Implementation of hazard analysis and critical control point (HACCP) in yogurt production.

This study aimed to review hazard analysis and critical control points (HACCP) in the dairy industry for the production of yogurt. The food safety management system (FSMS) was implemented over the last several decades with several amendments. The need for practical and proactive procedures in the dairy industry was identified so that HACCP implementation could ensure that consumers would always have safe food. The concept of HACCP is a systemic and science-based method that can result in safe dairy products such as yogurt based on the complete analysis of manufacturing processes, recognition of hazards potentially present at all stages of production, and risk prevention. In yogurt production, raw milk receipt, pasteurization, packaging, and storage are the steps most susceptible to contamination and were considered critical control points. Further steps also need to be implemented to achieve other related control measures, and these will be discussed.

An electrochemical aptasensor for zearalenone detection based on the Co3O4/MoS2/Au nanocomposites and hybrid chain reaction.

An electrochemical aptasensor was used for the fast and sensitive detection of zearalenone (ZEN) based on the combination of Co3O4/MoS2/Au nanocomposites and the hybrid chain reaction (HCR). The glassy carbon electrode was coated with Co3O4/MoS2/Au nanomaterials to immobilize the ZEN-cDNA that had been bound with ZEN-Apt by the principle of base complementary pairing. In the absence of ZEN, the HCR could not be triggered because the ZEN-cDNA could not be exposed. After ZEN was added to the surface of the electrode, a complex structure was produced on the modified electrode by the combination of ZEN and ZEN-Apt. Therefore, the ZEN-cDNA can raise the HCR to produce the long-strand dsDNA structure. Due to the formation of dsDNA, the methylene blue (MB) could be inserted into the superstructure of branched DNA and the peak currents of the MB redox signal dramatically increased. So the concentration of ZEN could be detected by the change of signal intensity. Under optimized conditions, the developed electrochemical biosensing strategy showed an outstanding linear detection range of 1.0×10-10 mol/L to 1.0×10-6 mol/L, a low detection limit (LOD) of 8.5×10-11 mol/L with desirable selectivity and stability. Therefore, the fabricated platform possessed a great application potential in fields of food safety, medical detection, and drug analysis.

Risk factors for food contamination among children discharged from community management of acute malnutrition programmes in South Sudan: A cross-sectional study and hazard analysis critical control point approach.

Children under-5 years of age are particularly vulnerable to severe acute malnutrition (SAM), and the risk factors associated with relapse to SAM are poorly understood. Possible causes are asymptomatic or symptomatic infection with enteric pathogens, with contaminated food as a critical transmission route. This cross-sectional study comprised a household survey with samples of child food (n = 382) and structured observations of food preparation (n = 197) among children aged 6-59 months that were discharged from treatment in community management of acute malnutrition (CMAM) programmes in South Sudan. We quantified Escherichia coli and total coliforms (TCs), measured in colony forming units per g of food (CFU/g), as indicators of microbial contamination of child food. A modified hazard analysis critical control point (HACCP) approach was utilised to determine critical control points (CCPs) followed by multivariate logistic regression analysis to understand the risk factors associated with contamination. Over 40% (n = 164) of samples were contaminated with E. coli (43% >0 E. coli CFU/g, 95% CI 38%-48%), and 90% (n = 343) had >10 TCs (CFU/g) (>10 TC CFU/g, 95% CI 87%-93%). Risk factors associated (p < 0.05) with child food contamination included if the child fed themselves (9.05 RR, 95% CI [3.18, 31.16]) and exposure to animals (2.63 RR, 95% CI [1.33, 5.34]). This study highlights the risk factors and potential control strategies that can support interventions that reduce food contamination exposure in young children and help further protect those that are highly vulnerable to recurrent exposure to enteric pathogens.

HACCP plan for microbiological hazards associated with fermented crab, Episesarma mederi H. Milne Edwards 1853.

