Assessment of HACCP plans in standardized food safety management systems – The case of small-sized Polish food businesses

Assessment of HACCP plans and Colombian regulations in municipal cattle slaughterhouses for the assurance of standardised food safety and quality management systems

Colombia has strengthened regulations to ensure standardized food safety and quality in bovine slaughterhouses. To this end, the Ministry of Health and Social Protection designed to empower INVIMA, as the governing and coordinating authority for the operation of the Official Meat Inspection, Surveillance and Control System. This regulation aims to evaluate the technical conditions of infrastructures, slaughter processes and quality and safety assurance systems. in the rationalization of public animal slaughtering facilities (PASFs). This study aims to promote easy-to-implement methodological practices to improve health and safety compliance in 47 cattle slaughterhouses. Sanitary profiles were designed based on the HACCP system and in accordance with Colombian regulations. Scores were established for the infrastructure, sanitary and environmental characteristics of the PASFs through the application of the Leopold Matrix as a monitoring system. The results indicate 32 % of slaughterhouses comply with minimum requirements, with significant deficiencies in equipment and waste management systems. There was evidence of scarce equipment, in addition, they do not have an efficient quality and safety management system to ensure the slaughter processes. Multivariate analysis revealed that 70-90 % of slaughterhouses fail to meet minimum standards established by Decree 1500 of 2007 and its modifications. It was shown that this methodology allows the establishment of a model for monitoring, follow-up, and assessment of compliance with the minimum requirements of HACCP plans and local regulations.

Generic Food Safety Assessment: A Framework to Evaluate Food Safety Hazards Emerging from Change(s) in the Primary Production System - A Case Study Involving Intercropping

Food safety is a shared responsibility of all actors along the food supply chain. Changes in the primary production system can affect food safety hazards along the supply chain. This highlights the need for a framework that enables primary producers (i.e., farmers) to assess the potential food safety hazards and, if needed, to apply control measures. This paper presents a generic food safety assessment (GFSA) framework that has been developed based on Hazard Analysis and Critical Control Point (HACCP). The proposed framework was applied to a case study, i.e., the transition from sole cropping of oats to intercropping of oats with lupins. The application of the GFSA framework enabled the evaluation of potential changes in food safety hazards from this transition and the establishment of appropriate control measures. In addition, GFSA users can employ the results to support decision-making process. Our case study showed that implementing GFSA can be challenging for smallholder or individual farmers and may need coordinated action. Finally, effective and transparent communication is critical for managing food safety along the food supply chain, including when changes are implemented in primary production.

The application of systematic accident analysis tools to investigate food safety incidents

Effective food safety (FS) management relies on the understanding of the factors that contribute to FS incidents (FSIs) and the means for their mitigation and control. This review aims to explore the application of systematic accident analysis tools to both design FS management systems (FSMSs) as well as to investigate FSI to identify contributive and causative factors associated with FSI and the means for their elimination or control. The study has compared and contrasted the diverse characteristics of linear, epidemiological, and systematic accident analysis tools and hazard analysis critical control point (HACCP) and the types and depth of qualitative and quantitative analysis they promote. Systematic accident analysis tools, such as the Accident Map Model, the Functional Resonance Accident Model, or the Systems Theoretical Accident Model and Processes, are flexible systematic approaches to analyzing FSI within a socio-technical food system which is complex and continually evolving. They can be applied at organizational, supply chain, or wider food system levels. As with the application of HACCP principles, the process is time-consuming and requires skilled users to achieve the level of systematic analysis required to ensure effective validation and verification of FSMS and revalidation and reverification following an FSI. Effective revalidation and reverification are essential to prevent recurrent FSI and to inform new practices and processes for emergent FS concerns and the means for their control.

An analytical overview of the composition and characteristics of China's food safety standards

This paper discusses the framework of China's food safety standards and provides a brief overview of the problems and developmental characteristics of food safety in China. The composition and characteristics of China's food safety standards are revealed by an analysis of the changes in China's general food standards, an overview of the characteristics of the hygiene requirements in the production and operation process, and an introduction to food product and test method standards. In conclusion, Chinese food safety standards are still being improved, but they must also be effectively implemented and followed up in real time in order to continuously improve the quality of food and reduce food safety incidents. © 2024 Society of Chemical Industry.

