Self-Assembled Plasmonic Structural Color Colorimetric Sensor for Smartphone-Based Point-Of-Care Ammonia Detection in Water

被引:3
|
作者
Soudi, Mahdi [1 ,2 ,3 ]
Cencillo-Abad, Pablo [3 ]
Patel, Jay [3 ]
Ghimire, Suvash [4 ]
Dillon, Joseph [3 ]
Biswas, Aritra [2 ,3 ]
Mukhopadhyay, Kausik [4 ,5 ]
Chanda, Debashis [1 ,2 ,3 ]
机构
[1] Univ Cent Florida, Dept Phys, Orlando, FL 32816 USA
[2] Univ Cent Florida, Coll Opt & Photon, CREOL, Orlando, FL 32816 USA
[3] Univ Cent Florida, Nanosci Technol Ctr, Orlando, FL 32826 USA
[4] Univ Cent Florida, Dept Mat Sci & Engn, Orlando, FL 32816 USA
[5] Univ Cent Florida, Adv Mat Proc & Anal Ctr, Orlando, FL 32816 USA
基金
美国国家科学基金会;
关键词
nanosensors; colorimetricsensors; aqueousammonia sensing; structural color; self-assembled; RESONANCE; NANOSTRUCTURES;
D O I
10.1021/acsami.4c06615
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Monitoring chemical levels is crucial for safeguarding both the environment and public health. Elevated levels of ammonia, for instance, can harm both humans and aquatic ecosystems, often indicating contamination from agriculture, industry, or sewage. Developing portable, high-resolution, and affordable methods for in situ monitoring of ammonia is thus imperative. Plasmonic sensors offer a promising solution, detecting ammonia by correlating changes in their optical response to the target analyte's concentration. While they are highly sensitive and can be fabricated in a variety of portable and user-friendly formats, some still require reagents or expensive optical equipment, which hinder their widespread adoption. Here, we present a self-assembled nanoplasmonic colorimetric sensor capable of directly detecting ammonia concentrations in aqueous matrices. The proposed sensor exploits the plasmonic resonance of the nanostructures to transduce changes in the chemical environment into alterations in color, offering a label-free method for real-time analysis. The sensor is fabricated using a self-assembling technique compatible with low-cost mass production based on aluminum and aluminum oxide, ensuring affordability and avoiding the use of other toxic chemicals. We developed a model to predict ammonia concentrations based on visible color change of the sensor, achieving a detection limit of 8.5 ppm. Furthermore, to address the need for on-site detection, we integrated smartphone technology for real-time color change analysis, eliminating the need for expensive, bulky optical instruments. Indeed, our approach offers a cost-effective, portable, and user-friendly solution for ammonia detection in water without the need for chemical reagents or spectrometers, making it ideal for field applications. Interestingly, this platform extends its applicability beyond ammonia detection, enabling the monitoring of various chemicals using a smartphone, without the need for any additional costly equipment.
引用
收藏
页码:45632 / 45639
页数:8
相关论文
共 50 条
  • [31] A portable smartphone-based colorimetric sensor for rapid determination of water content in ethanol
    Shahvar, Ali
    Shamsaei, Danial
    Saraji, Mohammad
    MEASUREMENT, 2020, 150
  • [32] Hands-free smartphone-based diagnostics for simultaneous detection of Zika, Chikungunya, and Dengue at point-of-care
    Ganguli, A.
    Ornob, A.
    Yu, H.
    Damhorst, G. L.
    Chen, W.
    Sun, F.
    Bhuiya, A.
    Cunningham, B. T.
    Bashir, R.
    BIOMEDICAL MICRODEVICES, 2017, 19 (04)
  • [33] Smartphone-Based Electrochemical Immunoassay for Point-of-Care Detection of SARS-CoV-2 Nucleocapsid Protein
    Zeng, Ruijin
    Qiu, Minghao
    Wan, Qing
    Huang, Zhisheng
    Liu, Xiaolong
    Tang, Dianping
    Knopp, Dietmar
    ANALYTICAL CHEMISTRY, 2022, 94 (43) : 15155 - 15161
  • [34] Hands-free smartphone-based diagnostics for simultaneous detection of Zika, Chikungunya, and Dengue at point-of-care
    A. Ganguli
    A. Ornob
    H. Yu
    G. L. Damhorst
    W. Chen
    F. Sun
    A. Bhuiya
    B. T. Cunningham
    R. Bashir
    Biomedical Microdevices, 2017, 19
  • [35] A Smartphone-Based System for the Automated Management of Point-of-Care Test Results in Hospitals
    Jang, Dasom
    Shin, Soo-Yong
    Seo, Dong-Woo
    Joo, Segyeong
    Huh, Soo-Jin
    TELEMEDICINE AND E-HEALTH, 2015, 21 (04) : 301 - 305
  • [36] Smartphone-Based Endoscope System for Advanced Point-of-Care Diagnostics: Feasibility Study
    Bae, Jung Kweon
    Vavilin, Andrey
    You, Joon S.
    Kim, Hyeongeun
    Ryu, Seon Young
    Jang, Jeong Hun
    Jung, Woonggyu
    JMIR MHEALTH AND UHEALTH, 2017, 5 (07):
  • [37] A smartphone-based diagnostic analyzer for point-of-care milk somatic cell counting
    Sun, Xiaoyun
    Zhao, Ruiming
    Wang, Xianhua
    Wu, Yunlong
    Yang, Degang
    Wang, Jianhui
    Wu, Zhihong
    Wang, Nan
    Zhang, Juan
    Xiao, Bin
    Chen, Jiaci
    Huang, Fengchun
    Chen, Ailiang
    ANALYTICA CHIMICA ACTA, 2024, 1304
  • [38] Editorial on "An automated smartphone-based diagnostic assay for point-of-care semen analysis"
    Vij, Sarah Coleman
    Agarwal, Ashok
    ANNALS OF TRANSLATIONAL MEDICINE, 2017, 5 (24)
  • [39] A Low-Cost Smartphone-Based Electrochemical Biosensor for Point-of-Care Diagnostics
    Sun, Alexander
    Wambach, Travis
    Venkatesh, A. G.
    Hall, Drew A.
    2014 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS), 2014, : 312 - 315
  • [40] A Smartphone-Based Genotyping Method for Hepatitis B Virus at Point-of-Care Settings
    Jiang, Huiqin
    Wu, Di
    Song, Liuwei
    Yuan, Quan
    Ge, Shengxiang
    Min, Xiaoping
    Xia, Ningshao
    Qian, Shizhi
    Qiu, Xianbo
    SLAS TECHNOLOGY, 2017, 22 (02): : 122 - 129