AIMS: To develop a model HACCP plan related to the microbiological hazards for the traditional fermented crab. METHODS AND RESULTS: The microbiological and chemical characteristics of commercial products were surveyed. Microbiological hazard analysis was performed for raw materials and during processing. Critical control points (CCPs) were determined using a decision tree, with CCP1 as saturated salt preparation and CCP2 as fermentation. The critical limit (CL) of CCP1 was at 100°C for 20 min applied to brining and of CCP2 was at 25% NaCl for the brine applied to fermented crab. Isolated microbial hazards and type strains were used for the validation of the CLs. Monitoring and verification of the proposed HACCP plan were carried out, and an effective HACCP plan was established. CONCLUSIONS: The HACCP plan promoted the safe consumption of fermented crab with the provided CCPs at the saturated salt preparation and fermentation steps. The effective CLs to ensure microbiological hazards as safe at the CCPs provide the best support for an effective plan. The hazards were reduced significantly after the HACCP plan had been applied.

The Importance of Hazard Analysis by Critical Control Point for Effective Pathogen Control in Animal Feed: Assessment of Salmonella Control in Feed Production in Sweden, 1982-2005.

This study is the first to show that Hazard Analysis by Critical Control Point (HACCP)-based monitoring can be an effective tool for ensuring Salmonella-safe feed, by virtually eliminating feedborne Salmonella infection even in broiler production. Data from the control of Salmonella in feed and food animal production during 1982-2005, showed that conventional endpoint testing in feed mills did not ensure a Salmonella-safe feed, and in one feed mill failed to detect Salmonella contamination, resulting in the feed infecting 80 out of 197 (40.6%) recipient broiler flocks. Following implementation in 1991 of a HACCP-based control in feed mills, the annual number of samples tested at specified critical control points during a 15-year period increased from ∼4400 to 10,000, while the proportion of Salmonella-contaminated samples decreased from 2.0% to 0.3%. Thus, introduction of HACCP was followed by a dramatic decrease, from 40 to <5, in the annual number of Salmonella-infected broiler flocks identified by preslaughter monitoring. Incidence has generally remained at that low level, despite production since 1980 increasing from 39 to 112 million chickens per year. Feed mills start using soymeal with an unsafe Salmonella status and possibly with a suboptimal HACCP control, increased their level of Salmonella-contaminated HACCP samples, and their feed subsequently infected 78 swine-producing herds. The results also show that the HACCP concept can be an effective tool to supply feed mills with Salmonella-safe feed ingredients as demonstrated for a soybean crushing plant, which produced Salmonella-safe soymeal over a 19-year period despite frequent (34%) and highly varied (92 different serovars) Salmonella contamination in samples from incoming soybean. Similar results are reported for a plant producing rapeseed meal. It is emphasized that the achievements described through use of the HACCP required interventions of relevant preventive biosecurity measures and corrective actions when the HACCP-based monitoring identified Salmonella contamination.

Recent advances in rare earth ion-doped upconversion nanomaterials: From design to their applications in food safety analysis.

The misuse of chemicals in agricultural systems and food production leads to an increase in contaminants in food, which ultimately has adverse effects on human health. This situation has prompted a demand for sophisticated detection technologies with rapid and sensitive features, as concerns over food safety and quality have grown around the globe. The rare earth ion-doped upconversion nanoparticle (UCNP)-based sensor has emerged as an innovative and promising approach for detecting and analyzing food contaminants due to its superior photophysical properties, including low autofluorescence background, deep penetration of light, low toxicity, and minimal photodamage to the biological samples. The aim of this review was to discuss an outline of the applications of UCNPs to detect contaminants in food matrices, with particular attention on the determination of heavy metals, pesticides, pathogenic bacteria, mycotoxins, and antibiotics. The review briefly discusses the mechanism of upconversion (UC) luminescence, the synthesis, modification, functionality of UCNPs, as well as the detection principles for the design of UC biosensors. Furthermore, because current UCNP research on food safety detection is still at an early stage, this review identifies several bottlenecks that must be overcome in UCNPs and discusses the future prospects for its application in the field of food analysis.

Comprehensive evaluation of abattoirs with no Hazard Analysis Critical Control Point plan in Tucumán, Argentina.

