CERAMICS INTERNATIONAL
·
2024
·
IF 5.1
Jiale Liu,Zahoor Ahmad,Jianjun Chen
The continuous SiOC ceramic fibers were fabricated by a novel polyethylene oxide (PEO) assisted sol-gel method. The precursor fibers were prepared by a solution which viscosity and composition can be regulated. The solution with excellent spinning performance was constituted by the optimized composition of tetraethyl orthosilicate, methyltrimethoxysilane, sucrose, and PEO. The effects of the pyrolysis temperatures and C/Si ratios on the microstructure and mechanical properties of SiOC ceramic fibers were investigated. After pyrolysis at 1200 °C, the tensile strength of SiOC ceramic fibers was 182.5 MPa and the surface was uniform and dense. Furthermore, XPS and FTIR analysis confirmed the formation of Si–O–Si and Si–C bonds, demonstrating the existence of SiO 3 C after pyrolysis at 1200 °C. The oxidation and high-temperature resistance of the SiOC ceramic fibers were also investigated. The results showed their ability to withstand heat treatment at 1000 °C in air and 1200 °C in Ar. The continuous SiOC ceramic fibers have broad prospects for commercial application as the thermal protection and high temperature resistant material. And the novel PEO-assisted sol-gel method can be employed to fabricate various ceramic fibers.
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COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
·
2025
·
IF 8.9
Long Yi,Shijie Song,Ying Liu
The incompatibility of nanomaterials with resin and the irreversibility of coatings after damage severely limit the anti-corrosion and anti-wear properties of epoxy coatings. Hence, in this work, a f-BNNs-ZB@AFD-EP composite coating with active/passive self-healing properties was prepared to provide excellent corrosion and wear protection. Boron nitride nanosheets with a high aspect ratio were prepared by mechanical exfoliation, and their compatibility with resin was enhanced by polyethyleneimine. The release of benzotriazole from the zeolitic imidazolate framework on the nanosheets and the reconnection of disulfide bond provided excellent active/passive self-healing properties. Moreover, the coating resistance of f-BNNs-ZB@AFD-EP (2.49 × 10 7 Ω⋅cm 2 ) was increased by three orders of magnitude pure epoxy coating (7.95 × 10 5 Ω⋅cm 2 ). Meanwhile, the friction coefficient (0.64) and wear rate (5.00 × 10 −5 mm 3 /N·m) of f-BNNs-ZB@AFD-EP were lower than that of pure composite coating (0.78, 3.50 × 10 −4 mm 3 /N·m). The f-BNNs-ZB@AFD-EP with outstanding properties has great application prospects in the field of material protection.
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DESALINATION
·
2024
·
IF 8.3
Yumeng Xie,Jing Ren,Peng Liu,Junfeng Zheng,Zhaohuan Mai,Yanyan Liu,Xuewu Zhu,Xin Li,Daliang Xu,Heng Liang
Nanofiltration technology has been widely used in drinking water purification due to its excellent permeance and selectivity properties, especially in small molecular solute separation. However, using oxidizing agents in the pretreatment process for fouling control threatens the nanofiltration membrane structure, leading to the deterioration of the separation performance. Herein, we fabricate a polyester nanofiltration membrane utilizing xylose as an aqueous monomer in the interfacial polymerization process. Due to abundant hydroxyl groups and low reactivity of xylose monomers, the polyester membrane possessed a hydrophilic and thin separation layer, which led to high water permeance with the optimal value of 28.7 L·m −2 ·h −1 ·bar −1 . Possessing highly cross-linking structures and negatively charged surfaces, the fabricated polyester membranes showed an excellent Na 2 SO 4 rejection of up to 95.4 %. In addition, the low electron-donating property of polyester membranes ensured their chemical stability toward active chlorine. This endows relatively stable performance of the polyester membrane after chlorine resistance tests in a wide pH range. This study presents a feasible approach employing green monomers for fabricating nanofiltration membranes with outstanding separation performance and robust chlorine resistance.
