Food Chemistry-X
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2025
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IF 8.2
Jirui Kun,Zhengfei Luo,Menghan Gong,Qing Meng,Yingjuan Chen,Lianyu Yuan,Yiwei Weng,Jin Sun,Hongwei Dai,Huarong Tong
The cup aroma (CA), a lingering scent in the empty cup after tea consumption, is important to sensory evaluation and overall experience; however, the compounds contributing to the distinct floral honey-like CA of Fenghuang Dancong oolong tea (FHDC) remain unknown. CA of FHDC had strong nectar, ginger-like, and floral, while the tea infusion (TA) was characterized by tropical fruit, sweet, and floral notes. OAV and GC-O analyses revealed that esters, aldehydes, and alcohols were major contributors to the CA, with distinct variations in the volatile compound profiles between TA and CA. Twenty-one and 17 aroma active compounds were identified in TA and CA, respectively. GC-O analysis of the CA revealed 17 key odorants, among which α-ionone, geraniol, 4-methylpent-3-en-2-one, ( E )-2-nonenal, heptanal, limonene, linalool, and ( Z )-2-penten-1-ol exhibited intensities of 3 or higher. An aroma recombination experiments confirmed the identification of 17 key odorants, successfully replicating the original floral honey-like cup aroma.
研究领域:
食品科学
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茶叶化学
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产品关联
DOI
PubMed
高影响因子
ANALYTICAL CHEMISTRY
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2025
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IF 6.7
Xingchun Zhai,Junjie Li,Weiwei Cheng,Xiaolu Li,Yongheng Zhang,Bingxue Cao,Junjie Wen,Ninghui Zhu,Da Wu,Tao Wang,Fuzhen Xuan,Guoyue Shi,Min Zhang
This study introduces a radial-hierarchical, diffusion-enhanced spatiotemporal sensing paradigm for volatile organic compound (VOC) analysis via an integrated microchamber paper-based chromatomimetic e-nose. The proposed system synergizes interlayer spatiotemporal dynamics with planar spatial variance by employing a radially symmetric electrode array and a hierarchical porous chemoresistive ink (CuP@G). This design leverages molecular diffusion gradients across the sensing plane, enabling precise discrimination of complex VOC mixtures through multidimensional “spatiotemporal fingerprints”. A physics-informed framework integrates molecular transport principles with multitask learning convolutional neural network (MTL-CNN) analytics, achieving unprecedented resolution in real-sample classification. Systematic validation demonstrates superior performance in discriminating diverse VOCs, binary mixtures, and authentic tobacco samples (origin and level classification accuracy: 92–99%). This work establishes a scalable blueprint for high-fidelity VOC analytics, bridging gas diffusion physics with intelligent signal processing to advance e-nose technology toward precision-driven design.
研究领域:
化学传感
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人工智能
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微流控技术
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环境监测
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传感器技术
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分析化学
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纳米技术
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DOI
PubMed
高影响因子
Advanced Science
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2024
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IF 14.3
Yunyun Liu,Lihua Xiang,Yitong Li,Shen Zhang,Ying Zhang,Hui Shi,Hui Liu,Dou Du,Bangguo Zhou,Beibei Ye,Shaoyue Li,Haohao Yin,Huixiong Xu,Yifeng Zhang
Pyroptosis, an inflammatory cell death, has attracted great attention for potentiating a strong immune response against tumor cells. However, developing powerful pyroptosis inducers and then activating specific pyroptosis still remains challenging. Herein, a PEG-CuP-COF@∆St nanosystem is rationally designed, consisting of PEG-CuP-COF nanozyme pyroptosis inducers and tumor-targeting bacteria of the Salmonella Typhimurium strain VNP20009 (ΔSt), with an affinity for the tumor hypoxic microenvironment. The PEG-CuP-COF nanozymes possessed excellent sonodynamic performance and multienzyme-mimicking activities to generate reactive oxygen species (ROS) and then induce potent pyroptosis. The superoxide dismutase- and peroxidase-mimicking activities of PEG-CuP-COF catalytically produced hydrogen peroxide (H 2 O 2 ) and hydroxyl radicals (•OH) which have important value in triggering acute inflammatory responses and pyroptosis. Moreover, PEG-CuP-COF showed outstanding glutathione peroxidase-mimicking activities, impairing the antioxidant defense in tumor cells and enhancing sonodynamic efficiency by making them more vulnerable to ROS-induced damage. During in vivo studies, PEG-CuP-COF@∆St nanosystem with its self-driven property exhibited impressive tumor-targeting capability and activated Caspase-3/gasdermin E-dependent pyroptosis to inhibit tumor growth. More importantly, it induced a powerful immune memory effect to prevent bone metastasis. In summary, this study introduces an innovative approach for combinatorial sono-catalytic immunotherapy using bacteria-mediated tumor-targeting delivery of nanozymes as specific pyroptosis inducers.
研究领域:
癌症治疗
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纳米技术
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免疫学
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生物工程
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医学生物技术
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产品关联
DOI
PubMed
高影响因子
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