Food Quality Monitoring Research Articles

Portable sensing methods based on carbon dots for food analysis.

Food analysis is significantly important in monitoring food quality and safety for human health. Traditional methods for food detection mainly rely on benchtop instruments and require a certain amount of analysis time, which promotes the development of portable sensors. Portable sensing methods own many advantages over traditional techniques such as flexibility and accessibility in diverse environments, real-time monitoring, cost-effectiveness, and rapid deployment. This review focuses on the portable approaches based on carbon dots (CDs) for food analysis. CDs are zero-dimensional carbon-based material with a size of less than 10nm. In the manner of sensing, CDs exhibit rich functional groups, low biotoxicity, good biocompatibility, and excellent optical properties. Furthermore, there are many methods for the synthesis of CDs using various precursor materials. The incorporation of CDs into food science and engineering for enhancing food safety control and risk assessment shows promising prospects.

Development of halochromic labels based on binary systems of cationic guar gum and κ-carrageenan loaded with alizarin red S for monitoring milk and seafood freshness

Monitoring of food quality, in particular, high-protein food quality, is an important component in ensuring food safety and human health. In this research, a feasible and easy solution casting and solvent evaporation strategy was adapted to fabricate alizarin red S (ARS)-loaded halochromic cationic guar gum (CGG) and κ-carrageenan (CAR) blend packaging labels to improve its good physical strength, multifunctional acid–base responsive characteristics, and water barrier properties. The findings indicated that incorporating CAR at 40% polymer solid mass achieved higher tensile strength (21.0 ± 1.77 MPa), water resistance (29.92 ± 6.61% solubility), and thermal stability, which can be attributed to good compatibility between CGG and CAR. The results obtained from FT-IR, XRD, and SEM analyses demonstrate that the incorporation of ARS exhibits non-covalent bonding with the polymer blend matrix through electrostatic interactions and hydrogen bonding, thus reducing its crystallinity and restructuring the CGG-CAR matrix disorderly. The prepared indicating label films presented visual recognition of ammonia and trimethylamine (TMA-N) at 0.008 mM in 6 min (the total color difference (ΔE) for TMA-N is＞11.89), and can be reused at least six times. Moreover, the color of ARS at different pH values remains persistent for at least 180 days. The practical applications show that the films, as indicator labels, can realize real-time, accurate, and visual dynamic monitoring of seafood (shrimp) and milk by engendering three chromatic stages discernible by the naked eye (fresh, spoiling, and spoiled). The ΔE for monitoring sub-fresh milk and shrimp reached as high as 14.91 and 13.32, respectively.

Halochromic Polyaniline as smart detector packaging for fresh food: a review

Abstract Early spoilage is a challenge that is often encountered in fresh food. One prevention that can be done is by using packaging technology. There has been an increasing interest in using smart detector packaging for fresh products. Smart detector has high sensitivity and is responsive to visual changes when exposed to pH, temperature, water activity, or composition. The advantage of using a smart detector is that it can detect and give information on which products are safe to consume and which are not. Overall, the concept of a smart detector is not much different from the function of smart packaging. Smart packaging that is sensitive to pH is called halochromic properties. The mechanism of halochromic depends on the compound or the indicator used. Polyaniline (PANI) is one of the candidates for halochromic materials, which have high stability and sensitivity to pH changes. PANI also has a high sensitivity to volatile compounds such as ammonia, indicated by a change in colour from green to blue. This review will overview the use of PANI as a smart detector halochromic packaging and its potential application in the food industry. It has been found that the application of PANI has opportunities to advance the development of modern smart packaging and better food quality monitoring systems.

