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Enregistrement W1502002638 · doi:10.1002/9780470027318.a0922

Solid‐Phase Microextraction in Analysis of Pollutants in the Field

2000· other· en· W1502002638 sur OpenAlexaff
Laura Müller, Tadeusz Górecki, Janusz Pawliszyn

Notice bibliographique

RevueEncyclopedia of Analytical Chemistry · 2000
Typeother
Langueen
DomaineChemistry
ThématiqueAnalytical chemistry methods development
Établissements canadiensUniversity of Waterloo
Organismes subventionnairesnon disponible
Mots-clésAnalyteSolid-phase microextractionChromatographyFiberCoatingSample preparationGas chromatographyAnalytical Chemistry (journal)Materials scienceExtraction (chemistry)ChemistryGas chromatography–mass spectrometryMass spectrometryNanotechnologyComposite material

Résumé

récupéré en direct d'OpenAlex

Abstract Solid‐phase microextraction (SPME) is a modern sampling/sample preparation method, used for isolation and preconcentration of organic molecules from a variety of matrices. SPME uses a short piece of a fused silica fiber coated with a polymeric stationary phase. The fiber is mounted in a device resembling a syringe. During transport, storage and manipulation, the fiber is retracted into the needle of the device. During extraction and desorption of the analytes, the fiber is exposed. Analytes present in a sample partition into or onto the coating, depending on its type. The process continues until equilibrium is reached between the coating and the sample. From then on, longer extraction times do not result in larger amounts of analyte extracted. Once the extraction is finished, the fiber is retracted back into the needle, and the device is transferred to a gas or liquid chromatograph for analyte separation and determination. When gas chromatography (GC) is used, the analytes are thermally desorbed from the fiber in a GC injector. Coupling of SPME with high‐performance liquid chromatography (HPLC) requires a special interface. Two distinct SPME coating types are available commercially. Coatings of the first type, including poly(dimethylsiloxane) (PDMS) and poly(acrylate) (PA), extract analytes by absorption. This process is non‐competitive, therefore in most cases the amount of an analyte extracted by such coatings from a sample is independent of the matrix composition. No saturation or displacement effects occur. The amount of an analyte extracted from a sample is linearly dependent on its initial concentration, provided that several important variables, including (but not limited to) temperature, extraction time and mass transfer conditions, are kept constant. Coatings of this type usually perform very well for compounds of medium to low volatility. Coatings of the second type, including poly(dimethylsiloxane)/divinylbenzene (PDMS/DVB), Carbowax™/divinylbenzene (CW/DVB) and Carboxen™/poly(dimethylsiloxane) (CX/PDMS), extract analytes by adsorption. This process is limited to the surface of the coating. It is competitive, which means that a molecule with higher affinity to the coating can displace a molecule with lower affinity. Since the number of active sites on the surface of any coating is limited, a linear response for those coatings can be expected only when the concentrations of all the compounds that can be extracted by the coating from a sample are low. Adsorption‐type coatings are particularly suitable for volatile analytes, for which they offer much better sensitivity than PDMS or PA. SPME is very well suited for field applications, especially when the analysis is carried out on site. The fiber can be exposed directly to the medium analyzed, for example lake water or ambient air, without the need to collect a sample and without knowing the exact volume of the sample the fiber is exposed to. Analysis can then be performed using field portable instrumentation. Manual operation of the device is very simple. The fibers are reusable, which makes the cost of analysis low. Separation of volatile components sampled by SPME can be very fast when a dedicated system (available commercially from SRI Instruments) is used. Alternatively, SPME can be used to sample in the field, and then transported for the analysis to the laboratory. Modified devices have to be used for this purpose to avoid analyte losses during transport and storage, as well as contamination of the samples. Transporting fibers is much easier than transporting glass or metal containers with water or air samples. The main disadvantage of SPME in the field is its lack of robustness. The needle can be easily bent, and the fiber can be broken when handled without sufficient care. New designs of field portable SPME devices address those issues. Also, it might be difficult to accurately control in the field all the experimental parameters that affect the amount of analyte extracted.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,173
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0390,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,352
Écart entre enseignants0,338 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2000
Routes d'admission1
Résumé présentoui

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