Cholinesterase-based biosensor for preliminary detection of toxic heavy metals in the environment and agricultural-based products

被引:0
|
作者
Sabullah, M. K. [1 ,2 ]
Khalidi, S. A. M. [1 ,2 ]
Abdullah, R. [1 ]
Sani, S. A. [1 ]
Gansau, J. A. [1 ]
Ahmad, S. A. [1 ]
Shukor, M. Y. [2 ]
机构
[1] Univ Malaysia Sabah, Fac Sci & Nat Resources, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia
[2] Univ Putra Malaysia, Fac Biotechnol & Biomol Sci, Dept Biochem, Upm Serdang 43400, Selangor, Malaysia
来源
INTERNATIONAL FOOD RESEARCH JOURNAL | 2020年 / 27卷 / 04期
关键词
pollution; biosensor; cholinesterase; heavy metal; INHIBITION-BASED BIOSENSORS; PERIPHERAL ANIONIC SITE; IN-VITRO; FIELD POPULATIONS; ACTIVE-SITE; ACETYLCHOLINESTERASE; COPPER; BUTYRYLCHOLINESTERASE; IONS; ORGANOPHOSPHORUS;
D O I
暂无
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Heavy metals with high chemical activity from sludge and waste release, agriculture, and mining activity are a major concern. They should be carefully managed before reaching the main water bodies. Excessive exposure to heavy metal may cause toxic effect to any types of organism from the biomolecular to the physiological level, and ultimately cause death. Monitoring is the best technique to ensure the safety of our environment before a rehabilitation is needed. Nowadays, enzyme-based biosensors are utilised in biomonitoring programmes as this technique allows for a real-time detection and rapid result. It is also inexpensive and easy to handle. Enzyme-based biosensors are an alternative for the preliminary screening of contamination before a secondary screening is performed using high-performance technology. This review highlights the current knowledge on enzyme-based biosensors, focusing on cholinesterase for toxic metal detection in the environment. (C) All Rights Reserved
引用
下载
收藏
页码:597 / 609
页数:13
相关论文
共 50 条
  • [11] Green fluorescent protein based whole cell bacterial biosensor for the detection of bioavailable heavy metals in soil environment
    Rathnayake, I. V. N.
    Megharaj, Mallavarapu
    Naidu, Ravi
    ENVIRONMENTAL TECHNOLOGY & INNOVATION, 2021, 23
  • [12] Development of lab-on-chip biosensor for the detection of toxic heavy metals: A review
    Karthik, V
    Karuna, B.
    Kumar, P. Senthil
    Saravanan, A.
    Hemavathy, R., V
    CHEMOSPHERE, 2022, 299
  • [13] Impedance Based Biosensor for Agricultural Pathogen Detection
    Patel, Rhea
    Vinchurkar, Madhuri
    Patkar, Rajul
    Pranjale, Gopal
    Baghini, Maryam Shojaei
    2021 IEEE 21ST INTERNATIONAL CONFERENCE ON NANOTECHNOLOGY (IEEE NANO 2021), 2021, : 385 - 388
  • [14] Fluorescent sensor based models for the detection of environmentally-related toxic heavy metals
    Rasheed, Tahir
    Bilal, Muhammad
    Nabeel, Faran
    Iqbal, Hafiz M. N.
    Li, Chuanlong
    Zhou, Yongfeng
    SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 615 : 476 - 485
  • [15] A System for Pesticide Residues Detection and Agricultural Products Traceability Based on Acetylcholinesterase Biosensor and Internet of Things
    Zhao, Guo
    Guo, Yemin
    Sun, Xia
    Wang, Xiangyou
    INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, 2015, 10 (04): : 3387 - 3399
  • [16] Enzyme biosensor systems based on porous silicon photoluminescence for detection of glucose, urea and heavy metals
    Syshchyk, Olga
    Skryshevsky, Valeriy A.
    Soldatkin, Oleksandr O.
    Soldatkin, Alexey P.
    BIOSENSORS & BIOELECTRONICS, 2015, 66 : 89 - 94
  • [17] A New Method for Heavy Metals and Aluminium Detection Using Biopolymer-Based Optical Biosensor
    Wong, Ling Shing
    Wong, Chee Sien
    IEEE SENSORS JOURNAL, 2015, 15 (01) : 471 - 475
  • [18] DETECTION OF TOXIC HEAVY-METALS IN PRODUCTS OF THE FRUIT AND VEGETABLE PROCESSING-INDUSTRY
    WENDT, E
    LEBENSMITTELINDUSTRIE, 1987, 34 (04): : 161 - 163
  • [19] Detection of Heavy Metals in Food and Agricultural Products by Surface-enhanced Raman Spectroscopy
    Guo, Zhiming
    Chen, Ping
    Yosri, Nermeen
    Chen, Quansheng
    Elseedi, Hesham R.
    Zou, Xiaobo
    Yang, Hongshun
    FOOD REVIEWS INTERNATIONAL, 2023, 39 (03) : 1440 - 1461
  • [20] Comparative study between GRA and MEREC technique on an agricultural-based MCGDM problem in pentagonal neutrosophic environment
    Banik, B.
    Alam, S.
    Chakraborty, A.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2023, 20 (12) : 13091 - 13106