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Analytical Chemistry in a Drop. Solvent Extraction in a Microdrop

Liu, Hanghui, Dasgupta, Purnendu K.·1996·Analytical Chemistry

Abstract

An organic microdrop (∼1.3 μL) is suspended inside a flowing aqueous drop from which the analyte is extracted. The drop-in-drop system is achieved by a multitube assembly. The aqueous phase is continuously delivered to the outer drop and is aspirated away from the bottom meniscus of the drop. After the sampling/extraction period, a wash solution replaces the sample/reagent in the aqueous layer, resulting in a clear outer aqueous drop housing a colored organic drop containing the extracted material. This also results in an automatic backwash. The color intensity of the organic drop, related to the analyte concentration, is monitored by a light-emitting diode based absorbance detector. After the analytical cycle, the organic drop is removed and replaced by a new one. The performance of the system is illustrated with the determination of sodium dodecyl sulfate (a methylene blue active substance) extracted as an ion pair into chloroform. This unique microextraction system is simple and flexible, permits automated backwashing, consumes only microquantities of organic solvents, and is capable of being coupled with other analytical systems. This concept should prove valuable for preconcentration and matrix isolation in a microscale.

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Metadata

Authors
Liu, H., & Dasgupta, P. K.
Venue
Analytical Chemistry
Published
1996-06-01
Volume
68
Issue
11
Pages
1817-1821
ISSN
  • 0003-2700 (ISSN-L)
  • 1520-6882
OpenAlex
W2045688734
Cited by
751
References
0
FWCI
3.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Analytical Chemistry in a Drop. Solvent Extraction in a Microdrop. https://app.cochat.ai/papers/10.1021/ac960145h
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Liu, H., & Dasgupta, P. K. (1996). Analytical Chemistry in a Drop. Solvent Extraction in a Microdrop. Analytical Chemistry. https://doi.org/10.1021/ac960145h

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.