This work focused on the comprehensive study of two provincial transit abattoirs in Tucumán, Argentina, with no Hazard Analysis Critical Control Point (HACCP) plan. Visits (n=20) were conducted between 2016 and 2018 during the operational and post-operational processes. Risk was estimated and the bacteriological analysis of carcass and environmental samples was performed. Risk estimation showed the predominance of high risk in both abattoirs. The main deviations from the HACCP plan were: deficient building conditions, deficient workflow, lack of sectorization of changing rooms and bathrooms, lack of implementation of Standardized Sanitary Operational Procedures, and no food safety training of workers. The counts of indicator microorganisms from both abattoirs were not significant. Salmonella spp. was isolated from 7.5% carcass and 7.3% environmental samples. The Salmonella serovars identified were Cerro, Corvallis, Havana and Agona. Shiga toxin (stx) genes were detected in 24.4% carcass and 30.9% environmental samples. The isolates were characterized as Escherichia coli O8:H7/stx1, O116:H49/stx2 and O136:H40/stx2. Based on these results, it would be possible to implement an improvement plan in Tucumán abattoirs together with the local health authorities. Still, the need to work jointly with the sanitary authority in search of a unique sanitary standard for Argentina remains unaddressed.

A Novel Strategy Based on Permanent Protein Modifications Induced by Formaldehyde for Food Safety Analysis.

The illegal additions of chemicals in food products are serious incidents threatening current public safety. To date, ideal methods to determine permanent traces of prohibited chemicals in foods are still lacking. For example, formaldehyde (FA) can be added illegally as a food preservative. However, most current methods that are dependent on the direct detection of FA are not able to determine if FA has ever been added once food products are rinsed completely. Herein, we present a novel approach relying upon protein modifications induced by FA (PMIF) to examine FA in foods. We reveal the entire catalog of PMIFs in food products by combining mass spectrometry analysis with unrestrictive identification of protein modifications. Consequently, four obvious PMIFs were identified and confirmed as markers to discriminate the addition of FA in foods. Our study demonstrates that the approach based on PMIFs enables detecting the imprinted trace of FA even if the food products have been washed thoroughly. Our work presents a novel strategy for analysis of chemical additives, offering broad potential applications in protein analysis and food safety.

Upconversion luminescent nanomaterials: A promising new platform for food safety analysis.

Foodborne diseases have become a significant threat to public health worldwide. Development of analytical techniques that enable fast and accurate detection of foodborne pathogens is significant for food science and safety research. Assays based on lanthanide (Ln) ion-doped upconversion nanoparticles (UCNPs) show up as a cutting edge platform in biomedical fields because of the superior physicochemical features of UCNPs, including negligible autofluorescence, large signal-to-noise ratio, minimum photodamage to biological samples, high penetration depth, and attractive optical and chemical features. In recent decades, this novel and promising technology has been gradually introduced to food safety research. Herein, we have reviewed the recent progress of Ln3+-doped UCNPs in food safety research with emphasis on the following aspects: 1) the upconversion mechanism and detection principles; 2) the history of UCNPs development in analytical chemistry; 3) the in-depth state-of-the-art synthesis strategies, including synthesis protocols for UCNPs, luminescence, structure, morphology, and surface engineering; 4) applications of UCNPs in foodborne pathogens detection, including mycotoxins, heavy metal ions, pesticide residue, antibiotics, estrogen residue, and pathogenic bacteria; and 5) the challenging and future perspectives of using UCNPs in food safety research. Considering the diversity and complexity of the foodborne harmful substances, developing novel detections and quantification techniques and the rigorous investigations about the effect of the harmful substances on human health should be accelerated.

Investigating the influence of Food Safety Management Systems (FSMS) on microbial diversity of Canastra cheeses and their processing environments.

Canastra Cheese is one of the most commercialized artisanal cheeses in Brazil and intrinsic characteristics of its production, such as the use of raw milk and natural whey starter cultures as well short ripening time on wooden shelves, offer risk of contamination by a plethora of microorganisms. Here, we used 16 S rRNA gene amplicon sequencing approach to characterize the bacterial communities from Canastra cheese processing environments and final products, accessing cheesemaking facilities with distinct profiles of Food Safety Management Systems (FSMS), in order to estimate whether differences in microbial composition and diversity could also be observed between the two sampled groups of facilities. Our results revealed that the diversity of bacterial communities in the processing environments was much higher than that observed for cheeses, with greater discrepancy for facilities with inadequate FSMS. Additionally, in facilities with inadequate FSMS the bacterial communities from environments, especially hand surfaces and ripening wooden shelves, were similar to those during processing and finished cheese. These evidences highlight the importance of implementing and maintaining FSMS in the facilities, in order to assure quality and safety of Canastra cheese, but also the stability and economic viability of the Canastra cheese production chain.

