Food Samples Research Articles

Characterization and Prevalence of Antibiotic Resistance Staphylococcus aureus in Street Food: A Public Health Concern

Food samples containing Staphylococcus aureus pose a serious health risk. This study aimed to examine the prevalence of S. aureus strains in various food samples sourced from Mailsi and Multan. Many food samples including yogurt, bakery products, and raw and cooked food were examined for S. aureus. The isolated strains were confirmed through Mannitol agar fermentation, catalase, coagulase, and urease tests. Hemolysis on blood agar and biofilm formation were also assessed to determine toxin production. Antibiotic sensitivity testing was conducted using the Kirby Bauer method on MH agar, and multiple antibiotics were tested. Out of all samples, a total of 50 S. aureus strains were obtained, mainly from milk and milk-based products. Yellow colonies on mannitol salt agar confirmed S. aureus presence, with all isolates testing positive for coagulase, catalase, and urease. The presence of hemolysins: beta, gamma, and alpha were revealed by hemolysis assays. Biofilm assay results showed variation among the strains, with some categorized as strong, moderate, or weak biofilm formers. Regarding antibiotic sensitivity, most strains exhibited multidrug resistance, particularly against certain antibiotics. Vancomycin showed varying susceptibility patterns, some strains showed susceptibility and intermediate resistance, whereas only milk samples showed resistance. This study emphasizes the prevalence of MDR S. aureus strains in food samples. The study underscores the significance of antimicrobial stewardship programs and stringent food safety measures in preventing the spread of antibiotic-resistant strains and reducing foodborne illnesses. Further research is needed to explore the mechanisms behind antibiotic resistance and toxin production in S. aureus strains from food samples.

Analyzing the presence of ten synthetic colors in selected food and drink samples using ultra high-performance liquid chromatography diode array detection analysis

AbstractColoring agents in foods and drinks have been popular for centuries. This study aims to analyze the presence of ten synthetic colors (namely, (allura red (E129), amaranth (E123), sunset yellow (E110), tetrazine (E102), fast green (E143), ponceau 4R (New Coccine) (E124), erythrosin B (E127), brilliant blue FCF (E133), brilliant black (E151) and carmoisine (E122))) in food and drink samples using ultra-high-performance liquid chromatography diode array detection (UHPLC-DAD). The present analytical method was carried out using Agilent Poroshell 120 HPH-C18 column, 3 × 100 mm, 2.7 µm, and a mobile phase consisting of 10 mM Na2HPO4, pH 7, mixed with methanol as a time-increment gradient solution until the time was 20 min, then decreased with time until the time was 26 min. The pH was set by orthophosphoric acid at 7 and 5 μL injection volume, 0.50 mL flow rate, and the elution systems were monitored at 428 nm for E102, 518 nm for E124, E110, E129, E122, 530 nm for E151, E127, 622 nm for E143, and E133, respectively. The limit of detection and quantification for all colors ranged from 0.017 to 0.025 and 0.057 and 0.082 mg L−1, respectively. The correlation coefficient values ranged between 0.9991 and 1.0. The selectivity of the assay revealed no interference from other components in the analyzed samples. The percent recovery and precision (intra- and inter-day) of the spiked samples were within the acceptable limits of the ICH guidelines. Five analytical parameters were employed, and the results showed a new, novel, and robust method according to ICH guidelines for analyzing these colors. While most of the investigated food and drinks fell within the accepted range, some fell outside. The current sample preparation and analytical methods are comprehensive and universal for extracting and measuring synthetic colors in various food and drink samples.

Risk factors associated with street food consumption in Dhaka city due to faeco-oral parasitic infection in food vendors

