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Guo M, Deng Y, Huang J, Huang Y, Deng J, Wu H. Fabrication and Validation of a 3D Portable PEGDA Microfluidic Chip for Visual Colorimetric Detection of Captured Breast Cancer Cells. Polymers (Basel) 2023; 15:3183. [PMID: 37571077 PMCID: PMC10421435 DOI: 10.3390/polym15153183] [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: 06/18/2023] [Revised: 07/21/2023] [Accepted: 07/22/2023] [Indexed: 08/13/2023] Open
Abstract
To guide therapeutic strategies and to monitor the state changes in the disease, a low-cost, portable, and easily fabricated microfluidic-chip-integrated three-dimensional (3D) microchamber was designed for capturing and analyzing breast cancer cells. Optimally, a colorimetric sensor array was integrated into a microfluidic chip to discriminate the metabolites of the cells. The ultraviolet polymerization characteristic of poly(ethylene glycol) diacrylate (PEGDA) hydrogel was utilized to rapidly fabricate a three-layer hydrogel microfluidic chip with the designed structure under noninvasive 365 nm laser irradiation. 2-Hydroxyethyl methacrylate (HEMA) was added to the prepolymer in order to increase the adhesive capacity of the microchip's surface for capturing cells. 1-Vinyl-2-pyrrolidone (NVP) was designed to improve the toughness and reduce the swelling capacity of the hydrogel composite. A non-toxic 3D hydrogel microarray chip (60 mm × 20 mm × 3 mm) with low immunogenicity and high hydrophilicity was created to simulate the real physiological microenvironment of breast tissue. The crisscross channels were designed to ensure homogeneous seeding density. This hydrogel material displayed excellent biocompatibility and tunable physical properties compared with traditional microfluidic chip materials and can be directly processed to obtain the most desirable microstructure. The feasibility of using a PEGDA hydrogel microfluidic chip for the real-time online detection of breast cancer cells' metabolism was confirmed using a specifically designed colorimetric sensor array with 16 kinds of porphyrin, porphyrin derivatives, and indicator dyes. The results of the principal component analysis (PCA), the hierarchical cluster analysis (HCA), and the linear discriminant analysis (LDA) suggest that the metabolic liquids of different breast cells can be easily distinguished with the developed PEGDA hydrogel microfluidic chip. The PEGDA hydrogel microfluidic chip has potential practicable applicability in distinguishing normal and cancerous breast cells.
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Affiliation(s)
- Mingyi Guo
- College of Food Science and Technology, Sichuan Tourism University, Chengdu 610100, China; (M.G.)
- College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Yan Deng
- College of Food Science and Technology, Sichuan Tourism University, Chengdu 610100, China; (M.G.)
- College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Junqiu Huang
- College of Bioengineering, Sichuan University of Science and Engineering, Zigong 644005, China
| | - Yanping Huang
- College of Food Science and Technology, Sichuan Tourism University, Chengdu 610100, China; (M.G.)
| | - Jing Deng
- College of Food Science and Technology, Sichuan Tourism University, Chengdu 610100, China; (M.G.)
| | - Huachang Wu
- College of Food Science and Technology, Sichuan Tourism University, Chengdu 610100, China; (M.G.)
