Integrated characterization of arabica coffee husk tea using flavoromics, targeted screening, and in silico approaches.

This study aimed to identify the key volatile compounds in two types of processed arabica coffee husk tea, elucidate their olfactory characteristics, and investigate their antioxidant and anti-inflammatory activities. Sensory evaluation indicated differences between the two groups. A total of 64 and 99 compounds were identified in the C and FC groups, respectively, with 5 identified as key aroma compounds (ROAV≥1). Molecular simulations indicated that four common key aroma compounds were successfully docked with OR1A1 and OR5M3 receptors, forming stable complexes. Furthermore, 14 volatile compounds interacted with 140 targets associated with oxidation and inflammation, linking to 919 gene ontology (GO) terms and 135 kyoto encyclopedia of genes and genomes (KEGG) pathways. Molecular simulations revealed that these volatile components showed antioxidant and anti-inflammatory effects by interacting with core receptors through several forces, including van der Waals, Pi-alkyl, and Pi-cation interactions and hydrogen bonds.

Single-Well Simulation for Horizontal Wells in Fractured Gas Condensate Reservoirs.

Fractured gas condensate reservoirs (FGCR) are a complex, special, and highly valuable type of gas reservoir, accounting for a significant proportion of gas reservoir development. In recent years, with the continuous advancement of horizontal well technology, it has become the main approach for the development of FGCR. The current model is unable to accurately represent the fluid distribution in the near-well area of horizontal wells due to the unique retrograde condensation phenomenon in GCR. Additionally, the presence of fractures complicates the solution of traditional analytical models. In response to this issue, this paper proposes a novel semianalytical model for horizontal wells in FGCR, which incorporates natural fractures, multiphase flow, and the influence of stress sensitivity on pressure response. A dual-porosity model is employed to simulate fractured reservoirs, and a four-region radial composite model is developed to characterize multiphase flow resulting from retrograde condensation in GCR. The pseudopressure transform, Pedrosa transform, Laplace transform, and Finite Cosine transform are utilized to address the nonlinear partial differential equation. A systematic verification of the semianalytical solution is confirmed through a comparison with the numerical solution from computer modeling group (CMG). We thoroughly explain the physical significance of the various features by identifying the 12 flow regimes of the typical curve. Furthermore, we offer a method for assessing the extent of retrograde condensation and the size of the retrograde condensate region based on the curve's characteristics. Finally, the pressure measurements recorded from the Bohai field are carried out to validate the accuracy of the proposed model. The results show that the predictions of the new model are in good agreement with the actual production data, demonstrating the proposed solution's applicability.

Prenatal progesterone treatment modulates fetal brain transcriptome and impacts adult offspring behavior in mice.

Maternal exposure to elevated levels of steroid hormones during pregnancy is associated with the development of chronic conditions in offspring that manifest in adulthood. However, the effects of progesterone (P4) administration during early pregnancy on fetal development and subsequent offspring behavior remain poorly understood. In this study, we aimed to investigate the effects of P4 treatment during early pregnancy on the transcript abundance in the fetal brain and assess the behavioral consequences in the offspring during adolescence and adulthood. Using RNA-seq analysis, we examined the impact of P4 treatment on the fetal brain transcriptome in a dosage-dependent manner. Our results revealed differential regulation of genes involved in neurotransmitter transport, synaptic transmission, and transcriptional regulation. Specifically, we observed bidirectional regulation of transcription factors (TFs) by P4 at different doses, highlighting the critical role of these TFs in neurodevelopment. To assess behavioral outcomes, we conducted open field and elevated plus maze tests. Offspring treated with low-dose P4 (LP4) displayed increased exploratory behavior during both adolescence and adulthood. In contrast, the high-dose P4 (HP4) group exhibited impaired exploration and heightened anxiety-like behaviors compared to the control mice. Moreover, in a novel object recognition test, HP4-treated offspring demonstrated impaired object recognition memory during both developmental stages. Additionally, both LP4 and HP4 groups showed reduced social interaction in the three-chamber test. These results suggest that prenatal exposure to P4 exerts a notable influence on the expression of genes associated with neurodevelopment and may induce alterations in behavioral characteristics in progeny, highlighting the need to monitor progesterone levels during pregnancy for long-term impacts on fetal brain development and behavior.