Ready to eat foods that are sold in streets and busy public places and popular for their affordability, accessibility and distinct flavour and taste are termed as street foods. Due to their low-income levels, the majority of people in developing countries rely on street food for their daily dietary needs. In Bangladesh, many street food vendors target young school-going children by selling attractive food items in front of schools. To understand the implications of street food consumption in Dhaka city, 200 school-based street food samples and 200 corresponding faecal samples from vendors around 50 schools were analyzed using the Formal-ether concentration method from September 2021 to June 2022. 10 parasite species (Entamoeba histolytica, Blastocystis hominis, Cystoisospora belli, Diphyllobothrium latum, Hymenolepis diminuta, Hymenolepis nana, Ascaris lumbricoides, Enterobius vermicularis, Trichuris trichiura, Ancylostoma duodenale) were identified by microscopic observation. From food and the corresponding stool samples, 7 parasite species were found. B. hominis caused the greatest proportion of infections (21.5 %), followed by C. belli (20.5 %), A. lumbricoides (17 %), D. latum (4.5 %), H. nana (3 %), T. trichiura (2.5 %) and E. histolytica (0.5 %). Statistical analysis revealed that city corporation, age, smoking status and use of today’s materials next day (p < 0.05) were associated with parasites present in stool. In the food samples, city corporation, age, use of mask, currently having disease, using today’s materials next day were significantly associated with presence of parasites (p < 0.05). This study is one of the first to correlate the lack of hygienic practices of the food vendors with an increased risk of parasitic infection in the vendors and their street foods resulting the possibility of transmission to the consumers. The study findings indicate the urgent need to ensure food quality.

Investigation of a Norovirus GII.4Sydney[P16] outbreak in a care facility in Portugal, 2022

Abstract Background On the 29th of April 2022 the local Public Health unit was notified of 12 cases of acute gastroenteritis in residents of a long-term care facility (LTCF). A joint epidemiological investigation team was established and initiated an outbreak investigation to characterize the outbreak and implement infection control measures. Methods Epidemiological questionnaires were administered to staff (n = 44) and residents (n = 60). Case definition was LTCF residents or staff members with at least one of the following symptoms: diarrhoea, vomiting, nausea, between April 25th and May 14th, 2022. Stool or vomit samples were collected for 11 individuals. To assess environmental contamination fifteen food samples from previous meals and six surface samples from toilet faucets, wash tubs, and cutting boards were collected. Spatial distribution of cases within the LTCF was performed to guide infection control implementation. Results A total of 43 people met the case definition. Attack rates in residents and staff were 37% (23/63) and 42% (20/48), respectively. Of the total tested specimens, six (6/8) from residents and two (2/3) from staff were positive for the Norovirus (NoV) GII.4 Sydney [P16] variant by genotyping. Two (2/6) samples from surface swabs from the toilet faucet in the resident’s living room were also positive for NoV GII. Food samples were negative for major bacterial agents implicated in gastrointestinal outbreaks. Cases were distributed throughout the LTCF wards with no clear clustering. Four residents required hospital admission. Conclusions Results suggest person-to-person as well as environmental transmission of NoV. Identification of behavioural and spatial patterns of residents and staff and subsequent enactment of infection control strategies mitigated the outbreak. These findings reinforce the need for public health to maintain continuous technical support to LTCF on the implementation of infection control best practices. Key messages • Outbreak investigation in LTCF confirms Norovirus transmission, emphasizing the importance of infection control measures in long-term care facilities. • Study reveals Norovirus outbreak in LTCF, underscores the role of person-to-person and environmental transmission, highlighting the need for robust infection control protocols.

Human-swine interface: is the hepatitis E virus a real risk for humans?

Abstract Background Hepatitis E virus (HEV) is the agent of hepatitis E, an emerging public-health infection with an increasing incidence in Europe. Due to the apparent lack of species barriers, HEV is considered a zoonotic agent, with swine as the main reservoir. This study investigated HEV prevalence in humans and domestic pigs in Northern Italy, a highly anthropic area with the highest pig farm density, to gain insights into the risk of HEV transmission from swine to humans. Methods A total of 508 blood samples were collected from blood donors (341 males and 167 females; from 18 to 66 years old) and from 1619 pigs in 40 different farms. Serological analyses were performed with ELISA to detect anti-HEV antibodies. In addition, 120 faecal pool samples collected from the pig farms with the highest seroprevalence and 69 salami produced in the same area were analysed to detect viral genome by Real-time PCR. Results In humans, HEV seroprevalence was 4.9% (CI95% 0.03-0.07); positive donors were mainly males, with seroprevalence increasing up to 12% (CI95% 0.09-0.15) in the 46-55 age group. Seroprevalence in swine was 53.00% (CI95% 0.50-0.55), with HEV detected in only 1% (CI95% 0.001-0.045) faeces. All food samples tested negative. Conclusions Even if the seroprevalence in pigs highlighted that HEV was actively circulating in the farms, the low seroprevalence in humans, the scarce HEV detection in swine faeces, and the absence in food products suggested that HEV transmission via faecal-oral or foodborne routes is unlikely, probably due to the implementation of severe biosecurity measures and high standards of hygiene in swine farms, and the continuous assessment of the critical points in the pig supply chain (from farm to fork). The serological surveillance of humans and the monitoring of farmed animals are needed to support the competent authorities in timely managing public health issues, improving human health and veterinary safety from a One Health perspective. Key messages • In the human-swine interface is important to monitor HEV presence. • The One Health approach is essential to control zoonotic diseases.

