Critical Control Research Articles

Magnetically Induced Thermal Effects on Tobacco Mosaic Virus-Based Nanocomposites for a Programmed Disassembly of Protein Cages.

Protein cages are promising tools for the controlled delivery of therapeutics and imaging agents when endowed with programmable disassembly strategies. Here, we produced hybrid nanocomposites made of tobacco mosaic virus (TMV) and magnetic iron oxide nanoparticles (IONPs), designed to disrupt the viral protein cages using magnetically induced release of heat. We studied the effects of this magnetic hyperthermia on the programmable viral protein capsid disassembly using (1) elongated nanocomposites of TMV coated heterogeneously with magnetic iron oxide nanoparticles (TMV@IONPs) and (2) spherical nanocomposites of polystyrene (PS) on which we deposited presynthesized IONPs and TMV via layer-by-layer self-assembly (PS@IONPs/TMV). Notably, we found that the extent of the disassembly of the protein cages is contingent upon the specific absorption rate (SAR) of the magnetic nanoparticles, that is, the heating efficiency, and the relative position of the protein cage within the nanocomposite concerning the heating sources. This implies that the spatial arrangement of components within the hybrid nanostructure has a significant impact on the disassembly process. Understanding and optimizing this relationship will contribute to the critical spatiotemporal control for targeted drug and gene delivery using protein cages.

On excess reactivity control of the advanced high temperature reactor (AHTR)

The Advanced High Temperature Reactor (AHTR) is a large Fluoride salt cooled High temperature Reactor (FHR) with a thermal power of 3400 MWt, utilizing hexagonal fuel elements with TRISO fuel spheres embedded in graphite fuel plates. While its cycle length is relatively short (less than one year), its specific power is high, resulting in high cycle burnup and consequently high initial excess reactivity that needs to be controlled. This is achieved by using both Eu2O3 burnable poison spheres and molybdenum-hafnium-carbon control rods. This work details studies developing and implementing these two reactivity control features over representative AHTR fuel cycles. Various Eu2O3 densities are considered to evaluate both the achieved reactivity control and the residual reactivity penalty of burnable poison at end of cycle. Control rod studies are performed to find integral and partial insertion reactivity worth for control rod banks at various radial locations. Axial power impacts are also evaluated. Focus then shifts toward control rod movement strategies. A manually generated insertion scheme leading to a critical configuration is first investigated to serve as a reference point for automated schemes to follow. Next, automated insertion and withdrawal strategies are evaluated based on their radial power peaking performance. Control rod insertions into the core locations with the highest local power are shown to be more stable than control rod withdrawals from core locations with the lowest local power. Finally, a methodology is introduced for finding a critical control rod insertion configuration. The methodology is intended to be used over a depletion sequence where the positions of the control rods are automatically adjusted to maintain criticality over cycle. In summary, this work presents a possible implementation of AHTR reactivity control and introduces automated control rod movement strategies for use in multi-physics depletion analyses.

Growth and no-growth boundary of Clostridium perfringens in cooked cured meats – A logistic analysis and development of critical control surfaces using a solid growth medium

This study was conducted to evaluate the effect of sodium nitrite (NaNO2, 100–200 ppm), sodium erythorbate (SE, 0–547 ppm), sodium tripolyphosphate (STPP, 0–0.5 %), and sodium chloride (NaCl, 2–3 %) on growth of C. perfringens using a solid growth medium and to develop a growth/no-growth boundary (critical control surface, or CCS) to prevent its growth in cooked cured meat under the optimal temperature condition. Melted Shahidi Ferguson Perfringens (SFP) agar, inoculated with a 3-strain spore cocktail and mixed with NaNO2, SE, STPP, and NaCl according to a Box-Behnken response surface experimental design, was dispersed in 96-well microplates and incubated anaerobically in an incubator programmed to remain at 4 °C for 24 h, heat to 80 °C in 1.75 h, quickly (0.5 h) cool to 46 °C (optimum temperature), and then maintain at 46 °C overnight. The plates were examined optically and visually for colony formation. Any well free of growth was designated as no-growth. Logistic regression was used to analyze the growth probability (P) as affected by NaNO2, SE, STPP, and NaCl and define a CSS as meeting the criterion of P < 1/96. The results showed that STPP and the interactions of SE with NaNO2 and NaCl could reduce the growth probability of C. perfringens in SFP agar. The validation of CCS with ground beef showed an accuracy of 96.3 % for no growth of C. perfringens in the inoculated samples. The results of this study proved that cured meat can be formulated with proper combinations of NaNO2, SE, STPP, and NaCl to prevent the growth of C. perfringens even under the optimum temperature condition, thus preventing food poisoning caused by the growth of this microorganism.