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Foods
·
2025
·Vol. 14
·期 3
·510
·
IF 5.1
Cuiping Zhang,Shujing Zhou,Chenxinzi Wu,Xinjian Xu,Xiangjie Zhu
Honey is a sweet substance laboriously collected and crafted from nectar by bees, and since ancient times, it has been deeply cherished by humans for its unique flavor and nutritional value. Litchi honey stands out among various types of honey with its unique flavor and sweet taste, and it is particularly favored by consumers. In accordance with the testing methodologies specified in relevant Chinese national standards, we conducted an exhaustive analysis of the physicochemical properties of six litchi honey samples in Southern China. The results showed that the moisture content fell within a range of 17.18% to 22.7%, while the electrical conductivity remained below 0.28 mS/cm, and amylase activity surpassed 7.7 mL/(g·h). The fructose content varied from 36.5% to 39.6%, with glucose content ranging between 30.57% and 37.63%. The combined total of these two monosaccharides was found to be within the spectrum of 69.63% to 77.23%, and sucrose content was recorded between 0.59% and 1.15%. The F/G was between 1.05 and 1.28, the proportion of fructose in reducing sugars ranged from 51.28% to 56.22%, and the maltose content was between 1.09% and 1.51%. The HMF content was measured between 1.04 and 3.49 mg/kg. Moreover, the presence of C-4 plant sugars was absent in all tested honey samples. These results definitively demonstrate that the physicochemical attributes of all litchi honey samples align with the standards set forth by Chinese national regulations and international authorities such as CODEX. During our in-depth examination of volatile constituents, we identified 26 common compounds, with trans-linalool oxide, linalool, lilac aldehyde B, lilac aldehyde D, α-terpineol, and cedrol emerging as pivotal in crafting the unique flavor and aroma profile of litchi honey. Additionally, the detection of methyl cyclosiloxane in litchi honey has garnered our attention, necessitating a comprehensive investigation into the honey production process. In conclusion, this study not only establishes a robust scientific basis for the quality assurance and product development of litchi honey but also provides valuable reference information for consumers in their selection of honey products.
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MICROCHEMICAL JOURNAL
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2024
·
IF 4.9
Miaomiao Song,Weihua Ma
Increasing attention has been directed towards oxidase mimics due to their catalytic ability toward enzyme substrates in the absence of H 2 O 2 , offering great colorimetric sensing potential in assays and diagnostics. However, slow electron-transfer and unstable absorbance over time often lead to unsatisfactory enzymatic reaction rates and unreliable readouts, significantly reducing detection efficiency and accuracy. Herein, we report on an Ag 6 Si 2 O 7 nanozyme utilizing 3,3′,5,5′-tetramethylbenzidine (TMB) as a chromogenic substrate, demonstrating excellent oxidase-like activity and long-term stable colorimetric signals. Experimental results reveal that the excellent catalytic kinetics of Ag 6 Si 2 O 7 (K m = 0.197 mM, Vmax = 5.1 × 10 −7 M/s) are attributed to ultrafast electron transfer between Ag + and TMB, mediated by Ag 2 O intermediates formed from self-released alkaline ions. Additionally, self-released H 2 SiO 4 2− improves the stability of the oxidized substrate, resulting in a long-term stable colorimetric signal (∼20 min), which exhibits reliable accuracy regardless of the time point at which analyte is added within 20 min, thus eliminating the interference of individual operation time errors. Ascorbic acid (AA) is selected as the target molecule to assess the performance of the Ag 6 Si 2 O 7 -TMB colorimetric sensing system. This approach demonstrates a wide detection range from 5 to 300 μM and a detection limit of 0.452 μM. The developed colorimetric sensing strategy exhibits good stability, specificity, rapidity, and potential application in real sample detection.
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FOOD RESEARCH INTERNATIONAL
·
2024
·
IF 7
Feng Li,Yuting Wang,Hongxia Liao,You Long,Qiang Yu,Jianhua Xie,Yi Chen
Soy sauce is a traditional seasoning in Asia and provides a unique flavor to food. However, some harmful Maillard reaction products (MRPs) were inevitably formed during the manufacturing process. Fermentation is a critical step of soy sauce manufacturing and has a significant impact on MRPs formation. Therefore, this study investigated the formation of some characteristic MRPs (e.g., furan, carboxymethyl lysine (CML), 5-hydroxymethylfurfural (5-HMF), α-dicarbonyl compounds) and their correlation with major quality indicators (e.g., free amino acids, reducing sugar, total acid, ammonia nitrogen, total nitrogen, non-salt soluble solids) in low-salt solid-state fermentation soy sauce (LSFSS). The result showed that the levels of furan, CML, and 5-HMF continue to increase during the fermentation process, reaching a maximum after sterilization. Further testing using Person correlation showed that the formation of furan, CML, and 5-HMF in LSFSS was positively correlated with glucose, fructose, α-dicarbonyl compounds, and most of the amino acids, while it was negatively correlated with sucrose and methionine. Among them, the contribution of lysine, valine, isoleucine, leucine, and arginine to furan formation has rarely been reported. Our results provide a good theoretical basis for the control of MRPs during LSFSS fermentation.
