Antimicrobial Agent Functional Gold Nanocluster-Mediated Multichannel Sensor Array for Bacteria Sensing

Xiao, Yuquan; Cheng, Pei; Zhu, Xiaohua; Xu, Maotian; Liu, Meiling; Li, Haitao; Zhang, Youyu; Yao, Shouzhuo

doi:10.1021/acs.langmuir.3c03612

Cited by 5 publications

(2 citation statements)

References 54 publications

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“…The designed sensor array generated a matrix of 2 channels × 6 analysts × 5 replicates. With the help of linear discrimination analysis (LDA) and hierarchical clustering analysis (HCA), − six aromatic amines were identified.…”

Section: Resultsmentioning

confidence: 99%

Visual Sensor Array for Multiple Aromatic Amines via Specific Ascorbic Acid Oxidase Mimic Triggered Schiff-Base Chemistry

Zhang,

Gao,

et al. 2024

Anal. Chem.

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Redox nanozymes have exhibited various applications in recognizing environmental pollutants but not aromatic amines (a type of typical pollutant). Herein, with Cu 2+ as a node and tryptophan (Trp) as a linker, Cu-Trp as a specific ascorbic acid oxidase mimic was synthesized, which could catalyze ascorbic acid (AA) oxidation to dehydroascorbic acid (DHAA). Alternatively, with other natural amino acids as linkers to synthesize Cu-based nanozymes, such catalytic performances are also observed. The asproduced DHAA could react with o-phenylenediamine (OPD) and its derivatives (2,3-naphthalene diamine (NDA), 4-nitro-ophenylenediamine (4-NO 2 −OPD), 4-fluoro-o-phenylenediamine (4-F-OPD), 4-chloro-o-phenylenediamine(4-Cl-OPD), and 4bromo-o-phenylenediamine(4-Br-OPD)) to form a Schiff base and emit fluorescence. Based on the results, with Cu-Trp + AA and Cu-Arg (with arginine (Arg) as a linker) + AA as two sensing channels and extracted red, green, and blue (RGB) values from emitted fluorescence as read-out signals, a visual sensor array was constructed to efficiently distinguish OPD, NDA, 4-NO 2 −OPD, 4-F-OPD, 4-Cl-OPD, and 4-Br-OPD as low as 10 μM.Such detecting performance was further confirmed through discriminating binary, ternary, quinary, and senary mixtures with various concentration ratios, recognizing 18 unknown samples, and even quantitatively analyzing single aromatic amine. Finally, the discriminating ability was further validated in environmental waters, providing an efficient assay for large-scale scanning levels of multiple aromatic amines.

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Section: Resultsmentioning

confidence: 99%

Visual Sensor Array for Multiple Aromatic Amines via Specific Ascorbic Acid Oxidase Mimic Triggered Schiff-Base Chemistry

Zhang,

Gao,

et al. 2024

Anal. Chem.

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“…The sensor array exhibited excellent performance in accurately differentiating cancer cell types and their proliferation states, indicating great potential for precise cancer diagnosis (Figure 3). Li and Zhu [148] developed a multichannel sensor array for efficient identification of bacteria based on three antimicrobial agents (vancomycin, lysozyme, and bacitracin) functional AuNCs. This sensing platform successfully differentiated seven pathogenic bacteria, different concentrations of the same bacteria, and even bacterial mixtures, offering a rapid and reliable method for diagnosing urinary tract infections.…”

Section: Differential Sensing Based On Gold Nanoclusters (Auncs)mentioning

confidence: 99%

Development of Optical Differential Sensing Based on Nanomaterials for Biological Analysis

Wang,

Wen,

et al. 2024

Biosensors

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The discrimination and recognition of biological targets, such as proteins, cells, and bacteria, are of utmost importance in various fields of biological research and production. These include areas like biological medicine, clinical diagnosis, and microbiology analysis. In order to efficiently and cost-effectively identify a specific target from a wide range of possibilities, researchers have developed a technique called differential sensing. Unlike traditional “lock-and-key” sensors that rely on specific interactions between receptors and analytes, differential sensing makes use of cross-reactive receptors. These sensors offer less specificity but can cross-react with a wide range of analytes to produce a large amount of data. Many pattern recognition strategies have been developed and have shown promising results in identifying complex analytes. To create advanced sensor arrays for higher analysis efficiency and larger recognizing range, various nanomaterials have been utilized as sensing probes. These nanomaterials possess distinct molecular affinities, optical/electrical properties, and biological compatibility, and are conveniently functionalized. In this review, our focus is on recently reported optical sensor arrays that utilize nanomaterials to discriminate bioanalytes, including proteins, cells, and bacteria.

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Advancing Frontiers: Graphene-Based Nano-biosensor Platforms for Cutting-Edge Research and Future Innovations

Rana,

Narang,

Chauhan

2024

Indian J Microbiol

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Antimicrobial Agent Functional Gold Nanocluster-Mediated Multichannel Sensor Array for Bacteria Sensing

Cited by 5 publications

References 54 publications

Visual Sensor Array for Multiple Aromatic Amines via Specific Ascorbic Acid Oxidase Mimic Triggered Schiff-Base Chemistry

Visual Sensor Array for Multiple Aromatic Amines via Specific Ascorbic Acid Oxidase Mimic Triggered Schiff-Base Chemistry

Development of Optical Differential Sensing Based on Nanomaterials for Biological Analysis

Advancing Frontiers: Graphene-Based Nano-biosensor Platforms for Cutting-Edge Research and Future Innovations

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