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Zhu R, Jin L, Yang B, Ma Y, Zhou Y, Xiao R, Meng Y, Hou Y, Xie B, Jiang XJ. Synthesis of Bio-Base Fluorescence Carbon Dots for Selective Detection of Tartrazine and Sunset Yellow in Food Samples. J Fluoresc 2024:10.1007/s10895-024-03758-x. [PMID: 38789858 DOI: 10.1007/s10895-024-03758-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 05/05/2024] [Indexed: 05/26/2024]
Abstract
A green, economical and simple method for the preparation of water-soluble, high-fluorescent carbon quantum dots (CQDs) has been developed via hydrothermal process using pomelo peels as carbon source. The synthesized CQDs were characterized by transmission electron microscopy (TEM), X-ray diffraction(XRD), Fourier transform infrared spectroscopy (FTIR), UV - vis absorption spectra and fluorescence spectrophotometer. The results reveal that the as-prepared C-dots were spherical shape with an average diameter of 2.64 nm and emit bright blue photoluminescence (PL) with a quantum yield of approximately 3.63%. The surface of the C-dots was rich in hydroxyl groups and presented various merits including excellent photostability, low toxicity, and satisfactory solubility. Additionally, we found that two widely used synthetic food colorants, tartrazine and sunset yellow, could result in a strong fluorescence quenching of the C-dots, The possible mechanisms are caused by different ratios of inner filter and static quenching effects. According to this property, This study attempts to establish an analytical method for the determination of tartrazine and sunset yellow using carbon quantum dots as fluorescent probe. A linear relationship was found in the range of 0-100 µM tartrazine and sunset yellow with the detection limit(3σ/k) of 0.65 nM and 1.7 nM. The relative standard deviation (RSD) was 3.5% (tartrazine) and 3.0% (sunset yellow).This observation was further successfully applied for the determination of tartrazine and sunset yellow in food samples collected from local markets, and the recovery rates of the two ranges from 79% to 117.8 and 81 -103.5%, respectively. suggesting its great potential toward food routine analysis.
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Affiliation(s)
- RongGui Zhu
- College of Biological Engineering, Sichuan University of Science and Engineering, Zigong, Sichuan, China
| | - Lei Jin
- College of Biological Engineering, Sichuan University of Science and Engineering, Zigong, Sichuan, China
| | - Bing Yang
- Analysis and Testing Center, Dezhou University, Dezhou, Shandong, China
| | - Yuan Ma
- College of Chemistry and Environmental Engineering, Sichuan University of Science and Engineering, Zigong, Sichuan, China
| | - You Zhou
- College of Chemistry and Environmental Engineering, Sichuan University of Science and Engineering, Zigong, Sichuan, China
| | - RongDan Xiao
- College of Chemistry and Environmental Engineering, Sichuan University of Science and Engineering, Zigong, Sichuan, China
| | - YiJie Meng
- College of Chemistry and Environmental Engineering, Sichuan University of Science and Engineering, Zigong, Sichuan, China
| | - Ye Hou
- College of Chemistry and Environmental Engineering, Sichuan University of Science and Engineering, Zigong, Sichuan, China
| | - BenTing Xie
- College of Chemistry and Environmental Engineering, Sichuan University of Science and Engineering, Zigong, Sichuan, China
| | - Xiu Juan Jiang
- College of Jia Sixie Agronomy, Weifang University of Science and Technology, Shouguang, Shandong, China.
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Sharma M, Choudhury S, Babu A, Gupta V, Sengupta D, Ali SA, Dhokne MD, Datusalia AK, Mandal D, Panda JJ. Futuristic Alzheimer's therapy: acoustic-stimulated piezoelectric nanospheres for amyloid reduction. Biomater Sci 2024; 12:1801-1821. [PMID: 38407241 DOI: 10.1039/d3bm01688a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
The degeneration of neurons due to the accumulation of misfolded amyloid aggregates in the central nervous system (CNS) is a fundamental neuropathology of Alzheimer's disease (AD). It is believed that dislodging/clearing these amyloid aggregates from the neuronal tissues could lead to a potential cure for AD. In the present work, we explored biocompatible polydopamine-coated piezoelectric polyvinylidene fluoride (DPVDF) nanospheres as acoustic stimulus-triggered anti-fibrillating and anti-amyloid agents. The nanospheres were tested against two model amyloidogenic peptides, including the reductionist model-based amyloidogenic dipeptide, diphenylalanine, and the amyloid polypeptide, amyloid beta (Aβ42). Our results revealed that DPVDF nanospheres could effectively disassemble the model peptide-derived amyloid fibrils under suitable acoustic stimulation. In vitro studies also showed that the stimulus activated DPVDF nanospheres could efficiently alleviate the neurotoxicity of FF fibrils as exemplified in neuroblastoma, SHSY5Y, cells. Studies carried out in animal models further validated that the nanospheres could dislodge amyloid aggregates in vivo and also help the animals regain their cognitive behavior. Thus, these acoustic stimuli-activated nanospheres could serve as a novel class of disease-modifying nanomaterials for non-invasive electro-chemotherapy of Alzheimer's disease.
