Real-time RNA/DNA measurements by DNAiTECH and the Smartphone App
Real-time nucleic acid detection using the DNAiTECH and the mobile phone is easy. The procedure is automated after the initial set-up phase with minor user input required from raw data collection to curve fitting and data analysis.
The DNAiTECH instrument is operated via an app on the smartphone using Bluetooth connection.
The user can recall a previous program or establish a new program, defining the assay conditions including reaction temperature, run time, initial delay settings, images per minute, the calibration concentration, and dilutions.
The temperature range available is from 37-70°C . This temperature range covers all isothermal amplification assay methods.
The DNAiTECH instrument allows for up to nine clear topped 0.2 ml PCR tubes.
DNAiTECH kits use loop-mediated isothermal amplification.
The PCR tubes for DNAiTECH LAMP assays contain all the test components, including buffer, magnesium salts, 4 or 6 specific LAMP primers, Bst strand displacing polymerase, nucleotides, Evagreen dye, sample and/or calibration DNA. The tubes are overlaid with mineral oil or a wax bead which melts at the reaction temperature.
Check out the video below of a recorded DNAiTECH assay and the specific steps involved in the assay process.
Video: click the video to view the operation of the DNAiTECH and a 48 minute analysis of E. coli calibration standards and an unknown sample.
This data set was collected on DNAiTECH operated using the Samsung Galaxy A10 smartphone.
In the video, you will observe the assay sequence
1) user selection of a program
2) equilibration of the DNAiTECH instrument to the LAMP assay reaction temperature
3) optimization of the camera settings including exposure & focus.
4) raw data collection
5) selection of positive reactions to be normalized to 100%
6) curve fitting process
7) positioning of the line for time to positivity (TP)
8) graphics showing the processed LAMP assay curves, r-squared value and calculated unknown sample concentration
9) the raw data can be exported as CSV files and the data can be reprocessed by returning to the previous window