BIOSENSORS & BIOELECTRONICS
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2026
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IF 11.8
Yuhan Chu,Xiaohan Ren,Yaowen Xing,Shilong Jiang,Qiaosi Wei,Katie Liu,Sheng Wang,Yang Li
The structure and composition of the human milk fat globules and their surrounding membrane (MFGM) are key determinants of their biological functions, yet how these architectures remodel across lactation has remained largely uncharted. Traditional MFGM analysis methods are hampered by the MFGM nanoscale dimensions and inherent heterogeneity, and the spatial information loss intrinsic to bulk approaches. Here, we present a plasmonic chemical imaging strategy using a bimetallic Ag@Au nanopillar substrate coupled to surface-enhanced Raman scattering (SERS) imaging for spatially resolved mapping of individual MFGs in minimally processed human milk. Across samples collected at different lactation stages, we observed reproducible stage-associated spatial partitioning of nutrient-related spectral features. Oligosaccharide-associated signals were found enriched at the globule periphery, whereas protein-associated signals were concentrated toward the globule core. Complementary compositional analyses showed lactation stage-dependent remodeling of the milk matrix. Computational classification further indicated that spatially resolved spectral signatures contained sufficient information for distinguishing between different lactation stages. This study presents a microstructural framework for studying a dynamic food system, such as human milk, offering a foundation for future benchmarking of infant formula design.
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JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
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2020
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IF 3.255
Xiaoyue Yang,Yu Xia
Assigning disulfide linkage is a crucial task for protein identification. The current bottom-up proteomics workflow has limitations in characterizing peptide digests containing multiple disulfide bonds due to the difficulty of controlling partial reduction via conventional chemical reduction methods. Previously, our lab reported the development of an acetone/2-propanol (IPA) photoinitiating system for rapid (on second time scale) and tunable disulfide bond reduction. Herein, we incorporated this reaction system onto a liquid chromatography–mass spectrometry (LC–MS) system for bottom-up protein analysis applications. The photochemical reduction reaction was implemented in a flow microreactor which allowed for up to 15 s 254 nm UV irradiation. The microreactor was installed post LC separation and right before electrospray ionization, while a T-junction was used to introduce the photoinitiating solution to the LC eluent before entering the microreactor. The degree of disulfide reduction was tunable from partial reduction to complete reduction for peptides containing one or multiple disulfide bonds. Significantly improved sequence coverage was obtained from complete disulfide reduction, while assignment of the disulfide connectivity was facilitated from partial disulfide reduction when coupled with tandem mass spectrometry via collision-induced dissociation. As a proof-of-concept test, trypsin digests of lysozyme (four disulfide bonds) and bovine serum albumin (BSA, 17 disulfide bonds) were analyzed by the LC–MS system coupled with online reduction. Sequence coverage was improved from 35% to 100% and 13% to 87% for lysozyme and BSA, respectively. All four disulfide bonds of lysozyme were determined. For BSA, nine disulfide bonds were characterized and eight adjacent disulfide bonds were narrowed down.
研究领域:
生物化学
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分析化学
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蛋白质组学
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高影响因子
CARBOHYDRATE POLYMERS
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2022
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IF 10.723
Wenting Zhang,Yuankun Wang,Defeng Wu
Discriminating the roles of different networks in the multiply cross-linked hydrogels is vital to optimize their overall performance. Poly(vinyl alcohol)/cellulose nanofiber composite hydrogels were used as template for the study. Three types of characteristic networks, including chemical network cross-linked with boronic ester bonds, physical network cross-linked with microcrystallites , and coexistence of these two networks, were constructed in the system, and the viscoelastic responses were used to detect the characteristic relaxation behavior of those networks. The physical network is more sensitive to stress-induced deformation, whereas the chemical network more sensitive to strain-induced one. The former has lower level of viscous dissipation and higher level of elastic storage as compared to the latter, and dominates linear viscoelasticity of hydrogels as the two networks coexist. Their synergistic effect can be well defined by the scaling behavior of hysteretic work. This work proposes an interesting method of probing networks in the multiply cross-linked hydrogels.