Feta safe than sorry - gastroenteritis outbreak associated with contaminated cheese

Abstract A gastroenteritis outbreak among attendees at a catered HSE event was notified. No faecal samples were obtained - all cases had recovered. An outbreak control team was convened. A retrospective cohort study hypothesised that “people who attended the HSE event and subsequently became unwell did so as a result of consuming food at the event”. Epidemiological, environmental, and microbiological investigations commenced. An outbreak-specific food questionnaire was distributed. The food business was inspected, obtaining food samples. Survey responses were analysed.The attack rate was 25%. Associations were identified between illness and specific foods. Multivariable regression highlighted: feta salad (OR = 36.22 [95% CI 2.24-585.52] p = 0.01), and turkey (OR = 12.57 [95% CI 1.12-140.58] p = 0.04). Most (93%) turkey consumers had consumed feta salad. Microbiology of unopened feta cheese, sourced by the caterer from a supermarket, was positive for E coli at 1.7 x 105. The Food Safety Authority of Ireland corroborated separate illness complaints from a family consuming the product. The supermarket voluntarily withdrew the product internationally.This outbreak prompted a cross-sectoral food safety investigation. Despite no pathogen detection in a faecal samples, epidemiological evidence led to the withdrawal of contaminated feta by the supermarket, removing over 1000 units from the market, emphasising the importance of epidemiology in protecting public health. Key messages • Epidemiological investigation resulted in mass contaminated cheese withdrawal internationally. • Cross-sectoral work is important to safeguard public health.

Prevalence Trends of Foodborne Pathogens Bacillus cereus, Non-STEC Escherichia coli and Staphylococcus aureus in Ready-to-Eat Foods Sourced from Restaurants, Cafés, Catering and Takeaway Food Premises.

Foodborne pathogens of Bacillus cereus (B. cereus), non-STEC Escherichia coli (non-STEC E. coli) and Staphylococcus aureus (S. aureus) are currently non-notifiable in Australia unless attributed to a food poisoning outbreak. Due to the lack of data around individual cases and isolations in foods, any changes in prevalence may go undetected. The aim of this study was to determine any changes in the prevalence of B. cereus, non-STEC E. coli and S. aureus in ready-to-eat (RTE) foods sampled from Western Australian restaurants, cafés, catering facilities and takeaway food premises from July 2009 to June 2022. A total of 21,822 microbiological test results from 7329 food samples analysed over this 13-year period were reviewed and analysed. Linear trend graphs derived from the annual prevalence and binary logistic regression models were used to analyse the sample results, which indicated an increase in prevalence for B. cereus. In contrast, a decrease in prevalence for both S. aureus and non-STEC E. coli was determined. Additionally, there were changes in prevalence for the three bacteria in specific months, seasons, specific RTE foods and food premises types. Further research is needed to gain a better understanding of the potential drivers behind these changes in prevalence, including the potential impacts of climate change, COVID-19, legislation and guidelines targeting specific RTE foods, and the difficulty of differentiating B. cereus from B. thuringeniesis using standard testing methods.

