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Wang J, Fan Y, Tian Y, Ge X, Zhang W, Ding Y. A π-Extended AIE Platform for Pattern Recognition of Glycosaminoglycans. Anal Chem 2025; 97:3045-3052. [PMID: 39883949 DOI: 10.1021/acs.analchem.4c06112] [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: 02/01/2025]
Abstract
Accurate discrimination of complicated glycosaminoglycans is a challenging but meaningful task for ensuring their safe use in clinics. With the purpose of reducing the production cost of sensor arrays for glycosaminoglycans, three fluorescence turn-on sensors named TPPEBA, TPPEMe, and TPPEC7 were readily synthesized by simple alkylation of the pyridyl units of the π-extended AIEgen, namely, tetra-(4-pyridylphenyl) ethylene. The designed sensors are cross-reactive toward tested glycosaminoglycans including heparin, chondroitin sulfate, hyaluronic acid, and dextran sulfate, whose mechanism could be ascribed to the multivalent electrostatic, CH···π, and hydrophobic interactions between the sensors and different glycosaminoglycans to form corresponding fluorescent aggregates. The afforded three-component sensor array TPPE-SA is powerful for discrimination of tested glycosaminoglycans in a wide concentration range of 1-200 μg/mL. Hierarchical clustering analysis and linear discriminant analysis results indicated that the sensor array TPPE-SA can be successfully applied for accurate discrimination of different glycosaminoglycans, detecting trace glycosaminoglycan contaminants in heparin and monitoring the heparin concentration in diluted serum samples with almost 100% accuracy.
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Affiliation(s)
- Jiaxin Wang
- Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, People's Republic of China
- Nursing School of Wuxi Taihu University, Wuxi, Jiangsu 214064, People's Republic of China
| | - Yusheng Fan
- Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, People's Republic of China
| | - Yufei Tian
- Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, People's Republic of China
| | - Xiaona Ge
- Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, People's Republic of China
| | - Weihua Zhang
- Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, People's Republic of China
| | - Yubin Ding
- Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, People's Republic of China
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Wang K, Ma HN, Song JX, Yuan X. Color and fluorescence orthogonal dual-functional visual turn-on sensing for acidic and alkaline glyphosate and additive. Food Chem 2025; 464:141816. [PMID: 39488051 DOI: 10.1016/j.foodchem.2024.141816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Revised: 10/22/2024] [Accepted: 10/25/2024] [Indexed: 11/04/2024]
Abstract
In this work, benefitting from the sensitive pH-responsiveness of both meso-tetra-(4-sulfonatophenyl) porphyrin (TPPS4) and calixpyridinium, and their controllable strong noncovalent interactions, the first orthogonal dual-functional visual sensor for simultaneously and separately detecting acidic and alkaline substances without interference by using UV-Vis absorption and fluorescence emission spectra with both "turn on" signal changes was constructed by the supramolecular assembly of calixpyridinium with TPPS4. Color and fluorescence orthogonal dual-functional visual "turn-on" sensing for acidic and alkaline glyphosate and additive by calixpyridinium-TPPS4 sensor was further practically applied. The preparation of this sensor is quite simple in an environmentally friendly water medium. Only 2 μM calixpyridinium and 3 μM TPPS4 are needed to construct this assembly sensor. This sensor has a good biocompatibility, a high selectivity and sensitivity. Moreover, calixpyridinium-TPPS4 sensor can also be applied as a thermal switch and a light controlled anti-counterfeit material.
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Affiliation(s)
- Kui Wang
- Tianjin Key Laboratory of Structure and Performance for Functional Molecules, College of Chemistry, Tianjin Normal University, Tianjin 300387, PR China.
| | - Hui-Na Ma
- Tianjin Key Laboratory of Structure and Performance for Functional Molecules, College of Chemistry, Tianjin Normal University, Tianjin 300387, PR China
| | - Jia-Xuan Song
- Tianjin Key Laboratory of Structure and Performance for Functional Molecules, College of Chemistry, Tianjin Normal University, Tianjin 300387, PR China
| | - Xing Yuan
- Tianjin Key Laboratory of Structure and Performance for Functional Molecules, College of Chemistry, Tianjin Normal University, Tianjin 300387, PR China
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Tomita S, Nagai-Okatani C. Expanding the recognition of monosaccharides and glycans: A comprehensive analytical approach using chemical-nose/tongue technology and a comparison to lectin microarrays. BBA ADVANCES 2024; 7:100129. [PMID: 39790466 PMCID: PMC11714387 DOI: 10.1016/j.bbadva.2024.100129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2024] [Accepted: 12/07/2024] [Indexed: 01/12/2025] Open
Abstract
Chemical-nose/tongue technologies are emerging as promising analytical tools for glycan analysis. After briefly introducing the importance of glycans and their analytical methods, including the lectin microarray (LMA) as one of the gold standards, the fundamental principles underlying chemical noses/tongues are explained and various applications for monosaccharides and glycans are introduced. Then, the similarities and differences of these two approaches are discussed. While both technologies aim to comprehensively profile biospecimens based on 'interaction patterns' between multiple recognition probes and analytes, each has its own strengths. LMAs excel at specific, targeted analysis based on defined lectin-glycan interactions, whereas chemical nose/tongue offers greater flexibility and expandability in terms of system design, making it well-suited for discovering unknown glycan profiles and detecting broader differences in glycan mixtures. In the future, chemical-nose/tongue technologies may be applied to niche areas in glycan analysis and become powerful tools that complement LMA techniques.