Molecular subtyping of Salmonella spp. strains in provincial abattoirs with no hazard analysis critical control point from Buenos Aires, Argentina.

We subtyped 32 Salmonella enterica strains isolated from carcasses (n=10), the environment (n=14), head meat (n=1) and viscera washing and chilling water (n=7) in provincial abattoirs with no Hazard Analysis Critical Control Point (HACCP) system from Buenos Aires, Argentina, before and after implementing improvement actions. Pulsed-field gel electrophoresis (PFGE) was carried out using the XbaI restriction enzyme. Strains belonged to six serovars, from which 10 restriction patterns were obtained (five unique patterns and five clusters). We found different clones of S. enterica serovars in the same abattoir by XbaI-PFGE. In addition to promoting good hygiene practices, the implementation of an HACCP plan is necessary to meet the zero-tolerance criteria for Salmonella on beef.

Case analysis of kinetics investigations in toxicity studies of pesticides to identify the nonlinearity of internal exposure and the influences of nonlinearity on the toxicological interpretation of pesticide residue.

The nonlinearity of internal exposure to 8 pesticides was investigated in toxicity studies using kinetics to identify nonlinearity visually and to investigate the influence of nonlinearity on toxicological evaluation. Data were obtained from risk assessment reports published by the Food Safety Commission (FSCJ). Nonlinearity was defined using 2 indicators: the lowest visual inflection point (LVIP) and the second lowest visual inflection point (SVIP) of kinetics by drawing a linear distribution chart. The area under the curve and 24-h urine concentrations were stable parameters used to identify the LVIP/SVIP. The sampling timing affected the blood concentrations, and the LVIP/SVIP was detected for 6 pesticides using the parent compounds or their metabolites as analytes. The subproportional nonlinearity was significant for these pesticides. The LVIP/SVIP values were consistent in the same species up to a 1-year period, but the values showed species-specific differences in several compounds. In all compounds found to be nonlinear, apical outcomes were observed at the SVIP or above. The presence of nonlinearity was recognized by the FSCJ. The recognition influenced their judgment of no-observed-adverse-effect levels (NOAELs) for carcinogenicity or health-based guidance values, indicating the importance of appropriate kinetics to identify the nonlinearity for toxicological evaluation of pesticide residue.

The COVID University Challenge: A Hazard Analysis of Critical Control Points Assessment of the Return of Students to Higher Education Establishments.

The COVID-19 pandemic has disrupted economies and societies throughout the world since early 2020. Education is especially affected, with schools and universities widely closed for long periods. People under 25 years have the lowest risk of severe disease but their activities can be key to persistent ongoing community transmission. A challenge arose for how to provide education, including university level, without the activities of students increasing wider community SARS-CoV-2 infections. We used a Hazard Analysis of Critical Control Points (HACCP) framework to assess the risks associated with university student activity and recommend how to mitigate these risks. This tool appealed because it relies on multiagency collaboration and interdisciplinary expertise and yet is low cost, allowing rapid generation of evidence-based recommendations. We identified key critical control points associated with university student' activities, lifestyle, and interaction patterns both on-and-off campus. Unacceptable contact thresholds and the most up-to-date guidance were used to identify levels of risk for potential SARS-CoV-2 transmission, as well as recommendations based on existing research and emerging evidence for strategies that can reduce the risks of transmission. Employing the preventative measures we suggest can reduce the risks of SARS-CoV-2 transmission among and from university students. Reduction of infectious disease transmission in this demographic will reduce overall community transmission, lower demands on health services and reduce risk of harm to clinically vulnerable individuals while allowing vital education activity to continue. HACCP assessment proved a flexible tool for risk analysis in a specific setting in response to an emerging infectious disease threat. Systematic approaches to assessing hazards and risk critical control points (#HACCP) enable robust strategies for protecting students and staff in HE settings during #COVID19 pandemic.

