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Li X, Yan L, Feng J, Shi L. Smartphone-based sensing and in vivo and in vitro imaging of Mn(VII) based on nitrogen-doped red fluorescent carbon dots. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024. [PMID: 38818636 DOI: 10.1039/d4ay00783b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
Abstract
Smartphone-assisted visual assay platform provides novel insight for the real-time in-field quantitation of intended analytes in resource-insufficient areas. Herein, nitrogen-doped red fluorescent (FL) carbon dots (R-CDs) were developed for the timely on-site quantitation of Mn(VII) using the smartphone-assisted assay platform. R-CDs, possessing a desirable bright red FL at 616 nm under a 470 nm excitation, were fabricated through hydrothermal treatment adopting passion fruit and neutral red as precursors. Interestingly, bright red FL at 616 nm are gradually quenched upon introducing Mn(VII) based on the inner filter effect, concurrently accompanying with significant FL color variation from bright red to dark red. Inspired by the above-mentioned phenomena, hue-saturation-values (HSV) of real-time captured images could be precisely quantified through a color recognition APP within the smartphone, of which the V/S values could be employed to quantify Mn(VII) with a linear range of 50-400 μM. Furthermore, confocal fluorescence imaging of HeLa cells and zebrafish larvae demonstrates that R-CDs could be employed for the visual determination of Mn(VII) in vivo and in vitro, illustrating that R-CDs possess powerful practical application prospect in biosystem.
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Affiliation(s)
- Xiaofeng Li
- Taiyuan University, Taiyuan, Shanxi 030012, PR China
| | - Liru Yan
- College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, PR China.
| | - Jianyang Feng
- College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, PR China.
| | - Lihong Shi
- College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, PR China.
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Cao Y, Song Y, Fan X, Ma L, Feng T, Zeng J, Xue C, Xu J. A smartphone-assisted portable sensing hydrogel modules based on UCNPs and Co 3O 4 NPs for fluorescence quantitation of hypoxanthine in aquatic products. Talanta 2024; 276:126259. [PMID: 38761664 DOI: 10.1016/j.talanta.2024.126259] [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: 01/20/2024] [Revised: 04/23/2024] [Accepted: 05/12/2024] [Indexed: 05/20/2024]
Abstract
Hypoxanthine is a promising index for evaluating the freshness of various aquatic products. Combined the hydrogels containing upconversion nanoparticles (UCNPs), Co3O4 NPs, and N-ethyl-N-(3-sulfopropyl)-3-methylaniline sodium salt/4-amino-antipyrine (TOPS/4-AAP) with a smartphone, a portable sensor was developed for the convenient, sensitive detection of hypoxanthine. With the H2O2 from xanthine oxidase (XOD)-catalyzed reactions of hypoxanthine, the fluorescence of UCNPs was effectively quenched by the purple product produced from the oxidization of TOPS/4-AAP catalyzed by Co3O4 NPs exhibiting peroxidase activity, among which the color change could be transformed into digital signals for quantification of hypoxanthine. The Green value in the RGB analysis of the fluorescence image was negatively proportional to hypoxanthine concentration in the range of 2.5-20 mg/L with a detection limit of 0.69 mg/L and a quantitation limit of 2.30 mg/L. Finally, this sensor was applied for hypoxanthine detection in real aquatic products, showing potential application for freshness evaluation of aquatic products.
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Affiliation(s)
- Yunrui Cao
- State Key Laboratory of Marine Food Processing & Safety Control, College of Food Science and Engineering, Ocean University of China, No. 1299, Sansha Road, Qingdao, Shandong Province, 266003, China.
| | - Yu Song
- State Key Laboratory of Marine Food Processing & Safety Control, College of Food Science and Engineering, Ocean University of China, No. 1299, Sansha Road, Qingdao, Shandong Province, 266003, China.
| | - Xiaowei Fan
- State Key Laboratory of Marine Food Processing & Safety Control, College of Food Science and Engineering, Ocean University of China, No. 1299, Sansha Road, Qingdao, Shandong Province, 266003, China.
| | - Lei Ma
- State Key Laboratory of Marine Food Processing & Safety Control, College of Food Science and Engineering, Ocean University of China, No. 1299, Sansha Road, Qingdao, Shandong Province, 266003, China.
