Recent Advances in Biosensor Technology for Food Applications

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Engineering and Technology".

Deadline for manuscript submissions: closed (15 February 2024) | Viewed by 5740

Special Issue Editor


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Guest Editor
College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China
Interests: optical and electrochemical sensors; detection; food safety
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the increased globalization of food supply, the need for stringent food regulations and safety measures is a prime health concern. Unsafe food can be linked to an estimated 2 million deaths annually, including children. Due to their simple instrumentation, good selectivity, cheap costs, and easy automation, biosensors have been widely used in monitoring common food contaminants such as heavy metals, pathogens, mycotoxins, antibiotics, herbicides, pesticides, veterinary drugs, illegal additives, and allergens. Biosensors essentially comprise biological recognition elements (enzymes, antibodies, nucleic acids, molecularly imprinted polymers, etc.) coupled to some form of transducer, which converts specific analytes bound to bioreceptors into measurable or detectable optical, mechanical, or electrical signals. In recent years, various metal, carbon, magnetic and semiconductor nanomaterials have been broadly employed as transducing elements in order to enhance sensing sensitivity. Despite the promising prospects of biosensors in food safety monitoring, this area still needs further improvement, especially in terms of practical applications.

Dr. Xiaojun Bian
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Keywords

  • biosensors
  • monitoring
  • biological recognition elements
  • enzymes
  • antibodies
  • nucleic acids
  • molecularly imprinted polymers
  • optical, mechanical, or electrical signals
  • metal
  • carbon
  • magnetic nanomaterials
  • semiconductor nanomaterials
  • food safety
  • food contaminants

Published Papers (5 papers)