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ACS Applied Nano Materials
·
2024
·
IF 5.3
Zhuoli Xu,Kang Zhao,Fuping Li,Sixuan Zhang,Xiaoliang Zhao,Chen Tang,Yufei Tang,Zhenyi Yuan
Ceramic aerogels exhibit great potential in thermal insulation due to their ultralow density, high porosity, ultralow thermal conductivity, and good chemical stability. However, the application of traditional oxide ceramic aerogels in extreme environments is limited. Herein, we proposed an ultra-high temperature ceramic (UHTC) aerogel designed by ZrC nanofibers welded with carbon nanoparticles. Among them, the flexible ZrC nanofibers, as basic 1D assembly blocks, were assembled into a stable 3D porous structure through the carbon nanoparticles converted by the resorcinol formaldehyde resin (RF). The obtained multiscale fibrous framework endows aerogel with ultralow density (0.0133–0.0282 g cm–3), high porosity (99.73–99.07%), good compressive strength (0.7–18.9 kPa), ultralow thermal conductivity (0.185–0.249 W m–1 K–1), and high-temperature stability at 1400 °C under vacuum. These comprehensive properties can be tailored by adjusting the RF content. The study provides promising perspectives for ZrC nanofiber aerogels in high-temperature insulation applications.
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FOOD CHEMISTRY
·
2025
·
IF 9.8
Qingrui Zhang,Xiaoxiao Zhang,Qibao Jiang,Xiaoge Li,Jing Xu,Miaomiao Jiang
Methylglyoxal (MGO) is a reactive carbonyl compound that forms advanced glycation end products (AGEs), which are associated with diseases such as diabetes, cancer, and Alzheimer's disease. Turmeric, which contains bioactive diarylheptanoids, has compounds like curcumin that can trap MGO and inhibit the formation of AGEs. However, diarylheptanoids suffer from poor stability and solubility, complicating their use in standard methods. Natural deep eutectic solvents (NADES), particularly the BG12–10 % system (betaine and glycerol mixed in a 1:2 ratio with 10 % water added), can improve these properties by enhancing solubility and stability, thus enabling more accurate reaction kinetics. The NADES extract of turmeric can also directly react with MGO, simplifying the experimental process. Liquid chromatography-mass spectrometry has identified 21 diarylheptanoids in turmeric, 10 of which can trap MGO, curcumin being the only one previously reported in the literature.
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ANALYTICAL CHEMISTRY
·
2025
·
IF 6.7
Xianqing Tang,Hua Zhang,Jinghuang Chen,Donghui Wu,Yu Wang,Jian Sun,Zhenxin Wang,Xiurong Yang
Lateral flow immunochromatography (LFIA) with gold nanoparticles (AuNPs) is widely used in the biomedical field as a rapid and simple in vitro detection technique. However, the conventional AuNP-LFIA has limitations in sensitivity and detection range. In this study, nonprecious metal iron-based bimetallic FeWO4 nanomaterials with convenient and excellent enzyme-mimetic catalytic activities were synthesized by a one-pot hydrothermal method. Here, FeWO4 nanomaterials were combined with C-reactive protein (CRP) detection antibodies to form a novel signal-enhancing probe for the analysis of CRP. The probe further achieves significant signal amplification by catalyzing the oxidation reaction of 3-amino-9-ethylcarbazole in the LFIA assay, thereby improving the sensitivity and accuracy of the assay. The application of FeWO4-based LFIA improved the limit of detection of CRP to 19.38 ng/mL after catalytic amplification, which is approximately 30-fold lower than that of the conventional AuNP-LFIA method. In addition, the method demonstrated good stability and reproducibility, providing a promising and prospective strategy for the early diagnosis of inflammatory diseases.