Highly sensitive and flexible ammonia sensor based on PEDOT:PSS doped with Lewis acid for wireless food monitoring

Ammonia serves as a crucial indicator of food spoilage, but current sensors lack sufficient sensitivity, stability, selectivity, and automation for practical on-site and real-time monitoring. A highly sensitive and flexible ammonia sensor based on PEDOT:PSS doped with Lewis acid (FeCl3 solution) for wireless food monitoring is proposed in this study to solve the above limitations. The intercalation effect caused by the diffusion of Fe3+ and hydrolyzed H+ in the film coordinating with SO3− groups present in PSS chains leads to an increased distance between adjacent PEDOT-rich domains. It enhances ammonia sensitivity by providing additional ionic carriers and carrier transport paths within the PEDOT:PSS molecule. The results demonstrated a significant enhancement in the sensitivity of PEDOT:PSS sensor doped with FeCl3, exhibiting a response value of about 25 % at 25 ℃ for 1 ppm NH3, with an impressive detection limit of 0.23 ppm and quantification limit of 0.78 ppm (1–400 ppm). Moreover, it showcases acceptable repeatability both at 1 ppm (RSD = 4.30 %) and 100 ppm ammonia (RSD = 3.61 %), along with the notable selectivity and long-term stability. XPS, Raman analysis, and the density function theory (DFT) calculations further elucidated the sensing mechanism of the sensor towards ammonia. Additionally, a portable wireless detection device was designed, which was equipped with the Bluetooth communication and the micro-controller system to detect the decay process of fresh shrimp, realizing wirelessly real-time monitoring of food freshness through a smart phone. It’s worth noting that the innovative sensing technology holds great promise for food quality monitoring.

Blockchain Empowered: Revolutionizing Agro-Based Supply Chain Management

Agriculture, the mainstay of rural India, provides livelihoods to 70% of the rural populace. However, it is beleaguered by supply chain inefficiencies, leading to losses of up to 5.99% in cereals and a whopping 60% yield loss for farmers. The prevailing supply chains are often shrouded in obscurity, with a scant 6% of businesses having complete visibility. This lack of transparency culminates in inefficient processes and potential delays in order fulfilment, engendering customer dissatisfaction and financial losses. The emergence of blockchain technology, however, offers a beacon of hope. Blockchain provides a transparent platform where all stakeholders can access and verify the movement of goods. This transparency not only bolsters customer trust but also enhances their satisfaction levels. Moreover, blockchain technology optimises inventory management and logistics, thereby reducing waste and boosting productivity. These enhancements translate into substantial cost savings. The advent of blockchain could revolutionise agricultural supply chains in India. By providing a transparent and efficient system for tracking the movement of goods, blockchain could eliminate many of the current inefficiencies. This would not only lead to increased profits for farmers but also ensure that consumers have access to fresh and high-quality produce. Furthermore, the use of blockchain could also promote sustainable farming practices by making it easier to track and verify the use of environmentally friendly methods. In conclusion, blockchain technology has the potential to transform the agricultural sector in India, making it more efficient, transparent, and sustainable. Keywords— Blockchain, Agriculture Supply chain management, Agriculture-based industries, Traceability, Smart contracts, Food quality monitoring, Sustainability.

Scalable Optical Nose Realized with a Chemiresistively Modulated Light-Emitter Array.

Biological olfaction relies on a large number of receptors that function as sensors to detect gaseous molecules. It is challenging to realize artificial olfactory systems that contain similarly large numbers of sensory materials. It is shown that combinatorial materials processing with vapor deposition can be used to fabricate large arrays of distinct chemiresistive sensing materials. By combining these with light-emitting diodes, an array of chemiresistively-modulated light-emitting diodes, or ChemLEDs, that permit a simultaneous optical read-out in response to an analyte is obtained. The optical nose uses a common voltage source and ground for all sensing elements and thus eliminates the need for complex wiring of individual sensors. This optical nose contains one hundred ChemLEDs and generates unique light patterns in response to gases and their mixtures. Optical pattern recognition methods enable the quantitative prediction of the corresponding concentrations and compositions, thereby paving the way for massively parallel artificial olfactory systems. ChemLEDs open the possibility to explore demanding gas sensing applications, including in environmental, food quality monitoring, and potentially diagnostic settings.