Overview and trends in electrochemical sensors, biosensors and cellular antioxidant assays for oxidant and antioxidant determination in food

Screening and quantifying antioxidants from food samples, their antioxidant activity, as well as the assessment of food oxidation is critical, not only for ensuring food quality and safety, but also to understand and relate these parameters to the shelf life, sensory attributes, and health aspects of food products. For this purpose, several methods have been developed and used for decades, which regardless of their effectiveness, present a certain number of drawbacks mainly related to extensive sample preparation and technical complexity, time requirements, and the use of hazardous chemicals. Electrochemical sensors and biosensors are gaining popularity in food analysis due to their high sensitivity, specificity, rapid response times, and potential for miniaturisation and portability. Furthermore, other modern methods using whole living cells such as the cellular antioxidant activity assay, the antioxidant power 1 assay, and the catalase-like assays, may interpret more realistic antioxidant results rather than just reporting the ability to scavenge free radicals in isolated systems with extrapolation to reality. This paper provides an overview of electrochemical sensors, biosensors, and cellular antioxidant assays, and reviews the latest advancements and emerging trends in these techniques for determining oxidants and antioxidants in complex food matrices. The performances of different strategies are described for each of these approaches to provide insights into the extent to which these methods can be exploited in the field and inspire new research to fill the current gaps.

Deep eutectic solvent as stationary phase for flow analysis: Automated trace metal determination in food products

BackgroundDeep eutectic solvents (DES) have emerged as effective solvents that address many challenges in analytical chemistry, particularly in microextraction. However, until now, their use has been primarily focused on extraction processes. This has significantly limited their application in analytical chemistry, especially in flow analysis, where the high viscosity of DES has made their use difficult. ResultsThis paper presents a novel DES-based liquid-liquid microextraction approach for the separation and determination of trace metals in foods using an automated flow analysis system. In this study, a DES composed of thymol and thionalide was first prepared and thoroughly characterized by spectroscopic (IR, NMR) and differential scanning calorimetry techniques. The COSMO-SAC model was employed to predict the solubility of metal salts (Cu, Cd, Pb, and Hg) in the new DES. The solvent was applied to glass fiber as a stationary phase in an extraction column in a flow analysis. After microwave digestion of food samples, metals were extracted by this DES in an automated mode and subsequently eluted with an aqueous thiourea solution. The procedure demonstrated limits of detection (LOD) of 6 μg kg−1 for mercury, 4 μg kg−1 for copper, 6 μg kg−1 for lead and 0.6 μg kg−1 for cadmium. SignificanceThis study represents the first application of a DES-based stationary phase in automated flow analysis, significantly enhancing extraction efficiency. The procedure enables precise and reliable determination of trace metals in food products, aligning with green chemistry principles by minimizing waste.

Electrochemical Sensors in the Food Sector: A Review.

In a world that is becoming increasingly concerned with health, safety, and the sustainability of food supply chains, the control and assurance of food quality have become of utmost importance. This review examines the application and potential of electrochemical sensors in the dynamic field of food science to meet these expanding demands. The article introduces electrochemical sensors and describes their operational mechanics and the components contributing to their function. A summary of the most prevalent electrochemical methods outlines the diverse food analysis techniques available. The review shifts to discussing the food science applications of these sensors, highlighting their crucial role in detecting compounds in food samples like meat, fish, juice, and milk for contemporary quality control. This paper showcases electrochemical sensors' utility in food analysis, underscoring their significance as powerful, efficient tools for maintaining food safety and how they could transform our approach to global food quality control and assurance.

Assessment of greenness for solid phase microextraction techniques of sample preparation for flavors by AGREE Prep & SPMS tools

Assessing the greenness of sample preparation techniques is essential due to the use of various solvents, chemicals, reagents, sorbents, pH adjustments, and energetic inputs. Solid-Phase Microextraction (SPME) is preferred over traditional flavor extraction methods such as Simultaneous Distillation Extraction (SDE) and Solvent-Assisted Flavor Evaporation (SAFE) because of its sensitivity, efficiency, speed, versatility, and economy. SPME fibers coated with stationary phases can extract volatile and semi-volatile flavor compounds from food samples, which are then desorbed and analyzed by Gas Chromatography-Mass Spectrometry (GC–MS). This article provides an assessment of the greenness of 50 SPME techniques for flavor analysis using the AGREE Prep and Sample Preparation Metric of Sustainability (SPMS) tools. This evaluation offers valuable insights into the environmental impact and sustainability of SPME as sample preparation techniques for flavour analysis. As per AGREE Prep, method 34 was found to be environmental friendly with score of 0.66, attributed to safe solvents, minimized waste, high sample throughput, and low energy consumption where as method 7 with SPMS scores of 7.05 is more sustainable due to miniaturization, fewer steps, and low energy use.