Risk analysis of critical control points of &lt;i&gt;Staphylococcus aureus&lt;/i&gt; in layer farms and egg chicken distributors

Microbiological criteria play a role in verifying the critical control points (CCP), which become part of the hazard analysis, and the CCP system that guarantees quality, considering possible danger points or stages in the food production chain. Studies about Staphylococcus aureus in chicken eggs more extensively discuss the path, source, and level of prevalence of contamination at the final distributor or consumer. Therefore, this study investigates CCP contamination of S. aureus in chicken eggs and their potential consumption, which could endanger human health from the layer farm until the final distributor. This study is critical in health, public health, and veterinary medicine for preventing and controlling consumers' security. This study done for CCP on the chain distribution of chicken eggs starts with preparing production and distribution process flow diagrams for livestock, agents/wholesalers, and retailers. Confirmation of operational production in the field/location study is based on the flow chart that has been arranged, identifying all potential dangers associated with each stage and analyzing potential risks considering every action for controlling identified hazards. The next step involves pinpointing the CCP to counteract the identified threat. An application tree decision defines the CCP, and the logical and final approach is the determination limit critical to the CCP. Analysis results in the determination of CCP contamination of S. aureus, indicating that chicken eggs, personal hands (farm workers, wholesalers, and retailers), shelf eggs, and feces are CCP on farms.

Improving meat quality and safety: innovative strategies

Ensuring meat products' quality and safety is paramount in today's food industry. This extended abstract delves into innovative strategies to enhance meat quality and safety throughout the production, processing, and distribution stages. The paper explores various cutting-edge approaches, technologies, and regulatory frameworks to mitigate risks and improve consumer confidence in meat products. The discussion begins with examining advancements in meat processing techniques, such as high-pressure processing (HPP), modified atmosphere packaging (MAP), and irradiation. These techniques are instrumental in reducing microbial contamination, extending shelf life, and preserving the nutritional integrity of meat products. Furthermore, the paper explores emerging technologies like nanotechnology and blockchain, which offer novel solutions for enhancing traceability, transparency, and accountability in the meat supply chain. Much of the paper discusses the role of quality control measures in ensuring meat safety and compliance with food safety regulations. From carcass inspection and microbiological testing to chemical residue analysis and packaging standards, rigorous quality control protocols are essential for identifying and mitigating potential hazards at every stage of meat production. Moreover, the paper highlights the importance of animal husbandry practices, feed management, and genetics in influencing meat quality attributes such as flavour, texture, and tenderness. Producers can enhance meat products' overall quality and palatability by implementing improved animal husbandry practices, optimizing feed formulations, and selectively breeding animals for desirable traits. In addition to technological advancements and quality control measures, the paper emphasizes the need for regulatory compliance and government oversight to uphold food safety standards. Ensuring adherence to regulations such as Hazard Analysis and Critical Control Points (HACCP) and implementing comprehensive food safety management systems are essential for safeguarding public health and consumer trust. In conclusion, this extended abstract provides a comprehensive overview of innovative strategies for improving meat quality and safety in the food industry. By embracing advancements in processing techniques, leveraging new technologies, implementing stringent quality control measures, and adhering to regulatory requirements, stakeholders can enhance the safety, integrity, and consumer perception of meat products in the marketplace.

Design and Development Considerations of a Cyber Physical Testbed for Operational Technology Research and Education.

