Three phase partitioning as a rapid and efficient method for purification of plant-esterase from wheat flour

Three-phase partitioning (TPP) was used to purify plant-esterase from wheat flour. Effect of various process parameters has been evaluated and plant-esterase was purified to 11.35-fold by optimized single step TPP system (50%, (w/v) (NH4)2SO4 saturation, 1:1 (v/v) ratio of crude extract: t-butanol at pH 4).The enzyme was found to be exclusively partitioned in the aqueous phase. Using TPP system, plant-esterase quickly purified to homogeneity with very high purity and activity. On the basis of single factor research, purification process was optimized by using response surface method, established a new type of high efficient purification plant-esterase method. To the best of our knowledge, this is the first report for purification and characterization of plant-esterase by using three phase partitioning (TPP). The results indicated that, TPP is a simple, quick, economical and very attractive process for purification of plant-esterase compared to conventional chromatographic protocols

Three phase partitioning as a rapid and efficient method for purification of plant-esterase from wheat flour

Three-phase partitioning (TPP) was used to purify plant-esterase from wheat flour. Effect of various process parameters has been evaluated and plant-esterase was purified to 11.35-fold by optimized single step TPP system (50%, (w/v) (NH4)2 SO4 saturation, 1:1 (v/v) ratio of crude extract: t-butanol at pH 4).The enzyme was found to be exclusively partitioned in the aqueous phase. Using TPP system, plant-esterase quickly purified to homogeneity with very high purity and activity. On the basis of single factor research, purification process was optimized by using response surface method, established a new type of high effcient purification plant-esterase method. To the best of our knowledge, this is the first report for purification and characterization of plant-esterase by using three phase partitioning (TPP). The results indicated that, TPP is a simple, quick, economical and very attractive process for purification of plant-esterase compared to conventional chromatographic protocols

Three phase partitioning as a rapid and efficient method for purification of plant-esterase from wheat flour

Three-phase partitioning (TPP) was used to purify plant-esterase from wheat flour. Effect of various process parameters has been evaluated and plant-esterase was purified to 11.35-fold by optimized single step TPP system (50%, (w/v) (NH4)2 SO4 saturation, 1:1 (v/v) ratio of crude extract: t-butanol at pH 4).The enzyme was found to be exclusively partitioned in the aqueous phase. Using TPP system, plant-esterase quickly purified to homogeneity with very high purity and activity. On the basis of single factor research, purification process was optimized by using response surface method, established a new type of high effcient purification plant-esterase method. To the best of our knowledge, this is the first report for purification and characterization of plant-esterase by using three phase partitioning (TPP). The results indicated that, TPP is a simple, quick, economical and very attractive process for purification of plant-esterase compared to conventional chromatographic protocols

Facile synthesis of CeO2/g-C3N4 nanocomposites with significantly improved visible-light photocatalytic activity for hydrogen evolution

Ceria dioxide supported on graphitic carbon nitride (CeO2/g-C3N4) composites were facilely synthesized to be application for photocatalytic hydrogen (H-2) generation in this present work. The physical and chemical properties of CeO2/g-C3N4 nanocomposites were determined via a series of characterizations. The CeO2/g-C3N4 composites prepared by facile thermal annealing and rotation-evaporation method exhibit excellent photocatalytic H-2 evolution with visible-light illumination. The best hydrogen generation rate of CeO2/g-C3N4 composite with 1.5 wt% Pt is 0.83 mmol h(-1) g(-1), which is almost same as that of composite with 3 wt% Pt prepared by simple physical mixing method. The significantly developed photocatalytic activity of CeO2/g-C3N4 composite is majorly ascribed to the stronger interfacial effects with the more visible-light absorbance and faster electron transfer. This work reveals that construction of the CeO2/g-C3N4 composite with high disperse and close knit by the facile thermal annealing and rotation-evaporation method could be an effective method to achieve excellent photocatalytic hydrogen evolution performance. (C) 2019 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved

BI or IB: Which Better Generates High Spatiotemporal Resolution NDSI by Fusing Sentinel-2A/B and MODIS Data?

Snow cover is a sensitive indicator of climate change. Normalized difference snow index (NDSI) acquired from optical remote sensing data is usually used for monitoring snow cover, but the existing data are limited in spatiotemporal resolution. Here, we compared two blending strategies, blend-then-index (BI) and index-then-blend (IB), for generating high spatiotemporal resolution NDSI (daily, 20 m), and designed two groups of experiments (simulated and real) under three different snow cover periods over the Tibetan Plateau (TP). The flexible spatiotemporal data fusion (FSDAF) model was used as the fusion model. MODIS (daily, 500 m) and Sentinel-2A/B (2–5 days, 20 m) data were used as the inputs. The accuracy of the fused NDSI was evaluated from both spectral [root mean square error (RMSE), correlation coefficient (R), and average difference (AD)] and spatial (Robert's edge and local binary pattern) dimensions. Our results showed that the IB strategy produced more accurate NDSI results, with lower RMSE, higher R, and AD closer to zero compared to the BI strategy. In addition, there was no obvious difference in terms of texture between the two fusion strategies. Generally, the IB strategy is a better choice for generating a high spatiotemporal resolution NDSI through the FSDAF model under different snow cover periods on the TP. This study can provide effective guidelines for producing better high-resolution NDSI time series on the TP

