[Community Composition and Assessment of the Aquatic Ecosystem of Periphytic Algae in the Yangtze River Basin].

To explore the periphytic algae community structure in the Yangtze River basin, samples were collected from 130 sampling sites, including the source to the estuary along the mainstream of the Yangtze River, eight primary tributaries, and the tributary of the Three Gorges area. The periphytic algae densities of different areas in the mainstream of the Yangtze River ranked from high to low were the upstream area, source area, middle and lower area, and the Jinsha River. The high periphytic algae density in the upstream area was associated with the shift in nutrition level, and the high periphytic algae density in the source area was associated with human activity. The spatial pattern of the periphytic algae community in the whole main stream from west to east presented the alternating dominance of Bacillariophyta and Cyanophyta; the Bacillariophyta (Navicula) had a competitive advantage in the main stream, and the distribution of the periphytic algae community was driven by total nitrogen, total phosphorus, and pH. For the tributary of the Yangtze River, the periphytic algae density in the Three Gorges tributary area was far higher than those in the eight primary tributaries; the periphytic algae community was dominated by Cyanophyta (Lyngbya), which had a competitive advantage in the tributaries of the Yangtze River. The distribution of the periphytic community was driven by dissolved oxygen and pH. According to the diversity analysis and assessment, the periphytic algae community in the source area showed lower species richness and higher evenness, thus leading to a high α-diversity and good assessment result (mesosaprobic zone). The middle and lower reaches of the Yangtze River also showed the same assessment result, the mesosaprobic zone. However, the community evenness of the middle and lower reaches was significantly lower than that of the source area, thus making the middle and lower reaches of the Yangtze River have a significantly lower α-diversity than that of the source area. All areas of the Yangtze River showed good water quality assessment; however, different areas had different WQI index numbers, and the assessment results of the WQI index were inconsistent with the results of the aquatic assessment. Therefore, a comprehensive assessment of aquatic ecosystem health should use both aquatic assessments and water quality assessments.

Assessment of plastic pollution in the Bohai Sea: Abundance, distribution, morphological characteristics and chemical components.

Plastics are globally distributed in oceans and can pose a threat to the environment and organisms. In this study, plastic pollution in surface water and sediments of the Bohai Sea was assessed based on plastic abundance, distribution and characteristics (shape, polymer, size and color). Water and sediment samples were collected across the sea using a plankton net (330 µm) and a grab sampler, respectively. The following conclusions were reached. 1) In surface water, large plastics were less abundant (0.14 items/m3) and showed less diverse characteristics than microplastics (0.79 items/m3) but did not significantly differ in spatial distribution. 2) Microplastics in water were more abundant (1.95 items/m3) with more diverse characteristics in Liaodong Bay than in other regions of the sea (0.26-0.59 items/m3). Plastic waste from highly concentrated agricultural, industrial and fishery activities could make large contributions to microplastics in Liaodong Bay. Additionally, low hydrodynamics and long distance to Bohai Strait are unfavorable for diffusion of particles, facilitating the retention of microplastics and increasing the abundance in this bay. 3) Microplastics in sediments were smaller in terms of dominant sizes (<0.5 mm) with less diverse characteristics than particles in water (0.5-1.5 mm). Specifically, fragments, foams and lines dominated among the microplastics in water, whereas fibers and fragments were dominant particles in sediments; alkyd resin, polyethylene, polystyrene and polypropylene (PP) predominated among the particles in water, but rayon, cellulose and PP were dominant particles in sediments. 4) Neither abundance nor size of microplastics in the two media was proportionally correlated and showed low similarity indexes of polymer (0.16), shape (0.29) or color (0.38). This could be related to mismatch in spatiotemporal distributions and variations in the characteristics, fate and behavior of microplastics in the two media. The findings provide knowledge for tracing the sources of plastics in the Bohai Sea.

CCFS: A Confidence-Based Cost-Effective Feature Selection Scheme for Healthcare Data Classification.

