Food Quality Monitoring Research Articles

Enzymatic Biosensors: Advanced Tools for Soil and Plant Health Monitoring

Soil health is the potential of the soil to support the productivity of organisms, preserve the environment, and improve the health of plants and animals. Healthy soil is vital for agricultural sustainability and environmental resilience. The presence of high concentrations of toxic chemicals (pollutants and contaminants) in the soil poses a significant risk to human health and the ecosystem. Plant health is influenced by various factors, including the surrounding environment. To minimize constraints such as low nutrient levels, ecosystem contamination/pollution, and pest and disease incidences in crops, and to maximize productivity and ensure agricultural sustainability, advanced detection and management strategies are urgently needed. Diagnosis, prediction, and monitoring are essential for managing agricultural practices to mitigate these harmful impacts. The development of improved biosensing devices has been driven by the demand for quick, accurate, sensitive, real-time, and fast instruments for screening and identifying contaminants. Specific enzymes are used as the biological sensing element in an enzyme-based biosensor, which is combined with a transducer to transform the signal from the enzymatic reaction into a quantifiable response proportionate to the analyte concentration. Enzymatic biosensors need to possess high specificity, selectivity, reproducibility, stability, a low limit of detection, a low limit of quantification, and a rapid response time. They have a diverse array of uses, such as soil quality monitoring, water monitoring, food quality monitoring, pathogen detection, drug discovery, disease identification, and environmental research.

Fast production of highly sensitive nanotextured nonwovens for detection of volatile amines, bacterial growth, and pH monitoring: New tools for real-time food quality monitoring

An efficient manufacturing of colorimetric nonwoven indicators represents a promising alternative to enable applications of such materials in food quality monitoring. The objective of this study is to use the solution blow spinning technique (SBS) to rapidly produce colorimetric nonwoven indicators based on polycaprolactone, incorporating natural or synthetic pH indicators to detect volatile amines, bacterial growth and monitor pH. Produced via the SBS method, these indicators were characterized aiming their physical, mechanical, thermal, and spectroscopic properties, evaluating their efficacy in detecting amines, monitoring bacterial growth, and pH, as well as assessing color stability during storage. The thermal stability and mechanical properties of the nonwovens practically always increased with the incorporation of natural and synthetic indicators. When exposed to volatile amines, the nonwoven indicators, particularly those embedded with bromophenol blue, displayed remarkable color change abilities in the presence of five volatile amines. These smart nonwovens in direct contact with E. coli K-12 or its volatiles in 24 h changed their color perceptible to the naked eye. The nanofiber nonwovens displayed visible color changes (ΔE ≥ 3) in response to buffer solutions (pH between 3 and 10). The smart nonwovens rapidly produced by the solution blow spinning method prove to be a promising tool for real-time monitoring of food freshness.

Double-walled encapsulation of curcumin in starch and cellulose, its characterization and application as a sensing material to monitor food quality

The curcumin was encapsulated within a double-layered complex shell of nano-sized cellulose as the primary layer and the native starch (MDC) or the nano-sized starch (NDC) as the secondary layer to improve its stability, decreasing its release rate, while masking bitterness. The double-walled curcumin capsules were studied for encapsulation efficiency, colour behaviour at different pH and characterization using FTIR, DSC & FESEM. The encapsulation efficiency for NDC and MDC was 97.11 % & 90.46 %. The FTIR showed a shift of peaks to higher wavelength particularly at 1043 cm −1 and most of the curcumin peaks disappeared or had low intensity as enclosed within the layers of the capsules. Further, fish fillets were coated in starch paste containing 20 % double-walled curcumin capsules and the visible colour change was observed during a 7-day storage period at refrigerated conditions that could confirm the spoilage of fish to consumers without opening the package.