Analysis of severe fever with thrombocytopenia syndrome cluster in east China.

BACKGROUND: Severe fever with thrombocytopenia syndrome (SFTS) is a common tick-borne, natural focal disease. SFTS virus (SFTSV) transmission can occur between family members through close contact with an infected patient. In this study, we explored the possible transmission route of an outbreak cluster in east China. METHOD: A case-control study was carried out to analyze the potential risk factors for person-to-person transmission. Bunia virus was detected by IgM antibody, enzyme-linked immunosorbent assay, and reverse transcription polymerase chain reaction. Chi-square, univariate, and multivariate analyses were performed to calculate the association of possible risk factors for SFTSV transmission. RESULTS: Two patients had a clear history of blood and aerosols contact, and one may be exposed to aerosols in a closed environment. Five close contacts of the Index patient were IgM-positive and three were IgM and SFTSV RNA positive. Exposure to a poorly ventilated space where the corpse was stored (χ2 = 5.49, P = 0.019) and contact with the Index patient's contaminated items (χ2 = 15.77, P < 0.001) significantly associated with SFTSV infection. CONCLUSION: We suspect that the cluster outbreak was possibly a person-to-person transmission of SFTSV, which may have been transmitted by directly contacting with blood of SFTS patient. The propagation of aerosols in closed environments is also an undeniable transmission.

Semianalytical Modeling for Multiphase Flow in a Fractured Low-Permeability Gas Condensate Reservoir.

During the production of fractured low-permeability gas condensate reservoir (FLPGCR), a phase transition takes place in both the formation and wellbore, resulting in multiphase flow when the pressure drops below the dew point pressure. Additionally, the presence of fractures causes the formation of stress-sensitive characteristics. Nevertheless, traditional analytical models, such as the two-region model or three-region model, overlook the coupling impact of the above factors, which could lead to incorrect pressure transient response and erroneous estimation of well and formation parameters. Therefore, this work presents a semianalytical model for an FLPGCR considering the effects of multiphase flow, stress-sensitive, and wellbore phase redistribution. The gas condensate reservoir is divided into N banks, and the radial fluid saturation variation is modeled by multiple annular reservoirs with a constant saturation in each annular reservoir. The behavior of a fractured reservoir is modeled by using the dual-porosity model. The Pedrosa transform was utilized to address the nonlinear differential equation arising from stress-sensitive behavior. To verify the semianalytical solution, it was compared with numerical simulation results from CMG. The results showed that there are 10 flow regimes for the proposed model. The shape of the type curve has the potential to identify the degree of blockage within the FLPGCR. The wellbore phase redistribution only affects the first transitional-flow regime, which slows the rate of pressure drop. The stress sensitivity will lead to the upward characteristic of the curve in a later stage. More attention should be paid to the upward pressure derivative curve at late times, which is conventionally regarded as the effect of a closed boundary when it may not be the case. In addition, the shape factor and composite radius may obscure the radial flow regime. Finally, the proposed model was applied to interpret the pressure measurements recorded from the Bohai field in China, which exhibits a better fitting quality than the traditional models.

Phylogeny-based assignment of functional traits to DNA barcodes outperforms distance-based, in a comparison of approaches.

