Chitosan inhibits Penicillium expansum possibly by binding to DNA and triggering apoptosis.

Chitosan is a natural polysaccharide that is abundant, biocompatible and exhibits effective antifungal activity against various pathogenic fungi. However, the potential intracellular targets of chitosan in pathogenic fungi and the way of activity of chitosan are far from well known. The present work demonstrated that chitosan could inhibit Penicillium expansum, the principal causal agent of postharvest blue mold decay on apple fruits, by binding to DNA and triggering apoptosis.

Characterization of Bacillus velezensis E2 with abilities to degrade ochratoxin A and biocontrol against Aspergillus westerdijkiae fc-1.

Ochratoxin A (OTA), primarily produced by the fungi belonging to the species of Aspergillus and Penicillium, is one of the most common mycotoxins found in cereals and fruits. In addition to resulting in huge economic losses, OTA contamination also poses considerable threat to human and livestock health. Microbial degradation of mycotoxins has been considered with great potential in mycotoxins decontamination.

Cellular uptake of chitosan and its role in antifungal action against Penicillium expansum.

Chitosan has wide-spectrum antimicrobial activity but knowledge of its antifungal mechanism is still incomplete. In this study, transcriptome of Penicillium expansum upon chitosan treatment was analyzed by RNA-Seq. KEGG enrichment analysis revealed that endocytosis as well as other physiological pathways was regulated by chitosan treatment.

Isolation and characterization of a Pseudomonas poae JSU-Y1 with patulin degradation ability and biocontrol potential against Penicillium expansum.

Patulin, one of the most common mycotoxins produced primarily by the Penicillium, Aspergillus and Byssochlamys species, is often associated with fruits and fruit-based products. Biodegradation by microbes is an effective method to remove or detoxify mycotoxins. In this study, a bacterial strain with patulin degradation capability was selectively isolated using oxindole, an analogue to patulin, as the sole carbon source, and identified as Pseudomonas poae JSU-Y1 by phylogenetic analysis on the basis of 16S rRNA sequence.

Quality assessment of instant green tea using portable NIR spectrometer.

Caffeine and catechin are two main components of instant green tea, and are essential components of tea quality. This paper mainly focuses on the feasibility of rapidly determining instant green tea components by using a portable near infrared (NIR) spectrometer. The two main components (caffeine and catechin) were studied.

Cognitive spectroscopy for evaluating Chinese black tea grades (Camellia sinensis): near-infrared spectroscopy and evolutionary algorithms.

Background: Grading represents an essential criterion for the quality assurance of black tea. The main objectives of the study were to develop a highly robust model for Chinese black tea of seven grades based on cognitive spectroscopy.

Results: Cognitive spectroscopy was proposed to combine near-infrared spectroscopy (NIRS) with machine learning and evolutionary algorithms, selected feature information from complex spectral data and show the best results without human intervention.

Qualitative discrimination of Chinese dianhong black tea grades based on a handheld spectroscopy system coupled with chemometrics.

The evaluation of Chinese dianhong black tea (CDBT) grades was an important indicator to ensure its quality. A handheld spectroscopy system combined with chemometrics was utilized to assess CDBT from eight grades. Both variables selection methods, namely genetic algorithm (GA) and successive projections algorithm (SPA), were employed to acquire the feature variables of each sample spectrum.

[Epidemiological analysis on leprosy in China, 2009].

Objective: To study the epidemiological characteristics of leprosy and to provide evidence for specific strategies development on leprosy control.

Methods: Descriptive analysis of data from the national leprosy surveillance system was carried out in 2009.

Results: A total number of 1597 new cases were detected in 2009 with a case detection rate of 0.