Cyber-physical systems (CPS) are vital in automating complex tasks across various sectors, yet they face significant vulnerabilities due to the rising threats of cybersecurity attacks. The recent surge in cyber-attacks on critical infrastructure (CI) and industrial control systems (ICSs), with a 150% increase in 2022 affecting over 150 industrial operations, underscores the urgent need for advanced cybersecurity strategies and education. To meet this requirement, we develop a specialised cyber-physical testbed (CPT) tailored for transportation CI, featuring a simplified yet effective automated level-crossing system. This hybrid CPT serves as a cost-effective, high-fidelity, and safe platform to facilitate cybersecurity education and research. High-fidelity networking and low-cost development are achieved by emulating the essential ICS components using single-board computers (SBC) and open-source solutions. The physical implementation of an automated level-crossing visualised the tangible consequences on real-world systems while emphasising their potential impact. The meticulous selection of sensors enhances the CPT, allowing for the demonstration of analogue transduction attacks on this physical implementation. Incorporating wireless access points into the CPT facilitates multi-user engagement and an infrared remote control streamlines the reinitialization effort and time after an attack. The SBCs overwhelm as traffic surges to 12 Mbps, demonstrating the consequences of denial-of-service attacks. Overall, the design offers a cost-effective, open-source, and modular solution that is simple to maintain, provides ample challenges for users, and supports future expansion.

Neonatal Chlamydia muridarum respiratory infection causes neuroinflammation within the brainstem during the early postnatal period

Respiratory infections are one of the most common causes of illness and morbidity in neonates worldwide. In the acute phase infections are known to cause wide-spread peripheral inflammation. However, the inflammatory consequences to the critical neural control centres for respiration have not been explored. Utilising a well characterised model of neonatal respiratory infection, we investigated acute responses within the medulla oblongata which contains key respiratory regions. Neonatal mice were intranasally inoculated within 24 h of birth, with either Chlamydia muridarum or sham-infected, and tissue collected on postnatal day 15, the peak of peripheral inflammation. A key finding of this study is that, while the periphery appeared to show no sex-specific effects of a neonatal respiratory infection, sex had a significant impact on the inflammatory response of the medulla oblongata. There was a distinct sex-specific response in the medulla coincident with peak of peripheral inflammation, with females demonstrating an upregulation of anti-inflammatory cytokines and males showing very few changes. Microglia also demonstrated sex-specificity with the morphology of females and males differing based upon the nuclei. Astrocytes showed limited changes during the acute response to neonatal infection. These data highlight the strong sex-specific impact of a respiratory infection can have on the medulla in the acute inflammatory phase.

Presence of Indicator Bacteria and Occurrence of Potentially Pathogenic Nontuberculous Mycobacteria Species in Packaged Ice Cubes in Central Mexico

This study aimed to determine the bacteriological quality and presence of diarrheagenic Escherichia coli pathotypes (DEP) and nontuberculous mycobacteria (NTM) species in 85 packaged ice samples from 12 different states of central Mexico. Three samples had a pH of 9.8 and therefore fell outside of the acceptable range for pH. All samples were positive for aerobic-mesophilic bacteria, with limits ranging from 1 to 3.47 log CFU/mL. In total, 35, 11, and 3 ice samples were positive for total coliforms (TC), fecal coliforms (FC), and E. coli, respectively. In the samples, the TC concentration ranged from <1.1 to >23 MPN/100 mL and from <1.1 to 23 MPN/100 mL for FC and E. coli. In total, 38 (44.7%) ice samples were outside of Mexico's official guidelines. None of the 12 E. coli strains isolated from the three ice samples belonged to DEP. NTM were recovered from 20 ice samples and included M. neoaurum (n = 7), M. porcinum (n = 2), M. flavescens (n = 2), M. fortuitum (n = 1), M. abscessus (n = 1), M. senegalense (n = 1), M. conceptionense (n = 1), and M. sp. (n = 1). In the remaining four samples, two NTM were isolated simultaneously. Thus, we recommend that producers should evaluate the microbiological quality of purified water used as a raw material as well as that of the final product, the ice should be packed in thick bags to avoid stretching and tearing during transportation or storage to prevent environmental contamination of ice, personnel involved in the production, and handling of ice should be trained in relative hygiene matters and how ice-machines should be cleaned and disinfected and the implementation of hazard analysis and critical control points must be applied throughout the chain of production. Finally, regular inspection by the authorities is also of great importance. These recommendations can be applied in different countries with low microbiological quality packaged ice.

