Lanthanide-functionalized metal-organic frameworks based ratiometric fluorescent sensor array for identification and determination of antibiotics

Xie, Rong‐Jun; Yang, Peipei; Liu, Shiyuan; Zou, Xun; Tan, Yilin; Wang, Xuefeng; Tao, Jia; Zhao, Peng

doi:10.1016/j.talanta.2021.122366

Cited by 55 publications

(18 citation statements)

References 65 publications

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“…The results of a Boolean logic-gate strategy illustrate dual-emission fluorescent composites could be a well-defined logic device for monitoring and analyzing NZF levels with a simple and facile method. Xie et al fabricated a Eu 3+ and Tb 3+ co-doped LMOF based ratiometric array for identification and determination of antibiotics [ 109 ]. The reaction between MOFs and different antibiotics made an impact on the ratio of fluorescence intensity at 545 nm and 616 nm (F 545 /F 616 ), after these various responses were differentiated by principal component analysis (PCA), eight kinds of 25 antibiotics were effectively distinguished with the existence of interfering substances.…”

Section: Lmofs For Hazardous Materials Detectingmentioning

confidence: 99%

Recent Progress in Metal-Organic Framework Based Fluorescent Sensors for Hazardous Materials Detection

et al. 2022

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Population growth and industrial development have exacerbated environmental pollution of both land and aquatic environments with toxic and harmful materials. Luminescence-based chemical sensors crafted for specific hazardous substances operate on host-guest interactions, leading to the detection of target molecules down to the nanomolar range. Particularly, the luminescence-based sensors constructed on the basis of metal-organic frameworks (MOFs) are of increasing interest, as they can not only compensate for the shortcomings of traditional detection techniques, but also can provide more sensitive detection for analytes. Recent years have seen MOFs-based fluorescent sensors show outstanding advantages in the field of hazardous substance identification and detection. Here, we critically discuss the application of MOFs for the detection of a broad scope of hazardous substances, including hazardous gases, heavy metal ions, radioactive ions, antibiotics, pesticides, nitro-explosives, and some harmful solvents as well as luminous and sensing mechanisms of MOF-based fluorescent sensors. The outlook and several crucial issues of this area are also discussed, with the expectation that it may help arouse widespread attention on exploring fluorescent MOFs (LMOFs) in potential sensing applications.

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Section: Lmofs For Hazardous Materials Detectingmentioning

confidence: 99%

Recent Progress in Metal-Organic Framework Based Fluorescent Sensors for Hazardous Materials Detection

et al. 2022

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“…Cross-reactive sensing arrays can generate specific patterns from different targets, which are subsequently classified to generate algorithms for identifying targets. − Benefiting from their robust pattern-based sensing, − sensing arrays have been successfully applied in the assay of exhalation, serum, and tissues. − However, pattern-based CSF sensing has never been reported. Data processing is significant to acquire accurate assay results of sensing arrays; machine learning (ML)-based artificial intelligence has served as an efficient and reliable tool for processing large amounts of data. − ML algorithms such as k -nearest neighbors ( k -NNs) and artificial neural networks (ANNs) are able to learn from a part of data and focus on the prediction of other data.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Clinical Lab for the Diagnosis of Post-Neurosurgical Meningitis Based on Machine-Learning-Aided Cerebrospinal Fluid Analysis

et al. 2022

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Post-neurosurgical meningitis (PNM) often leads to serious consequences; unfortunately, the commonly used clinical diagnostic methods of PNM are time-consuming or have low specificity. To realize the accurate and convenient diagnosis of PNM, herein, we propose a comprehensive strategy for cerebrospinal fluid (CSF) analysis based on a machine-learningaided cross-reactive sensing array. The sensing array involves three Eu 3+ -doped metal−organic frameworks (MOFs), which can generate specific fluorescence responding patterns after reacting with potential targets in CSF. Then, the responding pattern is used as learning data to train the machine learning algorithms. The discrimination confidence for artificial CSF containing different components of molecules, proteins, and cells is from 81.3 to 100%. Furthermore, the machine-learning-aided sensing array was applied in the analysis of CSF samples from post-neurosurgical patients. Only 25 μL of CSF samples was needed, and the samples could be robustly classified into "normal," "mild," or "severe" groups within 40 min. It is believed that the combination of machine learning algorithms with robust data processing capability and a lanthanide luminescent sensor array will provide a reliable alternative for more comprehensive, convenient, and rapid diagnosis of PNM.

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“…24 The detection of drug molecules, toxic molecules and biomarkers based on Ln-CPs has been reported with increasing frequency in the recent past. [25][26][27][28][29] Herein, we designed and synthesized a series of Ln-CPs with the structure of [Ln(bct)(phen)(ox) 0.5 (H 2 O)] n (Ln = Eu (1), Tb (2), Sm (3), Dy (4), Ce ( 5), H 2 bct = 3,5-bis(4′carboxyphenyl)-1,2,4-triazole, phen = phenanthroline and H 2 ox = oxalic acid). In particular, structure 1 exhibited intense luminescence under ultraviolet light and highly stable luminescent nature over a wide pH range (5)(6)(7)(8)(9)(10)(11)(12).…”

Section: Introductionmentioning

confidence: 99%

Lanthanide ternary mixed-ligand coordination polymers as fluorescent sensors for the sensitive and selective detection of chlorogenic acid

Wang

Wei

et al. 2022

CrystEngComm

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Lanthanide-functionalized metal-organic frameworks based ratiometric fluorescent sensor array for identification and determination of antibiotics

Cited by 55 publications

References 65 publications

Recent Progress in Metal-Organic Framework Based Fluorescent Sensors for Hazardous Materials Detection

Recent Progress in Metal-Organic Framework Based Fluorescent Sensors for Hazardous Materials Detection

Intelligent Clinical Lab for the Diagnosis of Post-Neurosurgical Meningitis Based on Machine-Learning-Aided Cerebrospinal Fluid Analysis

Lanthanide ternary mixed-ligand coordination polymers as fluorescent sensors for the sensitive and selective detection of chlorogenic acid

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