ANALYTICA CHIMICA ACTA
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2019
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IF 5.256
Xiuzhen Qiu,Weimao Chen,Yiling Luo,Yulin Wang,Yanlian Wang,Huishi Guo
α-amanitin is the most toxic amanita in mushrooms with lethal dose to humans around 0.1 mg. Kg −1 . Hence, early identification of the poison would improve survival rates and prevent lethal poisoning cases. In this study, molecularly imprinted photonic crystal (MIPC) sensor was prepared by combining molecular imprinting with photonic crystal templates and tested towards the detection of α-amanitin. In this process, synthesized moiety of α–amanitin was utilized as template, dispersed SiO 2 colloidal photonic crystal as carrier, methacrylic acid (MAA) as functional monomer , and ethylene glycol dimethacrylate (EDGMA) as crosslinker. The adsorption behavior of MIPC towards α-amanitin in ethanol solution showed shifts in diffraction peaks of MIPC upon binding with α-amanitin molecules. The reflection peak wavelength varied linearly with α-amanitin concentration according to the correlation formula: λ = 15.417 c +489.17 (R 2 = 0.9985). The recognition process was accompanied by gradual color change in MIPC film. The prepared MIPC sensor possessed wide linear range (10 −9 –10 −3 mg L −1 ), change in visual color, low detection limit (10 −10 mg L −1 ), short response time (2 min), and good reusability. The MIPC film was then tested towards the detection of α-amanitin in real biological samples (mushroom, urine, and serum) and showed reasonable shift in diffraction peaks and color change upon soaking in solutions spiked with α-amanitin at 10 −6 mg L −1 and 10 −3 mg L −1 , suggesting the suitability of the film for the rapid identification of α-amanitin in complex sample matrices. Overall, the proposed sensor looks promising for the rapid identification of α-amanitin in clinical analysis and food poisoning.
研究领域:
生物化学
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毒理学
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传感器技术
✓ 已验证
产品关联
DOI
PubMed
高影响因子
FOOD CONTROL
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2024
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IF 5.6
Xiaoxiao Wu,Suleiman A. Haruna,Nazhi Lv,Fangling Jiang,Yu Xia,Qingguo Cai,Qingmin Chen,Xiaomei Chen,Tianhui Jiao,Quansheng Chen
The identification of white tea mainly relies on sensory evaluation and mass spectrometry methods, which have drawbacks such as strong subjectivity and complex analysis. Thus, this study established a novel approach based on colorimetric indicator displacement assay (IDA) sensor to achieve rapid and accurate white tea identification. Cost-effective dyes and phenylboronic acids with different substituents were selected as the indicator and receptor, respectively. A color-signal-responsive IDA sensor array was constructed to enable the rapid and sensitive identification of white tea. Additionally, three supervised pattern recognition algorithms were utilized to process image data. The results demonstrate that combining the IDA sensor with the random forest algorithm accurately differentiates white tea samples by origin and type, achieving a 100% recognition accuracy in both training set (n = 84) and prediction set (n = 56) when ntree = 1000. This work offers an economical and efficient method for the rapid identification of white tea products.
研究领域:
食品科学
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分析化学
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机器学习
✓ 已验证
产品关联
DOI
高影响因子
ACS Nano
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2025
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IF 16
Xue-Mei Dong,Chen Chen,Yin-Xiang Li,Hong-Chao Sun,Bin Liu,Zi-Fan Li,Kai-Li Wang,Zi-Xi He,Meng-Na Yu,Wei Huang,Ju-Qing Liu
Neuromorphic vision sensors capable of multispectral perception and efficient recognition are highly desirable for bioretina emulation, but their realization is challenging. Here, we present a cocrystal strategy for preparing an organic nanowire retinamorphic vision sensor with UV–vis–NIR perception and fast recognition. By leveraging molecular-scale donor–acceptor interpenetration and charge-transfer interfaces, the cocrystal nanowire device exhibits ultrawide photoperception ranging from 350 to 1050 nm, fast photoresponse of 150 ms, high specific detectivity of 8.2 × 1012 Jones, and responsivity of 15 A W–1, as well as retina-like photosynaptic plasticity behaviors. Utilizing the sensor nerve and convolutional neural network, the architecture achieves 90% accuracy in recognizing colorful images. The cocrystal design offers an effective method for constructing nanowire photosynases with high performance in artificial visual systems.