A smartphone-integrated bimetallic ratiometric fluorescent probe for specific visual detection of tetracycline antibiotics in food samples and latent fingerprinting

Designing and preparing highly sensitive and accurate fluorescent chemosensors for monitoring tetracycline antibiotics remains a challenge. Herein, a fluorescent chemosensor based on lanthanide metal-organic frameworks (Ln-MOFs) is proposed to realize high-precision monitoring by adjusting the ratio of lanthanide ions. Ln-MOFs with good aqueous stability were prepared by a solvothermal method using Eu3+, Tb3+ and the ligand 4,4′,4″-s-triazine-2,4,6-triyltribenzoic acid (H3TATB) in DMF/NMP/H2O. The Ln-MOFs could recognize oxytetracycline (OTC) and doxycycline (DOX), and the detection limits of OTC and DOX were as low as 8.6 and 4.8 nM, respectively. In particular, Eu(1.4 μM)-Tb-MOF sensors were used for visual detection of OTC and DOX in combination with smartphones with detection lines as low as 9.8 nM and 14.2 nM, respectively. Meanwhile, Eu-MOF, Tb-MOF and Eu(1.4 μM)-Tb-MOF can be used for latent fingerprint (LFP) visualization, demonstrating their potential applications in the field of criminal case investigation. The developed probes were successfully applied to determining OTC and DOX in milk, beef and pork with recoveries ranging from 92.0 % to 109.63 % and relative standard deviations (RSDs) ranging from 1.83 % to 4.56 %. Eu(1.4 μM)-Tb-MOF is believed to utilize its lanthanide metal ion coordination and photoinduced electron transfer (PET) mechanism to achieve highly selective and accurate OTC and DOX detection, which is supported by experimental and density functional theory (DFT) calculations.

Single-walled carbon nanotubes hybrid carbon materials sensor for simultaneous detection of chloramphenicol and furazolidone in food samples

Single-walled carbon nanotubes hybrid carbon materials sensor for simultaneous detection of chloramphenicol and furazolidone in food samples

New Materials for Thin-Film Solid-Phase Microextraction (TF-SPME) and Their Use for Isolation and Preconcentration of Selected Compounds from Aqueous, Biological and Food Matrices.

Determination of a broad spectrum of analytes, carried out with analytical instruments in samples with complex matrices, including environmental, biological, and food samples, involves the development of new and selective sorption phases used in microextraction techniques that allow their isolation from the matrix. SPME solid-phase microextraction is compatible with green analytical chemistry among the sample preparation techniques, as it reduces the use of toxic organic solvents to the minimum necessary. Over the past two decades, it has undergone impressive progress, resulting in the development of the thin-film solid-phase microextraction technique, TF-SPME (the thin-film solid-phase microextraction), which is characterized by a much larger surface area of the sorption phase compared to that of the SPME fiber. TF-SPME devices, in the form of a mostly rectangular metal or polymer substrate onto which a thin film of sorption phase is applied, are characterized, among others, by a higher sorption capacity. In comparison with microextraction carried out on SPME fiber, they enable faster microextraction of analytes. The active phase on which analyte sorption occurs can be applied to the substrate through techniques such as dip coating, spin coating, electrospinning, rod coating, and spray coating. The dynamic development of materials chemistry makes it possible to use increasingly advanced materials as selective sorption phases in the TF-SPME technique: polymers, conducting polymers, molecularly imprinted polymers, organometallic frameworks, carbon nanomaterials, aptamers, polymeric ionic liquids, and deep eutectic solvents. Therefore, TF-SPME has been successfully used to prepare analytical samples to determine a broad spectrum of analytes in sample matrices: environmental, biological, and food. The work will be a review of the above-mentioned issues.