研究领域:
材料科学
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生物工程
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高影响因子
Nature Communications
·
2019
·Vol. 10
·期 1
·1-11
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IF 11.878
Ma Kaijie,Zhang Yunong,Liu Le,Xi Jingyu,Qiu Xinping,Guan Tian,He Yonghong
Understanding spatial distribution difference and reaction kinetics of the electrode is vital for enhancing the electrochemical reaction efficiency. Here, we report a total internal reflection imaging sensor without background current interference to map local current distribution of the electrode in a vanadium redox flow battery during cyclic voltammetry (CV), enabling mapping of the activity and reversibility distribution with the spatial resolution of a single fiber. Three graphite felts with different activity are compared to verify its feasibility. In long-term cyclic voltammetry, the oxygen evolution reaction is proved to enhance activity distribution, and homogeneity of the electrode and its bubble kinetics with periodic fluctuation is consistent with the cyclic voltammetry curve, enabling the onset oxygen evolution/reduction potential determination. Higher activity and irreversibility distribution of the electrode is found in favor of the oxygen evolution reaction. This sensor has potential to detect in situ, among other processes, electrochemical reactions in flow batteries, water splitting, electrocatalysis and electrochemical corrosion.
研究领域:
电化学
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材料科学
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高影响因子
ANALYST
·
2022
·Vol. 147
·期 14
·3350-3359
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IF 5.227
Zihui Xu,Chunnan Wang,Rui Ma,Zhou Sha,Fuxin Liang,Shuqing Sun
A sensitive detection system based on aptamer-based biosensors for the detection of carcinoembryonic antigen (CEA) by mapping encoding upconversion nanoparticles (UCNPs) was constructed. In this sensor, oligonucleotides with CEA aptamer fragments immobilized on magnetic beads (MBs) were hybridized to complementary DNA modified on UCNPs (cDNA–UCNPs); thus, sandwich-structured probes were formed. In the presence of CEA, due to the stronger interaction between the aptamer and CEA than that of the aptamer and complementary DNA on UCNPs, the cDNA–UCNPs were isolated from the MBs, and the number of isolated UCNPs was directly related to the concentration of CEA. Using an inverted fluorescence microscope, the number of target-dependent UCNPs on a glass slide was counted, enabling the accurate determination of CEA in the solution. The dynamic range for CEA detection in PBS buffer was 0.02–6.0 ng mL−1 (0.1–30 pM) and a limit of detection (LOD) of 65 fM was achieved. We envisage that the system we developed can also have many promising applications in the sensitive detection of other biomarkers for early cancer diagnosis.
研究领域:
生物传感器
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纳米技术
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癌症诊断
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分析化学
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高影响因子
Small Structures
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2023
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IF 15.9
Yuyao Zhang,Xiaoying Zhu,Bokai Zhu,Chiheng Chu,Baoliang Chen
Nanomaterial hydrophobicity plays a critical role in interfacial phenomena ranging from biological toxicity to chemical reactions. However, it is difficult to figure out the high-resolution surface hydrophobicity at the nanoscale. Herein, a chemical force microscopy is demonstrated to profile in situ hydrophobicity images with the nanoscale resolution, exhibiting order-of-magnitude gain than the traditional methods. This method is utilized to rapidly recognize the spatial fine structure hydrophobicity on Au, graphite, mica, and graphene oxides (GO), enabling the recognition of complicated substances and structures. It is found that the hydrophobicity of GO is opaque and is independent of stacking thickness, which is entirely different from the original graphene. Especially, the regions of wrinkles/edges are first proved to be generally less attractive to the hydrophobic probe than flat areas. This method is used to observe the dynamic evolution of GO hydrophobicity in different aqueous conditions, and is capable of detecting local oxidation variation during interfacial reactions.