| | - Tingyu Feng
- Qingdao Institute of Marine Bioresources for Nutrition & Health Innovation, China.
| | - Junpeng Zeng
- State Key Laboratory of Marine Food Processing & Safety Control, College of Food Science and Engineering, Ocean University of China, No. 1299, Sansha Road, Qingdao, Shandong Province, 266003, China.
| | - Changhu Xue
- State Key Laboratory of Marine Food Processing & Safety Control, College of Food Science and Engineering, Ocean University of China, No. 1299, Sansha Road, Qingdao, Shandong Province, 266003, China; Qingdao Marine Science and Technology Center, Qingdao, 266235, China.
| | - Jie Xu
- State Key Laboratory of Marine Food Processing & Safety Control, College of Food Science and Engineering, Ocean University of China, No. 1299, Sansha Road, Qingdao, Shandong Province, 266003, China.
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He N, Wei Q, Li Y, Hu S, Xian Y, Yang M, Wu P, Lu Z, Zhang G. A sensitive, portable, and smartphone-based whole-cell biosensor device for salicylic acid monitoring. Biosens Bioelectron 2024; 257:116329. [PMID: 38677023 DOI: 10.1016/j.bios.2024.116329] [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: 02/07/2024] [Revised: 04/14/2024] [Accepted: 04/22/2024] [Indexed: 04/29/2024]
Abstract
Considerable effort has been invested in developing salicylic acid (SA) biosensors for various application purposes. Here, by engineering the sensing modules and host cell chassis, we have gradually optimized the NahR-Psal/Pr-based SA biosensor, increasing the sensitivity and maximum output by 17.2-fold and 9.4-fold, respectively, and improving the detection limit by 800-fold, from 80 μM to 0.1 μM. A portable SA sensing device was constructed by embedding a gelatin-based hydrogel containing an optimized biosensor into the perforations of tape adhered to glass slide, which allowed good determination of SA in the range of 0.1 μM-10 μM. Then, we developed a customized smartphone App to measure the fluorescence intensity of each perforation and automatically calculate the corresponding SA concentration so that we could detect SA concentrations in real cosmetic samples. We anticipate that this smartphone-based imaging biosensor, with its compact size, higher sensitivity, cost-effectiveness, and easy data transfer, will be useful for long-term monitoring of SA.
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Affiliation(s)
- Nisha He
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan,430062, Hubei, China
| | - Qin Wei
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan,430062, Hubei, China
| | - Yiwen Li
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan,430062, Hubei, China
| | - Shantong Hu
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Yufan Xian
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Mo Yang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan,430062, Hubei, China
| | - Pan Wu
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan,430062, Hubei, China
| | - Zhenghui Lu
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan,430062, Hubei, China.
| | - Guimin Zhang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan,430062, Hubei, China; College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China.
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Ganesh PS, Elugoke SE, Lee SH, Kim SY, Ebenso EE. Smart and emerging point of care electrochemical sensors based on nanomaterials for SARS-CoV-2 virus detection: Towards designing a future rapid diagnostic tool. CHEMOSPHERE 2024; 352:141269. [PMID: 38307334 DOI: 10.1016/j.chemosphere.2024.141269] [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: 11/20/2023] [Revised: 01/08/2024] [Accepted: 01/18/2024] [Indexed: 02/04/2024]
Abstract
In the recent years, researchers from all over the world have become interested in the fabrication of advanced and innovative electrochemical and/or biosensors for respiratory virus detection with the use of nanotechnology. These fabricated sensors demonstrated a number of benefits, including precision, affordability, accessibility, and miniaturization which makes them a promising test method for point-of-care (PoC) screening for SARS-CoV-2 viral infection. In order to comprehend the principles of electrochemical sensing and the role of various types of sensing interfaces, we comprehensively explored the underlying principles of electroanalytical methods and terminologies related to it in this review. In addition, it is addressed how to fabricate electrochemical sensing devices incorporating nanomaterials as graphene, metal/metal oxides, metal organic frameworks (MOFs), MXenes, quantum dots, and polymers. We took an effort to carefully compile current developments, advantages, drawbacks, possible solutions in nanomaterials based electrochemical sensors.