Phosphorylation-amplified synchronized droplet microfluidics sensitizes bacterial growth kinetic real-time monitoring

The necessity for rapid and accurate bacterial growth monitoring is imperative across various domains, including healthcare and environmental safety. We introduce the self-synchronized droplet-amplified electrical screening cytometry (SYNC) system, a novel meld of droplet microfluidics and electrochemical amplification tailored for precise bacterial growth kinetic monitoring. SYNC encapsulates single bacteria in picolitre droplets, enabling real-time, fluorescence-free electrochemical monitoring. A specially devised phosphorylation-amplified culture medium translates bacterial metabolic activity into discernible electrical impedance changes. The dual-channel design and a rail-based structure in SYNC facilitate parallel screening and self-synchronization of droplets, addressing the limitations of conventional impedance cytometry. SYNC showcases a 5-fold enhancement in detection sensitivity and reduces 50% of the detection time compared to traditional approaches. Notably, SYNC is pioneering in providing exact initial bacterial concentrations, achieve to 104 bacteria/ml, a capability unmatched by existing real-time techniques measuring electrochemical variations. Along with its robust performance, this earmarks SYNC as a powerful tool for applications such as antibiotic susceptibility testing, food quality monitoring, and real-time water bacteria monitoring, paving the way for enhanced microbial process management and infection control.

Rapid Concentration and Detection of Bacteria in Milk Using a Microfluidic Surface Acoustic Wave Activated Nanosieve.

Rapid detection of microbes is a key feature for monitoring food quality. Unfortunately, current detection systems rely on labor-intensive and time-consuming lab-based processes that are not suitable for point-of-interest applications and typically require several days before results are available. Here, we demonstrate a microfluidic system capable of rapidly concentrating, fluorescent staining, and detecting bacteria in unprocessed complex biological media such as milk. This concentration is done using a surface acoustic wave-driven microfluidic device which operates based on the Bjerknes force, a force generated on one particle by another in its close proximity. We exploit this effect by exciting a tightly packed bed of 50 μm polystyrene microparticles temporarily with surface acoustic waves within a microfluidic device to capture and release bacterial cells on demand. The bacterial cells are fluorescently stained during capture and then detected using fluorescence microscopy upon release. This device offers a high capturing efficiency (>80%) and a 34 Colony Forming Units (CFU)/mL limit of detection, which is 1 order of magnitude below that of plate counting at 30 CFU per standard 100 μL plate (or 300 CFU/mL). This can be attained in just 1 h of processing at 10 μL/min. With this system, we demonstrate that bacterial detection from extremely low concentration samples down to the order of ∼10 CFU/mL is possible without requiring any additional external pre- or postprocessing.

A novel electrochemical sensor for the detection of metronidazole residues in food samples

The widespread use and misuse of antibiotics in pharmaceuticals and animal farming has resulted in their accumulation in food sources and the environment, posing significant threats to human health, the environment, and the global economy. In this study, we have developed a hypersensitive, and ultra-selective electrochemical sensor, the first of its kind, by integrating a thermally annealed gold-silver alloy nanoporous matrix (TA-Au-Ag-ANpM) with reduced graphene oxide (r-GO) and poly(glycine) at the surface of a glassy carbon electrode (GCE). This sensor aims to detect life-threatening metronidazole (MTZ) residues in food samples. TA-Au-Ag-ANpM/r-GO/poly(glycine)/GCE was thoroughly characterized using a range of analytical techniques, including UV–Vis, FT-IR, XRD, SEM, and EDX. Furthermore, its electrochemical properties were investigated by cyclic voltammetry (CV), square wave voltammetry (SWV), and electrochemical impedance spectroscopy (EIS). The sensor exhibited outstanding performance, with a broad linear range of 2.0 pM–410 μM. The limits of detection (LOD) and quantification (LOQ) were determined to be 0.0312 pM and 0.104 pM, respectively. The TA-Au-Ag-ANpM/r-GO/poly(glycine)/GCE exhibited exceptional reproducibility, repeatability, stability, and resistance to interferences. Moreover, the sensor demonstrated outstanding performance in detecting MTZ residues in milk powder, pork, and chicken meat samples, achieving very good recoveries (96.9%–101.4%) with a relative standard deviation (RSD) below 5%. This performance highlights the potential for practical applications in food safety and quality monitoring. Therefore, the developed sensor contributes to the advancement of electrochemical sensing technology and its application in ensuring food safety and integrity by combating antibiotic residues.

