Color-coded detection of malathion based on enzyme inhibition with dark-field optical microscopy

被引:18
|
作者
Huang, Mengna [1 ]
Fan, Yanping [1 ]
Yuan, Xiang [1 ]
Wei, Lin [1 ]
机构
[1] Hunan Normal Univ, Key Lab Chem Biol & Tradit Chinese Med Res, Natl & Local Joint Engn Lab New Petrochem Mat & F, Coll Chem & Chem Engn,Minist Educ, Changsha 410081, Peoples R China
关键词
Malathion; Organophosphorus pesticides; MnO2-coated gold nanoparticles; Single-particle detection; Degradation; POLYMER; NANOPARTICLES; BIOSENSOR; SENSOR;
D O I
10.1016/j.snb.2021.131135
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Malathion is widely applied in agriculture as one of organophosphorus pesticides (OPs) and easily causes a number of health and environmental problems. Traditional methods for analyzing malathion residues have failed to meet the current requirements of detection. To address this challenge, we designed a colorimetric-based single particle detection (SPD) method to quantify malathion using MnO2-coated gold nanoparticles (GNP@MnO2 NPs) as the probe. In the existence of alkaline phosphatase (ALP), p-aminophenyl phosphate (p-APP) can be hydrolyzed to p-aminophenol (p-AP), which employs as a reductant to induce MnO2 to Mn2+ and make the gold core exposure. With the dark field optical microscopy (DFM), the color change of the probe can be readily observed at the single particle level. However, malathion is able to inhibit the activity of ALP and makes the color of the probe remain. Thus, the content of malathion can be accurately quantified by monitoring the changes in color and scattering intensity of the probe. The linear range of this assay is 0.001-0.1 ng/mL and the limit of detection (LOD) is as low as 0.82 pg/mL. In addition, degradation of malathion can be achieved due to the interaction between malathion and ALP. Therefore, this strategy offers new insights on the design of an ultrasensitive assay for OPs detection and degradation in the future.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] A single gold nanoprobe for colorimetric detection of silver(i) ions with dark-field microscopy
    Xie, Yi Fen
    Cheng, Yun Ying
    Liu, Meng Li
    Zou, Hong Yan
    Huang, Cheng Zhi
    ANALYST, 2019, 144 (06) : 2011 - 2016
  • [42] 3D defect distribution detection by coaxial transmission dark-field microscopy
    Li, Lulu
    Liu, Qian
    Zhang, Hui
    Huang, Wen
    OPTICS AND LASERS IN ENGINEERING, 2020, 127
  • [43] Organic light-emitting-diode-based plasmonic dark-field microscopy
    Wei, Feifei
    O, Yin Wan
    Li, Guixin
    Cheah, Kok Wai
    Liu, Zhaowei
    OPTICS LETTERS, 2012, 37 (21) : 4359 - 4361
  • [44] Core-shell assay based aptasensor for sensitive and selective thrombin detection using dark-field microscopy
    Yang, Rui
    Liu, Shuwen
    Wu, Zhenjie
    Tan, Ying
    Sun, Shuqing
    TALANTA, 2018, 182 : 348 - 353
  • [45] Real-time optical detection of single human and bacterial viruses based on dark-field interferometry
    Mitra, Anirban
    Ignatovich, Filipp
    Novotny, Lukas
    BIOSENSORS & BIOELECTRONICS, 2012, 31 (01): : 499 - 504
  • [46] A rapid readout for many single plasmonic nanoparticles using dark-field microscopy and digital color analysis
    Sriram, Manish
    Markhali, Bijan P.
    Nicovich, Philip R.
    Bennett, Danielle T.
    Reece, Peter J.
    Hibbert, D. Brynn
    Tilley, Richard D.
    Gaus, Katharina
    Vivekchand, S. R. C.
    Gooding, J. Justin
    BIOSENSORS & BIOELECTRONICS, 2018, 117 : 530 - 536
  • [47] Hyperspectral dark-field optical microscopy correlated to atomic force microscopy for the analysis of single plasmonic nanoparticles: tutorial
    Abadie, Claire
    Liu, Mingyang
    Prado, Yoann
    Pluchery, Olivier
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA B-OPTICAL PHYSICS, 2024, 41 (08) : 1678 - 1691
  • [48] Deep learning for inverse design of dielectric nanostructures with distinguishable RGB color signatures on dark-field microscopy
    Jaimes, Juliette Jimenez
    Onomareva, Sofia P.
    Iech, Peter W.
    MACHINE LEARNING IN PHOTONICS, 2024, 13017
  • [49] Observation of Mechanical Process for Myosin-Ii by a Dark-Field Microscopy Combined with an Optical Trap
    Iwaki, Mitsuhiro
    Iwane, Atsuko
    Yanagida, Toshio
    BIOPHYSICAL JOURNAL, 2011, 100 (03) : 128 - 128
  • [50] Dark-field digital holographic microscopy to investigate objects that are nanosized or smaller than the optical resolution
    Dubois, Frank
    Grosfils, Patrick
    OPTICS LETTERS, 2008, 33 (22) : 2605 - 2607