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Jiao X, Huang X, Yu S, Wang L, Wang Y, Zhang X, Ren Y. A novel composite colorimetric sensor array for quality characterization of shrimp paste based on indicator displacement assay and etching of silver nanoprisms. J FOOD PROCESS ENG 2022. [DOI: 10.1111/jfpe.14195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Xueya Jiao
- School of Food and Biological Engineering Jiangsu University Zhenjiang People's Republic of China
| | - Xingyi Huang
- School of Food and Biological Engineering Jiangsu University Zhenjiang People's Republic of China
| | - Shanshan Yu
- School of Food and Biological Engineering Jiangsu University Zhenjiang People's Republic of China
| | - Li Wang
- School of Food and Biological Engineering Jiangsu University Zhenjiang People's Republic of China
| | - Yu Wang
- School of Food and Biological Engineering Jiangsu University Zhenjiang People's Republic of China
| | - Xiaorui Zhang
- School of Food and Biological Engineering Jiangsu University Zhenjiang People's Republic of China
| | - Yi Ren
- School of Food and Biological Engineering Jiangsu University Zhenjiang People's Republic of China
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Bordbar MM, Samadinia H, Sheini A, Aboonajmi J, Javid M, Sharghi H, Ghanei M, Bagheri H. Non-invasive detection of COVID-19 using a microfluidic-based colorimetric sensor array sensitive to urinary metabolites. Mikrochim Acta 2022; 189:316. [PMID: 35927498 PMCID: PMC9361914 DOI: 10.1007/s00604-022-05423-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 07/15/2022] [Indexed: 01/17/2023]
Abstract
A colorimetric sensor array designed on a paper substrate with a microfluidic structure has been developed. This array is capable of detecting COVID-19 disease by tracking metabolites of urine samples. In order to determine minor metabolic changes, various colorimetric receptors consisting of gold and silver nanoparticles, metalloporphyrins, metal ion complexes, and pH-sensitive indicators are used in the array structure. By injecting a small volume of the urine sample, the color pattern of the sensor changes after 7 min, which can be observed visually. The color changes of the receptors (recorded by a scanner) are subsequently calculated by image analysis software and displayed as a color difference map. This study has been performed on 130 volunteers, including 60 patients infected by COVID-19, 55 healthy controls, and 15 cured individuals. The resulting array provides a fingerprint response for each category due to the differences in the metabolic profile of the urine sample. The principal component analysis-discriminant analysis confirms that the assay sensitivity to the correctly detected patient, healthy, and cured participants is equal to 73.3%, 74.5%, and 66.6%, respectively. Apart from COVID-19, other diseases such as chronic kidney disease, liver disorder, and diabetes may be detectable by the proposed sensor. However, this performance of the sensor must be tested in the studies with a larger sample size. These results show the possible feasibility of the sensor as a suitable alternative to costly and time-consuming standard methods for rapid detection and control of viral and bacterial infectious diseases and metabolic disorders.
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Affiliation(s)
- Mohammad Mahdi Bordbar
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Hosein Samadinia
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Azarmidokht Sheini
- Department of Mechanical Engineering, Shohadaye Hoveizeh Campus of Technology, Shahid Chamran University of Ahvaz, Dashte Azadegan, Khuzestan, Iran
| | - Jasem Aboonajmi
- Department of Chemistry, College of Sciences, Shiraz University, Shiraz, Iran
| | - Mohammad Javid
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Hashem Sharghi
- Department of Chemistry, College of Sciences, Shiraz University, Shiraz, Iran
| | - Mostafa Ghanei
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Hasan Bagheri
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
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He M, Li J, Zhao D, Ma Y, Zhang J, Qiao C, Li Z, Huo D, Hou C. One metal-ion-regulated AgTNPs etching sensor array for visual discrimination of multiple organic acids. APPLIED OPTICS 2022; 61:4843-4850. [PMID: 36255968 DOI: 10.1364/ao.456278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 04/26/2022] [Indexed: 06/16/2023]
Abstract
The detection and discrimination of organic acids (OAs) is of great importance in the early diagnosis of specific diseases. In this study, we established an effective visual sensor array for the identification of OA. This is the first time, to our best knowledge, that metal ions were used to regulate the etching of silver triangular nanoprisms (AgTNPs) in an OA discrimination sensor array. The sensor array was based on the oxidation etching of AgTNPs by three metal ions (Mn2+, Pb2+, and Cr3+) and accelerated etching of AgTNPs by OA. The introduction of metal ions alone led to a slight wavelength shift of the AgTNPs colloid solution, signifying the incomplete etching of the AgTNPs. Nevertheless, when metal ions and OA were introduced simultaneously to the solution, a significant blueshift of the localized surface plasmon resonance peak was detected, and a color change of the AgTNPs was observed, which were the consequences of morphological transitions of the AgTNPs. The addition of different OA accelerated AgTNPs etching in varying degrees, generating diverse colorimetric response patterns (i.e., RGB variations) as "fingerprints" associated with each specific organic acid. Pattern recognition algorithms and neural network simulation were employed to further data analysis, indicating the outstanding discrimination capability of the provided array for eight OA at the 33 µM level. Moreover, excellent results of selective experiments as well as real samples tests demonstrate that our proposed method possesses great potential for practical applications.