Novel colorimetric indicators based on alginate hydrogel beads containing anthocyanin for visual freshness monitoring of shrimp and minced chicken

Novel colorimetric indicators were developed by incorporating anthocyanins into alginate hydrogel beads through electrostatic extrusion for intelligent packaging. Two different sizes of hydrogel beads were produced and applied into shrimp and minced chicken packaging to visually detect freshness status during 4 °C storage. To assess the freshness of the products, the viable count of various types of bacteria (psychrotrophic, H2S-producing, mesophilic, and Pseudomonas spp.), total volatile basic nitrogen (TVB-N) content, pH, K-value, H-value, and biogenic amines level were analyzed. The indicators' color change (ΔE) was then correlated with these parameters. Color analysis of the indicators during storage indicated ΔE values below 10 and over 30 in the hydrogels incorporated into minced chicken and shrimp packaging, respectively. The color change of both indicators integrated into the shrimp package was strongly correlated with the change in viable counts, TVB-N, pH, K-value, and H-value (r ≥ 0.8, p < 0.016), as well as biogenic amines (r = 0.7, p < 0.05). The indicators applied to minced chicken packaging showed subtle color changes during storage, while those in shrimp packaging consistently reflected shelf-life variations. This innovative approach shows potential for improving food safety and quality monitoring, particularly in seafood packaging, where indicators have been effective in visually signaling product freshness.

Food Quality Monitoring for Vegetables and Fruits through IoT using Methane Gas Sensor, DHT11

Food Quality Monitoring for Vegetables and Fruits through IoT using Methane Gas Sensor, DHT11

An IoT-Based Smart Electronic Nose System for Non-Destructive Meat Freshness Monitoring

In recent years, food hygiene and safety violations have become a painful problem, especially in developing countries. It is essential to have tools or systems that can both monitor food quality and promptly warn users. Sensor technology as well as wireless communication technology pave the way to build a system that meets the above needs. In this paper, an electronic nose system based on the Internet of Things platform is proposed to monitor the freshness of food without changing the test sample. To evaluate the effectiveness of the proposed system, samples of three types of meat including pork, chicken and fish were collected and processed. In addition, the system also develops an application platform on smartphone devices to notify users about assessment results in real time. The system has been practically built and tested on product samples under many different testing conditions. The results show that the electronic nose system can effectively assess the freshness of meat through appropriate sensor parameters and provide timely warnings to the desired users.

Comprehensive fluorescence profiles of contamination-prone foods applied to the design of microcontact-printed in situ functional oligonucleotide sensors

With both foodborne illness and food spoilage detrimentally impacting human health and the economy, there is growing interest in the development of in situ sensors that offer real-time monitoring of food quality within enclosed food packages. While oligonucleotide-based fluorescent sensors have illustrated significant promise, the development of such on-food sensors requires consideration towards sensing-relevant fluorescence properties of target food products—information that has not yet been reported. To address this need, comprehensive fluorescence profiles for various contamination-prone food products are established in this study across several wavelengths and timepoints. The intensity of these food backgrounds is further contextualized to biomolecule-mediated sensing using overlaid fluorescent oligonucleotide arrays, which offer perspective towards the viability of distinct wavelengths and fluorophores for in situ food monitoring. Results show that biosensing in the Cyanine3 range is optimal for all tested foods, with the Cyanine5 range offering comparable performance with meat products specifically. Moreover, recognizing that mass fabrication of on-food sensors requires rapid and simple deposition of sensing agents onto packaging substrates, RNA-cleaving fluorescent nucleic acid probes are successfully deposited via microcontact printing for the first time. Direct incorporation onto food packaging yields cost-effective sensors with performance comparable to ones produced using conventional deposition strategies.

