Chinese Journal of Analytical Chemistry最新文献

Alismatis rhizoma (AR) is a traditional herb used for its lipid-regulating properties. Its processed forms, salt-processed AR (SAR) and bran-processed AR (BAR), are widely used. This study investigates the lipid-lowering effects of AR and its processed forms in hyperlipidemic mice, with a focus on lysophospholipid regulation. Three types of serum lysophospholipids were characterized using UHPLC-QTOF-MS/MS, and their metabolic changes were analyzed with multivariate statistical statistics. The results showed that AR effectively reduced total cholesterol (TC), while SAR and BAR excelled in lowering low-density lipoprotein-cholesterol (LDL-C). BAR demonstrated superior effects on the TC/high-density lipoprotein-cholesterol (HDL-C) ratio, atherogenic index (AI), and protecting kidney function, making it the most effective processed form. Additionally, a total of 216 lysophospholipids, including 153 lysophosphatidylcholines (Lyso-PCs), 49 lysophosphatidylethanolamines (Lyso-PEs), and 14 lysophosphatidylserines (Lyso-PSs), were identified in serum samples. Metabolomics analysis revealed 102 differential lysophospholipids associated with hyperlipidemia, among which 29, 21, and 22 were significantly (VIP > 1.0, P < 0.05) regulated by AR, SAR, and BAR, respectively. AR showed the most comprehensive regulation of lysophospholipids, increasing unsaturated Lyso-PCs and decreasing Lyso-PEs and Lyso-PSs, which might reduce inflammation and improve cardiovascular health. This study is the first to comprehensively compare the lipid-lowering effects of AR and its processed forms, highlighting their role in modulating lysophospholipid metabolism in hyperlipidemia.

In this study, by conducting simulated in vitro digestion experiments on samples, the extraction rates of several essential metal elements in some common food ingredients were determined to guide a rational and balanced diet. At the same time, taking vegetables as an example, the research investigated the impact of food preprocessing on the extraction rates of metal elements within them, demonstrating that the influence of heat treatment varies for different element extraction rates. A wet digestion system using nitric acid-hydrogen peroxide was established for seafood and vegetable samples, and an analytical method for determining Ca, Cu, Fe, Mn and Zn using inductively coupled plasma optical emission spectrometry (ICP-OES) was developed. The detection limits of the method ranged from 0.0003 mg L⁻¹ to 0.1567 mg L⁻¹, with RSDs between 0.004% and 7.161%. The measured contents of several important metal elements in standard substances were largely consistent with national standards, confirming the accuracy and precision of the method. Based on wet digestion, the contents of various metal elements in simulated digestive fluids were determined. The detection limits for the simulated digestion method ranged from 0.0005 mg L⁻¹ to 0.0077 mg L⁻¹, with RSDs between 0.001% and 8.839%, verifying the precision of the method. Consequently, the extraction rates of metal elements in the two types of samples were obtained, leading to the conclusion that vegetable samples are more easily digested compared to seafood, releasing their metal elements. Moreover, the extraction rates of different elements vary within the same type of sample, and the extraction rates of the same element also differ across different samples. For dried fruit samples, a dry ashing digestion system was established, and an analytical method for determining Ca, Cu, Fe, Mn and Zn using ICP was developed. The detection limits of this method ranged from 0.0003 mg L⁻¹ to 0.0073 mg L⁻¹, with RSDs between 0.001% and 1.076%, and the spiked recovery rates were between 85.43% and 105.96%, confirming the accuracy and precision of the method. Based on dry ashing digestion, the contents of various metal elements in simulated digestive fluids were measured, which led to the determination of the element extraction rates. Among these, the extraction rates for Ca, Cu, and Mn were relatively high.

α2-macroglobulin (α2-M) have crucial clinical significance as a potent biomarker for diabetes nephropathy (DN). There is an increasing demand for rapid detection of α2-M. Herein, a magnetoelastic (ME) biosensor with a layered composite structure is developed for α2-M detection. Based on 3D printing, the basal layer of the biosensor is prepared as a grid structure fabricated by polylactic acid (PLA) doped with NiFe₂O₄. The conductivity of the biosensor was improved significantly due to the addition of multi-walled carbon nanotubes (MWCNTs). The biological site for capturing α2-M antigen was provided by the carbon quantum dots (CDs) coupled with anti-α-2M (anti-α2-M@CDs) in the nitrocellulose filter (NC) membrane. Meanwhile, the distribution of antibodies on the biosensor surface can be observed more directly due to the fluorescence characteristics of CDs. The biosensor in this work can realize multi-pattern recognition of fluorescent signal and electromagnetic signal. The results show that the limit of detection (LOD) was 0.506 ng/mL in the linear range from 10 ng/mL to 100 µg/mL and the linear equation of fitting curve is: y = 0.21 x - 0.15. The ME biosensors with a simple preparation method have advantages of high sensitivity, good stability and low LOD, showing the great potential for α2-M detection.