Hyperspectral Imaging Aiding Artificial Intelligence: A Reliable Approach for Food Qualification and Safety

Hyperspectral imaging (HSI) is one of the non-destructive quality assessment methods providing both spatial and spectral information. HSI in food quality and safety can detect the presence of contaminants, adulterants, and quality attributes, such as moisture, ripeness, and microbial spoilage, in a non-destructive manner by analyzing spectral signatures of food components in a wide range of wavelengths with speed and accuracy. However, analyzing HSI data can be quite complicated and time consuming, in addition to needing some special expertise. Artificial intelligence (AI) has shown immense promise in HSI for the assessment of food quality because it is so powerful at coping with irrelevant information, extracting key features, and building calibration models. This review has shown various machine learning (ML) approaches applied to HSI for quality and safety control of foods. It covers the basic concepts of HSI, advanced preprocessing methods, and strategies for wavelength selection and machine learning methods. The application of HSI to AI increases the speed with which food safety and quality can be inspected. This happens through automation in contaminant detection, classification, and prediction of food quality attributes. So, it can enable decisions in real-time by reducing human error at food inspection. This paper outlines their benefits, challenges, and potential improvements while again assessing the validity and practical usability of HSI technologies in developing reliable calibration models for food quality and safety monitoring. The review concludes that HSI integrated with state-of-the-art AI techniques has good potential to significantly improve the assessment of food quality and safety, and that various ML algorithms have their strengths, and contexts in which they are best applied.

FreshSense: Transforming Supply Chains with Low-Cost and Dynamic Food Quality Sensing at the Pallet-Level

Food wastage is a pervasive issue that affects millions of people worldwide. Approximately 40% of produced food goes to waste after harvest[1], while 10% of the world's population goes to bed hungry each night[2]. The food industry is also known to have some of the highest emissions, and the environmental impact from produce that gets wasted post-harvest is a significant overhead to the industry's carbon footprint. On these accounts, there is an imminent need to detect and reduce food loss. In an effort to reduce such loss, in this work, we ask the question: Can we use wireless technology to track the change in food quality and nutrition, post-harvest, as it travels through the global supply chain? Current methods for monitoring food quality are sparse and prone to manual error. Literature shows that moisture content in produce is a good proxy for quality and nutritionnutrition[3,12]. However, the inability to accurately and efficiently track moisture content at scale leads to substantial loss. To address this challenge, we propose FreshSense, a novel wireless sensing system that enables real-time, non-invasive monitoring of moisture content in produce as it moves through the supply chain.

Bacterial Binding to Polydopamine-Coated Magnetic Nanoparticles.

In medical infections such as blood sepsis and in food quality control, fast and accurate bacteria analysis is required. Using magnetic nanoparticles (MNPs) for bacterial capture and concentration is very promising for rapid analysis. When MNPs are functionalized with the proper surface chemistry, they have the ability to bind to bacteria and aid in the removal and concentration of bacteria from a sample for further analysis. This study introduces a novel approach for bacterial concentration using polydopamine (pDA), a highly adhesive polymer often purported to create antibacterial and antibiofouling coatings on medical devices. Although pDA has been generally studied for its ability to coat surfaces and reduce biofilm growth, we have found that when coated on magnetic nanoclusters (MNCs), more specifically iron oxide nanoclusters, it effectively binds to and can remove from suspension some types of bacteria. This study investigated the binding of pDA-coated MNCs (pDA-MNCs) to various Gram-negative and Gram-positive bacteria, including Staphylococcus aureus, Staphylococcus epidermidis, Pseudomonas aeruginosa, and several E. coli strains. MNCs were successfully coated with pDA, and these functionalized MNCs bound a wide variety of bacterial strains. The efficiency of removing bacteria from a suspension can range from 0.99 for S. aureus to 0.01 for an E. coli strain. Such strong capture and differential capture have important applications in collecting bacteria from dilute samples found in medical diagnostics, food and water quality monitoring, and other industries.