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Affiliation(s)
- Pattan Siddappa Ganesh
- Interaction Laboratory, Advanced Technology Research Center, Future Convergence Engineering, Korea University of Technology and Education, Cheonan-si, Chungcheongnam-do, 330-708, Republic of Korea.
| | - Saheed Eluwale Elugoke
- Centre for Material Science, College of Science, Engineering and Technology, University of South Africa, Johannesburg 1709, South Africa; Institute for Nanotechnology and Water Sustainability (iNanoWS), College of Science, Engineering and Technology, University of South Africa, Johannesburg 1709, South Africa
| | - Seok-Han Lee
- Interaction Laboratory, Advanced Technology Research Center, Future Convergence Engineering, Korea University of Technology and Education, Cheonan-si, Chungcheongnam-do, 330-708, Republic of Korea
| | - Sang-Youn Kim
- Interaction Laboratory, Advanced Technology Research Center, Future Convergence Engineering, Korea University of Technology and Education, Cheonan-si, Chungcheongnam-do, 330-708, Republic of Korea.
| | - Eno E Ebenso
- Centre for Material Science, College of Science, Engineering and Technology, University of South Africa, Johannesburg 1709, South Africa; Institute for Nanotechnology and Water Sustainability (iNanoWS), College of Science, Engineering and Technology, University of South Africa, Johannesburg 1709, South Africa.
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Qiu R, Guo Z, Wang X, Wang X, Cheng S, Zhu X. The Relationships between Effortful Control, Mind Wandering, and Mobile Phone Addiction Based on Network Analysis. Healthcare (Basel) 2024; 12:140. [PMID: 38255028 PMCID: PMC10815513 DOI: 10.3390/healthcare12020140] [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: 12/09/2023] [Revised: 12/31/2023] [Accepted: 01/05/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND The prevailing mobile phone use brought the problem of addiction, which might cause negative consequences. Effortful control and mind wandering were associated with addictive behavior. The present study aimed to investigate the dimension-level relationships between effortful control, mind wandering, and mobile phone addiction. METHODS A total of 1684 participants participated this study. The mobile phone addiction, effortful control, and mind wandering were measured through self-report scales, respectively. Dimension-level network of these psychological variables was estimated and bridge expected influence (BEI) values for each node was calculated. RESULTS Dimensions of mobile phone addiction, effortful control, and mind wandering exhibited distinct and complex links to each other. The node "activation control" exhibited the highest negative BEI value (BEI = -0.32), whereas "spontaneous thinking" showed the highest positive BEI value (BEI = 0.20). CONCLUSIONS Different dimensions of effortful control and mind wandering had varied yet significant connections with distinct dimensions of mobile phone addiction, facilitating understanding of the specific pathways underlying the three constructs. The identified dominant bridge nodes can provide potential targets for the intervention of mobile phone addiction.
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Affiliation(s)
| | | | | | | | | | - Xia Zhu
- Department of Military Medical Psychology, Air Force Medical University, Xi’an 710032, China; (R.Q.); (Z.G.); (X.W.); (X.W.); (S.C.)
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Yan L, Zhang B, Zong Z, Zhou W, Shuang S, Shi L. Artificial intelligence-integrated smartphone-based handheld detection of fluoride ion by Al 3+-triggered aggregation-induced red-emssion enhanced carbon dots. J Colloid Interface Sci 2023; 651:59-67. [PMID: 37540930 DOI: 10.1016/j.jcis.2023.07.125] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/10/2023] [Accepted: 07/19/2023] [Indexed: 08/06/2023]
Abstract
Artificial intelligence (AI)-integrated smartphone-based handheld determination platform, based on 3D printed accessory, Al3+-triggered aggregation-induced red-emssion enhanced carbon dots (CDs) test strip, and smartphone with self-developed YOLO v3 AI algorithm-based application, proves the feasibility for intelligent real-time on-site quantitation of F- through tracking a consecutive fluorescence (FL) colour change. CDs, manifesting dual emission of moderate green emission at 512 nm and weak red one at 620 nm under 365 nm excitation, were synthesized hydrothermally from alizarin carmine and citric acid. CDs@Al3+, with distinct aggregation-induced red-emssion enhancement and green-emssion quenchment, were prepared by adding Al3+ to the CDs solution. Inspiringly, due to intrinsic ratiometric FL variation (I620/I512), CDs@Al3+ engender a successive FL colour variation from red to green in response to different concentrations of F- with low limit of detection of 7.998 μM and wide linear range of 150-1200 µM based on excellent linearity correlation between R/G value and F- concentration. Furthermore, F- content in tap water, toothpaste and milk could be intelligently, speedily, and straightforwardly analyzed through the AI-integrated smartphone-based handheld detection platform. It is fervently desired that our study will motivate a brand-new perspective for the promotion of efficacious detection strategy and the extension of practical application promise.
