Literature DB >> 15665970

Application of the lag-after-pulsed-separation (LAPS) flow meter to different protein solutions.

Shramik Sengupta1, Goher Mahmud, Daniel J Chiou, Babak Ziaie, Victor H Barocas.   

Abstract

A lag after pulsed separation (LAPS) meter was previously developed to measure flow rates of protein solutions. The LAPS meter operates on the time-of-flight principle. An upstream event (electrophoretic concentration of the particles in one section of the device) is detected downstream (by change in ac resistance). The time lag between the event and its detection is inversely proportional to the fluid flow rate. We demonstrate the ability of the LAPS meter to measure the flow rate of solutions containing one or more charged biomacromolecules or particles. A prototype of the LAPS meter was used to measure flow rates of solutions of model proteins [bovine serum albumin (BSA), lysozyme and hemoglobin] and mixtures of BSA and lysozyme. Flow rates of 10-50 microl min(-1)(average velocities of 0.24-1.2 mm s(-1)) were measured. When a single ac measurement was used, the results were solution-dependent, which we attribute to the interface between the protein solution and the ac electrodes. A differential mode, in which the signal from a positive and a negative dc pulse were subtracted from each other, eliminated interfacial effects and led to a single universal (solution-independent) calibration curve. The LAPS meter can be used as a non-invasive, no-moving-parts flow sensor in any microfluidic system (such as drug delivery devices or micro-reactor arrays) where one needs to measure the flow rate of a solution or a suspension containing charged species such as proteins or cells.

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Year:  2004        PMID: 15665970     DOI: 10.1039/b413808m

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  1 in total

1.  Novel electrical method for early detection of viable bacteria in blood cultures.

Authors:  Sachidevi Puttaswamy; Byung Doo Lee; Shramik Sengupta
Journal:  J Clin Microbiol       Date:  2011-04-06       Impact factor: 5.948

  1 in total

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