Synergy between UV light and trichloroisocyanuric acid on methylisothiazolinone degradation: Performance, kinetics and degradation pathway.

Methylisothiazolinone (MIT) is widely used in daily chemicals, fungicides, and other fields and its toxicity has posed a threat to water system and human health. In this study, ultraviolet (UV)/trichloroisocyanuric acid (TCCA), which belongs to advanced oxidation processes (AOP), was adopted to degrade MIT. Total chlorine attenuation detection proved that TCCA has medium UV absorption and a strong quantum yield (0.49 mol E-1). At a pH of 7.0, 93.5% of MIT had been decontaminated after 60 min in UV/TCCA system (kobs = 4.4 × 10-2 min-1, R2 = 0.978), which was much higher than that in the UV alone system and TCCA alone system, at 65% (1.7 × 10-2 min-1, R2 = 0.995) and 10% (1.8 × 10-3 s-1, R2 = 0.915), respectively. This system also behaved well in degrading other five kinds of contaminants. Tert-butanol (TBA) and carbonate (CO32-) were separately used in quenching experiments, and the degradation efficiency of MIT decreased by 39.5% and 46.5% respectively, which confirmed that HO• and reactive chlorine species (RCS) were dominant oxidants in UV/TCCA system. With TCCA dosage increasing in a relatively low concentration range (0.02-0.2 mM) and pH decreasing, the effectiveness of this AOP system would be strengthened. The influences of coexisting substances (Cl-, SO42-, CO32-, NO2- and NO3-) were explored. MIT degradation pathways were proposed and sulfur atom oxidation and carboxylation were considered as the dominant removal mechanisms of MIT. Frontier orbital theory and Fukui indexes of MIT were employed to further explore the degradation mechanism.

New molecular evolutionary characteristics of H9N2 avian influenza virus in Guangdong Province, China.

To understand the evolution of H9N2 avian influenza virus genotype and its molecular evolution rate, we systematically analyzed 72 H9N2 avian influenza virus sequences isolated from Guangdong province from 2014 to 2018. We found three genotypes (G57, G68, and G118) of the H9N2 avian influenza virus, of which G118 is a newly discovered genotype and G57 is the dominant genotype. The internal gene cassette of the G57 genotype H9N2 avian influenza virus is a stable combination that can easily transport internal genes to other novel avian influenza viruses, and the internal gene cassettes of the G68 and G118 are identical to those of G57.In addition, we estimated the nucleotide substitution rate of the HA and NA genes of the H9N2 influenza virus from 2014 to 2018.The nucleotide substitution rate of HA and NA genes showed an upward trend in 2015 and 2016. In the past two years, H9N2 avian influenza virus recombination has produced genotype G68, which disappeared in 2014 for one year. And very coincidentally, in 2015, there was a new genotype G118. We observed that the emergence of new genotypes was accompanied by a slight increase in overall nucleotide substitution rate. Therefore we hypothesize that the emergence of new genotypes could accelerate the molecular evolution rate of genes. Our research shows that the H9N2 avian influenza virus in Guangdong province has been undergoing intense evolution, demonstrating the need to strengthen influenza surveillance in the region.

Detection of a novel highly pathogenic H7 influenza virus by duplex real-time reverse transcription polymerase chain reaction.

On February 19, 2017, China announced that the mutant H7N9 virus appeared in human cases, which showed molecular characteristic of highly pathogenic virus for poultry. In this study, a duplex real-time reverse transcription polymerase chain reaction (rRT-PCR) assay was developed for distinguish between highly pathogenic H7 virus and low pathogenic H7 virus. The sensitivity, specificity, stability and conformance tests were conducted for this method. The data showed that the new method is sensitive. The minimum detection limit for the RNA of highly pathogenic H7 virus is 0.0052fg and the minimum detection limit for the RNA of low pathogenic H7 virus is 0.36fg. The method gave specific results in detecting novel highly pathogenic H7 virus and will play an important role in the rapid identification of novel highly pathogenic H7 virus.