研究领域:
材料科学
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神经形态工程
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光电传感
✓ 已验证
产品关联
DOI
PubMed
高影响因子
FOOD CHEMISTRY
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2023
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IF 8.8
Yan-Jun Li,Li-Li Yang,Li Ni,Jia-Min Xiong,Jia-Yuan He,Lian-Di Zhou,Ling Luo,Qi-Hui Zhang,Chun-Su Yuan
An imbalance of l -tryptophan ( l -Trp), a basic component of a healthy diet, is harmful to human health. Traditional methods for detecting l -Trp have many limitations. To correct a deficiency or excess of l -Trp in human diets, it is necessary to develop a novel method that is rapid, low-cost, and high-sensitivity. Herein, a molecularly imprinted polysaccharide electrochemical sensor termed MIP/CS/MWCNTs/GCE (molecularly imprinted polymer/chitosan/multiwalled carbon nanotubes/glassy carbon electrode) targeting l -Trp was first constructed on a glassy carbon electrode, which was modified with multiwalled carbon nanotubes and chitosan using bifunctional monomers. The MIP/CS/MWCNTs/GCE obtained a wide linear range (1–300 μM) for detecting l -Trp and accurately detected the proportion of l -Trp in mixtures of Trp enantiomers. In milk samples, the spiked recoveries of l -Trp were 86.50 to 99.65%. The MIP/CS/MWCNTs/GCE electrochemical sensor possessed good recognition and detection performance for l -Trp and has promising potential for practical application.
研究领域:
分析化学
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纳米技术
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食品科学
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生物技术
✓ 已验证
产品关联
DOI
PubMed
高影响因子
ACS Sensors
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2024
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IF 8.2
Jiajia Sun,Wei Lai,Jiayan Zhao,Jinhong Xue,Tong Zhu,Mingshu Xiao,Tiantian Man,Ying Wan,Hao Pei,Li Li
Rapid identification of drug mechanisms is vital to the development and effective use of chemotherapeutics. Herein, we develop a multichannel surface-enhanced Raman scattering (SERS) sensor array and apply deep learning approaches to realize the rapid identification of the mechanisms of various chemotherapeutic drugs. By implementing a series of self-assembled monolayers (SAMs) with varied molecular characteristics to promote heterogeneous physicochemical interactions at the interfaces, the sensor can generate diversified SERS signatures for directly high-dimensionality fingerprinting drug-induced molecular changes in cells. We further train the convolutional neural network model on the multidimensional SAM-modulated SERS data set and achieve a discriminatory accuracy toward 99%. We expect that such a platform will contribute to expanding the toolbox for drug screening and characterization and facilitate the drug development process.
研究领域:
药学
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分析化学
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生物医学工程
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机器学习
✓ 已验证
产品关联
DOI
PubMed
高影响因子
CHEMICAL ENGINEERING JOURNAL
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2024
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IF 13.3
Mochou Gao,Chenglin Xu,Jinyu Deng,Tong Zhu,Zhilong Xie,Xueyan Zou,Wensheng Yang
Chitosan (CS) was deposited onto the surface of Fe 3 O 4 nanoparticles by anionic cross-linking to obtain Fe 3 O 4 @CS nanocomposite with improved biocompatibility ascribed to CS. The optimized reaction condition for preparing Fe 3 O 4 @CS was established. Furthermore, polyacrylic acid (PAA) was grafted onto the surface of Fe 3 O 4 @CS to obtain magnetically responsive Fe 3 O 4 @CS/PAA nanocomposite; and dextrin was grafted onto the surface of Fe 3 O 4 @CS/PAA by hydrogen bonding to obtain Fe 3 O 4 @CS/dextrin nanoadsorbent with desired magnetic response for the rapid purification of the maltose binding protein-tagged (MBP-tagged) fusion proteins from Escherichia coli lysate. The as-obtained Fe 3 O 4 @CS/PAA nanocomposite was loaded with relevant antibodies to construct the platform for the purification of MBP-tagged, glutathione S-transferase-tagged, and histidine-tagged fusion proteins. Findings demonstrate that multi-tagged proteins platform exhibits rapid recognition and high binding abilities as well as desired specification, universality, and recycling ability to the tested tagged fusion proteins, because they can strongly load different protein ligands.
研究领域:
纳米技术
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生物技术
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生物化学
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材料科学
✓ 已验证
产品关联
DOI
高影响因子
危险品化学品经营许可证（带存储）