Biosensing of Food Toxicants, Agricultural and Environmental Safety Hazards

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Environmental Biosensors and Biosensing".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 8395

Special Issue Editors


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Guest Editor
TERI-Deakin Nanobiotechnology Centre, The Energy and Resources Institute, Gwal Pahari, Gurugram, Haryana 122003, India
Interests: nano-food technology; food nutrition, food safety; biomaterials; biosensor
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Guest Editor
Department of Biological Engineering, Biohybrid Systems Research Center (BSRC), Inha University, Incheon 22212, Korea
Interests: optical sensor; plasmonic sensor; flexible sensor; electrochemical sensor; biofunctional materials
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Agricultural and food safety is an increasingly important public health issue for both consumers and the food industry. In agro-food practices, farmers use numerous pesticides to protect crops and food before and after harvesting. “Pesticide” is a term used in a broad sense for organic toxic compounds, including heavy metal ions, and pesticide residues may enter into the food chain through air, water, and soil. They affect ecosystems and cause several health problems in animals and humans. They can be carcinogenic and/or cytotoxic, and can produce bone marrow and nerve disorders, infertility, and immunological and respiratory diseases. The detection of pesticides, toxins, and metal ions at the levels established by the Environmental Protection Agency (EPA) remains a challenge.

The growing production of foodstuffs and the ever-present threat of agricultural and food contamination have forced the industry to pursue simple, rapid, and cost-effective analytical approaches for the detection of harmful residues in agricultural products to ensure the health of consumers.

Conventional methods coupled to selective detectors have traditionally been used for pesticide/toxin/heavy metal analysis due to their sensitivity, reliability, and efficiency. Nevertheless, they are time consuming and laborious, and require expensive equipment and highly trained technicians. With the rapid development of nanotechnology and biological technology, biosensing techniques integrated with new materials and devices have shown great potential in agricultural and food industries.

Over the past decade, considerable attention has been given to the development of biosensors for the detection of pesticides as a promising alternative. A biosensor is a self-contained device that integrates an immobilized biological element (e.g., enzyme, DNA probe, antibody) that recognizes the analyte (e.g., enzyme substrate, complementary DNA, antigen) and a transduction element used to convert the (bio)chemical signal resulting from the interaction of the analyte with the bioreceptor into an electronic one. Additionally, their low cost, simple design, and small size make them excellent candidates for the development of rapid and portable biosensors.

To clearly report the latest advances, biosensors have been classified according to their immobilized recognition element. New trends in the field of pesticide analysis are also reviewed. Aptamers are shown as good candidates to replace the conventional antibodies and, thus, to be the biorecognition elements in more robust and stable biosensors for pesticide detection. Recent reports on the properties of nanomaterials show nanoparticles and nanotubes as promising tools to improve the efficiency of biosensors for the detection of pesticides. Over the past several years, the number of publications related to biosensors and the detection of harmful residues in agricultural products have increased rapidly, which implies that biosensors are playing an important role in safety issues related to agriculture, the food industry, and the environment.

This Special Issue is designed to gather recent findings of newly established biosensors and nanomaterials in this platform to enable the detection of several biological hazards (including pesticides, toxins, and heavy metal ions) to assist in disease diagnosis. We invite review and original research articles that focus on understanding nanomaterial-coupled biosensors for the detection of food toxicants, pathogens, agricultural pesticides, heavy metal ions, and other analytes related to environmental and human health.

Prof. Dr. Shruti Shukla
Dr. Yun Suk Huh
Dr. Vivek K. Bajpai
Guest Editors

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Published Papers (4 papers)

