A novel detection method for wheat aging based on the delayed luminescence.

Wheat aging plays an important role in assessing storage wheat quality and its subsequent processing purposes. The conventional detection methods for wheat aging are mainly involved in chemical techniques, which are time-consuming as well as waste part of wheat samples for each detection. Although some physical detection methods have obtained gratifying results, it is extremely hard to expand their application fields but to stay in the theory stage. For this reason, a novel nondestructive detection model for wheat aging based on the delayed luminescence (DL) has been proposed in this paper. Specifically, after collecting enough sample data, we first took advantage of certain hyperbolic function to fit DL signal, and then used four parameters of the hyperbolic function to feature the decay trend of the DL signal. Secondly, in order to better feature the DL signal, we extracted other six features together with above four features to form the input feature vector. Finally, as the bidirectional long short-term memory (Bi-LSTM) network lacked error-correcting performance, the Bi-LSTM network based on Walsh coding (Walsh-Bi-LSTM) mechanism was proposed to establish the detection model, which made the detection model have the error-correcting performance by reasonably splitting the multi-classification target task. Shown by experimental results, the newly proposed wheat aging detection model is able to achieve 94.00% accuracy in the testing dataset, which can be used as a green and nondestructive method to timely reflect wheat aging states.

Quantitative Detection of Translocation ETS Leukemia-Acute Myeloid Leukemia 1 Fusion Gene in Children with Acute Leukemia and Its Clinical Application in Minimal Residual Disease Monitoring / 实用儿科临床杂志

Objective To develop a method of real-time quantitative polymerase chain reaction (RQ-PCR) for detection of translocation ETS leukemia-acute myeloid leukemia 1(TEL-AML1) fusion gene in children with acute lymphoblast leukemia(ALL),and explore its clinical application in minimal residual disease (MRD) monitoring.Methods By reverse transcription and RQ-PCR,a quantifying of TEL-AML1 fusion gene was developed,and the expression levels of TEL-AML1 were detected in bone marrow (BM) samples obtained from 24 children with ALL at diagnosis and at the end of induction of remission,as well as at a series of follow-up. Moreover,the results of MRD detection by RQ-PCR were compared with that of detection by routine morphological examine of BM and cells differentiation mark analysis by flow cytometer(FCM),to evaluate the sensitivity of RQ-PCR in MRD monitoring. Results A method of RQ-PCR targeted at TEL-AML1 fusion gene was established. In 11 BM samples,which collected from TEL-AML1 positive children at the end of induction therapy and all of them achieved completely remission (CR) by routine morphological examine,5 samples were found to be MRD positive by RQ-PCR,positive ratio was 45%. There were 15 BM samples collected in maintenance therapy period,and all these samples were CR by routine morphological examine. However,by RQ-PCR,3 out of 15 samples were found to be MRD positive during maintenance therapy period. After intense and maintenance therapy,the MRD levels of the 3 children were declined to negative. In a recrudescent child,the expression of TEL-AML1 fusion gene was rose by a magnitude of 103 copies before relapse,and after induction therapy once again the patient was completely relaxed.Conclusions RQ-PCR targeted at TEL-AML1 has a higher sensitivity than conventional morphologic way and FCM. RQ-PCR can be used in the quantitative detection of MRD,and provide gist for early prognosticating a relapse and instructing clinical therapy.