Widely targeted metabolomic and KEGG analyses of natural deep eutectic solvent-based saponins extraction from Camellia oleifera Abel.: Effects on composition.

Camellia saponins are important by-products of Camellia Oleifer Abel. processing. In this study, an eco-friendly method based on natural deep eutectic solvents (NaDESs, proline and glycerol at a molar ratio of 2:5) was established to extract saponins from C.oleifera cakes. The content of saponin (702.22 ± 1.28 mg/g) obtained using NaDES was higher than those extracted using water or methanol. UPLC-Q-TOF MS analysis of chemical structure showed that the difference in the extraction technique alter individual saponins. A widely targeted metabolomic approach and KEGG metabolic pathway analysis showed that the upregulated metabolites in the NaDES-based extract mainly included flavonoids, alkaloids, and phenolic acids; and they were involved in arginine and proline metabolism, metabolic pathways, phenylpropanoid biosynthesis, biosynthesis of secondary metabolites, and flavonoid biosynthesis. The present study proposes a selective substitute for use in the extraction of camellia saponins with composition analysis.

A Novel Ionic Conductive Polyurethane Based on Deep Eutectic Solvent Continuing Traditional Merits.

Artificial intelligence (AI) has become increasingly popular along with the development of the bionic neural system. Ionic conductors play an important role in the AI system due to the ability of bionic sensing and signal transporting. Traditional low-polarity elastomers possess outstanding mechanical strength and stability, such as polyurethane, which is difficult to be directly endowed with ionic conductivity without impairing its properties. Herein, we have first put forward a new approach to synthesize a liquid-free ionic conductive polyurethane (CPU) through one-step copolymerization between a green deep eutectic solvent (DES) and a prepolymer of polyurethane. The as-prepared CPU can retain the native properties of the traditional polyurethane (PU) such as the homogeneous phase, ease of molding, high transparency (about 93.3%), and excellent mechanical properties. By introducing the DES as the covalent cross-linking agent and ionic conductor at the same time, the CPU also has fine ionic conductivity (3.78 × 10-5 S cm-1), environmental resistance like anti-freezing (-20 °C), and solvent resistance. Based on the excellent conductivity and mechanical strength, the flexible CPU can be applied as a sensing element in pressure sensors. The CPU-based sensor has presented long-term stability, high sensitivity, and wide-ranging response (0.17-3.28 MPa) to the applied pressure, which will be suitable for the industrial demands for practical applications.

A Method for Identifying the Spatial Range of Mining Disturbance Based on Contribution Quantification and Significance Test.

Identifying the spatial range of mining disturbance on vegetation is of significant importance for the plan of environmental rehabilitation in mining areas. This paper proposes a method to identify the spatial range of mining disturbance (SRMD). First, a non-linear and quantitative relationship between driving factors and fractional vegetation cover (FVC) was constructed by geographically weighted artificial neural network (GWANN). The driving factors include precipitation, temperature, topography, urban activities, and mining activities. Second, the contribution of mining activities (Wmine) to FVC was quantified using the differential method. Third, the virtual contribution of mining activities (V-Wmine) to FVC during the period without mining activity was calculated, which was taken as the noise in the contribution of mining activities. Finally, the SRMD in 2020 was identified by the significance test based on the Wmine and noise. The results show that: (1) the mean RMSE and MRE for the 11 years of the GWANN in the whole study area are 0.0526 and 0.1029, which illustrates the successful construction of the relationship between driving factors and FVC; (2) the noise in the contribution of mining activities obeys normal distribution, and the critical value is 0.085 for the significance test; (3) most of the SRMD are inside the 3 km buffer with an average disturbance distance of 2.25 km for the whole SRMD, and significant directional heterogeneity is possessed by the SRMD. In conclusion, the usability of the proposed method for identifying SRMD has been demonstrated, with the advantages of elimination of coupling impact, spatial continuity, and threshold stability. This study can serve as an early environmental warning by identifying SRMD and also provide scientific data for developing plans of environmental rehabilitation in mining areas.

Effects of n-6 PUFA-rich soybean oil, MUFA-rich olive oil and camellia seed oil on weight and cardiometabolic profiles among Chinese women: a 3-month double-blind randomized controlled-feeding trial.