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Affiliation(s)
- Shunsuke Tomita
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki 305-8566, Japan
- School of Integrative and Global Majors, University of Tsukuba, Tsukuba, Ibaraki 305-8577, Japan
| | - Chiaki Nagai-Okatani
- Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki 305-8565, Japan
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Deng J, Ma Y, Liu X, Xu J, Luo H, Luo X, Huo D, Hou C. Identification of Chinese baijiu from the same brand based on a graphene quantum dots fluorescence sensing array. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:5891-5900. [PMID: 37905962 DOI: 10.1039/d3ay01083j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
The identification of Chinese baijiu is crucial to regulating the international market and maintaining legitimate rights, as the popularity, influence and awareness of baijiu are growing. A graphene quantum dot (GQD) based fluorescence sensor array is designed in this paper. Upon using only GQDs as a single sensing element, combining three different solvents improves the sensing array's detection sensitivity while simplifying material preparation and experimental detection. Adding organic substances creates intermolecular forces between the GQDs and the solvent, causing the fluorescence intensity to change. The sensor array was able to distinguish 21 types of organic matter, different ratios of quaternary mixed organic materials and 17 types of baijiu of the same brand. It also showed excellent performance in the detection of species in blind samples, with the machine learning algorithm successfully distinguishing baijiu from five other distilled spirits. The experiment provides guidance for the practical application of GQDs and provides a simple but effective reference for sensor arrays to detect baijiu.
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Affiliation(s)
- Jiaxi Deng
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China.
| | - Yi Ma
- Liquor Making Biology Technology and Application of Key Laboratory of Sichuan Province, College of Bioengineering, Sichuan University of Science and Engineering, 188 University Town, Yibin 644000, PR China
| | - Xiaofang Liu
- Chongqing Key Laboratory of Bio-perception & Intelligent Information Processing, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, 400044, PR China.
| | - Jingbing Xu
- Chongqing Institute for Food and Drug Control, Chongqing 401121, PR China
| | - Huibo Luo
- Liquor Making Biology Technology and Application of Key Laboratory of Sichuan Province, College of Bioengineering, Sichuan University of Science and Engineering, 188 University Town, Yibin 644000, PR China
| | - Xiaogang Luo
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China.
| | - Danqun Huo
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China.
- Chongqing Key Laboratory of Bio-perception & Intelligent Information Processing, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, 400044, PR China.
| | - Changjun Hou
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China.
- Liquor Making Biology Technology and Application of Key Laboratory of Sichuan Province, College of Bioengineering, Sichuan University of Science and Engineering, 188 University Town, Yibin 644000, PR China
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Liu Z, Shi Y, Li C, Hu W, Yao Z. Ratiometric detection of polymyxin B based on the disaggregation of pyrenyl nanoassemblies in 100% aqueous media. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 284:121781. [PMID: 36063737 DOI: 10.1016/j.saa.2022.121781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 08/19/2022] [Accepted: 08/21/2022] [Indexed: 06/15/2023]
Abstract
Polymyxin B (PMB) was an antibiotic with highly effective antibacterial effect but narrow safety interval, and its residues in food had attracted widespread attention. It was important to develop an accurate method for the rapid detection of PMB in animal foods. In this work, we had established a ratiometric sensing system based on the formation of supramolecular assemblies of pyrenyl probes, which were driven by the synergy of noncovalent forces such as multiple-electrostatic and π-π stacking interactions. Compared with the traditional fluorescence detection based on the single wavelength change, the present approach showing two-wavelength fluorescence response could reduce the interference of other factors making the experimental results more accurate. The sensor exhibited high sensitivity and selectivity with a low detection limit (28.3 nM). This method could be used to realize visual detection and had a visual detection limit of 1 μM. As we had learned yet, this was the first ratiometric sensor for PMB detection in aqueous solution. We believed all our preliminary would not only provide a complementary strategy for the detection of PMB, but also develop some new ideas for the construction of sensors for rapid antibiotic detection.
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Affiliation(s)
- Zhen Liu
- Beijing Laboratory of Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Yijie Shi
- Department of Chemistry and Biology, Faculty of Environment and Life Science, Beijing University of Technology, Beijing 100124, China
| | - Chen Li
- Beijing Laboratory of Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Wentong Hu
- Beijing Laboratory of Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Zhiyi Yao
- Beijing Laboratory of Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
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