Review Article
Recent Trends in
Advanced Biosensors for Early Detection of Fungal Spoilage and Mycotoxication in
Food of Animal Origin
Samah Eid1,
Elsayed S.E. Shabana2, Amany N. Dapgh3, Ahmed Shabaan2,
Ali Amer3, Asmaa E. Gamal El-deen3, Wagdy S.B.Youssef3,
Ashraf S. Hakim4 and Hussien A. Abouelhag4
1Reference Laboratory for Veterinary Quality Control on Poultry Production,
Animal Health Research Institute, Agriculture Research Center (ARC), Giza, Egypt.
2Department of Food Hygiene, Animal
Health Research Institute,
Agriculture Research Center (ARC),
Dokki, Giza, Egypt.
3Bacteriology department, Animal Health Research Institute, Agriculture
Research Center (ARC), Dokki, Giza, Egypt.
4Department of Microbiology and Immunology, National Research Centre,
33 Bohouth St., Dokki, Cairo, Egypt.
Corresponding author: Amany N. Dapgh E-mail: amany.nabil.dapgh@gmail.com
Received: 29-07-2025, Accepted: 16-08-2025. Published
online: 23-08-2025
DOI: https://doi.org/10.33687/ricosbiol.03.08.68
Abstract
The public health
concern induced by mycotoxins contamination has globally retained a prominent deal
of interest. Mycotoxins are secondarily synthetized and can accumulate in host organs
so institute adverse effects on humans and livestock, resulting in grave health
threats and often produced by certain filamentous fungi broadly found in foodstuffs.
Enhancing early trace recognition and control from the root is a more coveted approach
than the disposal way to assert food safety. Biosensors are ready to interference
from various components in intricate food matrices when recognizing trace mycotoxins.
This article focuses on advanced approaches especially incorporation of biosensors
for detection of mycotoxins in food matrices of animal origin as well as progressing
of sensing detection for food safety assurance.
Key words: Mycotoxins, milk, meat, food safety, biosensors.
Introduction
Mycotoxins are toxic secondary metabolites
formed as secondary metabolites by different filamentous fungal species and produced
under particular circumstances (Pandey et al., 2023). According to the previous
reports, there are more than 500 mycotoxins that have been recognized as toxigenic
and harmful to plant, animal, and human health and so far, could be differentiated
to groups following their own toxic impacts. The most prevalent established types
involve Aflatoxins (AFTs), Citrinin (CT), Fumonisins (FUMs), Ochratoxins (OTs),
Patulin (PAT), Trichothecenes (TCTs), and Zearalenone (ZEN) (Haque et al.,
2020).
Mycotoxins compress a set of structurally
assorted low molecular weight chemical compounds, commonly less than 1000 Da produced
when temperature within the range of 25 ± 5 °C. Additionally, water activity is
also a substantial factor affecting mycotoxin synthesis, which informs the quantity
of water attainable for microbial and chemical paths within a substance like food
(Janik et al., 2020).
Mycotoxins are sorely poisonous and their
consumption may result in acute or chronic health issues. Mycotoxicosis, has accompanied
with signs may vary relying on the type of mycotoxin and may comprise the persuading:
cytotoxicity, hepatotoxicity, nephrotoxicity, neurotoxicity, teratogenicity, and
carcinogenicity (Pandey et al., 2023).
Since the premier discovery of mycotoxins,
many analytical techniques have been scouted and employed for estimating their existence
in food and feed. Chromatographic methods have often been utilized, due to their
versatility, these comprise thin-layer chromatography (TLC) and high-performance
liquid chromatography (HPLC), in coupling with a scope of detectors such as diode
array, fluorescence and UV, as well as, gas chromatography–tandem mass spectrometry
(GC-MS/MS) and liquid chromatography–tandem mass spectrometry (LC-MS/MS). Moreover,
it is also noting the worthy role of antibody-based immunoassays in mycotoxin recognition
(Yang et al., 2020).