Previous studies have suggested that replacing saturated fat with unsaturated fat is beneficial for cardiometabolic health. However, research that directly compares the effects of polyunsaturated fatty acids (PUFAs) and monounsaturated fatty acids (MUFAs) is rare. The present 3-month, three-arm, randomized, controlled-feeding trial aimed to investigate the effects of n-6 PUFA- and MUFA-rich cooking oils on body weight and cardiometabolic profiles among middle-aged and elderly Chinese women at high cardiovascular risk. Ninety participants were recruited and randomly assigned to groups fed diets using n-6 PUFA-rich soybean oil (SO, n = 30), MUFA-rich olive oil (OO, n = 30), and MUFA-rich camellia seed oil (CSO, n = 30) as cooking oils considering traditional Chinese eating habits for 3 months. Participants were required to eat only the foods provided for lunch and dinner, and avoid intake of edible oils in breakfast. Body weight and cardiovascular profiles were measured at the baseline, middle, and end of the intervention, and group differences in changes of outcomes during intervention were examined by a linear mixed model. We found no significant difference in the changes of body weight among the SO group (mean change, 0.31 kg; 95% CI, -0.88 to 0.27), the OO group (mean change, -0.13 kg; 95% CI, -0.62 to 0.36), and the CSO group (mean change, -0.72 kg; 95% CI, -1.38 to -0.07). For secondary outcomes, the OO group showed a slight increase in HDL cholesterol (P = 0.03), while the CSO group showed greater reduction in aspartate aminotransferase (AST) (P = 0.02) when compared with the SO group. These results suggested that MUFA-rich OO and CSO exerted more favorable effects on cardiometabolic profiles among middle-aged and elderly Chinese women at high cardiovascular risk than the n-6 PUFA-rich SO.

Exogenous application of jasmonic acid induces volatile emissions in rice and enhances parasitism of Nilaparvata lugens eggs by the parasitoid Anagrus nilaparvatae.

Jasmonate signaling pathway plays an important role in induced plant defense against herbivores and pathogens, including the emission of volatiles that serve as attractants for natural enemies of herbivores. We studied the volatiles emitted from rice plants that were wounded and treated with jasmonic acid (JA) and their effects on the host-searching behavior of the rice brown planthopper, Nilaparvata lugens (Stål), and its mymarid egg parasitoid Anagrus nilaparvatae Pang et Wang. Female adults of N. lugens significantly preferred to settle on JA-treated rice plants immediately after release. The parasitoid A. nilaparvatae showed a similar preference and was more attracted to the volatiles emitted from JA-treated rice plants than to volatiles from control plants. This was also evident from greenhouse and field experiments in which parasitism of N. lugens eggs by A. nilaparvatae on plants that were surrounded by JA-treated plants was more than twofold higher than on control plants. Analyses of volatiles collected from rice plants showed that JA treatment dramatically increased the release of volatiles, which included aliphatic aldehydes and alcohols, monoterpenes, sesquiterpenes, methyl salicylate, n-heptadecane, and several as yet unidentified compounds. These results confirm an involvement of the JA pathway in induced defense in rice plants and demonstrate that the egg parasitoid A. nilaparvatae exploits plant-provided cues to locate hosts. We explain the use of induced plant volatiles by the egg parasitoid by a reliable association between planthopper feeding damage and egg presence.

[Analysis of ant oil extracted with supercritical CO2 fluid from Polyrhachis vicina by GC-MS].

OBJECTIVE: To study the optimum extraction parameters and components on ant oil from Polyrhachis vicina. METHOD: The optimum condifious for supercritical CO2 fluid extraction (SFE-CO2), were investigated with orthogonal design, GC-MS was applied for analyzing. The components and their contents in the ant oil were analyzed by GC-MS, and the contents of lead, zinc and manganese in the oil were determined by ICP-AES. RESULT: The optimum extraction parameters were achieved, temperature of 50 degrees C, pressure of 30 MPa and time of 2 hours. The extracting yield of the ant volatile oil was 11.4% - 14.3%. 51 Constituents were identified including 9-octadecenoic acid, ethyl oleate, cholesterol, n- Hexadecanoic acid, etc, and the content of various constituents was determined by orea normalization. The oil contained unsaturated fatty acid of 64.6%, lead of 0.80 microg x g(-1), zinc of 0.54 microg x g(-1) and manganese of 0.15 microg x g(-1). CONCLUSION: The method showes advantages including faster and efficient of extraction, good quality and no solvent residues in the oil.