| Literature DB >> 25586828 |
Naoki Yanagisawa1, Debashis Dutta2.
Abstract
In this article, we describe the kinetic ELISA of Blue Tongue and Epizootic Hemorrhagic Disease viral antibodies in microfluidic channels by monitoring the rate of generation of the enzyme reaction product under static conditions. It has been shown that this format of the immunoassay allows very reliable quantitation of the target species using inexpensive glass microchips and a standard epifluorescence microscope system coupled to a CCD camera. For the viral antibodies assayed here, the limit of detection (LOD) for the analyte concentration in our microchips was established to be 3-5 times lower than that obtained on commercial microwell plates using a fiftieth of the sample volume and less than a third of the incubation time. Our analyses further show that when compared to the end-point ELISA format, the kinetic mode of this assay yields an improvement in the LOD by over an order of magnitude in microfluidic devices. This benefit is primarily realized as the observed variation in the background fluorescence (signal at the start of the enzyme reaction period) was significantly larger than that in the rate of signal generation upon repeating these assays in different microchannels/microchips. Because the kinetic ELISA results depend only on the latter quantity, the noise level in them was substantially lower compared to that in its end-point counterpart in which the absolute fluorescence measurements are of greater significance. While a similar benefit was also recorded through implementation of kinetic ELISAs on the microwell platform, the improvement in LOD registered in that system was not as significant as was observed in the case of microfluidic assays.Entities:
Year: 2011 PMID: 25586828 PMCID: PMC4264342 DOI: 10.3390/bios1020058
Source DB: PubMed Journal: Biosensors (Basel) ISSN: 2079-6374
Figure 1(a) Microchip design used in the present study. (b) Temporal variation in the fluorescence signal in microchannels with an active ELISA surface for 50× BTV antibody samples and its corresponding blanks. The presented data set are for 3 repetitions of each of these ELISAs in separate fluidic ducts. Although in this particular case, all of the concerned microchannels were located on the same microchip, the assay-to-assay variability in our experiments was dominated by the fluctuations in the channel-to-channel characteristics. The observed chip-to-chip variability was not any different from the channel-to-channel variability in our system.
Figure 2Temporal variation in the fluorescence signal for Blue Tongue Virus (BTV) antibody samples in (a) microchannels (b) microwells with an active ELISA surface. (c) Calibration curves for the kinetic and end-point ELISAs in microchips and microwell plates for BTV antibody samples. Note that while the rate of signal generation for a sample minus that for its corresponding blank (left axis) has been plotted for quantitating the kinetic ELISAs, the absolute change in signal over a fixed enzyme reaction period minus that for its corresponding blank (right axis) was used as a measure for quantitating the end-point immunoassays. (d) Limit of detection (LOD) curves for the kinetic and end-point ELISAs in microchannels and microwells for the BTV antibody samples. The noise level (N) in these calculations was evaluated as 3-times the standard deviation in the signal (S). The LOD for an assay was estimated as the dilution factor for which S/N = 1.
Figure 3Temporal variation in the fluorescence signal for Epizootic Hemorrhagic Disease Virus (EHDV) antibody samples in (a) microchannels (b) microwells with an active ELISA surface. (c) Calibration curves for the kinetic and end-point ELISAs in microchips and microwell plates for EHDV antibody samples. (d) Limit of detection (LOD) curves for the kinetic and end-point ELISAs in microchannels and microwells for the EHDV antibody samples. Notice that the x-coordinate in (c) and (d) has been chosen to be the reciprocal of dilution factor rather than the dilution factor itself. Our analyses show that if the latter choice is made, the linear variation between the x and y data points is compromised.