研究领域:
材料科学
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表面化学
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纳米技术
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高影响因子
COLLOIDS AND SURFACES B-BIOINTERFACES
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2023
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IF 5.8
Xinyue Xing,Wanqing Zhong,Ping Tang,Qiao Tao,Xiaoxu Lu,Liyun Zhong
The novel histone deacetylase drug chidamide (CHI) has been proven to regulate gene expression associated with oncogenesis via epigenetic mechanisms . However, huge side effects such as non-targeting, poor intracellular accumulation and low nuclear entry efficiency severely restrict its therapeutic efficacy. Dual-targeted nanodrug delivery systems have been proposed as the solution. Herein, we developed a CHI-loaded drug delivery nanosystem based on Prussian blue (PB) nanocarrier , which combines surface-enhanced Raman scattering (SERS) tracking function with cancer cell/nuclear-targeted chemotherapy capability. With the property of background-free SERS mapping, PB nanocarriers can serve as tracking agents to localize intracellular CHI. The incorporation of targeted molecules specifically enhances the cancer cell/nuclear internalization and chemotherapeutic effects of CHI-loaded PB nanocarriers. In vitro cytotoxicity assay clearly shows that the constructed CHI-loaded PB nanocarriers have significant inhibitory on Jurkat cell proliferation . Furthermore, SERS spectral analysis of Jurkat cells incubated with the CHI-loaded PB nanocarriers reveals obvious features of cellular apoptosis: DNA skeleton fragmentation, chromatin depolymerization , histone acetylation, and nucleosome conformation change. Importantly, this CHI-loaded PB nanocarrier will provide a new insight for lymphoblastic leukemia targeted chemotherapy.
研究领域:
药学
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纳米技术
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癌症研究
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分子生物学
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生物医学工程
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高影响因子
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
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2023
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IF 8.2
Xinyi Xing,Xian Shi,Mengya Ruan,Qichun Wei,Ying Guan,Hui Gao,Siquan Xu
Introduction of the sulfonic acid group into H-β zeolite to prepare β-SO 3 H bifunctional catalysts for the efficient synthesis of 5-hydroxymethylfurfural (HMF) from cellulose . Catalysts characterization, such as XRD, ICP-OES, SEM (Mapping), FTIR, XPS , N 2 adsorption-desorption isotherm, NH 3 -TPD, Py-FTIR demonstrate the sulfonic acid group was successfully grafted onto the β zeolite. A superior HMF yield (59.4 %) and cellulose conversion (89.4 %) was obtained in the H 2 O(NaCl)/THF biphasic system under 200 °C for 3 h with β-SO 3 H(3) zeolite as catalyst. More valuable, β-SO 3 H(3) zeolite converts other sugars and obtains ideal HMF yield, including fructose (95.5 %), glucose (86.5 %), sucrose (76.8 %), maltose (71.5 %), cellobiose (67.0 %), starch (68.1 %), glucan (64.4 %) and also converts plant material (25.1 % for moso bamboo and 18.7 % for wheat straw) with great HMF yield. β-SO 3 H(3) zeolite catalyst keeps an appreciable recyclability after 5 cycles. Moreover, in the presence of β-SO 3 H(3) zeolite catalyst, the by-products during the production of HMF from cellulose were detected, and the possible conversion pathway of cellulose to HMF was proposed. The β-SO 3 H bifunctional catalyst has excellent potential for the biorefinery of high value platform compound from carbohydrates.
研究领域:
催化
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化学工程
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材料科学
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生物化学
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可再生能源
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高影响因子
International Journal of Nanomedicine
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2022
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IF 7.033
Yanrui Liang,Weihong Guo,Chuangji Li,Guodong Shen,Haoxian Tan,Peiwen Sun,Zhian Chen,Huilin Huang,Zhenhao Li,Zhenyuan Li,Yingxin Ren,Guoxin Li,Yanfeng Hu
/Gd(NH2)2 (cRGD-PPIG) NPs were tested for their biosafety and metastatic LN mapping ability. They were drained specifically into LNs and selectively taken up by gastric MKN45 cells via αvβ 3 integrin-mediated endocytosis.Results: This phenomenon enabled MR/optical/near-infrared fluorescence multimodal metastatic LN mapping, guiding the creation of accurate and highly efficient PTT for gastric cancer metastatic LNs in mice.Conclusion: In summary, we fabricated tumor-targeted cRGD-PPIG NPs with MR/optical/near-infrared fluorescence multimodal metastatic LN mapping capacity for surgery and efficient PTT guidance post-surgery.
