Near-infrared spectroscopy(NIRS) combined with band screening method and modeling algorithm can be used to achieve the rapid and non-destructive detection of the traditional Chinese medicine(TCM) production process. This paper focused on the ginkgo leaf macroporous resin purification process, which is the key technology of Yinshen Tongluo Capsules, in order to achieve the rapid determination of quercetin, kaempferol and isorhamnetin in effluent. The abnormal spectrum was eliminated by Mahalanobis distance algorithm, and the data set was divided by the sample set partitioning method based on joint X-Y distances(SPXY). The key information bands were selected by synergy interval partial least squares(siPLS); based on that, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA) and Monte Carlo uninformative variable(MC-UVE) were used to select wavelengths to obtain less but more critical variable data. With selected key variables as input, the quantitative analysis model was established by genetic algorithm joint extreme learning machine(GA-ELM) algorithm. The performance of the model was compared with that of partial least squares regression(PLSR). The results showed that the combination with siPLS-CARS-GA-ELM could achieve the optimal model performance with the minimum number of variables. The calibration set correlation coefficient R_c and the validation set correlation coefficient R_p of quercetin, kaempferol and isorhamnetin were all above 0.98. The root mean square error of calibration(RMSEC), the root mean square error of prediction(RMSEP) and the relative standard errors of prediction(RSEP) were 0.030 0, 0.029 2 and 8.88%, 0.041 4, 0.034 8 and 8.46%, 0.029 3, 0.027 1 and 10.10%, respectively. Compared with the PLSR me-thod, the performance of the GA-ELM model was greatly improved, which proved that NIRS combined with GA-ELM method has a great potential for rapid determination of effective components of TCM.
Algorithms ; Ginkgo biloba ; Least-Squares Analysis ; Plant Leaves ; Spectroscopy, Near-Infrared

AIM:To observe the effect of antisense locked nucleic acid (anti-LNA) blocking the translation initiation region of c-myc exon 2 on the viability and apoptosis of hepatocellular carcinoma cells.METHODS:The antiLNA that was complementary to the translation initiation region of c-myc exon 2 was designed,synthesized,and introduced into the HepG2 cells by cationic liposome-mediated transfection.The mRNA and protein levels of c-Myc in the cells were determined by RT-PCR and Western blot.The change of cell apoptosis was analyzed by flow cytometry,and the toxicity of anti-LNA to the cells was detected by MTT assay.RESULTS:Five days after transfection,the mRNA level of c-Myc in anti-LNA group was 0.335 ±0.016,and the protein level was 0.448 ± 0.037,significantly lower than those in control group (both P ＜ 0.05).The ratio of apoptotic cells in anti-LNA group was 32％ ±-6％,which was higher than that in control group (P ＜ 0.05).CONCLUSION:Antisense locked nucleic acid targeting at the translation initiation region of cmyc exon 2 shows strong inhibitory effects on the apoptosis of hepatocellular carcinoma cells.