Surface Environment and Energy Density Effects on the Detection and Disinfection of Microorganisms Using a Portable Instrument

Real-time detection and disinfection of foodborne pathogens are important for preventing foodborne outbreaks and for maintaining a safe environment for consumers. There are numerous methods for the disinfection of hazardous organisms, including heat treatment, chemical reaction, filtration, and irradiation. This report evaluated a portable instrument to validate its simultaneous detection and disinfection capability in typical laboratory situations. In this challenging study, three gram-negative and two gram-positive microorganisms were used. For the detection of contamination, inoculations of various concentrations were dispensed on three different surface types to estimate the performance for minimum-detectable cell concentration. Inoculations higher than 10³~10⁴ CFU/mm² and 0.15 mm of detectable contaminant size were estimated to generate a sufficient level of fluorescence signal. The evaluation of disinfection efficacy was conducted on three distinct types of surfaces, with the energy density of UVC light (275-nm) ranging from 4.5 to 22.5 mJ/cm² and the exposure time varying from 1 to 5 s. The study determined the optimal energy dose for each of the microorganisms species. In addition, surface characteristics may also be an important factor that results in different inactivation efficacy. These results demonstrate that the proposed portable device could serve as an in-field detection and disinfection unit in various environments, and provide a more efficient and user-friendly way of performing disinfection on large surface areas.

Nanomaterial-Based Fluorescent Biosensor for Food Safety Analysis

Food safety issues have become a major threat to public health and have garnered considerable attention. Rapid and effective detection methods are crucial for ensuring food safety. Recently, nanostructured fluorescent materials have shown considerable potential for monitoring the quality and safety of food because of their fascinating optical characteristics at the nanoscale. In this review, we first introduce biomaterials and nanomaterials for food safety analysis. Subsequently, we perform a comprehensive analysis of food safety using fluorescent biosensors based on nanomaterials, including mycotoxins, heavy metals, antibiotics, pesticide residues, foodborne pathogens, and illegal additives. Finally, we provide new insights and discuss future approaches for the development of food safety detection, with the aim of improving fluorescence detection methods for the practical application of nanomaterials to ensure food safety and protect human health.

Design of an IOTA Tangle-Based Intelligent Food Safety Service Platform for Bubble Tea

Many food safety incidents have occurred in the world in the past 20 years, causing major threats and harm to human life and health. Each country or region has established different food safety management systems (FSMSs) in response, to increase food safety and to reduce food safety risks. Hence, it is important to develop an FSMS service platform with convenience, consistency, effectiveness, scalability, and lightweight computing. The aim of this study is to design and propose an IOTA Tangle-based intelligent food safety service platform for bubble tea—called IF4BT—which modularizes and integrates hazard analysis and critical control point (HACCP) principles to increase data transparency. The deep learning inference engine is based on long short-term memory and Siamese networks to check and extract significant rare data of high-risk factors, exception factors, and noises, depending on daily check and audit. IF4BT can ensure the correctness of the information of food manufacturers, so as to increase food safety and to reduce food safety issues such as allergen cross-contamination, food expiration, food defense, and food fraud.

Specific Hygiene Procedures and Practices Assessment: A Cross-Sectional Study in Fresh Fishery Product Retailers of Lisbon's Traditional Food Markets

This study aimed to assess the compliance of specific hand hygiene and food contact surfaces hygiene in fresh fishery product retailers (FFPR) and its relation to socio-demographic characteristics that might influence the observed procedures and practices. A cross-sectional study was conducted in traditional food markets’ FFPRs (N = 74) using interviews and audits for data collection purposes. Results revealed that women were overrepresented among FFPR managers; most were over 50 years of age and had a long working experience in fish retail activities, despite a low educational level. The majority had attended training courses in food hygiene, safety, and Hazard Analysis and Critical Control Points-based procedures. Both documental assessment and hand hygiene procedures and practices verification revealed a low level of compliance. Many documents supporting hygiene practices were lacking. Several non-conforming requisites were identified related to the handwashing procedure and equipment and to glove wearing practices. A higher level of compliance was obtained in food contact surfaces hygiene procedures and practices verification, with complete hygiene procedures applied and proper cleaning of utensils and chemical products management in several cases. These findings reflect an ambiguous understanding and misconceptions related to hygiene procedures and practices, suggesting the need to improve and update FFPR food handler training regarding basic food hygiene and safety.