Smartphone-based electrochemical sensing of propyl gallate in food samples by employing NiFe-Oxide decorated flexible laser-induced graphene electrode

Flexible graphene electronics utilizing laser-induced graphene (LIG) technology offer an efficient, cost-effective, and mask-free approach to produce graphene in a single step. LIG can be directly patterned on polyimide films, impacting their surface properties, chemical composition, and electrical conductivity. However, the electrochemical performance of standalone LIG is limited. To address this, the study enhances LIG by synthesizing nickel-iron Prussian blue analogues through co-precipitation and calcination, forming porous NiFe-Oxide, which is subsequently deposited onto the LIG surface via a facile physical deposition method. The porous NiFe-Oxide@LIG electrode material demonstrates excellent electrochemical sensing capabilities due to its high conductivity, improved surface area, enhanced active sites, and superior electrocatalytic performance for detecting the antioxidant propyl gallate (PG). This porous NiFe-Oxide@LIG electrode material features a linear detection range (0.5–5 μM), low detection limit (0.01 μM), high sensitivity (17.12 μAμM−1cm−2), and strong selectivity for PG. Additionally, it offers high reproducibility and repeatability, evidenced by the low relative standard deviation values of 2.61 % and 1.96 %, respectively. The practicality of the proposed sensor was validated using food samples, integrated into a smartphone-based sensing device, achieving satisfactory recovery rates above 79.2 %. This smartphone-based sensor enables effective onsite food quality and safety monitoring.

Intelligent color changing packaging film based on esterified starch and black rice anthocyanins

Intelligent packaging film has received more and more attention because it can help consumers obtain more intuitive information about the packaging, provide better preservation and advanced convenience. In this study, black rice anthocyanin (BRA) was added into composite film formed by starch (S) and esterified starch (ES). As the BRA content increased, the thickness and the total color difference of the S/ES-BRA film increased. The opacity of S/ES-BRA film decreased relative to that of the film without BRA, but increased with the increase of anthocyanin. Compared with S/ES film, the elongation at break of S/ES-BRA0.5 film increased from 33.1 % to 45.4 %, and the tensile strength decreased from 7.3 to 5.8 MPa. S/ES-BRA film had response to different pH values and underwent color changes in different buffer solutions. Intelligent color changing packaging film will used to monitor food quality, water quality and soil properties.

Exploring the Potential of Pectin as a Source of Biopolymers for Active and Intelligent Packaging: A Review

The use of fossil-based plastics in food packaging poses a serious environmental concern. Pectin, a natural biodegradable polymer, offers a potential solution for environmentally friendly and sustainable food packaging to replace fossil-based plastics. This article reviews the applications of pectin in active and intelligent packaging and analyzes the latest research trends. Bibliometric analysis was used to review the existing literature on pectin in food packaging. Data were collected from the Scopus database, which covers research on film manufacturing and pectin-based coating. Pectin-based active packaging contains antimicrobial and antioxidant compounds such as ascorbic acid and essential oils, which effectively prevent bacterial growth while absorbing oxygen and water vapor. In contrast, pectin-based intelligent packaging allows real-time monitoring of food quality through integrated color-changing indicators, eliminating the need for open packaging. Research trends have shown a significant increase in publications on pectin-based packaging, reflecting the growing interest in sustainable packaging solutions. With a focus on innovation and sustainability, pectin can replace conventional plastics and provide safer and more durable packaging solutions, thereby supporting global efforts to reduce the environmental impact of plastic waste.

Cutting-Edge Hydrogel Technologies in Tissue Engineering and Biosensing: An Updated Review.

Hydrogels, known for their unique ability to retain large amounts of water, have emerged as pivotal materials in both tissue engineering and biosensing applications. This review provides an updated and comprehensive examination of cutting-edge hydrogel technologies and their multifaceted roles in these fields. Initially, the chemical composition and intrinsic properties of both natural and synthetic hydrogels are discussed, highlighting their biocompatibility and biodegradability. The manuscript then probes into innovative scaffold designs and fabrication techniques such as 3D printing, electrospinning, and self-assembly methods, emphasizing their applications in regenerating bone, cartilage, skin, and neural tissues. In the realm of biosensing, hydrogels' responsive nature is explored through their integration into optical, electrochemical, and piezoelectric sensors. These sensors are instrumental in medical diagnostics for glucose monitoring, pathogen detection, and biomarker identification, as well as in environmental and industrial applications like pollution and food quality monitoring. Furthermore, the review explores cross-disciplinary innovations, including the use of hydrogels in wearable devices, and hybrid systems, and their potential in personalized medicine. By addressing current challenges and future directions, this review aims to underscore the transformative impact of hydrogel technologies in advancing healthcare and industrial practices, thereby providing a vital resource for researchers and practitioners in the field.