Implementation of HACCP (Hazard Analysis and Critical Control Points) in Hotels and Restaurants: The Crucial Role of Semarang Royale Golf Employees' Knowledge and Implementation in Ensuring Food Safety

In the world of Food &amp; Beverages (F&amp;B), ensuring the safety of the food products produced is very important. Knowledge of Hazard Analysis and Critical Control Points (HACCP) is very important for hotels and restaurants in an effort to ensure food safety. HACCP is a food safety management system based on a preventive approach, by identifying, evaluating and controlling hazards that are significant to food safety. The implementation of HACCP in hotels and restaurants helps prevent food contamination, provides food safety assurance for consumers, and increases customer trust and satisfaction. In addition, HACCP implementation also helps hotels and restaurants meet applicable food safety regulations and standards. Thus, HACCP knowledge for hotels and restaurants is very important to maintain the quality and safety of the food served, as well as maintaining the reputation and sustainability of the business.

Emerging Trends of Immunosensors Development for Detection of Food Toxins

The present study highlights the ongoing threat of foodborne illnesses to public health, primarily caused by bacterial pathogens. Despite advancements in conventional microbiological testing techniques, which are sensitive but time-consuming, challenges remain in ensuring timely detection of contaminants throughout the food supply chain. The Hazard Analysis Critical Control Point (HACCP) system is recognized as a more effective approach to ensuring food safety, emphasizing proactive identification and control of hazards at critical points in production. Emerging technologies like quantitative polymerase chain reaction (PCR) and biosensors offer faster and more accurate detection methods, although with certain limitations. Biosensors such as ELISA, SPR, and electrochemical immunosensors, in particular, show promise due to their high sensitivity and specificity, enabling rapid detection of a wide range of contaminants. This paper underscores the importance of integrating advanced technologies with established food safety protocols to enhance the safety and quality of food products, benefiting consumers, producers, and regulatory agencies alike.

Frequency of workplace incidents and injuries in veterinarians, veterinary nurses and veterinary students and measures to control these.

Veterinarians, veterinary nurses and veterinary students work and train in a variety of environments and are exposed to a wide range of hazards. (1) To compare the rate of health and safety incidents and injuries between veterinarians, veterinary nurses and veterinary students. (2) To investigate the health and safety hazard controls present in Australian veterinary workplaces. A cross-sectional study, using an online questionnaire. Anonymous links to the questionnaire were disseminated to Australian veterinarians, veterinary nurses and veterinary students. A total of 494 veterinarians, 484 veterinary nurses and 212 veterinary students completed the survey. Incidents and injuries were common, particularly sharps-related injuries and animal bites. Australian veterinary nurses and veterinarians experienced the studied incidents at similar rates to each other. Veterinary students experienced some incidents and injuries at rates higher than both veterinarians and veterinary nurses, including heatstroke, hypothermia, sunburn, electric shock, loss of consciousness, being rammed or pushed over by an animal and farm equipment injuries. Of the workplace hazard controls reported, first aid boxes were most commonly present, and safety meetings occurred least commonly. Veterinary nurses received Q fever and rabies vaccines much less frequently than veterinarians and veterinary students. This study demonstrated that improvements need to be made to the occupational health and safety standards in the Australian veterinary sector. Veterinarians and veterinary nurses had suboptimal rates of access to many of the required and critical workplace health and safety controls. Improvements to the standard of health and safety training of veterinary students are indicated, given their higher rates of certain incidents and injury.

Selenium Nanoparticles as Neuroprotective Agents: Insights into Molecular Mechanisms for Parkinson's Disease Treatment.