研究领域:
纳米技术
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癌症研究
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医学影像
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诊疗一体化
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PubMed
高影响因子
ACS Nano
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2021
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IF 15.881
Yuxia Wang,Zechuan Yu,Alain Dufresne,Zelin Ye,Ning Lin,Ji Zhou
Considering its high specific modulus, nanocellulose, including rigid cellulose nanocrystals (CNCs) and semiflexible cellulose nanofibrils (CNFs), is widely used as a nano-reinforcing filler for polymeric-based composites, which is regarded as the most promising application of these biomass nanoparticles. The quantitative evaluation of the compatibility and dispersion/aggregation state of nanocellulose in polymeric matrices is a critical issue, as it conditions the efficient stress transfer from the matrix to the filler and effective mechanical reinforcement effect. This study reports a comprehensive set of theories and methods to directly evaluate the compatibility and dispersibility of CNCs and CNFs in four polymer matrices with different polarities, where the compatibility was assessing by Hansen solubility and dispersibility by Raman mapping and cluster analysis. Triple-bond modification on the surface of nanocellulose is a promising approach for accurate recognition in composites, exhibiting the individual signal located in the Raman-silent regions of various polymeric matrices. Based on the discussion of the quantitative dispersion factor, a multiscale percolation model is proposed to better predict the mechanical properties of nanocellulose-reinforced composites based on Raman mapping results, in order to update traditional percolation models.
研究领域:
材料科学
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纳米技术
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高影响因子
Journal of Materials Chemistry A
·
2024
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IF 10.7
Haotian Zhao,Jiaqi Cheng,Jianji Wang,Shu Xiao,Nour F. Attia,Mingzhu Liu,Saihua Jiang
Cholesteric liquid crystal elastomers (CLCEs) possess tunable optical properties and excellent thermal responsiveness, making them ideal for temperature monitoring applications. However, their broad applications are hindered due to the lack of an efficient method to correlate sample color with temperature. In this study, we developed two machine learning models: a Color-based Temperature Value Prediction Model (CTVPM) and a Color Array-based Temperature Mapping Model (CATMM), to predict temperature values and temperature maps, respectively, from images of colored CLCE samples. CLCE samples with thermal-responsive color are synthesized taking advantage of solvent evaporation-induced molecular alignment and dynamic bond-enabled crosslinking. Experimental results demonstrated that temperature values can be accurately predicted based on RGB images using CTVPM, particularly in the temperature range of 50–70 °C, corresponding to the phase transition temperature range of the CLCE samples. Furthermore, temperature distributions can be effectively mapped using CATMM. Applying machine vision to CLCE samples offers an intuitive and cost-effective method for temperature monitoring and mapping. These findings pave the way for combining CLCEs with deep learning algorithms for sensing and safety-related applications.
研究领域:
材料科学
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人工智能
·
光学
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高影响因子
The Innovation
·
2025
·
IF 25.7
Xiangling Li,Shantao Zheng,Mengyi He,Xinshuo Huang,Cheng Yang,Jingshan Mo,Jingbo Yang,Chengduan Yang,Huijiuan Chen,Xi Xie
Monitoring multiplexed biochemical markers is beneficial for the comprehensive evaluation of diabetes-associated complications. Techniques for multiplexed analyses in interstitial fluids have often been restricted by the difficulties of electrode materials in accurately detecting chemicals in complex subcutaneous spaces. In particular, the signal stability of enzyme-based sensing electrodes often inevitably decreases due to enzyme degradation or interference in vivo . In this study, we developed a self-calibrating multiplexed microneedle (MN) electrode array (SC-MMNEA) capable of continuous, real-time monitoring of multiple types of bioanalytes (glucose, cholesterol, uric acid, lactate, reactive oxygen species [ROSs], Na + , K + , Ca 2+ , and pH) in the subcutaneous space. Each type of analyte was detected by a discrete MN electrode assembled in an integrated array with single-MN resolution. Moreover, this device utilized an MN-delivery-mediated self-calibration technique to address the inherent problem of decreased accuracy of implantable electrodes caused by long-term tissue variation and enzyme degradation, and this technique might increase the reliability of the MN sensors. Our results indicated that SC-MMNEA could provide real-time monitoring of multiplexed analyte concentrations in a rat model with good accuracy, especially after self-calibration. SC-MMNEA has the advantages of in situ and minimally invasive monitoring of physiological states and the potential to promote wearable devices for long-term monitoring of chemical species in vivo .
研究领域:
医学工程
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生物传感器
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糖尿病研究
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高影响因子
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