Essentially, a biosensor is an advanced
analytical tool that combines biological sensing components, like antibodies, enzymes,
organelles even whole cells or tissues with a transducer that known as bioreceptor.
The bioreceptor segment which also termed as ‘the detector element’ has a selective
site able to define the target and converts the biological interaction into a detectable
signal, such as an electrical, optical, or thermal output. This measurable signal
is directly proportional to the concentration of the specific analyte or group of
analytes of concern. The type of transducer used relies on the biosensor's specific
outlay while the type of biosensor is defined by transducer mechanism (Gaudin, 2017).
Methodology
1. Running Approaches in Mycotoxins Recognition
1.1. Sampling
Following to present knowledge, the readiness
of a specimen for identification requires the achievement of procedures involving
sampling, grinding, mixing, extraction, and purification. The contamination of natural,
solid products with mycotoxins is non-homogeneous and may display random allocation,
possibly resulting in false -ve data and the failure to recognize presenting threats
when sampling from improper areas is carried out (Zhang et al., 2018).
1.2. Sample Readiness: Extraction and Purification
After sampling, the specimen should be
ground and mixed to permit and speed up the chemical reaction processes. Relied
on the previous literature, the homogenized particles’ final size should be 500
µm approximately (Nakhjavan et al., 2020). There are abundant various methods
for extracting mycotoxin, and the proper choice of the pretreatment approach is
necessary because of the different consistencies of food products. Relied on the
traditional methods, the most prevalent selected are Solid–Liquid Extraction (SLE),
Solid-Phase Extraction (SPE), and QuEChERS.
SLE is one of the most prevalent tehniques
used to extract mycotoxins from various foodstuffs. SLE is easy to conduct and does
not necessitate large financial budgets and any particular instruments. However,
to obtain precise and perfect results, the solvent must be carefully chosen (Bian
et al., 2023). ii. Solid-Phase Extraction (SPE) is an efficient technique
used to extract mycotoxins. The liquid sample that comprises the analytes of interest
is passed via the unique cartridge that includes high-affinity adsorbent particles.
SPE is superior to other conventional methods, as it minimizes solvent usage, efficient
concentration, and promoted recovery rates (Badawy et al., 2022). iii. QuEChERS,
this doubled technique name is interestingly coming from the persuading terms: Quick,
Easy, Cheap, Effective, Rugged, and Safe (Pereira et al., 2015). Like in
the formerly described technique, the key of the good optimization of QuEChERS is
a good choice of sorbents (Badawy et al., 2022).
2. Techniques Used for Mycotoxin Recognition
2.1. Thin-Layer Chromatography (TLC) is a type of liquid chromatography
that was broadly employed between in the last twenty years in the past century and
still in use today because of its low analysis cost. TLC employs a stationary phase
typically formed of silica, cellulose, or alumina, pasted to an inert material such
as plastic or glass that retains the analyte in place through separation. Meanwhile,
the mobile phase, often including acetonitrile, methanol, and water mixtures, transmits
the specimen across the stationary phase (Meyers and Meyers, 2008). The visualization
of TLC can be classified into three prime categories: destructive (chemical compounds,
ninhydrin, bromocresol green, and p-methoxy benzaldehyde), semi-destructive (iodine
staining), and non-destructive (UV staining) (Ventura et al., 2005).
2.2. Liquid chromatography (LC) is one of sensitive, more specific,
and automated techniques developed to overcome the disadvantages of TLC. LC permits
the simultaneous recognition of many mycotoxins, however of their biological activity
and chemical composition. LC is more efficient in identifying mycotoxins but it
necessitates remarkably greater financial budget, involving the purchase of convenient
equipment (Yang et al., 2020).
2.3. High-performance liquid chromatography (HPLC) is a gold-standard
technique in the assessment of mycotoxin contamination in different foodstuffs.