Recent Progress in Intelligent Packaging for Seafood and Meat Quality Monitoring

AbstractFood waste plays a crucial role in environmental and human health issues. To address these issues, intelligent packaging systems are proposed for the accurate assessment of the quality of food products. Intelligent packaging is a technology that integrates sensing systems with conventional packaging to provide smart sensing communication functions for real‐time food quality monitoring. The most important parts of this technology are generally classified as quantitative sensors (sensors) and qualitative sensors (indicators). Since seafood and meat products can spoil easily if not stored properly, applying intelligent packaging for real‐time monitoring of the safety of these products is beneficial. In this review, the spoiling process and essential performance characteristics are indicators of the quality of these food products are first discussed. Then, The characteristics and importance of various sensors and indicators that can be used for seafood and meat quality monitoring are presented. While discussing these topics, an updated review of recent scientific studies, preconditions, materials, advantages, and limitations are provided. Furthermore, the future need for improvements in intelligent packaging systems for real‐time quality and safety monitoring of food products is discussed. Finally, several important research examples of the challenges and perspectives of intelligent packaging applications for meat and seafood quality monitoring are presented.

Recent advances on pH-responsive polymers integrated with nature colorants: from preparation to applications

This review covers the progress in recent years on pH-responsive polymers integrated with natural colorants. The classification of various natural colorants, including anthocyanin, curcumin, and alizarin, and the pigments’ structural changes at different pH are introduced. Subsequently, the latest research in substrates for immobilizing natural colorants is discussed. Moreover, their applications on wound dressing for bacterial infections monitoring, smart package for food quality monitoring, and textile dyeing, are outlined. Finally, this study was summarized by emphasizing the current challenges and future opportunities in the field of pH-responsive polymers.

Seabream Quality Monitoring Throughout the Supply Chain Using a Portable Multispectral Imaging Device

Monitoring food quality throughout the supply chain in a rapid and cost-effective way allows on-time decision−making, reducing food waste, and increasing sustainability. A portable multispectral imaging sensor was used for the rapid prediction of microbiological quality of fish fillets. Seabream fillets, packaged either in aerobic or vacuum conditions, were collected from both aquaculture and retail stores, while images were also acquired both from the skin and the flesh side of the fish fillets. In parallel to image acquisition, the microbial quality was also estimated for each fish fillet. The data were used for the training of predictive artificial neural network (ANN) models for the estimation of total aerobic counts (TACs). Models were built separately for fish parts (i.e., skin, flesh) and packaging conditions and were validated using two approaches (i.e., validation with data partitioning and external validation using samples from retail stores). The performance of the ANN models for the validation set with data partitioning was similar for the data collected from the flesh (RMSE = 0.402–0.547) and the skin side (RMSE = 0.500–0.533) of the fish fillets. Similar performance also was obtained from validation of the models of the different packaging conditions (i.e., aerobic, vacuum). The prediction capability of the models combining both air and vacuum packaged samples (RMSE = 0.531) was slightly lower compared to the models trained and validated per packaging condition, individually (RMSE = 0.510, 0.516 in air and vacuum, respectively). The models tested with unknown samples (i.e., fish fillets from retail stores-external validation) showed poorer performance (RMSE = 1.061–1.414) compared to the models validated with data partitioning (RMSE = 0.402–0.547). Multispectral imaging sensor appeared to be efficient for the rapid assessment of the microbiological quality of fish fillets for all the different cases evaluated. Hence, these outcomes could be beneficial not only for the industry and food operators but also for the authorities and consumers.