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Affiliation(s)
- Liru Yan
- College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, PR China
| | - Bianxiang Zhang
- College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, PR China
| | - Zhiwei Zong
- School of Computer and Information Technology, Shanxi University, Taiyuan 030006, PR China
| | - Wei Zhou
- College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, PR China
| | - Shaomin Shuang
- College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, PR China
| | - Lihong Shi
- College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, PR China.
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Yin B, Zhou R, Guo Z, Sun J, Zhu J, Wang Z, Ma C, Zhang M. A Smartphone-Based Sensing for Portable and Sensitive Visual Detection of Hg (II) via Nitrogen Doped Carbon Quantum Dots Modified Paper Strip. J Fluoresc 2023:10.1007/s10895-023-03439-1. [PMID: 37721706 DOI: 10.1007/s10895-023-03439-1] [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: 08/15/2023] [Accepted: 09/11/2023] [Indexed: 09/19/2023]
Abstract
The development of portable and cost-effective sensing system for Hg2+ quantitation is highly demanded for environmental monitoring. Herein, an on-site, rapid and portable smartphone readout device based Hg2+ sensing system integrating nitrogen-doped carbon quantum dots (NCDs) modified paper strip was proposed, and the physicochemical properties of NCDs were characterized by high resolution TEM, FTIR, UV-vis absorption spectrum and fluorescence spectral analysis. The modified paper strip was prepared via "ink-jet" printing technology and exhibits sensitive fluorescence response to Hg2+ with fluorescence color of bright blue (at the excitation/emission wavelength of 365/440 nm). This portable smartphone-based sensing platform is highly selective and sensitive to Hg2+ with the limit of detection (LOD) of 10.6 nM and the concentration range of 0-130 nM. In addition, the recoveries of tap water and local lake water were in the range of 89.4% to 109%. The cost-effective sensing system based on smartphone shows a great potential for trace amounts of Hg2+ monitoring in environmental water samples.
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Affiliation(s)
- Bo Yin
- College of Chemistry & Chemical Engineering, Qinghai Normal University, Xining, 810008, People's Republic of China.
- Academy of Plateau Science and Sustainability, People's Government of Qinghai Province & Beijing, Normal University, Xining, 810016, China.
| | - Rongping Zhou
- Student Career Center of Qinghai Normal University, Xining, 810008, People's Republic of China
| | - Zhonglong Guo
- College of Chemistry & Chemical Engineering, Qinghai Normal University, Xining, 810008, People's Republic of China
| | - Jing Sun
- College of Chemistry & Chemical Engineering, Qinghai Normal University, Xining, 810008, People's Republic of China
| | - Jihua Zhu
- College of Chemistry & Chemical Engineering, Qinghai Normal University, Xining, 810008, People's Republic of China
- Academy of Plateau Science and Sustainability, People's Government of Qinghai Province & Beijing, Normal University, Xining, 810016, China
| | - Zhenbin Wang
- College of Chemistry & Chemical Engineering, Qinghai Normal University, Xining, 810008, People's Republic of China
- Academy of Plateau Science and Sustainability, People's Government of Qinghai Province & Beijing, Normal University, Xining, 810016, China
| | - Cunhua Ma
- College of Chemistry & Chemical Engineering, Qinghai Normal University, Xining, 810008, People's Republic of China
- Academy of Plateau Science and Sustainability, People's Government of Qinghai Province & Beijing, Normal University, Xining, 810016, China
| | - Mingjin Zhang
- College of Chemistry & Chemical Engineering, Qinghai Normal University, Xining, 810008, People's Republic of China.
- Academy of Plateau Science and Sustainability, People's Government of Qinghai Province & Beijing, Normal University, Xining, 810016, China.
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Ray PP. AI in Sensor Research: A Reality Check and the Underestimated Potential of ChatGPT. ACS Sens 2023; 8:2412-2414. [PMID: 37318550 DOI: 10.1021/acssensors.3c01045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
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