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Research

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15 pages, 3754 KiB  
Article
A Novel Molecularly Imprinted Quartz Crystal Microbalance Sensor Based on Erbium Molybdate Incorporating Sulfur-Doped Graphitic Carbon Nitride for Dimethoate Determination in Apple Juice Samples
by Neslihan Özdemir, Betül Karslıoğlu, Bahar Bankoğlu Yola, Necip Atar and Mehmet Lütfi Yola
Foods 2024, 13(5), 810; https://doi.org/10.3390/foods13050810 - 06 Mar 2024
Viewed by 629
Abstract
Dimethoate (DIM) as an organophosphorus pesticide is widely utilized especially in the cultivation of vegetables and fruits due to its killing effect on harmful insects. However, unconscious use of DIM in large amounts can also cause serious health problems. For these reasons, rapid [...] Read more.
Dimethoate (DIM) as an organophosphorus pesticide is widely utilized especially in the cultivation of vegetables and fruits due to its killing effect on harmful insects. However, unconscious use of DIM in large amounts can also cause serious health problems. For these reasons, rapid and reliable detection of DIM from food samples is significant. In this study, a novel quartz crystal microbalance (QCM) sensor based on erbium molybdate incorporating sulfur-doped graphitic carbon nitride (EM/S-g-C3N4) and a molecularly imprinting polymer (MIP) was designed for DIM detection in apple juice samples. Firstly, an EM/S-g-C3N4 nanocomposite with high purity was prepared under hydrothermal conditions at high temperatures over a long period of time. After the modification of the EM/S-g-C3N4 nanocomposite on a QCM chip, the polymerization solution including N,N′-azobisisobutyronitrile (AIBN) as an initiator, ethylene glycol dimethacrylate (EGDMA) as a cross-linker, methacryloylamidoglutamic acid (MAGA) as a monomer, and DIM as an analyte was prepared. Then, the polymerization solution was dropped on an EM/S-g-C3N4 nanocomposite modified QCM chip and an ultraviolet polymerization process was applied for the formation of the DIM-imprinted polymers on the EM/S-g-C3N4 nanocomposite modified QCM chip. After the polymerization treatment, some characterization studies, including electrochemical, microscopic, and spectroscopic methods, were performed to illuminate the surface properties of the nanocomposite and the prepared QCM sensor. The values of the limit of quantification (LOQ) and the detection limit (LOD) of the prepared QCM sensor were as 1.0 × 10−9 M and 3.3 × 10−10 M, respectively. In addition, high selectivity, stability, reproducibility, and repeatability of the developed sensor was observed, providing highly reliable analysis results. Finally, thanks to the prepared sensor, it may be possible to detect pesticides from different food and environmental samples in the future. Full article
(This article belongs to the Special Issue Recent Advances in Biosensor Technology for Food Applications)
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20 pages, 19102 KiB  
Article
Flexible Sensing Enabled Nondestructive Detection on Viability/Quality of Live Edible Oyster
by Pengfei Liu, Xiaotian Qu, Xiaoshuan Zhang and Ruiqin Ma
Foods 2024, 13(1), 167; https://doi.org/10.3390/foods13010167 - 03 Jan 2024
Viewed by 819
Abstract
Environmental and physiological fluctuations in the live oyster cold chain can result in reduced survival and quality. In this study, a flexible wireless sensor network (F-WSN) monitoring system combined with knowledge engineering was designed and developed to monitor environmental information and physiological fluctuations [...] Read more.
Environmental and physiological fluctuations in the live oyster cold chain can result in reduced survival and quality. In this study, a flexible wireless sensor network (F-WSN) monitoring system combined with knowledge engineering was designed and developed to monitor environmental information and physiological fluctuations in the live oyster cold chain. Based on the Hazard Analysis and Critical Control Point (HACCP) plan to identify the critical control points (CCPs) in the live oyster cold chain, the F-WSN was utilized to conduct tracking and collection experiments in real scenarios from Yantai, Shandong Province, to Beijing. The knowledge model for shelf-life and quality prediction based on environmental information and physiological fluctuations was established, and the prediction accuracies of TVB-N, TVC, and pH were 96%, 85%, and 97%, respectively, and the prediction accuracy of viability was 96%. Relevant managers, workers, and experts were invited to participate in the efficiency and applicability assessment of the established system. The results indicated that combining F-WSN monitoring with knowledge-based HACCP modeling is an effective approach to improving the transparency of cold chain management, reducing quality and safety risks in the oyster industry, and promoting the sharing and reuse of HACCP knowledge in the oyster cold chain. Full article
(This article belongs to the Special Issue Recent Advances in Biosensor Technology for Food Applications)
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20 pages, 2222 KiB  
Article
Impedimetric Polyaniline-Based Aptasensor for Aflatoxin B1 Determination in Agricultural Products
by Jing Yi Ong, Sook-Wai Phang, Choo Ta Goh, Andrew Pike and Ling Ling Tan
Foods 2023, 12(8), 1698; https://doi.org/10.3390/foods12081698 - 19 Apr 2023
Cited by 2 | Viewed by 1416
Abstract
An impedimetric aptasensor based on a polyaniline (PAni) support matrix is developed through the surface modification of a screen-printed carbon electrode (SPE) for aflatoxin B1 (AFB1) detection in foodstuffs and feedstuffs for food safety. The PAni is synthesized with the [...] Read more.
An impedimetric aptasensor based on a polyaniline (PAni) support matrix is developed through the surface modification of a screen-printed carbon electrode (SPE) for aflatoxin B1 (AFB1) detection in foodstuffs and feedstuffs for food safety. The PAni is synthesized with the chemical oxidation method and characterized with potentiostat/galvanostat, FTIR, and UV–vis spectroscopy techniques. The stepwise fabrication procedure of the PAni-based aptasensor is characterized by means of cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) methods. The impedimetric aptasensor is optimized using the EIS technique, and its feasibility of detecting AFB1 in real sample matrices is evaluated via a recovery study in spiked foodstuffs and feedstuffs, such as pistachio nuts, cinnamons, cloves, corn, and soybeans, with a good recovery percentage, ranging from 87.9% to 94.7%. The charge transfer resistance (RCT) at the aptasensor interface increases linearly with the AFB1 concentration in the range of 3 × 10−2 nM to 8 × 10−2 nM, with a regression coefficient (R2) value of 0.9991 and detection limit of 0.01 nM. The proposed aptasensor is highly selective towards AFB1 and partially selective to AFB2 and ochratoxin A (OTA) due to their similar structures that differ only at the carbon–carbon double bond located at C8 and C9 and the large molecule size of OTA. Full article
(This article belongs to the Special Issue Recent Advances in Biosensor Technology for Food Applications)
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14 pages, 3121 KiB  
Article
Rapid and Sensitive Detection of Sulfamethizole Using a Reusable Molecularly Imprinted Electrochemical Sensor
by Jie Kong, Xiaoli Xu, Yixin Ma, Junjian Miao and Xiaojun Bian
Foods 2023, 12(8), 1693; https://doi.org/10.3390/foods12081693 - 19 Apr 2023
Cited by 2 | Viewed by 1152
Abstract
Efficient methods for monitoring sulfonamides (SAs) in water and animal-source foods are of great importance to achieve environmental safety and protect human health. Here, we demonstrate a reusable and label-free electrochemical sensor for the rapid and sensitive detection of sulfamethizole based on an [...] Read more.
Efficient methods for monitoring sulfonamides (SAs) in water and animal-source foods are of great importance to achieve environmental safety and protect human health. Here, we demonstrate a reusable and label-free electrochemical sensor for the rapid and sensitive detection of sulfamethizole based on an electropolymerized molecularly imprinted polymer (MIP) film as the recognition layer. To achieve effective recognition, monomer screening among four kinds of 3-substituted thiophenes was performed by computational simulation and subsequent experimental evaluation, and 3-thiopheneethanol was finally selected. MIP synthesis is very fast and green, and can be in situ fabricated on the transducer surface within 30 min in an aqueous solution. The preparation process of the MIP was characterized by electrochemical techniques. Various parameters affecting MIP fabrication and its recognition response were investigated in detail. Under optimized experimental conditions, good linearity in the range of 0.001−10 μM and a low determination limit of 0.18 nM were achieved for sulfamethizole. The sensor showed excellent selectivity, which can distinguish between structurally similar SAs. In addition, the sensor displayed good reusability and stability. Even after 7 days of storage, or being reused 7 times, higher than 90% of the initial determination signals were retained. The practical applicability of the sensor was also demonstrated in spiked water and milk samples at the nM determination level with satisfactory recoveries. Compared to relevant methods for SAs, this sensor is more convenient, rapid, economical, and eco-friendly, and had comparable or even higher sensitivity, which offered a simple and efficient method for SA detection. Full article
(This article belongs to the Special Issue Recent Advances in Biosensor Technology for Food Applications)
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Review