Oxidative stress and the accumulation of misfolded proteins in the brain are the main causes of Parkinson's disease (PD). Several nanoparticles have been used as therapeutics for PD. Despite their therapeutic potential, these nanoparticles induce multiple stresses upon entry. Selenium (Se), an essential nutrient in the human body, helps in DNA formation, stress control, and cell protection from damage and infections. It can also regulate thyroid hormone metabolism, reduce brain damage, boost immunity, and promote reproductive health. Selenium nanoparticles (Se-NPs), a bioactive substance, have been employed as treatments in several disciplines, particularly as antioxidants. Se-NP, whether functionalized or not, can protect mitochondria by enhancing levels of reactive oxygen species (ROS) scavenging enzymes in the brain. They can also promote dopamine synthesis. By inhibiting the aggregation of tau, α-synuclein, and/or Aβ, they can reduce the cellular toxicities. The ability of the blood-brain barrier to absorb Se-NPs which maintain a healthy microenvironment is essential for brain homeostasis. This review focuses on stress-induced neurodegeneration and its critical control using Se-NP. Due to its ability to inhibit cellular stress and the pathophysiologies of PD, Se-NP is a promising neuroprotector with its anti-inflammatory, non-toxic, and antimicrobial properties.

Is Blockchain a Panacea for Guarding PDO Supply Chains? Exploring Vulnerabilities, Critical Control Points, and Blockchain feasibility in Greece

AbstractWithin food Supply Chains (SCs), food products labeled through Geographical Indications (GIs) hold paramount importance as distinctive and culturally significant entities, ensuring the integrity and distinctiveness of regional specialties. By strictly regulating the geographic origin and production methods, the Protected Designation of Origin (PDO) not only guarantees the preservation of traditional practices but also safeguards the cultural legacy and identity of the regions where genuine PDO products are produced. However, the very mechanisms safeguarding PDO authenticity can be exploited within globalized food systems, creating opportunities for fraudulent activities and intentional or unintentional adulteration. This study specifically delves into the overarching realm of PDO SCs, using PDO Feta cheese as a prominent case study. Through an assessment of Feta cheese SC in Greece, encompassing the Delphi Technique with the amalgamation of the design stages of Hazard Analysis and Critical Control Points (HACCP), Vulnerabilities Assessment and Critical Control Point (VACCP), and Threat Assessment and Critical Control Point (TACCP) methodologies, the operations, vulnerabilities, and critical control points are scrutinized. The results indicate multifaceted vulnerabilities and Critical Control Points (CCPs) in the Feta cheese SC that need to be addressed and constitute a precursor for augmenting PDO SCs. Moreover, the utilization of Blockchain Technology (BT) exhibits intrinsic potential for enhancing the administration of supply chains with the potential to fundamentally transform data management practices and foster increased levels of trust among stakeholders.

Integrating ERM with HACCP for Enhanced Efficiency in SME Beverage Manufacturing: The Case of SME Beverage Manufacture Company in Rembang, Indonesia

This study presents an approach to determining the most impactful risks faced by an SME beverage manufacturing company in Rembang, Indonesia. Indonesia’s food and beverage market is highly competitive, especially for small and medium-sized enterprises (SMEs) that aim to sustain and grow their businesses. Focusing more on their business strategy, these SMEs often overlook risk management, which can lead to significant losses. The study employs a methodology that combines Enterprise Risk Management (ERM) with Hazard Analysis Critical Control Points (HACCP) to detect and evaluate potential risks in the production process, ultimately providing recommendations for the best possible corrective actions to manage these risks. The ERM framework highlighted three major risks associated with defective products, water shortage, and blackout, while the HACCP analysis pinpointed five critical control points (CCPs) in the production process of boiling, cooling, mixing, filling/bottling, and packaging. Based on these results, the study suggests corrective actions of installing backup generators, securing additional water supplies, and implementing homogenizers will benefit the company.

Bridging 20 Years of Soil Organic Matter Frameworks: Empirical Support, Model Representation, and Next Steps