Rational Design of Triboelectric Materials and Devices for Self‐Powered Food Sensing

AbstractAgainst the backdrop of rapid advancements in 5G and Internet of Things (IoT) technologies, there is an urgent need to upgrade food sensing systems to achieve automation, digitalization, and intelligence. However, this transformation process faces numerous challenges. Triboelectric nanogenerators (TENGs), as an emerging energy conversion and sensing technology, play a crucial role in this context. They not only provide power to functional devices but also serve as sensors in multifunctional self‐powered food sensing systems, capable of detecting various physical and chemical information. This review explores the development of TENGs in the field of food sensing, focusing on the working principles of their self‐powered sensing. The review also systematically organizes and classifies the material and device designs used for TENGs in various food applications. Based on the performance of TENGs, a detailed introduction is provided on the specific applications of self‐powered food sterilization, self‐powered food quality monitoring, and self‐powered taste sensing in the field of food safety. Finally, this paper discusses the challenges and corresponding strategies of TENGs in the food sensing field. The aim is to further promote unmanned and smart services and management in the food sector and to provide new research perspectives.

SOCIO-ECONOMIC REQUIREMENTS AND PRINCIPLES OF ENSURING FOOD SECURITY IN UKRAINE

Ensuring the country's food security is a complex and responsible task, the solution of which is determined by a combination of many factors and factors. Socio-economic factors that determine the level of physical and economic availability of food for the country's population are decisive among these factors. The article examines the main socio-economic factors that influence the sufficiency and availability of food for the population of Ukraine. Among the most important of them, the value of the minimum food basket of Ukrainians, food prices, incomes and expenses of the population, and price trends in the food market were analyzed. A quantitative assessment of rates of the ratio of the cost of a food set and the average wage in Ukraine, which determines the economic availability of food for the population, was carried out. The structure of household expenses is analyzed. The obtained research results showed threatening trends in the growth of the share of population expenditure on food in the structure of spending to the maximum critical value. The price trends for food products and their changes in recent years have been studied. The income level of the population of Ukraine, the actual wages, and their combined effect on the availability and state of food supply are analyzed. An analytical assessment of the current state and dynamics of the level of food self-sufficiency of the population of Ukraine by its main types was carried out. Specific threatening trends have been identified regarding the sufficiency of domestic production of certain food products for food security (fruits, berries, and grapes are characterized. A set of fundamental principles are substantiated, which, according to the authors, become a priority in ensuring the strategic food security of Ukraine based on sustainable development. Priority among them are highlighted: priorities of food quality, safety, and environmental friendliness, formation of sustainable food security networks based on the creation of inclusive agro-food markets, increasing the level of social responsibility of food producers and food consumers, strategic priorities of environmental friendliness, conservation of natural and biological resources and minimization of climate change. Certain aspects of the quality and safety of agricultural production and food products were investigated in the context of the prohibited principles. The organizational principles of food quality and safety monitoring processes in the Ukrainian agro-food sector have been studied.

H2S gas sensing based on CuNi MOFs derivative with TiO2 quantum dot decoration applied for meat freshness detection

As food safety issues have been widely revealed and exposed, the pursuit of food for people has shifted from food and clothing to fresh and healthy. Currently, there are many detection systems for detecting meat freshness on the market. However, most of the problems still exist are that they cannot be monitored in real time, cannot guarantee traceless monitoring, and the cost is high. To solve these problems, this work has built a portable meat freshness detection system based on copper oxide (CuO)/nickel oxide (NiO) doped titanium oxide (TiO2) quantum dot composites and added real-time monitoring and remote monitoring and finally packaged it into an intelligent food box. Real-time monitoring of the freshness of meat can be carried out in a specific range regardless of the space. Hydrogen sulfide (H2S) has always been an essential indicator of meat decay. Therefore, in this paper, an H2S gas sensor based on CuO/NiO doped TiO2 quantum dot composites material is designed and fabricated, which can effectively and quickly identify H2S. The gas sensor exhibits excellent gas sensing characteristics for H2S with a detection limit of 100 parts per billion (ppb) and has excellent selectivity and repeatability, which because of the presence of p-p type heterojunctions in CuO/NiO. In addition, the feasibility of the system and material for analyzing the meat deterioration process is demonstrated through the test of different meat samples. It is firmly believed that this new type of sensor mentioned in this paper can make contribution to food quality monitoring.

