Biosensors and Their Application in Agriculture and Food Science

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".

Deadline for manuscript submissions: closed (20 June 2023) | Viewed by 10829

Special Issue Editors


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Guest Editor

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Guest Editor
School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: umami taste evaluation; biosensors, especially for umami; food flavor; meat science
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Special Issue Information

Dear Colleagues,

The main topic of this Special Issue is the innovation of biosensors and their applications in agriculture and food science. This Special Issue aims to gather innovative work either for the science community or for the food industry. We welcome scientific work within the scopes listed below.

  • Biosensors including enzyme-based biosensors, organism- and whole-cell-based biosensors;
  • The design and study of molecular and supramolecular structures with molecular biorecognition and biomimetic properties for use in analytical devices;
  • Chemical actuators including soft actuators, micro- and nanomotors, microfluidic components;
  • Photonic and biophotonic sensors and chemical sensing systems
Dr. Yanping Chen
Dr. Yuan Liu
Guest Editors

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Keywords

  • Bionic sensor
  • food flavor
  • biomaterials
  • biosensing mechanisms
  • chemical actuator
  • fabrication technology

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Published Papers (3 papers)

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Research

15 pages, 5899 KiB  
Article
Cyclophosphazene Intrinsically Derived Heteroatom (S, N, P, O)-Doped Carbon Nanoplates for Ultrasensitive Monitoring of Dopamine from Chicken Samples
by Yasir Abbas, Naeem Akhtar, Sania Ghaffar, Ahlam I. Al-Sulami, Muhammad Asad, Muhammad Ehsan Mazhar, Farhan Zafar, Akhtar Hayat and Zhanpeng Wu
Biosensors 2022, 12(12), 1106; https://doi.org/10.3390/bios12121106 - 1 Dec 2022
Cited by 5 | Viewed by 1658
Abstract
A novel, metal-free electrode based on heteroatom (S, N, P, O)-doped carbon nanoplates (SNPO-CPL) modifying lead pencil graphite (LPG) has been synthesized by carbonizing a unique heteroatom (S, N, P, O)-containing novel polymer, poly(cyclcotriphosphazene-co-2,5-dioxy-1,4-dithiane) (PCD), for precise screening of dopamine (DA). The designed [...] Read more.
A novel, metal-free electrode based on heteroatom (S, N, P, O)-doped carbon nanoplates (SNPO-CPL) modifying lead pencil graphite (LPG) has been synthesized by carbonizing a unique heteroatom (S, N, P, O)-containing novel polymer, poly(cyclcotriphosphazene-co-2,5-dioxy-1,4-dithiane) (PCD), for precise screening of dopamine (DA). The designed electrode, SNPO-CPL-800, with optimized percentage of S, N, P, O doping through the sp2-carbon chain, and a large number of surface defects (thus leading to a maximum exposition number of catalytic active sites) led to fast molecular diffusion through the micro-porous structure and facilitated strong binding interaction with the targeted molecules in the interactive signaling transducer at the electrode–electrolyte interface. The designed SNPO-CPL-800 electrode exhibited a sensitive and selective response towards DA monitoring, with a limit of detection (LOD) of 0.01 nM. We also monitored DA levels in commercially available chicken samples using the SNPO-CPL-800 electrode even in the presence of interfering species, thus proving the effectiveness of the designed electrode for the precise monitoring of DA in real samples. This research shows there is a strong potential for opening new windows for ultrasensitive DA monitoring with metal-free electrodes. Full article
(This article belongs to the Special Issue Biosensors and Their Application in Agriculture and Food Science)
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14 pages, 2492 KiB  
Article
Development and Assessment of Regeneration Methods for Peptide-Based QCM Biosensors in VOCs Analysis Applications
by Tomasz Wasilewski, Bartosz Szulczyński, Dominik Dobrzyniewski, Weronika Jakubaszek, Jacek Gębicki and Wojciech Kamysz
Biosensors 2022, 12(5), 309; https://doi.org/10.3390/bios12050309 - 7 May 2022
Cited by 9 | Viewed by 3503
Abstract
Cleaning a quartz crystal microbalance (QCM) plays a crucial role in the regeneration of its biosensors for reuse. Imprecise removal of a receptor layer from a transducer’s surface can lead to unsteady operation during measurements. This article compares three approaches to regeneration of [...] Read more.
Cleaning a quartz crystal microbalance (QCM) plays a crucial role in the regeneration of its biosensors for reuse. Imprecise removal of a receptor layer from a transducer’s surface can lead to unsteady operation during measurements. This article compares three approaches to regeneration of the piezoelectric transducers using the electrochemical, oxygen plasma and Piranha solution methods. Optimization of the cleaning method allowed for evaluation of the influence of cleaning on the surface of regenerated biosensors. The effectiveness of cleaning the QCM transducers with a receptor layer in the form of a peptide with the KLLFDSLTDLKKKMSEC-NH2 sequence was described. Preliminary cleaning was tested for new electrodes to check the potential impact of the cleaning on deposition and the transducer’s operation parameters. The effectiveness of the cleaning was assessed via the measurement of a resonant frequency of the QCM transducers. Based on changes in the resonant frequency and the Sauerbrey equation, it was possible to evaluate the changes in mass adsorption on the transducer’s surface. Moreover, the morphology of the QCM transducer’s surface subjected to the selected cleaning techniques was presented with AFM imaging. The presented results confirm that each method is suitable for peptide-based biosensors cleaning. However, the most invasive seems to be the Piranha method, with the greatest decrease in performance after regeneration cycles (25% after three cycles). The presented techniques were evaluated for their efficiency with respect to a selected volatile compound, which in the future should allow reuse of the biosensors in particular applications, contributing to cost reduction and extension of the sensors’ lifetime. Full article
(This article belongs to the Special Issue Biosensors and Their Application in Agriculture and Food Science)
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19 pages, 8355 KiB  
Article
CBM: An IoT Enabled LiDAR Sensor for In-Field Crop Height and Biomass Measurements
by Bikram Pratap Banerjee, German Spangenberg and Surya Kant
Biosensors 2022, 12(1), 16; https://doi.org/10.3390/bios12010016 - 29 Dec 2021
Cited by 6 | Viewed by 4146
Abstract
The phenotypic characterization of crop genotypes is an essential, yet challenging, aspect of crop management and agriculture research. Digital sensing technologies are rapidly advancing plant phenotyping and speeding-up crop breeding outcomes. However, off-the-shelf sensors might not be fully applicable and suitable for agricultural [...] Read more.
The phenotypic characterization of crop genotypes is an essential, yet challenging, aspect of crop management and agriculture research. Digital sensing technologies are rapidly advancing plant phenotyping and speeding-up crop breeding outcomes. However, off-the-shelf sensors might not be fully applicable and suitable for agricultural research due to the diversity in crop species and specific needs during plant breeding selections. Customized sensing systems with specialized sensor hardware and software architecture provide a powerful and low-cost solution. This study designed and developed a fully integrated Raspberry Pi-based LiDAR sensor named CropBioMass (CBM), enabled by internet of things to provide a complete end-to-end pipeline. The CBM is a low-cost sensor, provides high-throughput seamless data collection in field, small data footprint, injection of data onto the remote server, and automated data processing. The phenotypic traits of crop fresh biomass, dry biomass, and plant height that were estimated by CBM data had high correlation with ground truth manual measurements in a wheat field trial. The CBM is readily applicable for high-throughput plant phenotyping, crop monitoring, and management for precision agricultural applications. Full article
(This article belongs to the Special Issue Biosensors and Their Application in Agriculture and Food Science)
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