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Zhang B, Zhou Q, Zhang X, Ma J, Cong X, Wang Q, Liao Y, Yang Y, Wang H. Thermostable fluorescent supramolecular gels constructed from a single gelator and its application in discriminating organic acids. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2021.117137] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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Ying X, He J, Li X. Molecularly imprinted electrospun fiber membrane for colorimetric detection of hexanoic acid. E-POLYMERS 2021. [DOI: 10.1515/epoly-2021-0049] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
An imprinted electrospun fiber membrane was developed for the detection of volatile organic acids, which are key components of human body odor. In this study, hexanoic acid (HA) was selected as the target, polymethyl methacrylate (PMMA) was used as the substrate, and colorimetric detection of HA was achieved by a bromocresol purple (BCP) chromogenic agent. The results showed that the morphology of the fiber membrane was uniform and continuous, and it showed excellent selectivity and specificity to HA. Photographs of the color changes before and after fiber membrane adsorption were recorded by a camera and quantified by ImageJ software by the difference in gray value (ΔGray). This method is simple, intuitive, and low cost and has great potential for application in human odor analysis.
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Affiliation(s)
- Xiaoguang Ying
- Chemical Engineering Institute for Polymer Materials, College of Chemical Engineering, Fuzhou University , Fuzhou , China
| | - Jieyuan He
- Chemical Engineering Institute for Polymer Materials, College of Chemical Engineering, Fuzhou University , Fuzhou , China
| | - Xiao Li
- Chemical Engineering Institute for Polymer Materials, College of Chemical Engineering, Fuzhou University , Fuzhou , China
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Zhang B, Dong X, Zhou Q, Lu S, Zhang X, Liao Y, Yang Y, Wang H. Carboxymethyl chitosan‒promoted luminescence of lanthanide metallogel and its application in assay of multiple metal ions. Carbohydr Polym 2021; 263:117986. [PMID: 33858579 DOI: 10.1016/j.carbpol.2021.117986] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 03/03/2021] [Accepted: 03/23/2021] [Indexed: 10/24/2022]
Abstract
In this work, the luminescence of lanthanide supramolecular metallogel formed by the self-assembly of 5,5',5″-(1,3,5-triazine-2,4,6-triyl)tris(azanediyl)triisophthalate (H6L) and Tb3+ was efficiently promoted by carboxymethyl chitosan (CMCS). The total quantum yield of the resultant metallogel (denoted as H6L/Tb3+/CMCS gel) was 9 times higher than the gel without CMCS. The average lifetime of H6L/Tb3+/CMCS gel increased from 0.51 ms to 1.20 ms. More importantly, the aqueous dispersion of H6L/Tb3+/CMCS xerogels showed a stable and pH-dependent luminescence. Based on the selective affinity of CMCS to different metal ions as well as with the aid of principal component analysis, H6L/Tb3+ /CMCS can be used as a sensor array to distinguish 11 metal ions (P < 0.05). This work provides a new strategy for the design and development of bio-based functional luminescent lanthanide supramolecular metallogels.
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Affiliation(s)
- Binbin Zhang
- Key Laboratory of Materials Chemistry for Energy Conversion and Storage of the Ministry of Education, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Xuelin Dong
- Key Laboratory of Rare Mineral Exploration and Utilization, Ministry of Land and Resources, Geological Experimental Testing Center of Hubei Province, Wuhan 430034, China
| | - Qi Zhou
- Key Laboratory of Materials Chemistry for Energy Conversion and Storage of the Ministry of Education, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Shan Lu
- Key Laboratory of Materials Chemistry for Energy Conversion and Storage of the Ministry of Education, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Xinwei Zhang
- Key Laboratory of Materials Chemistry for Energy Conversion and Storage of the Ministry of Education, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Yonggui Liao
- Key Laboratory of Materials Chemistry for Energy Conversion and Storage of the Ministry of Education, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Yajiang Yang
- Key Laboratory of Materials Chemistry for Energy Conversion and Storage of the Ministry of Education, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Hong Wang
- Key Laboratory of Materials Chemistry for Energy Conversion and Storage of the Ministry of Education, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
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