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ANALYTICAL CHEMISTRY
·
2024
·
IF 6.7
Fangbing Wang,Jing Ren,Qiwen Peng,Hongyi Sun,Qiankun Zeng,Yongheng Zhang,Guoyue Shi,Min Zhang
Plasma separation, rich in biomarkers crucial for diagnosis, is conventionally achieved via high-speed centrifugation, a method hindered by its blood usage, lengthy processes, and complex operations, which delays detection. We introduced a novel real-time blood sensing method based on a Janus membrane and enzymes @MOFs. Asymmetric driving of the janus membrane can realize spontaneous separation of plasma and prevent hemolysis during direct separation. Glucose oxidase (GOx), uric acid oxidase (UOx) and horseradish peroxidase (HRP) were encapsulated in a hydrophilic organometallic framework (MOFs) to construct an enzyme cascade nanoreactor. Embedding enzyme in hydrophilic MOFs not only retains the natural conformation of free enzyme but also improves the brittleness of enzyme, endows MOFs with new biological functions, and expands its sensing application. Using 3,3′,5,5′-tetramethylbenzidine (TMB) as a chromogen and a custom app for color interpretation, we achieved real-time visualization of glucose (Glu) and uric acid (UA) at a 50 μM limit. The system accurately analyzed serum samples, matching commercial kits and showing promise for portable, personalized diagnostics.
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NEURON
·
2024
·
IF 14.7
Ming Li,Xue-Ke Yang,Jian Yang,Tong-Xia Li,Chi Cui,Xiang Peng,Jie Lei,Kun Ren,Jie Ming,Pei Zhang,Bo Tian
Erasing traumatic memory during memory reconsolidation is a promising retrieval-extinction strategy for post-traumatic stress disorder (PTSD). Here, we developed an acute social defeat stress (SDS) mouse model with short-term and re-exposure-evoked long-term social avoidance. SDS-associated traumatic memories were identified to be stored in basolateral amygdala (BLA) engram cells. A single intraperitoneal administration of subanesthetic-dose ketamine within, but not beyond, the re-exposure time window significantly alleviates SDS-induced social avoidance, which reduces the activity and quantity of reactivated BLA engram cells. Furthermore, activation or inhibition of dopaminergic projections from the ventral tegmental area to the BLA effectively mimics or blocks the therapeutic effect of re-exposure with ketamine and is dopamine D2 receptor dependent. Single-cell RNA sequencing reveals that re-exposure with ketamine triggered significant changes in memory-related pathways in the BLA. Together, our research advances the understanding of how ketamine mitigates PTSD symptoms and offers promising avenues for developing more effective treatments for trauma-related disorders.
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Artificial Intelligence in Agriculture
·
2025
·
IF 12.4
Zhizhong Sun,Jie Yang,Yang Yao,Dong Hu,Yibin Ying,Junxian Guo,Lijuan Xie
Visible/near-infrared (Vis/NIR) spectroscopy technology has been extensively utilized for the determination of soluble solids content (SSC) in fruits. Nonetheless, the spectral distortion resulting from temperature variations in the sample leads to a decrease in detection accuracy. To mitigate the influence of temperature fluctuations on the accuracy of SSC detection in fruits, using watermelon as an example, this study presents a knowledge-guided temperature correction method utilizing one-dimensional convolutional neural networks (1D-CNN). This method consists of two stages: the first stage involves utilizing 1D-CNN models and gradient-weighted class activation mapping (Grad-CAM) method to acquire gradient-weighted features correlating with temperature. The second stage involves mapping these features and integrating them with the original Vis/NIR spectrum, and then train and test the partial least squares (PLS) model. This knowledge-guided method can identify wavelength bands with high temperature correlation in the Vis/NIR spectra, offering valuable guidance for spectral data processing. The performance of the PLS model constructed using the 15 °C spectrum guided by this method is superior to that of the global model, and can reduce the root mean square error of the prediction set (RMSEP) to 0.324°Brix, which is 32.5 % lower than the RMSEP of the global model (0.480°Brix). The method proposed in this study has superior temperature correction effects than slope and bias correction, piecewise direct standardization, and external parameter orthogonalization correction methods. The results indicate that the knowledge-guided temperature correction method based on deep learning can significantly enhance the detection accuracy of SSC in watermelon, providing valuable reference for the development of PLS calibration methods.
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