AbstractIn the past few decades, there has been an evolution in our understanding of soil organic matter (SOM) dynamics from one of inherent biochemical recalcitrance to one deriving from plant‐microbe‐mineral interactions. This shift in understanding has been driven, in part, by influential conceptual frameworks which put forth hypotheses about SOM dynamics. Here, we summarize several focal conceptual frameworks and derive from them six controls related to SOM formation, (de)stabilization, and loss. These include: (a) physical inaccessibility; (b) organo‐mineral and ‐metal stabilization; (c) biodegradability of plant inputs; (d) abiotic environmental factors; (e) biochemical reactivity and diversity; and (f) microbial physiology and morphology. We then review the empirical evidence for these controls, their model representation, and outstanding knowledge gaps. We find relatively strong empirical support and model representation of abiotic environmental factors but disparities between data and models for biochemical reactivity and diversity, organo‐mineral and ‐metal stabilization, and biodegradability of plant inputs, particularly with respect to SOM destabilization for the latter two controls. More empirical research on physical inaccessibility and microbial physiology and morphology is needed to deepen our understanding of these critical SOM controls and improve their model representation. The SOM controls are highly interactive and also present some inconsistencies which may be reconciled by considering methodological limitations or temporal and spatial variation. Future conceptual frameworks must simultaneously refine our understanding of these six SOM controls at various spatial and temporal scales and within a hierarchical structure, while incorporating emerging insights. This will advance our ability to accurately predict SOM dynamics.

Evaluation of the quality and nutritional value of meat snacks

Preservation of health has ceased to be the sphere of attention of only medicine. This problem has become one with household ones. This determines the direction, priorities and development of the latest food technologies. Nutrition directly affects the human body all along life. In the beginning it was enough to simply follow the principles of healthy eating. Today it has become clear that striving for an ideal creates false interpretations with negative results (nutrient deficiencies) due to excessive food restriction. Therefore, the aim of the research was to determine the indicators of quality and nutritional value of meat snacks, as products of deep processing, which are a source of important nutrients, which will refute the critical attitude of consumers. Physico-chemical, microbiological, and organoleptic research methods were used for its implementation. Experiments were conducted using chicken meat as a raw material and meat snacks based on it. According to the results of the physical and chemical analysis, it was established that the nutritional value of the product increases after the technological processing of the raw materials – the protein content in the snacks increases by 40.18 %. A decrease in fat by 1.41 % indicates the dietary characteristics of ready to eat meat snacks. But the high salt content (2.11 %) significantly limits their consumption due to the risk of oversaturation of the body with sodium. During the organoleptic evaluation, it was established that all the studied samples had a dry, clean surface, uniform color, no foreign, unnatural shades, a pleasant smell with the aroma of spices, but a fragile texture. Microbiological analysis of the samples showed that mostly pathogenic microflora was absent, except for sulfite-reducing clostridia, which were detected at 1∙101 in 0.01 g. The obtained results practically make it possible to evaluate the useful and dietary properties of meat snacks and the reasons for choosing this product during the formation of a personal diet in accordance with individual preferences and beliefs regarding the principles of clean, healthy nutrition. In addition, a critical control point has been determined, according to which consumers should control the amount of meat snacks consumed, and manufacturers should improve the recipe in order to reduce the salt content in the product.

ANALYSIS OF EFEECTIVENESS OF CRITICAL CONTROL IMPLEMENTATION USING PLANNED JOB OBSERVATION IN DIVISION X PT. A

International Council of Mining and Metals (ICMM) constructed a framework of Critical Control Management (CCM) to prevent fatality. PT A still experienced the accident with TRIR 0.168 in 2020 then increased 0.176 in 2021. This study aimed to assess the effectiveness of CC in Mining Industry Division X PT A. Semi-quantitative study with descriptive model conducted in Division X PT. A. Data collected according to 5 main variables, namely supervisory system, hierarchy of control implementation, control implementation, policy conformity, and hazards and risks compliance. Primary data was collected from 17 supervisors who had Planned Job Observation (PJO) responsibility through questionnaire and in-depth interviews. Secondary data was HIRADC collected from 11 departments. Data analysis was conducted by descriptive statistical analysis and content analysis. PJO result indicated 20.9% inadequate result related to work practice. Control effectiveness questionnaire signified adequate result for all 5 variables with very suitable result. In addition, in-depth interviews resulted in positive findings in all variables and negative findings for supervisory system, hierarchy of control implementation, and control implementation. Overall, the effectiveness of CC in Division X PT. A still needs to be improved, especially for the aspects of work practice control enforcement and workers’ attitude towards CC.