The full potential for using DNA barcodes for profiling functional trait diversity has yet to be determined in plants and animals; thus, we outline a general framework for quantifying functional trait diversity of insect community DNA and propose and assess the accuracy of three methods for achieving this. We built a novel dataset of traits and DNA barcodes for wild bees in China. An informatics framework was developed for phylogeny-based integration of these data and prediction of traits for any subject barcodes, which was compared with two distance-based methods. For Phylogenetic Assignment, we additionally conducted a species-level analysis of publically available bee trait data. Under the specimen-level dataset, the rate of trait assignment was negatively correlated with distance between the query and the nearest trait-known reference, for all methods. Phylogenetic Assignment was found to perform best under several criteria; particularly, it had the lowest false-positive rate (rarely returning a state prediction where success was unlikely; where the distance from query to the nearest reference was high). For a wider range of compiled traits, conservative life-history traits showed the highest rates of assignment; for example, sociality was predicted with confidence at 53%, parasitism at 44% and nest location at 33%. As outlined herein, automated trait assignment might be applied at scale to either barcodes or metabarcodes. With further compilation and databasing of DNA barcode and trait data, the rate and accuracy of trait assignment is expected to increase to the point of being a widely viable and informative approach.

Epidemiological Characteristics and Risk Factors of Severe Fever With Thrombocytopenia Syndrome in Yantai City, Shandong Province.

Background: To better understand the epidemiological characteristics and risk factors associated with the incidence of severe fever with thrombocytopenia syndrome (SFTS) in Yantai City, Shandong Province, China. Methods: The SFTS data from 2010 to 2019 were obtained from the National Notifiable Disease Reporting System, and visualization was performed using ArcGIS 10. A community-based, 1:2 matched case-control study was conducted to investigate the risk factors for SFTS in Yantai City. Standardized questionnaires were used to collect detailed information about the demographics and risk factors for SFTSV infection. Results: A total of 968 laboratory-confirmed SFTS cases were reported, 155 (16.01%) of which were fatal. The SFTS epidemic curve revealed that most cases occurred from May to August, accounting for 77.27% of all studied cases. The SFTS cases were mainly distributed in Lai Zhou, Penglai, Zhaoyuan, Haiyang, and Qixia from 2010 to 2019 (accounting for 83.47% of all cases). No differences in demographics were observed between the cases and controls. In the multivariate analysis, presence of rats in the household (odds ratio [OR] = 2.89, 95% confidence interval [CI] = 1.94-4.30), bitten by the ticks 1 month before the onset of symptoms (OR = 15.97, 95% CI = 5.36-47.60), and presence of weeds and shrubs around the house (OR = 1.70, 95% CI = 1.12-2.60) were found to be the risk factors for SFTS. Conclusions: Our results support the hypothesis that ticks are important vectors of the SFTS virus. Education on SFTS prevention and personal hygiene should be imparted in high-risk populations, especially among outdoor workers living in SFTS-endemic areas, while vector management should also be considered.

An integrative bioinformatics pipeline shows that honeybee-associated microbiomes are driven primarily by pollen composition.

The microbiomes associated with bee nests influence colony health through various mechanisms, although it is not yet clear how honeybee congeners differ in microbiome assembly processes, in particular the degrees to which floral visitations and the environment contribute to different aspects of diversity. We used DNA metabarcoding to sequence bacterial 16S rRNA from honey and stored pollen from nests of 4 honeybee species (Apis cerana, A. dorsata, A. florea, and A. laboriosa) sampled throughout Yunnan, China, a global biodiversity hotspot. We developed a computational pipeline integrating multiple databases for quantifying key facets of diversity, including compositional, taxonomic, phylogenetic, and functional ones. Further, we assessed candidate drivers of observed microbiome dissimilarity, particularly differences in floral visitations, habitat disturbance, and other key environmental variables. Analyses revealed that microbiome alpha diversity was broadly equivalent across the study sites and between bee species, apart from functional diversity which was very low in nests of the reclusive A. laboriosa. Turnover in microbiome composition across Yunnan was driven predominantly by pollen composition. Human disturbance negatively impacted both compositional and phylogenetic alpha diversity of nest microbiomes, but did not correlate with microbial turnover. We herein make progress in understanding microbiome diversity associated with key pollinators in a biodiversity hotspot, and provide a model for the use of a comprehensive informatics framework in assessing pattern and drivers of diversity, which enables the inclusion of explanatory variables both subtly and fundamentally different and enables elucidation of emergent or unexpected drivers.

