Objective To develop a phenylketonuria (PKU) screening method based on a compact disk (CD) type microfluidic chip capable of generating reciprocating flow within the microchannels that facilitate rapid DNA hybridization. Methods This microfluidic device consists of a two-layer structure: a polydimethylsiloxane (PDMS) top layer containing 12 DNA hybridization microchannels, and a bottom glass layer with immobilized hydrogel conjugated DNA arrays. The DNA arrays included R243Q, V245V and the blank control probes. When the CD device was spun, the PCR products were driven into the hybridization channel by centrifugal force. When the rotation of the CD device was stopped, capillary force pulled the PCR products solution to flow back to the channel. After the on-chip hybridization, the hybridization signals were captured on a fluorescence microscope. The specificity, detection limitation and reproducibility of this device were evaluated. Thirty DNA samples from pregnant women with suspected PKU were detected by this device.Then the results were compared with DNA sequencing results. Results With the compact disk type microfluidic chip, the hybridization time could be reduced to 15 min, sample consume could be as low as 1. 5 μl and the detection limitation was 0. 7 ng/μl. With the chip based method, samples of PKU patients and healthy controls were detected and the results were consistent with DNA sequencing results. Five different batches of chips and five micro-channels of each chip were selected to test one PKU patients with V245V mutation. All the results were positive, indicating good reproducibility. Four cases of V245V mutation and 1 case of R243Q mutation were found in 30 suspected PKU carried pregnant women. Conclusion The compact disk microfluidic device has advantages of simple, rapid and highly sensitive, thus is well suited to PKU screening.

Dual-energy computed tomography (CT) reconstruction imaging technology is an important development direction in the field of CT imaging. The mainstream model of dual-energy CT reconstruction algorithm is the basis material decomposition model, and the projection decomposition is the crucial technique. The projection decomposition algorithm based on projection matching was a general method. With establishing the energy spectrum lookup table, we can obtain the stable solution by the least squares matching method. But the computation cost will increase dramatically when size of lookup table enlarges and it will slow down the computer. In this paper, an acceleration algorithm based on projection matching is proposed. The proposed algorithm makes use of linear equations and plane equations to fit the lookup table data, so that the projection value of the decomposition coefficients can be calculated quickly. As the result of simulation experiment, the acceleration algorithm can greatly shorten the running time of the program to get the stable and correct solution.