Feature selection (FS) is one of the fundamental data processing techniques in various machine learning algorithms, especially for classification of healthcare data. However, it is a challenging issue due to the large search space. Binary Particle Swarm Optimization (BPSO) is an efficient evolutionary computation technique, and has been widely used in FS. In this paper, we proposed a Confidence-based and Cost-effective feature selection (CCFS) method using BPSO to improve the performance of healthcare data classification. Specifically, first, CCFS improves search effectiveness by developing a new updating mechanism that designs the feature confidence to explicitly take into account the fine-grained impact of each dimension in the particle on the classification performance. The feature confidence is composed of two measurements: the correlation between feature and categories, and historically selected frequency of each feature. Second, considering the fact that the acquisition costs of different features are naturally different, especially for medical data, and should be fully taken into account in practical applications, besides the classification performance, the feature cost and the feature reduction ratio are comprehensively incorporated into the design of fitness function. The proposed method has been verified in various UCI public datasets and compared with various benchmark schemes. The thoroughly experimental results show the effectiveness of the proposed method, in terms of accuracy and feature selection cost.

Safety assessment and antioxidant evaluation of betulin by LC-MS combined with free radical assays.

Betulin, as a new type of natural food preservative, is widely used in various kinds of meat products. However, its detailed mechanism of action and metabolism have not been clarified. In this study, for further gain insight of the mechanism of betulin as a preservative, an efficient method has been applied for measuring the antioxidant capacity of betulin, based on the absorbance of the DPPH• and ABTS• radical cation. When the concentration of betulin was more than 2.0 mg/mL, the scavenging rate of ABTS and DPPH radical reached over 90%, which was equivalent to the antioxidant capacity of Trolox. It is indicated that betulin has significant DPPH and ABTS free radical scavenging ability. This should be one of the important mechanisms for betulin as a preservative. A sensitive method using UHPLC-Q-TOF-MS/MS was established to determine the metabolite profile in vivo and in vitro of betulin. 32 phase I and 2 phase II metabolites were structurally characterized. This study will provide theoretical support for the safety and effectiveness of betulin in the field of preservatives and provide theoretical basis for the further study of betulin and the other natural preservatives. This research also contributes to the development of the food industry.

Bioaccumulation of heavy metals and health risk assessment in three benthic bivalves along the coast of Laizhou Bay, China.

This study investigated the tissue- and species-specific bioaccumulation of heavy metals (Cr, Cu, Hg, Zn, As, Cd, and Pb) in three benthic bivalves (the ark shell, Scapharca subcrenata; the surf clam, Mactra veneriformis; and the Manila clam, Ruditapes philippinarum) collected from the coast of Laizhou Bay in the Bohai Sea. The results demonstrated that the visceral masses of the bivalves tended to accumulate heavy metals more efficiently than their muscles. The capacities of the bivalves to bioaccumulate metals followed a similar order: Cd>Hg>Zn=As>Cu>Cr=Pb. The conditions of metal contamination in the bivalves tended to be worse along the eastern coast than in other regions. Overall, the Manila clam was more severely contaminated by heavy metals than the surf clam and ark shell. Judging by the hazard quotients (HQ) of the metals in the muscles of the bivalves, the greatest hazard risk to human health comes primarily from As.

Determination of cnidilin and its two metabolites in rat bile and stool after oral administration by HPLC/electrospray ionization tandem mass spectrometry.

A simple, fast and sensitive method for the simultaneous determination of cnidilin and its two metabolites (M1 and M2) in rat bile and stool using HPLC coupled with electrospray ionization tandem mass spectrometry (HPLC-ESI-MS/MS) has been developed. The sample pretreatment was simple, because methanol was the only additive used for dilution of bile and ultrasound of stool. Pimpinellin was used as internal standard (IS). The separation was performed on a reverse phase C18 column with gradient elution consisting of 0.5‰ aqueous formic acid and methanol (containing 0.5‰ formic acid). The detection was in the multiple-reaction monitoring mode within 7 min. All the analytes were in accordance with the requirement of the validation of the method in vivo (linearity, precision, accuracy, limit of detection and limit of quantification). After oral administrating 24 mg/kg of the prototype drug cnidilin, M1 and M2 were determined in bile within 36 h, and in stool within 60 h. Cnidilin in bile was completely excreted in 24 h, and the main excretive amount of cnidilin was 80% in the first 6 h, but the drug recovery in bile within 24 h was <1.95%. In stool, the main excretive amount of cnidilin was 95.8% in the first 24 h, and the drug recovery within 48 h was lower than 1.48%.