Comparative cryogenic extraction rehydration experiments reveal isotope fractionation during root water uptake in Gramineae.

Determining whether isotope fractionation occurs during root water uptake is a prerequisite for using stem or xylem water isotopes to trace water sources. However, it is unclear whether isotope fractionation occurs during root water uptake in gramineous crops. We conducted prevalidation experiments to estimate the isotope measurement bias associated with cryogenic vacuum distillation (CVD). Next, we assessed isotope fractionation during root water uptake in two common agronomic crops, wheat (Triticum aestivum L.) and maize (Zea mays L.), under flooding after postdrought stress conditions. Cryogenic vacuum distillation caused significant depletion of 2 H but negligible effects on 18 O for both soil and stem water. Surprisingly CVD caused depletion of 2 H and enrichment of 18 O in root water. Stem and root water δ18 O were more than soil water δ18 O, even considering the uncertainty of CVD. Soil water 18 O was depleted compared with irrigation water 18 O in the pots with plants but enriched relative to irrigation water 18 O in the pots without plants. These results indicate that isotope fractionation occurred during wheat and maize root water uptake after full irrigation and led to a heavy isotope enrichment in stem water. Therefore, the xylem/stem water isotope approach widely used to trace water sources should be carefully evaluated.

Hemin loaded Zn-N-C single-atom nanozymes for assay of propyl gallate and formaldehyde in food samples.

Single-atom nanozymes (SAzymes) show distinct advantages in catalytic activity and selectivity owing to their stability and special characteristic of maximum atomic utilization. Inspired by the structure of natural horseradish peroxidase (HRP), we developed a simple method for specific determination of both propyl gallate (PG) and formaldehyde (HCHO) by utilizing the intrinsic peroxidase mimics activity of hemin (hem) loaded Zn-nitrogen-carbon single-atom nanozymes (Zn-N-C@hem SAzymes). Zn-N-C@hem was prepared via a salt-template strategy and self-assembly, where hemin exhibits enhancing peroxidase-like activity can catalyze oxidation of colorless PG to yellow product. Upon introduction of HCHO into Zn-N-C@hem/PG system, complete suppression of PG oxidation was showed, resulting in distinguished decrease in absorbance. The colorimetric sensors of PG and HCHO based on Zn-N-C@hem/PG were developed at their respective linear range of concentration 1.25-200 mg/kg and 5-250 mg/kg. The practicability of the rapid analysis of PG and HCHO in food samples has been verified with reliable results.

RhizoVision Crown: An Integrated Hardware and Software Platform for Root Crown Phenotyping.

Root crown phenotyping measures the top portion of crop root systems and can be used for marker-assisted breeding, genetic mapping, and understanding how roots influence soil resource acquisition. Several imaging protocols and image analysis programs exist, but they are not optimized for high-throughput, repeatable, and robust root crown phenotyping. The RhizoVision Crown platform integrates an imaging unit, image capture software, and image analysis software that are optimized for reliable extraction of measurements from large numbers of root crowns. The hardware platform utilizes a backlight and a monochrome machine vision camera to capture root crown silhouettes. The RhizoVision Imager and RhizoVision Analyzer are free, open-source software that streamline image capture and image analysis with intuitive graphical user interfaces. The RhizoVision Analyzer was physically validated using copper wire, and features were extensively validated using 10,464 ground-truth simulated images of dicot and monocot root systems. This platform was then used to phenotype soybean and wheat root crowns. A total of 2,799 soybean (Glycine max) root crowns of 187 lines and 1,753 wheat (Triticum aestivum) root crowns of 186 lines were phenotyped. Principal component analysis indicated similar correlations among features in both species. The maximum heritability was 0.74 in soybean and 0.22 in wheat, indicating that differences in species and populations need to be considered. The integrated RhizoVision Crown platform facilitates high-throughput phenotyping of crop root crowns and sets a standard by which open plant phenotyping platforms can be benchmarked.