Mesoporous carbon nanospheres doped with rich non-metallic and metallic catalytic active sites: A high-performance electrochemical platform for sensing of chloramphenicol in food samples

The development of a low-cost, accurate sensing strategy for trace levels of chloramphenicol (CAP) residues in food is crucial but remains challenging. In this study, a high-performance electrochemical platform was developed to detect CAP in animal-derived foods using Ni2P embedded N, P-co-doped mesoporous carbon nanospheres (Ni2P@N,P-MCS). The Ni2P@N,P-MCS material, with a unique mesoporous structure and large specific surface area, exhibited excellent adsorption properties. The N, P-co-doped heteroatoms enhanced the electric conductivity and active centers of MCS, facilitating fast mass transport and electron transfer. The introduction of Ni2P increased the active sites and enhanced the electrocatalytic activity. Leveraging these advantages, the electrochemical sensor based on Ni2P@N,P-MCS demonstrated outstanding detection performance with a wide linear range from 0.04 to 250 μM and a low limit of detection of 12 nM. The sensor also showed good reproducibility, stability, and anti-interference properties. Furthermore, the sensor was successfully tested in milk and pork samples, showing satisfactory recovery rates and indicating its feasibility for real sample analysis.

Development of a novel ternary MOF nanozyme-based smartphone-integrated colorimetric and microfluidic paper-based analytical device for trace glyphosate detection

Given the significant and potential fatal implications of glyphosate (GLY) residues on human health and the integrity of ecosystems, their presence has garnered substantial global concern and scrutiny. Herein, we introduced a pioneering colorimetric sensing platform, the first of its kind, based on ternary metal-organic frameworks (ZnCo-ZIFs@MIL-101(Fe)). This innovative platform enabled ultra-sensitive, affordable, portable and rapid on-site detection of GLY. This platform achieved a wider linear range for GLY of 0.02–40 μg/mL with an exhibiting remarkable detection limit of 1 ng/mL, which was attributed to the electronic hybridization of the Fe3+, Co2+, and Zn2+ metal centers of ZnCo-ZIFs@MIL-101(Fe), significantly enhancing the composite's catalytic performance. The assay was successfully employed to detect GLY in food and herb samples. Moreover, to meet the demand of in-field detection for GLY, a smartphone detection method based on ZnCo-ZIFs@MIL-101(Fe) with visual, intelligent, and portable features was fabricated. This detection concentration range of GLY was 0–1 μg/mL, and the limit of smartphone detection was 23 ng/mL. Furthermore, this sensor seamlessly integrated with smartphones and paper-based microfluidic chips (μPADs), which constructed a portable test strips-smartphone sensing platform for facilitating real-time and on-site visual quantitative detection of GLY. The detection concentration range was 0–1 μg/mL, and the limit was calculated as low as 75 ng/mL. The assay was highly adaptable in practical applications. In summary, our study paved a novel pathway for the design and utilization of multi-metal MOF nanozymes in on-site pesticide monitoring.

Active Quantum Biomaterials-Enhanced Microrobots for Food Safety.

Timely disruptive tools for the detection of pathogens in foods are needed to face global health and economic challenges. Herein, the utilization of quantum biomaterials-enhanced microrobots (QBEMRs) as autonomous mobile sensors designed for the precise detection of endotoxins originating from Salmonella enterica (S. enterica) as an indicator species for food-borne contamination globally is presented. A fluorescent molecule-labeled affinity peptide functions as a specific probe, is quenched upon binding to the surface of QBEMRs. Owing to its selective affinity for endotoxin, in the presence of S. enterica the fluorescence is restored and easy to observe and quantifies optical color change to indicate the presence of Salmonella. The devised approach is designed to achieve highly sensitive detection of the S. enterica serovar Typhimurium endotoxin with exquisite selectivity through the utilization of QBEMRs. Notably, no fluorescence signal is observed in the presence of endotoxins bearing similar structural characteristics, highlighting the selectivity of the approach during food sample analysis. Technically, the strategy is implemented in microplate readers to extend microrobots-based approaches to the routine laboratory. This new platform can providefast and anticipated results in food safety.