Removal and risk assessment of emerging contaminants and heavy metals in a wastewater reuse process producing drinkable water for human consumption

This study focuses on the removal and risk assessment of twenty emerging contaminants (ECs) and heavy metals in a REMIX water treatment plant (RWTP) that produces drinking water from combination of wastewater reuse and desalination. The membrane biological reactor (MBR) exhibit removal rates exceeding 95% of pharmaceuticals like acetaminophen, trimethoprim, diclofenac, naproxen, and emtricitabine. The efficiency of brackish reverse osmosis (BWRO) in removing ECs is highlighted, showing substantial efficacy with reduction rates of 99.5%, 75.5%, and 51.2% for sulfamethoxazole, venlafaxine, and benzotriazole, respectively. The advanced oxidation process based on Fenton process reveals removal (>95%) of emtricitabine, efavirenz, and carbamazepine. The study confirms that the combination of treatment units within the RWTP effectively removes heavy metals (>90%), complying with acceptable limits. Risk quotient (RQ) calculations indicate the efficiency of the RWTP in EC removal, serving as benchmarks for public acceptance of reclaimed water. In the context of heavy metals, the study concludes negligible cancer risks associated with reclaimed water consumption over a lifetime. Quantitative structure-activity relationship and occurrence, persistence, bioaccumulation and toxicity (OPBT) models were used to assess EC risk. The study screened and identified potential persistant, bio accumulating and toxic PBT ECs. Critical control points (CCPs) in the RWTP are identified, with brackish and seawater reverse osmosis (BWRO and SWRO) and advanced oxidation process (AOP) recognized as pivotal in hazard management. The study provides valuable insights on the removal of ECs and heavy metals in a wastewater reuse process and demonstrates potential of adopted process configuration in supplying safe drinking water from wastewater recycling.

Advancements in Predictive Microbiology: Integrating New Technologies for Efficient Food Safety Models.

Predictive microbiology is a rapidly evolving field that has gained significant interest over the years due to its diverse application in food safety. Predictive models are widely used in food microbiology to estimate the growth of microorganisms in food products. These models represent the dynamic interactions between intrinsic and extrinsic food factors as mathematical equations and then apply these data to predict shelf life, spoilage, and microbial risk assessment. Due to their ability to predict the microbial risk, these tools are also integrated into hazard analysis critical control point (HACCP) protocols. However, like most new technologies, several limitations have been linked to their use. Predictive models have been found incapable of modeling the intricate microbial interactions in food colonized by different bacteria populations under dynamic environmental conditions. To address this issue, researchers are integrating several new technologies into predictive models to improve efficiency and accuracy. Increasingly, newer technologies such as whole genome sequencing (WGS), metagenomics, artificial intelligence, and machine learning are being rapidly adopted into newer-generation models. This has facilitated the development of devices based on robotics, the Internet of Things, and time-temperature indicators that are being incorporated into food processing both domestically and industrially globally. This study reviewed current research on predictive models, limitations, challenges, and newer technologies being integrated into developing more efficient models. Machine learning algorithms commonly employed in predictive modeling are discussed with emphasis on their application in research and industry and their advantages over traditional models.

Critic learning control via zero-sum differential game for affine formation maneuver of multi-agent systems with cyber-attacks

The affine formation maneuver (AFM) control problem using the zero-sum differential game is studied for a second-order multi-agent system (MAS) against cyber-injection attacks on the actuators. First and foremost, the distributed control signals and the cyber-injected attack signals are viewed as two competing teams. Then, the leader-follower tracking error system is established where the followers aim to track the AFMs of the leaders. The leader-follower distributed optimal control policies and the cyber-attack attenuation policies are derived from the Nash equilibrium solution of the Hamilton-Jacobi-Isaac (HJI) equation. The solution of the HJI equation is estimated with the aid of the critic neural network. The weights of the critic system are learned online based on the adaptive dynamic programming (ADP) scheme. The uniformly ultimately bounded stability of the closed-loop system under the formulated zero-sum differential game control strategy has been proven by the Lyapunov stability theorem. A simulation example illustrates that the presented control method can attenuate cyber-injection attacks on the actuators and maintain the AFMs of the agents.