The guidelines for their detection greatly follow similar techniques, using fluorescence
detectors, UV–visible or even mass spectrometry to enhance the sensitivity and effectiveness
(Turner et al., 2009).
2.4. Gas Chromatography (GC) is a chromatography type of which the mobile
phase is gas. GC is less used for the recognition and quantification of mycotoxins
in food specimens so a commercial protocol for GC not obtained, especially with
the presence of faster and cheaper methods like HPLC (Rodríguez-Carrasco et al.,
2014).
2.5. Enzyme-linked immunosorbent assay (ELISA) is considered one of
the most prevalent employed antibody-based immunoassays for mycotoxin determination.
ELISA exposes the simple, rapid, reliable, and simultaneous analysis of numerous
specimens. ELISA kits are usually relied on a competitive assay format and characterized
by its high specificity, portability and fast execution time. ELISA kits are limited
for single use, which may elevate the cost of conducting a screening assay of abundant
mycotoxins (Maggira et al., 2022).
2.6. Lateral flow immunoassay (LFA) is a low-cost, simple, paper-based
antibody-based immunoassay test for the rapid detection and quantification of different
analytes as mycotoxins, aflatoxin M1 in milk (Singh et al., 2022).
3. Mycotoxin Detection Techniques
3.1. Fluorescence sensors which detect target analytes depending on
the absorption and subsequent re-emission of photons by excited atoms or molecules
either via their inherent fluorescence or through conjugation with a fluorophore
(Lu et al., 2016). Fluorescent sensors are featured by their sensitivity,
affordability, and rapid response time so offer the accurate identification and
quantitative measurement of food contaminants as well as toxin recognition in milk
(Naz et al., 2025).
3.2. Electrochemiluminescence,
(ECL), is a type of luminescence sensor output during electrochemical reactions
in solutions, the prime advantage of this technique is that there is no necessity
for an excitation light source. ECL reactions are precisely controlled by electrical
potential and outright in processes. These features make ECL technology an excellent
tool for recognizing tiny amounts of toxins in food and the environment, as well
as for diagnosing illnesses (Lv et al., 2023). Relying on the kinds of sensing
components utilized, ECL biosensors can be classified into 3 groups, based on antibodies,
aptamers, as well as molecular imprinting polymers (MIPs).
3.2.1. Immunosensors, employing antibodies as detection elements, display
heightened specificity and sensitivity arisen from the unique merits of the binding
between antigens and antibodies carried on nanoparticles (Li et al., 2021).
These nanoparticles gave anchoring sites for immobilizing another antibody and served
as efficient carriers (Lv et al., 2023). Immunosensors were applied for the
precise detection of Aflatoxin M1 (AFM1) in milk and dairy products (Angelopoulou
et al., 2023) as well as T-2 toxin in swine meat (Wang et al., 2018).
Otherwise, there are existed challenges and limitations to be addressed in the utilization
of immunosensors. Antibody bioactivity is sensitive to environmental circumstances,
and this led to notable possibility of cross-reactions between antibodies and other
biomolecules. This concern results in inaccurate data, involving both false positives
and false negatives during real specimen analysis. Therefore, it is fundamentally,
that the accuracy and reliability of recognition are further modulated and developed
in future studies, contribute to reliable and precise mycotoxin detection (Szelenberger
et al., 2024).
3.2.2. Aptamer-Based Biosensor are short, single-stranded RNA or DNA
(ssRNA or ssDNA) molecules that can selectively bind to a particular target, involving
proteins, toxins, small molecules, and even live cells. In converse to antibodies,
aptamers are not susceptible to temperature and are chemically stable, therefore,
it is a promising ECL approach particularly for its prospect of coupling nanoparticles
featuring unique physical and chemical merits to the terminal of nucleic acids (Jia
et al., 2022). Updated various DNA
hybridization techniques have been utilized in mycotoxin detection, Aflatoxin B1,
Aflatoxin M1in milk and fumonisin B1
in meat (Ahmadi et al., 2022, Ramezani et al., 2022 and Sun et
al., 2023).