Electrospinning-based sensing technologies: Opportunities for food applications.

The article explores the science and practice of electrospinning, tracing its history and examining the factors that influence fiber morphology, including the solution composition, processing conditions, and environmental conditions. It offers a thorough examination of electrospinning fundamentals geared toward generating an appropriate platform for creating tailored nanofibers for sensing applications in the food industry. These nanofibers play a critical role in food analysis, sensing, and traceability, and we highlight their effectiveness in identifying pesticide residues, food components, antibiotics, heavy metals, and foodborne pathogens as well as in monitoring the freshness and spoilage of food. The use of electrospinning technology is poised to make sensing platforms more accessible, affordable, and widespread, thereby significantly contributing to the improvement of food quality and safety monitoring practices.

A modular, isolated high-voltage switch for application in ion mobility spectrometry

Ion mobility spectrometry is an emerging technology in trace gas analysis that has moved from typical safety and security applications to many other fields ranging from environmental and food quality monitoring to medicine and life sciences. Nevertheless, further dissemination, including the development of new instruments and the expansion into new fields of application requires the availability of the fundamental components of ion mobility spectrometers. For example, the electronics is essential for the analytical performance, but is only provided by specialized manufacturers due to specific requirements. In this paper, we present a modular, isolated high-voltage switch that can be operated at an isolated potential. The modular design enables tailoring its configuration to the required application. Each module can switch a voltage of up to 3 kV, and can be operated with an offset voltage of up to 7 kV. The switch has rise and fall times of less than 25 ns, making it suitable for a wide range of applications, e.g., in ion mobility spectrometry. Finally, the presented modular, isolated high-voltage switch was used in a push–pull configuration to generate the injection pulse of the ion gate. The new modular, isolated high-voltage switch shows similar performance compared to a commercially available high-voltage switch.

Fraud-proof methylcellulose-based fish freshness indicator: Reversibility in halochromic sensing of basic volatiles is tailored by ionic strength

Food from animal sources (e.g., fish) represents the food group most likely to disseminate diseases to humans. To prevent food contamination and foodborne illnesses, intelligent packaging has been developed to monitor fish freshness by real-time tracking their physicochemical attributes and informing consumers about their conservation state. In this context, we investigated the influence of ionic strength (IS) provided by CaCl2 on the chromatic response of anthocyanin açai extracts incorporated into methylcellulose (MC) within hydrocolloid-based colorimetric sensors for monitoring the freshness of Lambari fish. The color sensitivity of the sensors was modulated by IS in the presence of NH3 volatile and/or TVB-N. Increasing IS led to a plasticizing effect in the MC matrix, which influenced the chromatic properties of anthocyanin in the presence of NH3 and/or TVB-N. The perception of distinct colors by untrained eyes improved from 10 min with the control sensor to 2.5 min for sensors with IS >50 mM. Adjusting the IS to 500 mM with LiCl, CaCl2, or MgCl2 resulted in gray-green, blue, or moss-green colors, respectively, diverging from the control sensor's color (pink and gray) after 10 min of ammonia exposure, confirming salt-induced copigmentation. Color irreversibility in the sensors was achieved when the IS exceeded 250 mM. Through principal component analysis, we statistically validate the efficacy of the sensor in assessing the freshness of Lambari fish. The sensor maintained its color-change capability even after 60 d of storage and was able to classify Lambari fish freshness according to Brazilian and European standards. This study elucidates the interrelation between the structures and properties of natural compounds such as MC, anthocyanin, and CaCl2, providing a method to control the chromatic properties of sensors intended to monitor food quality, safety, and shelf-life.