Classification of organic and ordinary kiwifruit by chemometrics analysis of elemental fingerprint and stable isotopic ratios

Elemental fingerprint, stable isotopic analysis, and chemometrics were combined to identify organic kiwifruit from ordinarily cultivated kiwifruit. Samples of organic (n1 = 78) and ordinary kiwifruit (n2 = 85) were collected from neighboring areas. For elemental fingerprint, the contents of 15 elements in fresh fruits, including Al, Cr, Mg, Pb, Zn, Ca, Cu, Mn, Se, Cd, Fe, Na, Sr, Co, and K, were determined by inductively coupled plasma optical emission spectrometry (ICP-OES). Three stable isotopes, including δ¹³ C, δ¹⁵ N, and δ¹⁸ O, were analyzed using an isotope-ratio mass spectrometer (IRMS). Different classification methods including soft independent modeling of class analogy (SIMCA), partial least squares discriminant analysis (PLSDA), and least squares support vector machines (LS-SVM), were used to discriminate the organic and ordinary kiwifruits by fusion of elemental and stable isotopic. As a result, the sensitivity, specificity, and overall accuracy of SIMCA model were 0.885, 0.857, and 0.864, respectively. PLSDA and LS-SVM obtained 0.950 and 0.983 classification accuracy of organic and ordinary kiwifruits, respectively. It was demonstrated that elemental fingerprint and stable isotopic analysis would provide useful chemical information for the identification of organic fruits, and the capacity of these methods could be enhanced by chemometrics. PRACTICAL APPLICATION: The classification of kiwifruit usually relies on the label assigned by the merchant, which is prone to deceive consumers. This research has developed an accurate and effective classification method based on stable isotopes and mineral elements for the identification of ordinary kiwifruit and organic kiwifruit, providing a tool for the quality monitoring of organic food.

Factors influencing successful hazard analysis and critical control point (HACCP) implementation in hypermarket stores

Purpose

In Taiwan, hypermarket stores should implement hazard analysis and critical control point (HACCP) according to regulations. The aim of this study was to investigate key factors influencing successful implementation of HACCP in hypermarket stores that prepare hot meals.

Design/methodology/approach

We used a survey design and thus posted four questionnaires to each of the 136 hypermarket stores in Taiwan (two questionnaires for employees and two for managers). Therefore, a total of 544 questionnaires were posted, and 188 responses were received, yielding a 34.6% response rate.

Findings

Food safety knowledge, teamwork, perceived cost, perceived benefit and leadership were tested. Binary logistic regression results indicated that food safety knowledge and teamwork were key factors related to successful HACCP implementation. Perceived cost, perceived benefit and leadership were not related to successful HACCP implementation. Control variables, such as number of full-time employees and number of products sold, were discovered to be related to successful HACCP implementation.

Originality/value

Overall, the findings of this study can help the hypermarket industry assess its current quality management practices and focus on food safety performance improvement.

Statistical quality control in the food industry: a risk-based approach

Purpose

Quantitative metrics should be used as a risk management option whenever possible. This work proposes a framework for the risk quantification and the resulting risk-based design of control charts to monitor quality control points.

Design/methodology/approach

Two quality control models were considered for the risk quantification analysis. Estimated operating characteristic curves, expressing the defect rate (on a ppm basis) as a function of the sample size, process disturbance magnitude and process capacity, were devised to evaluate the maximum rate of defective product of the processes. The proposed framework applicability on monitoring critical control points in Hazard Analysis and Critical Control Point (HACCP) systems was further evaluated by Monte Carlo simulations.

Findings

Results demonstrate that the proposed monitoring systems can be tuned to achieve an admissible failure risk, conveniently expressed as the number of non-conforming items produced per million products, and these risks can be properly communicated. This risk-based approach can be used to validate critical control point monitoring procedures in HACCP plans. The expected rates of non-conforming items sent out to clients estimated through stochastic simulation procedures agree well with theoretical predictions.

Practical implications

The procedures outlined in this study may be used to establish the statistical validity of monitoring systems that uses control charts. The intrinsic risks of these control systems can be assessed and communicated properly in order to demonstrate the effectiveness of quality control procedures to auditing third parties.

Originality/value

This study provides advancements toward practical directives for the implementation of statistical process control in the food industry. The proposed framework allows the assessment and communication of intrinsic failure risks of quality monitoring systems. It may contribute to the establishment of risk-based thinking in the constitution of quality management systems.