High-Efficiency Machine Learning Method for Identifying Foodborne Disease Outbreaks and Confounding Factors.

The China National Center for Food Safety Risk Assessment (CFSA) uses the Foodborne Disease Monitoring and Reporting System (FDMRS) to monitor outbreaks of foodborne diseases across the country. However, there are problems of underreporting or erroneous reporting in FDMRS, which significantly increase the cost of related epidemic investigations. To solve this problem, we designed a model to identify suspected outbreaks from the data generated by the FDMRS of CFSA. In this study, machine learning models were used to fit the data. The recall rate and F1-score were used as evaluation metrics to compare the classification performance of each model. Feature importance and pathogenic factors were identified and analyzed using tree-based and gradient boosting models. Three real foodborne disease outbreaks were then used to evaluate the best performing model. Furthermore, the SHapley Additive exPlanation value was used to identify the effect of features. Among all machine learning classification models, the eXtreme Gradient Boosting (XGBoost) model achieved the best performance, with the highest recall rate and F1-score of 0.9699 and 0.9582, respectively. In terms of model validation, the model provides a correct judgment of real outbreaks. In the feature importance analysis with the XGBoost model, the health status of the other people with the same exposure has the highest weight, reaching 0.65. The machine learning model built in this study exhibits high accuracy in recognizing foodborne disease outbreaks, thus reducing the manual burden for medical staff. The model helped us identify the confounding factors of foodborne disease outbreaks. Attention should be paid not only to the health status of those with the same exposure but also to the similarity of the cases in time and space.

Application of Whole-Genome Sequencing in the National Molecular Tracing Network for Foodborne Disease Surveillance in China.

National Molecular Tracing Network for Foodborne Disease Surveillance (TraNet) was launched in 2013, which is the only real-time whole-genome sequencing (WGS)-based subtyping network in China for effective foodborne disease surveillance. TraNet covers three levels of public health laboratories, national, provincial, and municipal. The TraNet national databases have a total of more than 54,000 entries representing seven common foodborne bacteria from humans, food, and environments. Raw sequence data are uploaded to TraNet by Data Delivery Center. Assembled sequence data, pulsed-field gel electrophoresis (PFGE) profiles, antibiotic resistance patterns, and epidemiological data are submitted to national pathogen-specific databases managed by China National Center for Food Safety Risk Assessment. PFGE patterns and WGS-based subtyping are compared for rapid differentiation of clusters of geographically diverse foodborne infections. WGS-based TraNet has played significant roles in improving foodborne disease surveillance in China for rapid outbreak investigation, source tracking, and cluster analysis of particular pathogens across the country.

A review of Canadian and international food safety systems: Issues and recommendations for the future.

In January 2019, the Safe Food for Canadians Act/Safe Food for Canadians regulations (heretofore identified as SFCR) came into force across Canada and brought a more streamlined process to food safety practice in Canada. Food trade and production processes have evolved rapidly in recent decades, as Canada imports and exports food products; therefore it is critically important to remain aware of the latest advances responding to a range of challenges and opportunities in the food safety value chain. Looking through the optics of the recent SFCR framework, this paper places the spotlight on leading domestic and international research and practices to help strengthen food safety policies of the future. By shedding some light on new research, we also draw attention to international developments that are noteworthy, and place those in context as to how new Canadian food safety policy and regulation can be further advanced. The paper will benchmark Canada through a review study of food safety best practices by juxtaposing (i) stated aspirations with, (ii) actual performance in leading Organization for Economic Cooperation and Development (OECD) jurisdictions.

[Case Study:Identification of Microbial Distribution and Contamination Source by PDCA Cycle at a Boiled Noodles Factory].