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16 pages, 2356 KiB  
Review
Recent Studies and Applications of Hydrogel-Based Biosensors in Food Safety
by Yuzhen Li, Hongfa Zhang, Yan Qi and Chunping You
Foods 2023, 12(24), 4405; https://doi.org/10.3390/foods12244405 - 07 Dec 2023
Cited by 1 | Viewed by 1251
Abstract
Food safety has increasingly become a human health issue that concerns all countries in the world. Some substances in food that can pose a significant threat to human health include, but are not limited to, pesticides, biotoxins, antibiotics, pathogenic bacteria, food quality indicators, [...] Read more.
Food safety has increasingly become a human health issue that concerns all countries in the world. Some substances in food that can pose a significant threat to human health include, but are not limited to, pesticides, biotoxins, antibiotics, pathogenic bacteria, food quality indicators, heavy metals, and illegal additives. The traditional methods of food contaminant detection have practical limitations or analytical defects, restricting their on-site application. Hydrogels with the merits of a large surface area, highly porous structure, good shape-adaptability, excellent biocompatibility, and mechanical stability have been widely studied in the field of food safety sensing. The classification, response mechanism, and recent application of hydrogel-based biosensors in food safety are reviewed in this paper. Furthermore, the challenges and future trends of hydrogel biosensors are also discussed. Full article
(This article belongs to the Special Issue Recent Advances in Biosensor Technology for Food Applications)
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