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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Fresenius Zeitschrift für Analytische Chemie
Article . 1984 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Datenverarbeitung in TLC/HPTLC und HPLC

Authors: S. Ebel;

Datenverarbeitung in TLC/HPTLC und HPLC

Abstract

Obwohl die DC und HPLC Trennverfahren aus dem Bereich der Flussigkeits-Chromatographie sind, unterscheiden sie sich in der Datenverarbeitung:die DC ist ein diskontinuierliches Analysenverfahren in der Ortsdomane mit Off-line-EDV, die HPLC dagegen ein kontinuierliches in der Zeitdomane mit zwingender On-line-EDV. Bei der HPLC ist die Vollmechanisierung Stand der Technik, bei der DC lassen sich sinnvoll nur die Auftragetechnik und die Auswertung automatisieren, wobei wegen der Positionierung der x/y-Koordinaten eine echte Rechnersteuerung sinnvoller ist als lediglich eine Scan-Automatik. Im Hinblick auf gunstigere Bestimmungsgrenzen mussen bei beiden Verfahren unterschiedliche Methoden der Verbesserung des Signal/Rausch-Verhaltnisses eingesetzt werden. Bei der Bestimmung nichtgetrennter Peaks dagegen konnen bei beiden Methoden dieselben Techniken (Ableitung, Mehrwellenlangenmessung) eingesetzt werden. In der HPLC ergeben sich daruber hinaus bei Verwendung von Photodiodenarray-Detektoren zusatzliche Moglichkeiten in der spektralen Domane (Ableitungsspektroskopie, Anwendung von Orthogonalpolynomen). In der Kalibrierung gelten wegen des nichtlinearen Zusammenhangs in der DC andere Voraussetzungen, doch steht mit der nichtlinearen Regression uber die Michaelis-Menten-Funktion eine vielseitig anwendbare Auswertung zur Verfugung.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
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