Refined micro-scale geological disaster susceptibility evaluation based on UAV tilt photography data and weighted certainty factor method in Qingchuan County.

Frequent geological disasters based on a range of precipitating factors occur in areas with fragile geological environments, and the traditional artificial geological disaster survey method is often too dangerous to be carried out effectively. In order to achieve more efficient influence factors and refine the evaluation of micro-scale geological disaster susceptibility, this paper used UAV tilt photography and image processing technology to construct a 3D model of the geological environment. Geological disaster influence factors were extracted from a typical geological disaster area within Qingchuan County, Sichuan Province. A weighted certainty factor method and information model method were used to evaluate geological disaster susceptibility. The geological disaster susceptibility index of different characteristic variables was calculated using a certainty factors method, while factor weight was determined using an information model. The geological environment "potentiality parameter" for each grid unit, taken as the basis of geological disaster susceptibility zoning in the area, was calculated by coupling factor weight and CF value. Finally, the ROC test method was used to verify evaluation results of geological hazard susceptibility. This study found that: (1) UAV tilt photogrammetry data can be an effective method for geological disaster susceptibility evaluation. (2) The areas under the ROC curve calculated using the two methods were 66.20% and 81.71%, respectively, showing that accuracy of the weighted certainty factor method was higher than that of the information method.

Crop breeding has increased the productivity and leaf wax n-alkane concentration in a series of five winter wheat cultivars developed over the last 60 years.

Plant wax n-alkanes are a major constituent of the leaf and grain surface. In this study, we explored what can be learned from the abundance and carbon isotopic composition (δ13C) of n-alkanes in historical winter wheat cultivars. We investigated leaf and grain wax n-alkane concentration (ΣalkLand ΣalkG) and carbon isotopes (δ13CalkL and δ13CalkG) on C29 as well as bulk leaf and grain carbon isotopes (δ13CbulkL and δ13CbulkG) to assess if these wax components changed across five wheat cultivars released from the 1950s to the early 2010s. Results showed that ΣalkL and grain yield increased, while δ13CalkL and δ13CbulkL decreased across the historical wheat cultivars. We found a significant correlation between ΣalkL and shoot biomass at the early growth stage, and a strong correlation between ΣalkL at the grain-filling stage and grain yield. Grain measures, including ΣalkG, δ13CalkG, and δ13CbulkG did not correlate with crop production. Although δ13CalkL and grain yield were not correlated at the flowering stage, they were correlated at the grain-filling stage under dry conditions. Our results indicate that increased ΣalkL has been indirectly selected in breeding efforts to improve crop production in winter wheat, suggesting that greater leaf waxiness confers advantages for crop growth.

Water can be a probe for sensing glucose in aqueous solutions by temperature dependent near infrared spectra.

Near infrared (NIR) spectra are sensitive to the variation on water structure caused by perturbations, such as temperature and additives. In this work, water was applied as a probe to detect glucose in aqueous glucose solutions and human serum samples. Spectral changes of water were captured from the temperature dependent NIR spectra using multilevel simultaneous component analysis (MSCA). The first and second level model were established to describe the quantitative spectra-temperature relationship (QSTR) and the quantitative spectra-concentration relationship (QSCR), i.e., the calibration curve, respectively. The score of the first level model shows that the content of free OH in water molecules increases with temperature elevation. The correlation coefficients (R2) of the QSTR model between the score and temperature are higher than 0.99, and that of the calibration model (QSCR) between the spectral features of water clusters and the concentration of glucose are 0.99 and 0.84 for glucose solutions and serum samples, respectively. External validation of the calibration model was further performed with human serum samples. The standard error of the prediction is 0.45. In addition, the linearity of the QSCR models may reveal that glucose interacts with small water clusters and enhances the formation of the hydration shell. Therefore, using water as a probe may provide a new way for quantitative determination of the analytes in aqueous solutions by NIR spectroscopy.