The electrochemical sensor has been considered an efficient and portable platform for the rapid quantification of nitrate ions in industrial wastewater and natural water bodies. Albeit of the high sensitivity to NO₃⁻, the electron-deficient copper sites (Cu^δ+) were unstable under the negative working potentials for detection (Cu^δ+ was readily reduced to Cu⁰). Herein, the Schiff base was grafted on MIL-125 (Ti) via covalent binding to stabilize the Cu^δ+, leading to a composite Cu^δ+/Schiff base/MIL-125 (Ti) material (abbreviated as CuSM) for NO₃⁻ sensing. Moreover, the unique porous structure of CuSM can speed up the diffusion rate of NO₃⁻ from the bulk solution to the surface of the modified electrode, enhancing the sensitivity of NO₃⁻ assay. As a result, the CuSM-based sensor not only exhibited a wide linear range from 1.18 μM to 58.8 mM and a low detection limit (S/N = 3) of 0.253 μM but also possesses high specificity, excellent reproducibility (the RSD of the five inter-batch sensors was 1.138%) and the ability to detect real water samples.

Objective

To investigate the effects of water extract of the spleen-brain-related mineral drug Shehanshi on mouse sleep.

Methods

Shehanshi water extract was subjected to component analysis via X-ray photoelectron spectroscopy. Then, the effects of low-dose (50 mg kg^-1) and high-dose (100 mg kg^-1) Shehanshi water extract on mouse sleep were evaluated through behavioral tests such as pentobarbital sodium subthreshold and above-threshold sleep experiments and autonomic activity experiments. Furthermore, transcriptome sequencing and nontarget metabolomics analysis were performed on the spleen and brain tissues of the mice.

Results

The Shehanshi water extract contains a total of 30 elements and can reduce sleep latency, increase sleep time, and increase the sleep rate of mice. In the open field experiment, the movement distance of the mice decreased, and the central residence time and rest time increased. Immunoinfiltration analysis and immunohistochemical verification of spleen tissue showed that compared with those in the control group, the immune abundance of neutrophils in the administration groups increased (P < 0.05). Transcriptome data analysis revealed that the Atp1b2 gene was located at the intersection of the spleen and brain and was positively correlated with neutrophil expression but negatively correlated with the expression of the metabolite oleic acid in brain tissue. Immunohistochemical results showed that Atp2a3 protein expression decreased and Plcg1 protein expression increased in the high-dose group, and the difference was statistically significant (P < 0.05). The Atp1b2 protein level in the spleen tissue was positively correlated with that in the brain tissue of the mice (R = 0.829, P = 0.038). Western blotting revealed that Atp1b2 protein levels in the brain and spleen increased significantly in the high-dose group (P < 0.05).

Conclusion

The mechanism by which Shehanshi water extract influences sleep may be associated with the expression of genes related to the spleen-brain axis and calcium signaling pathways in brain tissues.

In graph theory, topological indices are numerical metrics that give information about a graph’s structural traits. The face index is one such topological index that describes planar networks. Since the discovery of graphene, the genealogy of two-dimensional 2D crystals has expanded and currently contains a large variety that has all logical electrical properties required for nano electronics. Nanotechnology benefits from the use of materials that resemble Dirac, such as silicon, graphite, semiconductors, and germanene, as well as TMDC (phosporene), a transition metal dichalcogenide. In contrast with standard topological descriptors, which are numerical values utilised to characterise molecular structures, the face index presents a potentially more comprehensive method for obtaining structural details. In investigations involving quantitative structure-property relationships (QSPR), this may result in more precise predictions. We calculated the recently created face index of Germanium Phosphide (GeP) and its many shapes, including triangle, rhombus, hourglass, and concentric circles.