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Research

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15 pages, 6880 KiB  
Article
A New, Extremely Sensitive, Turn-Off Optical Sensor Utilizing Schiff Base for Fast Detection of Cu(II)
by Lotfi M. Aroua, Reham Ali, Abuzar E. A. E. Albadri, Sabri Messaoudi, Fahad M. Alminderej and Sayed M. Saleh
Biosensors 2023, 13(3), 359; https://doi.org/10.3390/bios13030359 - 08 Mar 2023
Cited by 11 | Viewed by 1842
Abstract
Throughout this research, a unique optical sensor for detecting one of the most dangerous heavy metal ions, Cu(II), was designed and developed. The (4-mercaptophenyl) iminomethylphenyl naphthalenyl carbamate (MNC) sensor probe was effectively prepared. The Schiff base of the sensor shows a “turn-off” state [...] Read more.
Throughout this research, a unique optical sensor for detecting one of the most dangerous heavy metal ions, Cu(II), was designed and developed. The (4-mercaptophenyl) iminomethylphenyl naphthalenyl carbamate (MNC) sensor probe was effectively prepared. The Schiff base of the sensor shows a “turn-off” state with excellent sensitivity to Cu(II) ions. This innovative fluorescent chemosensor possesses distinctive optical features with a substantial Stocks shift (about 114 nm). In addition, MNC has remarkable selectivity for Cu(II) relative to other cations. Density functional theory (DFT) and the time-dependent DFT (TDDFT) theoretical calculations were performed to examine Cu(II) chelation structures and associated electronic properties in solution, and the results indicate that the luminescence quenching in this complex is due to ICT. Chelation-quenched fluorescence is responsible for the internal charge transfer (ICT)-based selectivity of the MNC sensing molecule for Cu(II) ions. In a 1:9 (v/v) DMSO-HEPES buffer (20 mM, pH = 7.4) solution, Fluorescence and UV-Vis absorption of the MNC probe and Cu(II) ions were investigated. By utilizing a solution containing several metal ions, the interference of other metal ions was studied. This MNC molecule has outstanding selectivity and sensitivity, as well as a low LOD (1.45 nM). Consequently, these distinctive properties enable it to find the copper metal ions across an actual narrow dynamic range (0–1.2 M Cu(II)). The reversibility of the sensor was obtained by employing an EDTA as a powerful chelating agent. Full article
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13 pages, 2318 KiB  
Article
Production and Selection of Antibody–Antigen Pairs for the Development of Immunoenzyme Assay and Lateral Flow Immunoassay Methods for Carbofuran and Its Analogues
by Yuxiang Wu, Qi Fan, Yinuo Chen, Xia Sun and Guoqing Shi
Biosensors 2022, 12(8), 560; https://doi.org/10.3390/bios12080560 - 24 Jul 2022
Cited by 2 | Viewed by 1740
Abstract
To produce a sensitive monoclonal antibody (mAb) for the simultaneous detection of carbofuran, benfuracarb, carbosulfan and 3-hydroxy-carbofuran, 2,3-dihydro-2,2-dimethyl-7-benzofuranmethanamine (DDB) was conjugated to bovine serum albumin (BSA) to prepare the immunogen DDB-BSA and mice were immunized. Coating antigens were prepared by conjugating DDB and [...] Read more.
To produce a sensitive monoclonal antibody (mAb) for the simultaneous detection of carbofuran, benfuracarb, carbosulfan and 3-hydroxy-carbofuran, 2,3-dihydro-2,2-dimethyl-7-benzofuranmethanamine (DDB) was conjugated to bovine serum albumin (BSA) to prepare the immunogen DDB-BSA and mice were immunized. Coating antigens were prepared by conjugating DDB and 5-methoxy-2,3-dihydrobenzofuran-3-acetic acid (MDA) to BSA and ovalbumin (OVA), respectively. Furthermore, the effect of different antibody–antigen pairs on the sensitivity of ELISA and LFIA methods for the detection of carbofuran was investigated. After the immunization, a high-affinity mAb 13C8 was obtained. The ability of the coating antigen to compete with carbofuran for binding antibodies was found to be significantly different between ELISA and LFIA methods. With the antibody–antigen pair 13C8-MDA-OVA, the IC50 values of the ELISA and QD-LFIA methods for carbofuran were 0.18 ng/mL and 0.67 ng/mL, respectively. The cross-reactivity (CR) values of the two methods for benfuracarb, carbosulfan and 3-hydroxy-carbofuran ranged from 72.0% to 83.7%, while, for other carbamate pesticides, the CR values were less than 1%. The spiked recoveries of carbofuran in vegetables by the QD-LFIA method were 83–111%, with a coefficient of variation below 10%, and the test results of the actual samples were consistent with the HPLC-MS method. Overall, this study provides key materials for the development of immunoassays for carbofuran and its analogues, and the antibody–antigen pair selection strategy established in this study provides useful insights for the development of sensitive immunoassays for other compounds. Full article
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Review