Natural variation of GmFNSII-2 contributes to drought resistance by modulating enzyme activity in soybean

As an essential crop that provides vegetable oil and protein, soybean (Glycine max (L.) Merr.) is widely planted all over the world. However, the scarcity of water resources worldwide has seriously impacted on the quality and yield of soybean. To address this, exploring excellent genes for improving drought resistance in soybean is crucial. In this study, we identified natural variations of GmFNSII-2 (flavone synthase II) significantly affect the drought resistance of soybeans. Through sequence analysis of GmFNSII-2 in 632 cultivated and 44 wild soybeans nine haplotypes were identified. The full-length allele GmFNSII-2C, but not the truncated allele GmFNSII-2A possessing a nonsense nucleotide variation, increased enzyme activity. Further research found that GmDREB3, known to increase soybean drought resistance, bound to the promoter region of GmFNSII-2C. GmDREB3 positively regulated the expression of GmFNSII-2C, increased flavone synthase abundance and improved the drought resistance. Furthermore, a single-base mutation in the GmFNSII-2C promoter generated an additional drought response element (CCCCT), which had stronger interaction strength with GmDREB3 and increased its transcriptional activity under drought conditions. The frequency of drought-resistant soybean varieties with Hap 1 (Pro:GmFNSII-2C) has increased, suggesting that this haplotype may be selected during soybean breeding. In summary, GmFNSII-2C could be used for molecular breeding of drought-tolerant soybean

Smartphone-Based Platforms for Clinical Detections in Lung-Cancer-Related Exhaled Breath Biomarkers: A Review

Lung cancer has been studied for decades because of its high morbidity and high mortality. Traditional methods involving bronchoscopy and needle biopsy are invasive and expensive, which makes patients suffer more risks and costs. Various noninvasive lung cancer markers, such as medical imaging indices, volatile organic compounds (VOCs), and exhaled breath condensates (EBCs), have been discovered for application in screening, diagnosis, and prognosis. However, the detection of markers still relies on bulky and professional instruments, which are limited to training personnel or laboratories. This seriously hinders population screening for early diagnosis of lung cancer. Advanced smartphones integrated with powerful applications can provide easy operation and real-time monitoring for healthcare, which demonstrates tremendous application scenarios in the biomedical analysis region from medical institutions or laboratories to personalized medicine. In this review, we propose an overview of lung-cancer-related noninvasive markers from exhaled breath, focusing on the novel development of smartphone-based platforms for the detection of these biomarkers. Lastly, we discuss the current limitations and potential solutions

Estimation of Urban Ecosystem Services Value: A Case Study of Chengdu, Southwestern China

Research on the service values of urban ecosystems is a hot topic of ecological studies in the current era of rapid urbanization. To quantitatively estimate the ecosystem service value in Chengdu, China from the perspectives of natural ecology and social ecology, the technologies of remote sensing (RS) and geographic information system (GIS) are utilized in this study to extract the land use type information from RS images of Chengdu in 2003, 2007, 2013 and 2018. Subsequently, a driver analysis of the ecosystem services of Chengdu was performed based on socioeconomic data from the last 16 years. The results indicated that: (1) from 2003 to 2018, the land utilization in Chengdu changed significantly, with the area of cultivated lands, forest lands and water decreasing remarkably, while the area of construction lands dramatically increased. (2) The ecosystem services value (ESV) of Chengdu decreased by 30.92% in the last 16 years, from CNY 2.4078 × 1010 in 2003 to CNY 1.6632 × 1010 in 2018. Based on a future simulation, the ESV is further predicted to be reduced to CNY 1.4261 × 1010 by 2033. (3) The ESV of Chengdu showed a negative correlation with the total population, the urbanization rate and the per capita GDP of the region, indicating that the ESV of the studied region was inter-coupled with the socioeconomic development and can be maintained at a high level through rationally regulating the socioeconomic structure

Estimation of Urban Ecosystem Services Value: A Case Study of Chengdu, Southwestern China

Research on the service values of urban ecosystems is a hot topic of ecological studies in the current era of rapid urbanization. To quantitatively estimate the ecosystem service value in Chengdu, China from the perspectives of natural ecology and social ecology, the technologies of remote sensing (RS) and geographic information system (GIS) are utilized in this study to extract the land use type information from RS images of Chengdu in 2003, 2007, 2013 and 2018. Subsequently, a driver analysis of the ecosystem services of Chengdu was performed based on socioeconomic data from the last 16 years. The results indicated that: (1) from 2003 to 2018, the land utilization in Chengdu changed significantly, with the area of cultivated lands, forest lands and water decreasing remarkably, while the area of construction lands dramatically increased. (2) The ecosystem services value (ESV) of Chengdu decreased by 30.92% in the last 16 years, from CNY 2.4078 × 1010 in 2003 to CNY 1.6632 × 1010 in 2018. Based on a future simulation, the ESV is further predicted to be reduced to CNY 1.4261 × 1010 by 2033. (3) The ESV of Chengdu showed a negative correlation with the total population, the urbanization rate and the per capita GDP of the region, indicating that the ESV of the studied region was inter-coupled with the socioeconomic development and can be maintained at a high level through rationally regulating the socioeconomic structure