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Affiliation(s)
- Manju Sharma
- Institute of Nano Science and Technology, Knowledge City, Sector 81, Mohali-140306, Punjab, India.
| | - Samraggi Choudhury
- Institute of Nano Science and Technology, Knowledge City, Sector 81, Mohali-140306, Punjab, India.
| | - Anand Babu
- Institute of Nano Science and Technology, Knowledge City, Sector 81, Mohali-140306, Punjab, India.
| | - Varun Gupta
- Institute of Nano Science and Technology, Knowledge City, Sector 81, Mohali-140306, Punjab, India.
| | - Dipanjan Sengupta
- Institute of Nano Science and Technology, Knowledge City, Sector 81, Mohali-140306, Punjab, India.
| | - Syed Afroz Ali
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, Raebareli-226002, UP, India
| | - Mrunali D Dhokne
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, Raebareli-226002, UP, India
| | - Ashok Kumar Datusalia
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, Raebareli-226002, UP, India
| | - Dipankar Mandal
- Institute of Nano Science and Technology, Knowledge City, Sector 81, Mohali-140306, Punjab, India.
| | - Jiban Jyoti Panda
- Institute of Nano Science and Technology, Knowledge City, Sector 81, Mohali-140306, Punjab, India.
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Yin C, Wu M, Sun Q, Su C, Cao S, Niu N, Chen L. Dual-functionalization of fluorescent carbon dots via cyclodextrin and aminosilane for visual detection of β-glucuronidase and bioimaging. Anal Chim Acta 2024; 1285:341996. [PMID: 38057046 DOI: 10.1016/j.aca.2023.341996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 10/08/2023] [Accepted: 11/01/2023] [Indexed: 12/08/2023]
Abstract
A sensitive method for the detection of β-glucuronidase was established using functionalized carbon dots (β-CD-SiCDs) as fluorescent probes. The β-CD-SiCDs were found to be obtained through in situ autopolymerization by mixing the solutions of methyldopa, mono-6-ethylenediamine-β-cyclodextrin and N-(β-aminoethyl)-γ-aminopropyltrimethoxysilane at room temperature. The method has the characteristics of low energy consumption, simple and rapid. β-CD-SiCDs exhibited green fluorescence at 515 nm emission with a quantum yield of 7.9 %. 4-nitrophenyl-β-D-glucuronide was introduced as a substrate for β-glucuronidase to generate p-nitrophenol. Subsequently, p-nitrophenol self-assembled with β-CD-SiCDs through host-guest recognition to form a stable inclusion complex, resulting in the fluorescence quenching of β-CD-SiCDs. The linear range of β-CD-SiCDs for detecting β-glucuronidase activity was 0.5-60 U L-1 with a detection limit of 0.14 U L-1. For on-site detection, gel reagents were prepared by a simple method and the images were visualized and quantified by taking advantage of smartphones, avoiding the use of large instrumentation. The constructed fluorescence sensing platform has the benefits of easy operation and time saving, and has been successfully used for the detection of β-glucuronidase activity in serum and cell imaging.
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Affiliation(s)
- Chenhui Yin
- College of Chemistry, Chemical Engineering and Resource Utilization, Key Laboratory of Forest Plant Ecology, Northeast Forestry University, 26 Hexing Road, Harbin, 150040, China
| | - Meng Wu
- College of Chemistry, Chemical Engineering and Resource Utilization, Key Laboratory of Forest Plant Ecology, Northeast Forestry University, 26 Hexing Road, Harbin, 150040, China
| | - Qijun Sun
- College of Chemistry, Chemical Engineering and Resource Utilization, Key Laboratory of Forest Plant Ecology, Northeast Forestry University, 26 Hexing Road, Harbin, 150040, China
| | - Chenglin Su
- College of Chemistry, Chemical Engineering and Resource Utilization, Key Laboratory of Forest Plant Ecology, Northeast Forestry University, 26 Hexing Road, Harbin, 150040, China
| | - Shuang Cao
- College of Chemistry, Chemical Engineering and Resource Utilization, Key Laboratory of Forest Plant Ecology, Northeast Forestry University, 26 Hexing Road, Harbin, 150040, China
| | - Na Niu
- College of Chemistry, Chemical Engineering and Resource Utilization, Key Laboratory of Forest Plant Ecology, Northeast Forestry University, 26 Hexing Road, Harbin, 150040, China.
| | - Ligang Chen
- College of Chemistry, Chemical Engineering and Resource Utilization, Key Laboratory of Forest Plant Ecology, Northeast Forestry University, 26 Hexing Road, Harbin, 150040, China.
