In vitro simulated digestion and fermentation characteristics of pectic polysaccharides from fresh passion fruit (Passiflora edulis f. flavicarpa L.) peel.

In this study, two pectic polysaccharides (PFP-T and PFP-UM) were extracted from fresh passion fruit peels using three-phase partitioning (TPP) and sequential ultrasound-microwave-assisted TPP methods, respectively, and their effects on the in vitro gastrointestinal digestion and fecal fermentation characteristics were examined. The results indicate that gastrointestinal digestion has a minimal effect on the physicochemical and structural characteristics of PFP-T and PFP-UM. However, during in vitro fecal fermentation, both undigested PFP-T and PFP-UM are significantly degraded and utilized by intestinal microorganisms, showing increased the total relative abundance of Firmicutes and Bacteroidota in the intestinal flora. Notably, compared with PFP-UM, PFP-T better promoted the reproduction of beneficial bacteria such as Prevotella, Megasphaera and Dialister, while suppressed the growth of harmful genera including Escherichia-Shigella, producing higher content of short-chain fatty acids. Therefore, our findings suggest that PFP-T derived from passion fruit peel has potential as a dietary supplement for promoting intestinal health.

Protective effect of metoprolol on arrhythmia and heart rate variability in healthy people with 24 hours of sleep deprivation.

PURPOSE: Sleep deprivation, which is a strong stressor, can greatly affect the cardiovascular system of rescue workers. This study aimed to investigate the effect of 24-h sleep deprivation on heart rate variability (HRV) in young healthy people and the protective effect of metoprolol on arrhythmia. METHODS: Sixty young, healthy subjects (6 women and 54 men), aged 25 ± 4.5 years, were enrolled in this study. All participants received 24-h continuous ambulatory electrocardiogram monitoring. Arrhythmia, time, and frequency domain parameters were analyzed in subjects at the following three stages: normal sleep stage, sleep deprivation stage, and metoprolol treatment before sleep deprivation stage. RESULTS: After 24-h sleep deprivation, the high frequency (HF) of HRV was significantly decreased (p < 0.05), low frequency (LF) was remarkably increased (p < 0.05), and LF/HF was significantly increased compared with those in normal sleep (p < 0.05). Some subjects presented with mild palpitation due to premature atrial complexes and premature ventricular complexes. At the metoprolol treatment stage, compared with the sleep deprivation stage, LF and LF/HF were significantly reduced, HF of HRV was elevated (p < 0.05), and the total amount of premature atrial and ventricular complexes was decreased. CONCLUSION: The underlying mechanism of arrhythmia and HRV alteration after 24-h sleep deprivation could be attributable to lower vagal activity and elevated sympathetic activity. Metoprolol improves the change in autonomic nervous system activity after 24-h sleep deprivation, which may be responsible for its protective role on arrhythmia in healthy subjects undergoing sleep deprivation.

Adsorption and kinetic behavior of recombinant multifunctional xylanase in hydrolysis of pineapple stem and bagasse and their hemicellulose for Xylo-oligosaccharide production.

A recombinant multifunctional xylanase (RMFXase) was utilized to hydrolyze xylan in pineapple stems and bagasse. The feasibility of using RMFXase and the two agricultural by-products for producing Xylo-oligosaccharides was demonstrated. Adsorption dynamics showed that lignin and cellulose delayed the adsorption equilibrium. The adsorption data fit the Langmuir-type adsorption isotherm. The extent of hydrolysis was quantified by measuring the reducing and total sugars in substrate-RMFXase complexes at 50°C. The substrates had similar hydrolysis characteristics. Differences in the maximum hydrolysis rate (HR) and the time of maximum were obtained. The HR(max) of water-insoluble oat spelt xylan reached 55.26% after 2h. Analysis of the end-products using high-performance liquid chromatography indicated xylobiose and xylotriose were the major hydrolysis products, and the final degree of polymerization was greater than two. The purity of the substrates and RMFXase are the key factors that determine the processing parameters of Xylo-oligosaccharide production.

Determination of astaxanthin in Haematococcus pluvialis by first-order derivative spectrophotometry.

A highly selective, convenient, and precise method, first-order derivative spectrophotometry, was applied for the determination of astaxanthin in Haematococcus pluvialis. Ethyl acetate and ethanol (1:1, v/v) were found to be the best extraction solvent tested due to their high efficiency and low toxicity compared with nine other organic solvents. Astaxanthin coexisting with chlorophyll and beta-carotene was analyzed by first-order derivative spectrophotometry in order to optimize the conditions for the determination of astaxanthin. The results show that when detected at 432 nm, the interfering substances could be eliminated. The dynamic linear range was 2.0-8.0 microg/mL, with a correlation coefficient of 0.9916. The detection threshold was 0.41 microg/mL. The RSD for the determination of astaxanthin was in the range of 0.01-0.06%; the results of recovery test were 98.1-108.0%. The statistical analysis between first-order derivative spectrophotometry and HPLC by T-testing did not exceed their critical values, revealing no significant differences between these two methods. It was proved that first-order derivative spectrophotometry is a rapid and convenient method for the determination of astaxanthin in H. pluvialis that can eliminate the negative effect resulting from the coexistence of astaxanthin with chlorophyll and beta-carotene.

Optimal transport on supply-demand networks.

In the literature, transport networks are usually treated as homogeneous networks, that is, every node has the same function, simultaneously providing and requiring resources. However, some real networks, such as power grids and supply chain networks, show a far different scenario in which nodes are classified into two categories: supply nodes provide some kinds of services, while demand nodes require them. In this paper, we propose a general transport model for these supply-demand networks, associated with a criterion to quantify their transport capacities. In a supply-demand network with heterogeneous degree distribution, its transport capacity strongly depends on the locations of supply nodes. We therefore design a simulated annealing algorithm to find the near optimal configuration of supply nodes, which remarkably enhances the transport capacity compared with a random configuration and outperforms the degree target algorithm, the betweenness target algorithm, and the greedy method. This work provides a start point for systematically analyzing and optimizing transport dynamics on supply-demand networks.