3.2.3. Molecular Imprinted polymers (MIPs) have acquired fundamental
attention for their peculiar advantages, comprising exceptional selectivity, rapidity,
reusability, and simplicity. Molecular imprint plays a pivotal role in these detection
processes by achieving specific cavities that mimic the structure and shape of target
molecules. These unique properties have resulted in the employment of MIP approaches
for the efficient label-free recognition of mycotoxins, aflatoxins (Díaz-Bao et
al., 2016) and zearalenone (Yugender Goud et al., 2019). In spite of
some drawbacks, average sensitivity, a restricted ability to detect macromolecular
targets, and complex preparation steps, MIPs have continued progresses and enhanced
the abilities to meet analytical requirements across industries (Szelenberger et
al., 2024).
4. Incorporated Biosensor Implementations in Food Safety Management
Food safety links to the assertion that food, when readiness and consumed
as proposed, does not induce harm upon the consumer (Sorbo et al., 2022).
Legislation intending food safety in developing countries is broadly not established,
constituting a concern of health protection. The overall principle is to utilize
an incorporated approach, involving all sides of the food chain, from farm to fork.
Attachment to food safety requirements the systematic management of food hygiene
and standards, asserting that the food products supplied are considered safe for
consumption so it is necessary to establish a scientific basis for risk management
(Lizakowski, 2019).
Naturally sourced food products often
load microbiological risks. Even with significant progress in food safety, microorganisms
remain the biggest threat to what we consume. To address this, microbiological criteria
provide guidelines for the acceptability of food products and their production processes
(Sosnowski and Osek, 2021). Preventive
measures are substantial for food safety as Good Hygiene and Manufacturing Practices
(GHP, GMP), Hazard Analysis Critical Control Points (HACCP) principles and Food
Contact Material (FCM) Migration Testing (Eid et al., 2025).
Animal products such as meat, milk, eggs,
or offal can be contaminated via the animals’ diet. This highlights the need for
a comprehensive approach to monitoring and controlling the existence of mycotoxins
(El-Sayed et al., 2020). The use of biosensors in meat processing plants,
encompassing slaughterhouses and dairies, can play a pivotal role in early recognition
and prevention. By monitoring the existence of mycotoxins, these biosensors can
aid and assert that meat and dairy products couple stringent safety standards prior
to reaching consumers.
Conclusion
Biosensors are constantly improving and
being integrated into food safety systems, showing that this is a rapidly changing
field with huge potential to make our food supply safer and better. As technology,
connectivity, and teamwork across different disciplines advance, we'll see even
more uses for biosensors in keeping our food safe.
References
Ahmadi
SF, Hojjatoleslamy M, Kiani H and Molavi H. (2022) Monitoring of Aflatoxin M1 in
milk using a novel electrochemicalaptasensorbased on reduced graphene oxide and
gold nanoparticles. Food Chem. 30,373(Pt A):131321.
Angelopoulou
M, Kourti D, Misiakos K, Economou A, Petrou Pand Kakabakos S. (2023). Mach-Zehnder
Interferometric Immunosensor for Detection of Aflatoxin M1 in Milk, Chocolate Milk,
and Yogurt. Biosensors (Basel). 30,13(6),592.
Badawy M.E.I., El-Nouby M.A.M., Kimani P.K., Lim L.W. and Rabea E.I. (2022). A
review of the modern principles and applications of solid-phase extraction techniques
in chromatographic analysis. Anal. Sci.,38,1457–1487.
Bian
Y., Zhang Y., Zhou Y., Wei B. and Feng X. (2023). Recent Insights into Sample Pretreatment
Methods for Mycotoxins in Different Food Matrices: A Critical Review on Novel Materials.
Toxins, 15,215.
