Prediction of adsorption performance of ZIF-67 for malachite green based on artificial neural network using L-BFGS algorithm.

Given the necessity and urgency in removing organic pollutants such as malachite green (MG) from the environment, it is vital to screen high-capacity adsorbents using artificial neural network (ANN) methods quickly and accurately. In this study, a series of ZIF-67 were synthesized, which adsorption properties for organic pollutants, especially MG, were systematically evaluated and determined as 241.720 mg g-1 (25 â„ƒ, 2 h). The adsorption process was more consistent with pseudo-second-order kinetics and Langmuir adsorption isotherm, which correlation coefficients were 0.995 and 0.997, respectively. The chemisorption mechanism was considered to be π-π stacking interaction between imidazole and aromatic ring. Then, a Python-based neural network model using the Limited-memory BFGS algorithm was constructed by collecting the crucial structural parameters of ZIF-67 and the experimental data of batch adsorption. The model, optimized extensively, outperformed similar Matlab-based ANN with a coefficient of determination of 0.9882 and mean square error of 0.0009 in predicting ZIF-67 adsorption of MG. Furthermore, the model demonstrated a good generalization ability in the predictive training of other organic pollutants. In brief, ANN was successfully separated from the Matlab platform, providing a robust framework for high-precision prediction of organic pollutants and guiding the synthesis of adsorbents.

Development of a novel immunoperoxidase monolayer assay for detection of swine Hepatitis E virus antibodies based on stable cell lines expressing the ORF3 protein.

Hepatitis E virus (HEV) strains are classified into 4 genotypes by nucleotide sequencing. Genotypes 3 and 4 infect humans and animals via HEV-contaminated food or water. HEV RNA was detected by PCR and antibodies were detected by ELISA. Since human studies showed that HEV IgG antibodies in sera can persist for extended periods, diagnosis of HEV infection in swine or humans is mainly based on serological detection using commercial ELISA kits. However, there is no supplemental method to verify ELISA results. Hence, we developed a novel method used for mutual correction of these common processes. Here, a modified stable HepG2 cell line was transfected with pcDNA3.1-ORF3 to express the swine HEV ORF3 protein. Based on this cell line, a novel immunoperoxidase monolayer assay (IPMA) was developed to detect antibodies against HEV. The results show that this method has good specificity, sensitivity and repeatability. When used to investigate 141 porcine serum samples, the IPMA had a coincidence rate of 92.2% with a commercial ELISA kit. The established IPMA described herein is valuable as a supplemental method to ELISA and can differentiate infections by HEV and other viruses.

Comparative analysis of microRNAs from the lungs and trachea of dogs (Canis familiaris) infected with canine influenza virus.

MicroRNAs (miRNAs) are a class of endogenous non-coding small RNAs of 18-22-nucleotides in length that regulate gene expression at the post-transcriptional level. The objective of this study was to examine the differences in the miRNA expression profiles of the lungs and trachea of beagle dogs infected with canine influenza virus (CIV). Total RNA was isolated from lung and trachea tissues of beagle dogs infected and non-infected with H3N2 CIV at 4 dpi. A total of 41,512,315 and 39,107,475 reads were obtained from the lung and trachea, respectively. Out of a total 288 dog miRNAs available in miRBase, 227 and 236 miRNAs were detected in the infected (Fg) and the non-infected lungs (Fc), respectively, whereas 242 miRNAs were detected in both the infected (Qg) and the non-infected trachea (Qc). From these, 34 and 45 miRNAs were differentially expressed in the lungs and trachea between the infected and non-infected dogs, respectively. More miRNAs were highly expressed in the non-infected tissues than in the infected tissues. miR-143 was the most abundantly expressed miRNA in the four samples, followed by let-7. In total, 252, 234, 196 and 235 novel miRNAs were identified in the Fc, Fg, Qc, and Qg groups, respectively. To our knowledge, this is the first study examining the miRNA gene expression in CIV infected dogs using the Solexa sequencing approach. We have revealed the existence of a large number miRNAs that are affected by CIV infection as well as identified some potentially new miRNAs. These findings will help us better understand the host-CIV interaction and its relationship to pathogenesis, as well as contribute to the prevention and control of CIV.

Expression and Antibody Preparation of GP5a Gene of Porcine Reproductive and Respiratory Syndrome Virus.

Porcine reproductive and respiratory syndrome (PRRS) is considered one of the most important infectious diseases to affect the swine industry and characterized by reproductive failure in late term gestation in sows and respiratory disease in pigs of all ages. The GP5a gene, encoding RNA-dependent RNA polymerase, is generally regarded as fairly conserved when compared to other viral proteins. It plays an important role in the process of duplication and transcription carried out by Porcine reproductive and respiratory syndrome virus (PRRSV). We firstly expressed and purified the GP5a protein of PRRSV. This provides a good method for the purification of expressed proteins and the preparation of the corresponding antibodies.

Microbiological identification and analysis of Swine lungs collected from carcasses in Swine farms, china.

The primary objective of this 3 years study was to determine the prevalence of porcine pathogens of the lungs of swine in swine farms in southern China. A total of 5,420 samples were collected from 200 swine farms. The bacterium that was most commonly isolated was Streptococcus suis, with 10.24 % of the samples being positive, 114 lungs (2.1 %) were positive for pseudorabies virus and 263 (4.85 %) were positive for classical swine fever virus; much lower than positive for PRRSV (15.1 %, p = 0.023) and PCV2 (13.8 %, p = 0.038). lungs that were positive for PRRSV and/or PCV-2 have significantly increased odds of being positive for any of the S. suis (9.79 vs. 0.44 %, p = 0.003).

Simple and rapid detection of swine hepatitis E virus by reverse transcription loop-mediated isothermal amplification.

Hepatitis E virus (HEV) is an enteric pathogen of humans and animals, and pigs have been considered an important reservoir of this virus. Recent evidence has indicated the cross-species transmission of hepatitis E virus (HEV) from pigs to humans, causing zoonosis, mostly via consumption of uncooked or undercooked animal meat/viscera. In this study, we have developed a one-step RT-LAMP assay for rapid detection of swine HEV. Specific primer sets targeting the ORF3 gene were designed. The sensitivity of the RT-LAMP assay was 10(1) copies/µl of RNA template, which was tenfold higher than that of RT-nPCR. The specificity of this assay was demonstrated by the lack of amplification of DNA/RNA from other swine viruses. Furthermore, a total of 41 bile samples were subjected to RT-LAMP and RT-nPCR. Eighteen positive samples were detected by RT-nPCR, while 36 positive samples were detected by RT-LAMP, indicating that the sensitivity of the RT-LAMP assay was higher than that of the conventional RT-nPCR assay. The RT-LAMP assay reported here may be used for diagnosis of swine HEV, not only in laboratories but also under field conditions.