Boiled noodles are considered to be one of the most perishable foods due to their high moisture content and high water activity. Thus, the hygiene control measures based on HACCP manuals has been recommended in the noodle manufacturing industry. However, there were several cases in which post-packaged products manufactured at the Boiled noodles factory of small-to-medium size company detected a viable cell count higher than their voluntary standards. To identify the source of microbial contamination, an investigation based on the Plan-Do-Check-Act (PDCA) cycle was conducted. The results showed that the bacteria causing the contamination were environmental bacteria. Secondary contamination occurred during the cooling process after sterilization. Airborne environmental bacteria and oxygen may have been introduced into the rinsing and cooling water tank by the strong water flow during the rinsing and cooling process, inducing growth of microorganisms in the cooling water and contaminating the final product. This is a new finding, as such occurrence was not listed in the HACCP manual and should be contributed to plan HACCP system.

[Construction status and development strategy of GAP bases for Chinese herbal medicine].

Good agricultural practices(GAP) for Chinese herbal medicine(CHM) is the source of quality control in the production of CHM. To ensure the safety, efficacy, and quality of Chinese herbal and natural medicine, the international community has been exploring the implementation of GAP for CHM. The implementation of GAP for CHM has a far-reaching impact, and the scale planting of CHM has been expanding. However, the medicinal materials produced by the GAP bases for CHM still cannot fully meet the market demand, and the output and quality of CHM remain to be improved. This paper summarizes construction status of GAP bases for CHM.The 129 companies that passed the certification during the implementation of GAP for CHM included 196 GAP bases, forming the scale CHM production zone with Sichuan province, Yunnan province, Jilin province, Henan province, and Shandong province as the core.The total area of GAP bases for CHM in China is about 250 000-500 000 Mu(1 Mu≈667 m2), which is still less than 1% of the total production area of CHM. The international agricultural production quality management strategies are all market-oriented behaviors.Drawing on the international good agricultural and collection practice(GACP) and hazard analysis critical control point(HACCP) as well as the relevant policies of Chinese quality management of CHM, we put forward feasible suggestions for the further implementation of GAP for CHM:(1)The market rules and international experience should be followed and employed to promote GAP management of CHM and third-party implementation of GAP certification;(2)The sound development of GAP for CHM should be boosted with the HACCP management system and the revision of GAP for CHM;(3)The implementation of policies and standards should be stepped up to facilitate the building of a whole-course traceability system for the production of CHM with high quality and reasonable prices.

A microbial challenge study for validating continuous radio-frequency assisted thermal processing pasteurization of egg white powder.

Spray dried egg white powder (EWP) is traditionally processed by hot room treatment for a prolonged period of time (67 °C for 15 days) to enhance its functionality (foaming and gelling) and to improve microbial safety of EWP. Our prior research demonstrated that radio-frequency (RF) assisted thermal processing can considerably reduce the processing time, without compromising the functional properties of EWP. In this study, continuous RF processing was evaluated for pasteurization of EWP. EWP samples were inoculated with a 5-strain Salmonella cocktail or Enterococcus faecium NRRL B-2354 for the microbial challenge studies. To evaluate the inoculation method, stability and homogeneity tests were conducted for both Salmonella and E. faecium in EWP. Continuous RF heating of EWP was conducted in a 6-kW, 27.12 MHz pilot-scale parallel-plate RF heating system. RF-assisted thermal processing of EWP at 80 °C for 2 h provided >6.69 log reduction for Salmonella. E. faecium was found to be a suitable surrogate for Salmonella due to its higher resistance and similar inactivation kinetics during RF heating of EWP. The validated RF-assisted thermal process can be scaled up for use in the egg industry.

[Application of traditional Chinese medicine(TCM) traceability system based on TCM quality characteristics and HACCP system].

It is crucial to establish a complete set of traditional Chinese medicine(TCM) quality traceability management process system, in order to stabilize the pricing order of TCM market and reconstruct the transmission path of TCM quality signals. In this study, we reviewed the mature experience of food and drug supervision at home and abroad, analyzed the quality characteristics of TCM, and put forward that the quality control of TCM products can learn from the hazard analysis and critical control point(HACCP) system in food safety quality control. This study points out that the HACCP system provides not only technical guidance for the traceability management of TCM, but also ideas for improving the quality of TCM products and the safety risk control of TCM. The application of the HACCP system in TCM quality control can help establish an international dialogue platform for TCM and help realize the modernization and internationalization of TCM industry.