Intelligent biosensing strategies for rapid detection in food safety: A review

被引:111
作者
Zhang, Junjie [1 ]
Huang, Huixian [1 ]
Song, Guangchun [1 ]
Huang, Kunlun [1 ,2 ]
Luo, Yunbo [1 ,2 ]
Liu, Qingliang [3 ]
He, Xiaoyun [1 ,2 ]
Cheng, Nan [1 ]
机构
[1] China Agr Univ, Coll Food Sci & Nutr Engn, Beijing Lab Food Qual & Safety, Beijing 100083, Peoples R China
[2] Minist Agr, Key Lab Safety Assessment Genetically Modified Or, Beijing 100083, Peoples R China
[3] Shandong Baier Testing Co Ltd, Weifang 261061, Shandong, Peoples R China
关键词
Biosensor; Intelligent; Smartphone; 3D printing; Internet of things; QUANTITATIVE DETECTION; PATHOGEN DETECTION; ELECTRONIC NOSES; INTERNET; THINGS; IMMUNOSENSOR; SMARTPHONE; QUALITY; QUANTIFICATION; AMPLIFICATION;
D O I
10.1016/j.bios.2022.114003
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
With the development of the economy and progress in science and technology, people are paying increasing attention to food safety, and food safety testing technology has also developed rapidly. Biosensors, one type of detection technology, stand out due to their high sensitivity and specificity. In combination with emerging technologies, such as smartphones, 3D printing, artificial sensing and the Internet of Things (IOT), biosensor technology has been increasingly developed. The future development of food detection requires intelligence, portability and sensitivity. Based on these factors, we reviewed the research progress regarding the intelligence of biosensors in recent years, expound the research situation based on various biosensor intelligent technologies and equipment, and forecast the future applications of intelligent biosensors.
引用
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页数:14
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共 107 条
[1]   Computer vision technology for real-time food quality assurance during drying process [J].
Aghbashlo, Mortaza ;
Hosseinpour, Soleiman ;
Ghasemi-Varnamkhasti, Mahdi .
TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2014, 39 (01) :76-84
[2]   Rapid qualitative and quantitative detection of beef fillets spoilage based on Fourier transform infrared spectroscopy data and artificial neural networks [J].
Argyri, A. A. ;
Panagou, E. Z. ;
Tarantilis, P. A. ;
Polysiou, M. ;
Nychas, G. -J. E. .
SENSORS AND ACTUATORS B-CHEMICAL, 2010, 145 (01) :146-154
[3]   The Internet of Things: A survey [J].
Atzori, Luigi ;
Iera, Antonio ;
Morabito, Giacomo .
COMPUTER NETWORKS, 2010, 54 (15) :2787-2805
[4]   3D graphene/copper oxide nano-flowers based acetylcholinesterase biosensor for sensitive detection of organophosphate pesticides [J].
Bao, Jing ;
Huang, Ting ;
Wang, Zhaonan ;
Yang, Han ;
Geng, Xintong ;
Xu, Guoli ;
Samalo, Mickey ;
Sakinati, Mina ;
Huo, Danqun ;
Hou, Changjun .
SENSORS AND ACTUATORS B-CHEMICAL, 2019, 279 :95-101
[5]   Biodegradable Poly(Lactic Acid) Nanocomposites for Fused Deposition Modeling 3D Printing [J].
Bardot, Madison ;
Schulz, Michael D. .
NANOMATERIALS, 2020, 10 (12) :1-20
[6]   Towards reliability enhancement of graphene FET biosensor in complex analyte: Artificial neural network approach [J].
Basu, Joyeeta ;
Samanta, Nirmalya ;
Jana, Sukhendu ;
RoyChaudhuri, Chirasree .
MICROELECTRONICS RELIABILITY, 2018, 91 :154-159
[7]   Computer-vision based second-order (kinetic-color) data generation: arsenic quantitation in natural waters [J].
Belen, Federico ;
Danilo Vallese, Federico ;
Leist, Lisa G. T. ;
Ferrao, Marco Flores ;
Gomes, Adriano de Araujo ;
Fabian Pistonesi, Marcelo .
MICROCHEMICAL JOURNAL, 2020, 157
[8]   CLASP (Continuous lifestyle awareness through sweat platform): A novel sensor for simultaneous detection of alcohol and glucose from passive perspired sweat [J].
Bhide, Ashlesha ;
Muthukumar, Sriram ;
Prasad, Shalini .
BIOSENSORS & BIOELECTRONICS, 2018, 117 :537-545
[9]   TiO2 sol/graphene modified 3D porous Ni foam: A novel platform for enzymatic electrochemical biosensor [J].
Boobphahom, Siraprapa ;
Rattanawaleedirojn, Pranee ;
Boonyongmaneerat, Yuttanant ;
Rengpipat, Sirirat ;
Chailapakul, Orawon ;
Rodthongkum, Nadnudda .
JOURNAL OF ELECTROANALYTICAL CHEMISTRY, 2019, 833 :133-142
[10]   Integration of Cloud computing and Internet of Things: A survey [J].
Botta, Alessio ;
de Donato, Walter ;
Persico, Valerio ;
Pescape, Antonio .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2016, 56 :684-700