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22 pages, 2312 KiB  
Review
Scope of Onsite, Portable Prevention Diagnostic Strategies for Alternaria Infections in Medicinal Plants
by Sadhana Shukla, Pushplata Singh, Shruti Shukla, Sajad Ali and Nidhi Didwania
Biosensors 2023, 13(7), 701; https://doi.org/10.3390/bios13070701 - 01 Jul 2023
Viewed by 2035
Abstract
Medicinal plants are constantly challenged by different biotic inconveniences, which not only cause yield and economic losses but also affect the quality of products derived from them. Among them, Alternaria pathogens are one of the harmful fungal pathogens in medicinal plants across the [...] Read more.
Medicinal plants are constantly challenged by different biotic inconveniences, which not only cause yield and economic losses but also affect the quality of products derived from them. Among them, Alternaria pathogens are one of the harmful fungal pathogens in medicinal plants across the globe. Therefore, a fast and accurate detection method in the early stage is needed to avoid significant economic losses. Although traditional methods are available to detect Alternaria, they are more time-consuming and costly and need good expertise. Nevertheless, numerous biochemical- and molecular-based techniques are available for the detection of plant diseases, but their efficacy is constrained by differences in their accuracy, specificity, sensitivity, dependability, and speed in addition to being unsuitable for direct on-field studies. Considering the effect of Alternaria on medicinal plants, the development of novel and early detection measures is required to detect causal Alternaria species accurately, sensitively, and rapidly that can be further applied in fields to speed up the advancement process in detection strategies. In this regard, nanotechnology can be employed to develop portable biosensors suitable for early and correct pathogenic disease detection on the field. It also provides an efficient future scope to convert innovative nanoparticle-derived fabricated biomolecules and biosensor approaches in the diagnostics of disease-causing pathogens in important medicinal plants. In this review, we summarize the traditional methods, including immunological and molecular methods, utilized in plant-disease diagnostics. We also brief advanced automobile and efficient sensing technologies for diagnostics. Here we are proposing an idea with a focus on the development of electrochemical and/or colorimetric properties–based nano-biosensors that could be useful in the early detection of Alternaria and other plant pathogens in important medicinal plants. In addition, we discuss challenges faced during the fabrication of biosensors and new capabilities of the technology that provide information regarding disease management strategies. Full article
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14 pages, 1777 KiB  
Review
Recent Developments in the Applications of GO/rGO-Based Biosensing Platforms for Pesticide Detection
by Geetha Gopal, Namrata Roy and Amitava Mukherjee
Biosensors 2023, 13(4), 488; https://doi.org/10.3390/bios13040488 - 19 Apr 2023
Cited by 3 | Viewed by 1954
Abstract
Pesticides are often used in different applications, including agriculture, forestry, aquaculture, food industry, etc., for the purpose of controlling insect pests and weeds. The indiscriminate usage of pesticides poses a massive threat to food, environmental, and human health safety. Hence, the fabrication of [...] Read more.
Pesticides are often used in different applications, including agriculture, forestry, aquaculture, food industry, etc., for the purpose of controlling insect pests and weeds. The indiscriminate usage of pesticides poses a massive threat to food, environmental, and human health safety. Hence, the fabrication of a sensitive and reliable sensor for the detection of pesticide residues in agro products and environmental samples is a critical subject to be considered. Recently, the graphene family including graphene oxide (GO) and reduced graphene oxide (rGO) have been frequently employed in the construction of sensors owing to their biocompatibility, high surface-area-to-volume ratio, and excellent physiochemical, optical, and electrical properties. The integration of biorecognition molecules with GO/rGO nanomaterials offers a promising detection strategy with outstanding repeatability, signal intensity, and low background noise. This review focuses on the latest developments (2018 to 2022) in the different types of GO/rGO-based biosensors, such as surface plasmon resonance (SPR), fluorescence resonance energy transfer (FRET), and electrochemical-based techniques, among other, for pesticide analysis. The critical discussions on the advantages, limitations, and sensing mechanisms of emerging GO/rGO-based biosensors are also highlighted. Additionally, we explore the existing hurdles in GO/rGO-based biosensors, such as handling difficult biological samples, reducing the total cost, and so on. This review also outlines the research gaps and viewpoints for future innovations in GO/rGO-based biosensors for pesticide determination mainly in areas with insufficient resources. Full article
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