoring campaign of empty pesticide packaging from Portugal in order to determine their hazardousness. The compounds most found in this monitoring along with those frequently reported in the relevant literature as being present in European Union (EU) soils were used to construct a list of priority analytes to focus on. This list contained thirteen currently used pesticides and one degradation product; of these, the herbicide glyphosate is the most challenging in analytical terms.A literature review on currently used methods for pesticide residue analysis in soil was conducted, along with a side-by-side comparison of their properties. QuEChERS was found to be the most widely used and promising extraction method currently em- ployed. However, none of the methodologies studied seemed particularly fitted to extract "multiclass" pesticides along with glyphosate, and thus a new form of extraction using semi-disposable Solid-Phase Microextraction (SPME) fibers on an aqueous soil slurry was developed, and combined with solid-liquid extraction followed by chemical derivatization in order to permit this analysis in a single run employing Gas Chromatography coupled to tandem Mass Spectrometry (GC-MS/MS).The same semi-disposable SPME fibers were also applied to the development of a new "on-the-fly" detection method for pesticides in soil which forgoes traditional sampling and extensive lab-work. The fibers are inserted directly into the soil, after which they are retro-extracted onto a suitable solvent and analysed through GC-MS/MS. The proposed method was tested for monitoring on an electrokinetic remediation experiment at the lab scale. Results show that this new methodology cannot be used for accurate quantification, but may be employed in qualitative analysis for detection of contaminants above a certain confidence threshold.Throughout the work different pieces of software were written in the Python language to perform calculations, mostly for experimental design and quantification/validation. These were compiled and documented in a package called Chromapy, which is now freely available for use and modification.
520 $a A monitorizacao ambiental e uma parte muito importante na abordagem dos problemas de contaminacao do solo. Enquanto suporte essencial para a vida terrestre, o solo deve ser protegido e monitorizado. Esta dissertacao centra-se no desenvolvimento de metodologias para a analise de residuos de pesticidas no solo, os quais sao de grande relevancia devido a sua aplicacao generalizada nos solos agricolas e aos seus conhecidos efeitos prejudiciais.O primeiro trabalho apresentado envolve o desenvolvimento de um metodo e uma campanha de monitorizacao de embalagens vazias de pesticidas em Portugal, com o objetivo de determinar a sua perigosidade. Os compostos mais encontrados nesta mo- nitorizacao, juntamente com aqueles frequentemente encontrados nos solos da Uniao Europeia na literatura relevante, foram utilizados para construir uma lista de analitos prioritarios a focar. Esta lista contem treze pesticidas atualmente utilizados e um produto de degradacao; destes, o herbicida glifosato e o mais desafiante em termos analiticos.Foi realizada uma revisao da literatura sobre os metodos atualmente utilizados para a analise de residuos de pesticidas no solo, juntamente com uma comparacao das suas propriedades. O metodo de extracao QuEChERS foi identificado como o mais amplamente utilizado e promissor. No entanto, nenhuma das metodologias estudadas se revelou parti- cularmente adequada para extrair varias classes de pesticidas juntamente com o glifosato. Assim, foi desenvolvido um novo metodo de extracao utilizando fibras semi-descartaveis de Microextracao em Fase Solida (SPME) a partir de uma suspensao aquosa de solo, combinado com extracao solido-liquido seguida de derivatizacao quimica, permitindo a analise numa unica corrida de Cromatografia Gasosa acoplada a Espectrometria de Massas em Tandem (GC-MS/MS).As mesmas fibras semi-descartaveis de SPME foram aplicadas no desenvolvimento de um novo metodo de detecao "on-the-fly" para pesticidas no solo, que dispensa a amostragem tradicional e o extenso trabalho de laboratorio. As fibras sao inseridas diretamente no solo, sendo posteriormente retroextraidas para um solvente adequado e analisadas atraves de GC-MS/MS. O metodo proposto foi testado para monitorizacao numa experiencia de remediacao eletrocinetica em escala laboratorial. Os resultados mostram que esta nova metodologia nao pode ser utilizada para quantificacao exata, mas pode ser empregada na analise qualitativa para detecao de contaminantes acima de um determinado limite de confianca.Ao longo do trabalho, foram desenvolvidos diferentes modulos de software na lingua- gem Python para realizar calculos,maioritariamente de desenho experimental e quantifica- cao/validacao. Estes foram compilados e documentados num pacote chamado Chromapy, que agora esta disponivel para utilizacao e modificacao.
546 $a English
590 $a School code: 7029
650 4 $a Agriculture. $3 518588
650 4 $a Mass spectrometry. $3 551172
650 4 $a Software. $2 gtt. $3 619355
650 4 $a Pollutants. $3 551065
650 4 $a Toxicity. $3 3564836
650 4 $a Herbicides. $3 544974
650 4 $a Analytical chemistry. $3 3168300
650 4 $a Pesticides. $3 660104
650 4 $a Freeware. $3 3823146
650 4 $a Soil contaminants. $3 3823147
650 4 $a Terrestrial ecosystems. $3 3694093
650 4 $a Scientific imaging. $3 3560377
650 4 $a Environmental impact. $3 3564810
650 4 $a Chromatography. $3 1073639
650 4 $a Environmental monitoring. $3 542712
650 4 $a Packaging. $3 585030
650 4 $a Agricultural chemistry. $3 523947
650 4 $a Design. $3 518875
650 4 $a Organic chemistry. $3 523952
650 4 $a Soil sciences. $3 2122699
650 4 $a Toxicology. $3 556884
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710 2 $a Universidade NOVA de Lisboa (Portugal). $e degree granting institution. $3 3767537
720 1 $a Rodrigues, Paula Alexandra $e degree supervisor.
720 1 $a Guedes, Araujo $e degree supervisor.
720 1 $a de Jesus Branco Ribeiro, Alexandra $e degree supervisor.
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