Supramolecular Fluorescence Sensor Array Based on Cucurbit[8]uril Complexes Used for the Detection of Multiplex Quaternary Ammonium Pesticides

Wei, Kai-Ni; Yang, Ru-Pei; Huang, Shu‐Zhen; Tao, Zhu; Tang, Qing; Huang, Ying

doi:10.1021/acs.jafc.3c00347

Cited by 16 publications

(4 citation statements)

References 31 publications

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“…[55][56][57][58] The internal cavities of macrocyclic structures enable the encapsulation of analytes depending on their size and molecular geometries. The favorable recognition abilities of macrocyclic receptors, including cucurbit[n]urils (CB[n]s), [59][60][61] cyclodextrins (CDs), [62][63] calix[n]pyrroles, [64][65] pillar[n]arenes [66] etc., which provide cross-reactive response patterns, have been applied in sensor array applications. Herein, two examples of IDA-driven pattern recognition using off-the-shelf indicators and macrocyclic receptors, including CB[n]s and CDs, are described.…”

Section: Analyte Capture By the Receptor Along With The Release Of Th...mentioning

confidence: 99%

Methodologies for Spontaneous Preparation of Chemosensors and Their Arrays Using Off‐the‐Shelf Reagents

Sasaki,

Minami

2023

ChemNanoMat

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Chemosensors are promising candidates to visualize molecular recognition information through colorimetric or fluorescence responses. In chemosensor designs, the following requirements should be considered; 1) molecular geometries with analytes, 2) mechanisms to cause optical changes upon analyte capture, and 3) solubility for sensing applications. On the other hand, the designs and realization of chemosensors covering the abovementioned requirements are still at the frontiers. In the conventional strategy, molecular geometries between receptors and analytes have been mainly considered. However, this approach confronts issues of synthetic efforts to obtain elaborate designs of chemosensors, which leads to a decrease in the water solubility of chemosensors derived from the complicated and aromatic molecular structures. Herein, this Review summarizes methodologies for self‐assembled chemosensors only using off‐the‐shelf reagents to easily obtain various chemosensors without organic synthesis. The concept of self‐assembled chemosensors comprising off‐the‐shelf reagents with water‐solubility realizes not only the easy tuning of optical sensing properties but also chemical sensing in real samples. Through the comprehensive sensing applications using the facile self‐assembled chemosensors and their arrays, the usability of off‐the‐shelf reagents in analytical chemistry will be clarified.

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Section: Analyte Capture By the Receptor Along With The Release Of Th...mentioning

confidence: 99%

Methodologies for Spontaneous Preparation of Chemosensors and Their Arrays Using Off‐the‐Shelf Reagents

Sasaki,

Minami

2023

ChemNanoMat

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“…The examination of the patterns acquired via the use of multivariate algorithms in machine-learning approaches unveils the specific identification and concentration of the substance being analyzed, enabling the concurrent detection of several substances. − Array-based sensing has been extensively utilized for quantification and the analysis of several toxic substances such as heavy metal ions, thiols, bacteria, biogenic amines, toxic gases, etc. Particularly, for pesticide quantification, plenty of array sensing elements were utilized based on the catechol dyes–tyrosinase system along with the utilization of push–pull chromophores containing reactive sites (i.e., alcohol, amine, pyridine active groups) and cucurbit[8]uril complexes for colorimetric and fluorescent discrimination of pesticides, respectively . However, the synthesis of such dyes/receptors faces complicated synthesis along with their sensitivity to different reaction conditions, which limits their practical usage.…”

Section: Introductionmentioning

confidence: 99%

Colorimetric Nanozyme Sensor Array Based on Metal Nanoparticle-Decorated CNTs for Quantification of Pesticides in Real Water and Soil Samples

Kumar,

Kaur,

Singh

2024

ACS Sustainable Chem. Eng.

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Pesticides have become a concern to the environment and human health, since they are frequently employed to control pests and regulate plant growth. Although array-based pattern recognition has been demonstrated to be a successful method for identifying a variety of analytes, developing sensing components that possess a desirable surface diversity remains a difficult task. Herein, we fabricated a metal nanoparticle-decorated CNT (MDC) nanozyme in the presence of a cationic receptor to produce diverse noncovalent interactions when various pesticides were adsorbed on the MDCs, which resulted in the enhancement of their peroxidase-mimicking activities with different degrees, and utilized it as a colorimetric sensor array for pesticide identification. The designed MDC sensor array could successfully distinguish eight pesticides that exhibited different fingerprint-like sequences at a concentration of 10 μM or successfully segregated CBZ, DTM, and ISP pesticides having a linear range varying from 1 to 8 μM and quantified as low as 10.8, 28.8, and 16.8 nM with R 2 values of 0.983, 0.949, and 0.977, respectively. Very interestingly, two pesticides having similar structures (CBZ and ISP) have been precisely discriminated by a sensor array without any overlapping. Additionally, the effective segregation of pesticides in spiked soil and water samples without cross-classification demonstrated the practicability of the MDC sensor array.

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“…[ 27 ] The fluorescent sensor array combines the high selectivity and sensitivity of probes, suitable for multi‐target imaging and analysis. [ 28 ] So it has been widely used in the analysis of complex analytes, including biological macromolecules, cells, and microorganisms. [ 29 ] Recently, Hu et al reported a host–guest sensor array to identify normal cell lines, cancerous cell lines, and cross‐contaminated cells.…”

Section: Introductionmentioning

confidence: 99%

Identification of Pancreatic Metastasis Cells and Cell Spheroids by the Organelle‐Targeting Sensor Array

Zhang,

Wang,

et al. 2024

Adv Healthcare Materials

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Pancreatic cancer is a highly malignant and metastatic cancer. Pancreatic cancer can lead to liver metastases, gallbladder metastases, and duodenum metastases. The identification of pancreatic cancer cells is essential for the diagnosis of metastatic cancer and exploration of carcinoma in situ. Organelles play an important role in maintaining the function of cells, the various cells show significant difference in organelle microenvironment. Herein, six probes were synthesized for targeting mitochondria, lysosomes, cell membranes, endoplasmic reticulum, Golgi apparatus, and lipid droplets. The six fluorescent probes formed OT‐SA (an organelles‐targeted sensor array) to image pancreatic metastatic cancer cells and cell spheroids. The homology of metastatic cancer cells brings the challenge for identification of these cells. The residual network (ResNet) model has been proven to automatically extract and select image features, which can figure out a subtle difference among the similar samples. Hence, OT‐SA was developed to identify pancreatic metastasis cells and cell spheroids combination with ResNet analysis. The identification accuracy for the pancreatic metastasis cells (> 99%) and pancreatic metastasis cell spheroids (> 99%) in test set was successfully achieved respectively. The organelles‐targeting sensor array provided a method for the identification of pancreatic cancer metastasis in cells and cell spheroids.This article is protected by copyright. All rights reserved

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Supramolecular Fluorescence Sensor Array Based on Cucurbit[8]uril Complexes Used for the Detection of Multiplex Quaternary Ammonium Pesticides

Cited by 16 publications

References 31 publications

Methodologies for Spontaneous Preparation of Chemosensors and Their Arrays Using Off‐the‐Shelf Reagents

Methodologies for Spontaneous Preparation of Chemosensors and Their Arrays Using Off‐the‐Shelf Reagents

Colorimetric Nanozyme Sensor Array Based on Metal Nanoparticle-Decorated CNTs for Quantification of Pesticides in Real Water and Soil Samples

Identification of Pancreatic Metastasis Cells and Cell Spheroids by the Organelle‐Targeting Sensor Array

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