A fundamental analysis on PAHs in food products to detect the toxicity index using fuzzy logic system

Polycyclic Aromatic Hydrocarbons (PAHs) are complex chemical compounds that occur naturally in unprocessed food when it is exposed to contaminated air during transportation, natural emission such as volcano, forest fire and through pesticides spray. It is reported by different agencies that there are 16 types of PAHs in which BaP (Benzo[a] pyrene), BaA (Benz[a]anthracene), BbF(Benzo [b] fluoranthene), Chr (Chrysene) are considered to be carcinogenic and it can occur due to different processes. In processed food it occurs due to various processing methods like overheating, incomplete burning, drying etc. The presence of PAH in food is conventionally found through analytical, traditional, and semi-automatic methods. These methods are found to be valuable but expensive and time-consuming. Further, these methods are used only for the detection of PAHs and the toxicity level is measured or identified based on expert knowledge of researchers and the Standards. Therefore, in this research, a simple harmfulness index system has been developed using Fuzzy Logic System(FLS). The proposed system has been designed based on the PAH values of different food and food products. Hence to initiate the study and to determine the significance of the results, PAH data have been collected from different articles that have investigated food products experimentally. These PAH data were analyzed using statistical measures such as Min, Mean, Max, Standard Deviation, Variance and Kurtosis method. Based on the observations from the results, the fuzzy sets were designed with four membership functions for each PAH and the rules were framed. The strength output from the inference engine has been associated with harmfulness index such as normal, low risk, medium risk, and high risk. From the evaluation, it can be observed that 89.72% of the food samples were recognized along with their degree of harmfulness. Also it can be inferred that 11% of the misclassified samples showed clear metrics of their harmfulness with PAH variations.

Design of a novel deep eutectic solvent for microextraction of Lissamine green B from food Samples: A green approach

The extraction of Lissamine Green B (LGB) from food matrices poses a challenge due to its low concentration and interference from other matrix compounds. In this study, a novel green approach utilizing a deep eutectic solvent (DES) for dispersive liquid microextraction (GDES- DLLME) of LGB is presented. The DES, formulated from eco-friendly components and synthesized through mechanochemical methods for the first time, presents a sustainable alternative to traditional solvents. The DES characterization was implemented via 1H and 13C Nuclear Magnetic Resonance spectroscopy (NMR) analysis. The microextraction procedure was optimized for maximum efficiency, considering factors such as extraction time, DES composition, and sample pH, THF volume, NaCl amount, sample volume etc. The developed method was then applied to various food samples using spectrophotometric detection for the quantitative analysis of LGB, including water samples, beverages and foods. Furthermore, analytical performance values such as limit of detection (LOD), limit of quantification (LOQ), relative standard deviation (RSD), and preconcentration factor (PF) were calculated as 0.76 ng/mL, 2.56 ng/mL, % 4.6, and 22.5 respectively. The results demonstrated the effectiveness of simply generated DES as an extraction solvent and enabled sensitive and selective determination of LGB in complex food matrices. This eco-friendly method is promising for food safety and quality control applications, providing a sustainable solution for the analysis of LGBs in food.

An ultrasensitive liquid crystal aptasensing chip assisted by three-way junction DNA pockets for acrylamide detection in food samples

Acrylamide, an unsaturated amide found in heat-processed foods, poses serious risks to human health due to its neurotoxicity, carcinogenicity, and genotoxicity. This highlights the importance of quantitative determination of acrylamide in foods and the environments to ensure public health safety. Therefore, there is an urgent need for simple, rapid, and highly sensitive methods to accurately quantify acrylamide. In the present study, a user-friendly aptasensor was designed to quantify ultra-low levels of acrylamide in nuts for the first time. This innovative approach utilizes chemical engineering of a glass slide as a portable sensing platform, which incorporates liquid crystal (LC) molecules and a three-way junction (TWJ) DNA pocket. The immobilized TWJ pocket can disrupt the vertical alignment of LCs, turning the dark polarized background of the aptasensor to a colorful state. The binding of the specific aptamer to acrylamide disrupts the TWJ structure, enabling the LCs to return to their homotropic alignment. This structural change restores the dark polarized view of the sensing platform. The TWJ-engineered LC aptasensor effectively detects ultra-low concentrations of acrylamide in the range of 0.0005 to 50 fmol/L, with a detection limit of 0.106 amol/L. The aptasensor was successfully applied to real roasted nut samples, including peanut, almond, pistachio, and hazelnut, achieving recovery values ranging from 96.84 % to 99.61 %. With its simplicity, portability, ease of use, and cost-effectiveness, this aptasensor is a powerful sensing device for food safety monitoring.