Assessing the Impact of Air Pollution on Grain Yield of Winter Wheat - A Case Study in the North China Plain.

The major wheat production region of China the North China Plain (NCP) is seriously affected by air pollution. In this study, yield of winter wheat (Triticum aestivum L.) was analyzed with respect to the potential impact of air pollution index under conditions of optimal crop management in the NCP from 2001 to 2012. Results showed that air pollution was especially serious at the early phase of winter wheat growth significantly influencing various weather factors. However, no significant correlations were found between final grain yield and the weather factors during the early growth phase. In contrast, significant correlations were found between grain yield and total solar radiation gap, sunshine hour gap, diurnal temperature range and relative humidity during the late growing phase. To disentangle the confounding effects of various weather factors, and test the isolated effect of air pollution induced changes in incoming global solar radiation on yield under ceteris paribus conditions, crop model based scenario-analysis was conducted. The simulation results of the calibrated Agricultural Production Systems Simulator (APSIM) model indicated that a reduction in radiation by 10% might cause a yield reduction by more than 10%. Increasing incident radiation by 10% would lead to yield increases of (only) 7%, with the effects being much stronger during the late growing phase compared to the early growing phase. However, there is evidence that APSIM overestimates the effect of air pollution induced changes on radiation, as it does not consider the changes in radiative properties of solar insulation, i.e. the relative increase of diffuse over direct radiation, which may partly alleviate the negative effects of reduced total radiation by air pollution. Concluding, the present study could not detect a significantly negative effect of air pollution on wheat yields in the NCP.

[Correlation between the expression level of coiled-coil domain-containing protein 80 and obesity].

OBJECTIVE: To explore the relationship between expression of coiled-coil domain-containing protein 80(CCDC80) and obesity in serum and adipose tissues. METHODS: A cross-sectional survey was conducted in a hospital in Tangshan in September 2010. 100 people including 78 healthy people and 22 with type-2 diabetes were recruited. Another 36 female patients with benign tumor of Obstetrics and Gynecology were also recruited. Demographic characteristics and serum samples were collected from all subjects, basic biochemical indicators were tested. All subjects were divided into 'Normal Weight' and 'Overweight and Obese' according to their BMI (BMI <24.0 kg/m(2); BMI≥24 kg/m(2)). Serum CCDC80 of the 100 subjects was detected by ELISA. Visceral and subcutaneous fat were derived from the other 36 female subjects, and Real-time PCR was used to detect CCDC80 mRNA expression in adipose tissues. Pearson correlation and multiple linear regression were used to analyze the correlation between serum or adipose CCDC80 expression and waist, BMI, and other biochemical indicators. RESULTS: The age of 100 subjects was (52.9±8.4) years old. 44% of them were women (44 cases) and 56% of them were men (56 cases). After dividing them into three groups according to their BMI, covariance analysis were conducted, and age and gender were adjusted. The HDL-C level was significantly different among three groups (F = 10.73, P < 0.001): 'Overweight and obese combined with diabetes' group ((0.90±0.06) mmol/L)< 'Overweight and obese' group ((1.14±0.04) mmol/L) < 'Normal weight' group ((1.28±0.05) mmol/L). The adjusted expression of serum CCDC80 of the 100 subjects was (5.84±0.16) pg/ml, (5.81±0.98) pg/ml among men and (5.97±0.89) pg/ml among women, and there was no significant difference (t = -0.812, P = 0.419) between genders. ANOVA revealed that there was no significant differences of the expression of serum CCDC80 among three groups (F = 1.06, P = 0.351), 'Normal weight' group was (5.84±0.16) pg/ml, 'overweight and obese' group was (6.11±0.14) pg/ml, and 'Overweight and obese combined with diabetes' group was (5.84±0.19) pg/ml. The analysis showed that FBG had a negative correlation with serum CCDC80 (R(b) = -0.223, P = 0.026). Multivariate linear regression had a similar result, with 1 mmol/L increase of serum FBG, serum CCDC80 decreases for 0.24 pg/ml (ß = -0.24, 95% CI: -0.21--0.02). There was also a negative correlation between serum CCDC80 and FBG in overweight and obese people (R(a) = -0.368, P = 0.013). Besides, CCDC80 mRNA was detected in both subcutaneous and visceral adipose tissue of 36 cases, the expression level was 0.06±0.02 for subcutaneous fat, was 0.05±0.04 for visceral fat, and the expression in visceral fat was lower (0.05±0.03) than that in subcutaneous fat (0.06±0.03) (t = 2.50, P = 0.025) among overweight and obese group. There was a negative correlation between waist and visceral CCDC80 mRNA expression (r = -0.472, P = 0.035). CONCLUSION: This study suggested that CCDC80 may be involved in energy and insulin metabolism, and plays a protective role in obesity and diabetes.