Intelligent packaging films based on two-dimensional nanomaterials for food safety and quality monitoring: Future insights and roadblocks

Intelligent packaging films based on two-dimensional nanomaterials for food safety and quality monitoring: Future insights and roadblocks

Efficient and sustainable production of intelligent nonwovens as indicators of food spoilage through solution blow spinning of proteins and natural pigments from agri-food waste

The efficient manufacturing of food spoilage indicators based on intelligent nonwovens represents a promising alternative to enable the application of these materials in food quality monitoring. The objective of this study was to rapidly produce intelligent nanofiber nonwovens made of zein/gelatin (Z/G) functionalized with various concentrations (5–15% w/w on the matrix) of anthocyanin-rich food-residue extracts from purple cabbage (CAE) or purple sweet potato (PAE) using the solution-blow-spinning (SBS) technique for use in food-quality-monitoring applications. The addition of CAE or PAE to the Z/G matrix reduced the viscosity of the solution and (consequently) the nanofiber diameters from 999 nm to 882 and 583 nm, respectively. Such incorporation also improved the mechanical, thermal, and water-related properties of the nanofibers and endowed them with antioxidant capacities. Nonwovens composed of Z/G nanofibers with added CAE or PAE, especially at concentrations of 15%, exhibited visible color changes (ΔE ≥ 3) that rapidly altered in response to pH (3–10) and when exposed to ammonia vapor. The nonwovens were successfully used to monitor the deterioration of pasteurized milk and fish fillets. They reveal a visual color change from pink at 0 h to a more intense pink at 48 h in response to milk deterioration and a color change from pink at 0 h to light brown after 48 h when the fish fillets were considered deteriorated. The use of these nanofiber nonwovens to monitor changes in food quality highlights the significant potential of the SBS technique and the use of anthocyanins from agri-food waste to produce new intelligent packaging materials for use in food applications.

Ultra-fast detection of pathogens and protein biomarkers using a low-cost silicon plasmonic biosensing platform

In this paper, we report, for the first time to our knowledge, a new versatile and future proof diagnostic platform for diverse applications and heterogeneous biological targets. This platform relies on a plasmonic-augmented silicon photonic biochip to detect bacteria and protein biomarkers within minutes. To demonstrate the potential of this platform in diverse applications, we demonstrate the detection of two heterogeneous targets, the bacterium Escherichia coli (E. coli) and the molecule C-reactive protein (CRP) using a universal detection method. E. coli is one of the most commonly encountered bacterial pathogens involved in food monitoring, food born infections and water contamination applications, while CRP is a well-established disease severity indicator frequently used in common clinical practice. The biochip used is fully compatible with CMOS semiconductor manufacturing, while it hosts biosensors arrays for any combination of detection assays. Each biosensor exploits a 70 μm long aluminum plasmonic transducer within a silicon nitride waveguide-based Mach–Zehnder Interferometer. Each aluminum surface was silanized and biomodified with specific antibodies. Biosensing experiments revealed that CRP can be detected in diverse sample mediums, and E. coli detection was achieved in buffer at concentrations as low as 10 cells/ml within 13–25 min. The results are in good agreement with preceding numerical simulations. The modular nature of the reported biosensing platform makes it scalable and customizable, allowing nearly any combination of diagnostic tests targeting pathogens and proteins to be integrated on the same biochip for food quality monitoring, environmental monitoring, drug discovery and modern cell therapy manufacturing, or biomedical applications.

Advancing Cholesterol Detection: A Simulation Study on SrTiO3-Based BioFET Biosensors

This study presents an analytical model of a strontium titanate (SrTiO3)-based biological field-effect transistor (BioFET) for cholesterol detection. Known for its high dielectric permittivity, surface charge regulation, and superior ionic and thermal conductivity, SrTiO3 enhances the functionality of biosensors. The BioFET employs a gate functionalized with a cholesterol-specific enzyme, which facilitates potentiometric measurements of cholesterol concentrations. The model establishes a quantitative relationship between cholesterol concentration and gate voltage in enzyme-immobilized SrTiO3, demonstrating the high selectivity of SrTiO3-based BioFETs for cholesterol detection. This indicates their potential in developing diagnostic tools for cholesterol-related conditions and monitoring food quality. Additionally, the analytical model effectively predicts the behavior of the detection mechanism in electrochemical BioFET biosensors, underscoring its innovative application in fields such as microelectronics, sensors, and catalysis.