Díaz-Bao
M, Regal P, Barreiro R, Fente CA. and
Cepeda A. (2016). A facile method for the fabrication of magnetic molecularly imprinted
stir-bars: A practical example with aflatoxins in baby foods. J Chromatogr A., 1471,51-59.
Eid S.,
Gehad F.A. Fath Elbab , Amany N. Dapgh, Hakim A. S., Wagdy
S.B. Youssef and Hussien A. Abouelhag. (2025). Food Contact Material (FCM) Migration
Testing: Novel Assay for Ensuring Food Safety. Ricos Biology Journal, Vol. 3 (7)
12-16.
El-Sayed
R., Jebur A., Kang W., El-Esawi M. and El-Demerdash F. (2020). An overview on the major mycotoxins in
food products: Characteristics, toxicity, and analysis. J. Future Foods, 2,91–102.
Gaudin
V. (2017). Advances in biosensor development for the screening of antibiotic residues
in food products of animal origin—A comprehensive review. Biosens. Bioelectron,
90,363–377.
Yang
Y., Li G., Wu D., Liu J., Li X., Luo P., Hu N., Wang H. and Wu Y. (2020). Recent
advances on toxicity and determination methods of mycotoxins in foodstuffs. Trends
Food Sci. Technol, 96,233–252.
Haque
M.A., Wang Y., Shen Z., Li X., Saleemi M.K. and He C.
(2020). Mycotoxin contamination and control strategy in human, domestic animal and
poultry: A review. Microb. Pathog., 142,104095.
Janik
E., Niemcewicz M., Ceremuga M., Stela M., Saluk-Bijak J., Siadkowski
A. and Bijak M. (2020). Molecular Aspects of Mycotoxins—A
Serious Problem for Human Health. Int. J. Mol. Sci., 21,8187.
Jia M.,
Jia B., Liao X., Shi L., Zhang Z., Liu M., Zhou L., Li D. and Kong W. (2022). A
CdSe@CdS quantum dots based electrochemiluminescence aptasensor for sensitive detection
of ochratoxin A. Chemosphere, 287,131994.
Li M.,
Yue Q., Fang J., Wang C., Cao W. and Wei Q. (2022). Au modified spindle-shaped cerium
phosphate as an efficient co-reaction accelerator to amplify electrochemiluminescence
signal of carbon quantum dots for ultrasensitive analysis of aflatoxin B1. Electrochim.
Acta., 407,139912.
Lizakowski
P K.A. (2019). Legal regulations and administration of food safety. World Sci. News.,
122,133–144.
Lu S.,
Li G., Lv Z., Qiu N., Kong W., Gong P., Chen G., Xia L., Guo X., You J. and et
al. (2016). Facile and ultrasensitive fluorescence sensor platform for tumor
invasive biomarker beta-glucuronidase detection and inhibitor evaluation with carbon
quantum dots based on inner-filter effect. Biosens. Bioelectron, 85,358–362.
Lv X.,
Tan F., Miao T., Cui B., Zhang J., Fang Y. and Shen Y. (2023). In situ generated
PtNPs to enhance electrochemiluminescence of multifunctional nanoreactor COP T(4)VTP(6)
for AFB(1) detection. Food Chem., 399,134002.
Maggira
M, Sakaridis I, Ioannidou M
and Samouris G. (2022). Comparative Evaluation of Three
Commercial Elisa Kits Used for the Detection of Aflatoxins B1, B2, G1, and G2 in
Feedstuffs and Comparison with an HPLC Method. Vet Sci., 9(3),104.
Meyers
C.L.F. and Meyers D.J. (2008). Thin-Layer Chromatography. Curr. Protoc. Nucleic
Acid. Chem., 34, A.3D.1–A.3D.13.
Nakhjavan
B., Ahmed N.S. and Khosravifard M. (2020). Development
of an improved method of sample extraction and quantitation of multi-mycotoxin in
feed by LC-MS/MS. Toxins, 12,462.