[Research progress on water footprint in agricultural products].

Water is one of the important resources in human activities. Scientifically and rationally evaluating the effects of human activities on water resources is important for sustainable water resource management. The innovative concepts of water footprint (WF) distinguished the human water consumption into green water, blue water and grey water which extended the evaluation methods in sustainable utilization of water resources. Concepts of WF based on virtual water (VW) and based on life cycle assessment (LCA) both combined water quality and water quantity are now the focuses in agricultural water management researches. Theory of WF based on VW includes the calculation of green, blue and grey WF as well as the evaluation of the sustainability of water environment. Theory of WF based on LCA reflects the overall impact of consumptive and degradative water use on the environment. The purpose of this article was to elaborate the research progresses in theoretical calculation methods and environmental sustainability assessment of the two water footprint theories and then to analyze the differentiation of these two methodologies in describing the consumptive water use in agriculture and its effects on environment. Finally, some future research aspects on water footprint were provided.

Multilevel analysis of temperature dependent near-infrared spectra.

Quantitative spectra-temperature relationship (QSTR) between near-infrared (NIR) spectra and temperature has been used for quantitative determination of the compositions in mixtures. In this work, QSTR is studied using multilevel simultaneous component analysis (MSCA) and the spectral data of the samples with different concentrations measured at different temperatures. MSCA model contains a between-individual model describing the differences between the individuals and a within-individual model capturing the differences within the data of all the individuals. NIR spectra of five different compositions (water-ethanol-isopropanol) measured at seven temperatures were analyzed. A between-temperature model describing the effect of temperature and a within-temperature model describing the variation of concentration were obtained, from which QSTR model is established and quantitative analysis is achieved. Furthermore, the difference between the between-temperature or within-temperature models of different mixtures is used to study the composition of the solvent.

[Effects of soybean isoflavone on body weight and food utilization rate in ovariectomized rats].

OBJECTIVE: To investigate the inhibitory action of phytoestrogen soybean isoflavone on body weight increasing in ovariectomized rats that imitated postmenopausal women and the effect of decreasing food availability. METHODS: Four-month-old Wistar rats were sham-operated or ovariectomized by abdominal cavity operation and divided into Sham, Ovx, estrogen group(EC) and three isoflavone group and feed 16 weeks. The diet was prepared by ourselves and some contained diethylstilbestrol or different concentration of isoflavone. During the experiment, the rats weight and food intake were recorded. The food utilization rates of each group were calculated. RESULTS: The result showed that high dosage of soybean isoflavone (187.4 mg/kg bw x d) can significantly inhibited OVX induced weight gain and inhibitory action decreased with the dose reduce. Compared with Sham and Ovx group, the food intake of isoflavone group decreased significantly but no different in 3 dosage group and higher than EC group. Compared with Ovx group, the food utilization rates of high isoflavone group decreased significantly but higher than EC group. Isoflavone not influenced the growth and organ/body rates of rats. CONCLUSION: High dosage of isoflavone (187.4mg/kg bw x d) decreased OVX rat's weight gain significantly through reducing food utilization rate.