Wireless charging flexible in-situ optical sensing for food monitoring

Food safety is an important public health issue, real-time monitoring and identification of food freshness is essential to ensure food quality and consumer health. This study presents a wireless charging flexible in-situ optical sensing system (FIOS). FIOS integrates visible (VIS)/near-infrared (NIR) spectral sensors, electronic components, and microcontrollers into flexible circuits by flexible electronic technology, and obtains energy through wireless charging to solve the problem of battery replacement and frequent charging of electronic systems. FIOS exhibits excellent flexibility and bendability which can be attached well to the surface of the food for efficient, accurate, non-destructive, and in-situ monitoring. A prediction model between food quality and spectral data was established by chemometrics to achieve accurate prediction of food quality. It can obtain the spectral information of the food in real-time and transmit the data wirelessly to a cloud platform, which enables the visualization of food quality and facilitates quality traceability. FIOS is characterized by simple craft, low cost, and real-time monitoring, and can be widely deployed as an Internet of Things (IoT) node in food transportation, storage, and sales to improve the transparency of food at all stages and ensure the quality and safety of food. The FIOS has the advantages of portable and non-destructive monitoring, which improves the accuracy of food quality monitoring and provides a new technological program in the field of food quality monitoring. It is expected to promote the development of food quality and safety monitoring in the future and provide consumers with a more reliable guarantee of food quality.

A novel dual-channel cassava starch/polyvinyl alcohol-based film for visual monitoring of shrimp freshness

In this study, the polyvinylpyrrolidone-alizarin nanoparticles (PVP-AZ NPs) with favorable water dispersion and the carbon quantum dots (RQDs) with aggregate induced emission effect were synthesized to construct an eco-friendly film for food freshness monitoring. The introduction of PVP-AZ NPs and RQDs enhanced the network structure and thermal stability of the cassava starch/polyvinyl alcohol film, and reduced its crystallinity and light transmittance via non-covalent binding with the film-forming matrix. The developed film exhibited visually recognizable colorimetric and fluorescent responses to ammonia at 0.025–25 mg/mL, and it can be reused at least 6 times. Practical application experiment proved that the film, as an indicator label, can achieve accurate, real-time, and visual dynamic monitoring of the freshness of shrimp stored at 25 °C, 4 °C, and − 20 °C under daylight (orange yellow to purple) and UV light (red to blue). The integration of multivariate detection technology can eliminate the interference of external factors by self-correction to improve sensitivity and reliability, which provides a reference for the development of other food quality and safety monitoring platforms.

In Situ Heterojunction-based PEC Sensor Coupled with LSPR for Sensitive Detection of Aflatoxin B1

To enhance the performance of photoelectrochemical (PEC) sensors, heterojunction construction is a workable technique. However, the interface defects inside the structure are often ignored. In this work, an innovative photoelectrochemical (PEC) sensor based on a “turn-off” PEC model was constructed using the synergistic effects of in situ growing heterojunction and local surface plasmon resonance (LSPR) to detect Aflatoxin B1 (AFB1) instantly. In situ heterojunctions were constructed based on bismuth-based perovskite, and the internal electric field spontaneously established during the growth process can effectively compensate for the interfacial defects and promote the separation and transfer of e−/h+ pairs. Moreover, the gold nanoparticles (Au NPs) LSPR effect can improve PEC performance by enhancing the light trapping ability of the material. The PEC sensor’s detecting area for AFB1 analysis is 10.0 fg/ml-100 ng ml−1, and the detection limit is 4.34 fg ml−1. Good stability, reproducibility, and selectivity underscore the sensor’s suitability for meeting the requirements of food quality monitoring.

Organelle-like water-borne curcumin nanoparticles with smart fluorescence for anti-counterfeiting and food quality monitoring

Current fluorescent labels are often expensive and environmentally unfriendly and tend to lose their fluorescence when combined with dry and hydrophilic substrates because of their hydrophobic nature. Thus, the development of environmentally friendly, low-cost, and scalable fluorescent materials is still highly desirable but significantly challenging, especially for anti-counterfeiting and food quality monitoring. In this study, highly fluorescent nanoparticles were prepared by mimicking organelles and using natural and sustainable curcumin as a fluorescent component. The preparation process was easily scalable via traditional seeded emulsion polymerization methods and green without using additional organic solvents. The resulting curcumin-based fluorescent nanoparticles (CFNs) were well dispersed in water, offering smart fluorescence in water-based environments or a dried polymer coating. In particular, CFNs-based coatings could be used for effective smart anti-counterfeiting and food quality monitoring. The proposed strategies may inspire the design of novel, green, and sustainable smart fluorescent materials/coatings for applications in anti-counterfeiting, smart food tags and labels, and visual sensing systems.