Naz I,
Alanazi SJF, Hayat A and Jubeen
F. (2025). Covalent organic framework-based aptananozyme (COF@NH2 apt-AFM1):
A novel platform for colorimetric and fluorescent aptasensing of AFM1
in milk. Food Chem., 484,144478.
Pandey
A.K., Samota M.K., Kumar A., Silva A.S. and Dubey N.K. (2023). Fungal mycotoxins
in food commodities: Present status and future concerns. Front. Sustain. Food Syst.,
7,1162595.
Pereira
V., Fernandes J. and Cunha S. (2015). Comparative assessment of three cleanup procedures
after QuEChERS extraction for determination of trichothecenes (type A and type B)
in processed cereal-based baby foods by GC–MS. Food Chem., 182,143–149.
Ramezani
M, Jalalian SH, Taghdisi SM, Abnous
K and Alibolandi M. (2022). Optical and Electrochemical
Aptasensors for Sensitive Detection of Aflatoxin B1 and Aflatoxin M1
in Blood Serum, Grape Juice, and Milk Samples. Methods Mol Biol., 2393,417-436.
Rodríguez-Carrasco
Y., Moltó J.C., Berrada H.
and Mañes J. (2014). A survey of trichothecenes, zearalenone
and patulin in milled grain-based products using GC–MS/MS. Food Chem.,146,212–219.
Singh
H, Singh S, Bhardwaj SK, Kaur G, Khatri M, Deep A and Bhardwaj N. (2022). Development
of carbon quantum dot-based lateral flow immunoassay for sensitive detection of
aflatoxin M1 in milk. Food Chem., 1 393,133374.
Sorbo
A., Pucci E., Nobili C., Taglieri I., Passeri D. and Zoani C. (2022). Food Safety Assessment: Overview of Metrological
Issues and Regulatory Aspects in the European Union. Separations, 9,53.
Sosnowski M. and Osek J. (2021). Microbiological Safety of Food of Animal Origin
from Organic Farms. J. Vet. Res., 65,87–92.
Sun Y,
Lv Y, Zhang Y and Wang Z. (2023). A stimuli-responsive
colorimetric aptasensor based on the DNA hydrogel-coated MOF for fumonisin B1
determination in food samples. Food Chem., 403,134242.
Szelenberger
R, Cichoń N, Zajaczkowski W
and Bijak M. (2024). Application of Biosensors for the
Detection of Mycotoxins for the Improvement of Food Safety. Toxins (Basel), 27 16(6),249.
Turner
N.W., Subrahmanyam S. and Piletsky S.A. (2009). Analytical
methods for determination of mycotoxins: A review. Anal. Chim. Acta, 632,168–180.
Ventura
M, Anaya I, Broto-Puig F, Agut M and Comellas L. (2005). Two-dimensional thin-layer chromatographic
method for the analysis of ochratoxin A in green coffee. J Food Prot., 68(9),1920-2.
Wang
Y, Zhang L, Peng D, Xie S, Chen D, Pan Y, Tao Y and Yuan Z. (2018). Construction
of Electrochemical Immunosensor Based on Gold-Nanoparticles/Carbon Nanotubes/Chitosan
for Sensitive Determination of T-2 Toxin in Feed and Swine Meat. Int J Mol Sci.,
19(12),3895.
Yugender
Goud K., Sunil Kumar V., Hayat A., Vengatajalabathy Gobi K., Song H., Kim K.-H.
and Marty J.L. (2019). A highly sensitive electrochemical immunosensor for zearalenone
using screen-printed disposable electrodes. J. Electroanal. Chem., 832,336–342.
Zhang
L., Dou X.-W., Zhang C., Logrieco A.F. and Yang M.-H.
(2018). A review of current methods for analysis of mycotoxins in herbal medicines.
Toxins, 10,65.