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Wang S, Ding Y, Zhang L, Cheng Y, Deng Y, Jiang Q, Gao H, Gu J, Yang G, Zhu L, Yan T, Zhang Q, Ye J. Combination of colorimetry, inner filter effect-induced fluorometry and smartphone‑based digital image analysis: A versatile and reliable strategy for multi-mode visualization of food dyes. JOURNAL OF HAZARDOUS MATERIALS 2023; 445:130563. [PMID: 37055971 DOI: 10.1016/j.jhazmat.2022.130563] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 11/16/2022] [Accepted: 12/04/2022] [Indexed: 06/19/2023]
Abstract
Herein, a multi-mode visualization platform was initiated for in-situ detection of food dyes (FDs) by combining colorimetry, fluorometry and smartphone‑based digital image analysis, in which water-dispersible quantum dots (QDs) were served as nanoprobes. Colorimetry was achieved by color comparison, while both fluorometry and fluorescence quantification were performed through inner filter effect (IFE)-induced fluorescence quenching, then color information (RGB & gray-scale values) of colorimetry and fluorometry was picked by a smartphone to reconstruct digitized alignments. Since IFE mechanism was concentration-dependent but did not rely on the interaction between fluorophore and quencher, the whole process of fluorescence response could be finished within 10 s, and both color gradients and fluorescence changes showed fine mappings to FDs concentrations in the range of 1.0 × 10-3∼0.035 mg/mL for brilliant blue, and 1.0 × 10-4∼0.1 mg/mL for Allura red and sunset yellow. As a proof-of-concept, the in-situ multi-mode visualization of these FDs in real beverages was experimentally proved to be highly feasible and reliable as compared with instrumental techniques like UV-vis/fluorescence spectrometry, along with HPLC. Finally, this strategy was extended to the multi-mode visualization of non-food dyes in three simulated wastewater samples with high credibility by contrast with the true additive amounts of model dyes.
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Affiliation(s)
- Shuangshou Wang
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Maanshan 243032, China; Anhui Engineering Technology Research Center of Biochemical Pharmaceutical, Bengbu Medical College, Bengbu 233030, China.
| | - Yuwen Ding
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Maanshan 243032, China
| | - Lu Zhang
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Maanshan 243032, China
| | - Yingle Cheng
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Maanshan 243032, China
| | - Ying Deng
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Maanshan 243032, China
| | - Qin Jiang
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Maanshan 243032, China
| | - Hongrui Gao
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Maanshan 243032, China
| | - Jing Gu
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Maanshan 243032, China
| | - Ganggang Yang
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Maanshan 243032, China
| | - Lei Zhu
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Maanshan 243032, China
| | - Tingxuan Yan
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Maanshan 243032, China
| | - Qi Zhang
- Department of Process Analysis of Tobacco, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou 450007, China.
| | - Jin Ye
- Institute of grain and oil quality and safety, Academy of National Food and Strategic Reserves Administration, Beijing 100037, China.
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Wang S, Wang H, Ding Y, Li W, Gao H, Ding Z, Lin P, Gu J, Ye M, Yan T, Chen H, Ye J. Filter paper- and smartphone-based point-of-care tests for rapid and reliable detection of artificial food colorants. Microchem J 2022. [DOI: 10.1016/j.microc.2022.108088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Fluorescent Multifunctional Organic Nanoparticles for Drug Delivery and Bioimaging: A Tutorial Review. Pharmaceutics 2022; 14:pharmaceutics14112498. [PMID: 36432688 PMCID: PMC9698844 DOI: 10.3390/pharmaceutics14112498] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 11/08/2022] [Accepted: 11/08/2022] [Indexed: 11/19/2022] Open
Abstract
Fluorescent organic nanoparticles (FONs) are a large family of nanostructures constituted by organic components that emit light in different spectral regions upon excitation, due to the presence of organic fluorophores. FONs are of great interest for numerous biological and medical applications, due to their high tunability in terms of composition, morphology, surface functionalization, and optical properties. Multifunctional FONs combine several functionalities in a single nanostructure (emission of light, carriers for drug-delivery, functionalization with targeting ligands, etc.), opening the possibility of using the same nanoparticle for diagnosis and therapy. The preparation, characterization, and application of these multifunctional FONs require a multidisciplinary approach. In this review, we present FONs following a tutorial approach, with the aim of providing a general overview of the different aspects of the design, preparation, and characterization of FONs. The review encompasses the most common FONs developed to date, the description of the most important features of fluorophores that determine the optical properties of FONs, an overview of the preparation methods and of the optical characterization techniques, and the description of the theoretical approaches that are currently adopted for modeling FONs. The last part of the review is devoted to a non-exhaustive selection of some recent biomedical applications of FONs.
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