Application and validation of the TTI based chill chain management system SMAS (Safety Monitoring and Assurance System) on shelf life optimization of vacuum packed chilled tuna

The objective of the study was to establish a validated kinetic model for growth of spoilage bacteria on vacuum packed tuna slices in the temperature range of 0 to 15 degrees C and to evaluate the applicability of the TTI (Time Temperature Integrators) based SMAS (Safety Monitoring and Assurance System) system to improve tuna product quality at the time of consumption in comparison to the conventional First In First Out (FIFO) approach. The overall measurements of total flora and lactic acid bacteria (LAB) on the tuna samples used in a laboratory simulated field test were in close agreement with the predictions of the developed kinetic model. The spoilage profile of the TTI bearing products, handled with SMAS, was improved. Three out of the thirty products that were handled randomly, according to the FIFO approach, were already spoiled at the time of consumption (logN(LAB)>6.5) compared to no spoiled products when handled with the SMAS approach.     

Development and assessment of an intelligent shelf life decision system for quality optimization of the food chill chain.

The principles of application of a Shelf Life Decision System (SLDS) for the optimization of the distribution of chilled fresh and minimally processed food products are developed. The SLDS integrates predictive kinetic models of food spoilage, data on initial quality from rapid techniques, and the capacity to continuously monitor temperature history of the food product with Time Temperature Integrators (TTIs) into an effective chill chain management tool that leads to an improved narrow distribution of quality at consumption time, effectively reducing the probability of products consumed past shelf life end. The applicability and effectiveness of the SLDS is demonstrated and evaluated based on actual food spoilage and TTI kinetics and chill chain data employing the Monte Carlo simulation method.     

Time-temperature profiles of chilled ready-to-eat foods in school catering and probabilistic analysis of Listeria monocytogenes growth

The purpose of this study was to evaluate the chill chain in school catering by monitoring time-temperature profiles. Chilled ready-to-eat foods have been chosen as subject of this study because of their high risk due to their production, storage and distribution steps, separated in time, followed by consumption without any further thermal treatment. In order to integrate the effects of storage duration and storage temperature, a quantitative criterion, namely "TTE" or "Time-Temperature Equivalent", was proposed. To illustrate the sanitary consequences of the recorded thermal history, Listeria monocytogenes growth was predicted based on reference growth curves in chilled ready-to-eat food products. The study of five centralised kitchens and 11 school-lunch canteens demonstrated in general a satisfactory maintenance of the chill chain. However, the coincidence of extended storage duration (due to weekends) and temperature abuse was observed and could lead to a significant microbial development.     

Is Food Safety Compatible with Food Waste Prevention and Sustainability of the Food Chain?

In a context where the sustainability of food chains and food waste prevention are subjects of interest for public authorities and professionals, it is important to assess if these new objectives of food policy are compatible with food safety. The objective of this work was to develop a global model for a ready-to-eat meat product that provides three different outputs, i.e. energy consumption, percentage of spoiled products and exposure levels of Listeria monocytogenes. First a cold chain model was developed. The cold chain model was then coupled with (i) predictive microbiology models and (ii) energy consumption models for cold equipments. Various scenarios were tested for assessing the consequences of potential changes in cold chain equipment on safety, food waste and energy cost. This global approach could help policy makers in decision making.     

Field evaluation of the application of time temperature integrators for monitoring fish quality in the chill chain

The applicability of time temperature integrators (TTI) as effective tools of chill chain monitoring was assessed. Validated kinetic models of pseudomonads growth of Mediterranean, marine-cultured chilled gilt-head seabream (Sparus aurata) and full knowledge of the response of suitable enzymatic TTI are the basis of the TTI application algorithm. This scheme was evaluated through a controlled field test of exported fish, from harvest to final consumption. Response of TTI attached on different locations of packages was compared to actual temperature recording. Data that could not be obtained during the actual field test, such as microbiological or sensory tests of fish at intermediate points of the chain, were measured in a replicate laboratory study, simulating the handling of products and the real time-temperature profiles of the field test. The conducted field tests showed the applicability and usefulness of TTI monitoring of the fish chill chain, elucidating also the practical difficulties and limitations, that need to be addressed for expanding TTI use as a reliable management tool.     

农药残留急性膳食风险评估研究进展

农药残留急性膳食风险评估直到最近才引起大家的关注。目前,JMPR研究国际范围农药急性膳食风险评估;美国、英国、荷兰、澳大利亚和新西兰也开始进行国家农药急性膳食风险评估。农药残留急性膳食风险是急性或短期接触毒性与农药残留急性膳食摄入量的函数。急性膳食风险评估包括设定急性毒性参考剂量、急性膳食摄入量评定和急性膳食风险描述。急性毒性参考剂量是根据现有的认知水平,在24h或少于24h的期间,人体摄入的食品或水中某物质对消费者不产生可察觉的健康危险的量,单位为毫克/公斤体重(mg/kgbw)。急性膳食接触量评估常用的方法有:定点或确定性方法和概率模型法。在确定性方法中选取食物的大部分人群消耗量和高残留量来计算膳食摄入量,为了解决混合样品中食品个体之间的残留差异,在计算中引入了变异因子。概率模型法是将食品中农药残留分布曲线与膳食摄入食品分布曲线进行整合得到农药膳食摄入量的分布曲线。目前最常用的是蒙特卡洛分析法。使用该方法需要收集个体在每天或每顿饭的食品膳食消耗数据和田间残留试验、市场残留检测数据以及关于加工、削皮、清洗、烹饪等行为对农药残留影响的研究数据。我国应该尽快建立健全膳食结构和农产品性状数据库,建立健全市场中农产品的农药残留数据库,并在高毒和中等毒性农药登记前,进行急性膳食风险评估,提高农药膳食摄入的安全性。首先应采用JMPR的确定性方法,然后再开发适合我国使用的概率模型法。     

SMAS/木质素磺酸钠接枝共聚物的制备及表征

以甲基丙烯磺酸钠(SMAS)与木素磺酸钠为原料,合成了新型表面活性剂,探讨SMAS用量、引发剂用量、反应时间、反应温度对接枝聚合反应的影响。通过红外(FT-IR)对其结构进行表征;通过凝胶渗透色谱(GPC)测定了其分子量以及分子量分布的变化;通过扫描电镜(SEM)对接枝聚合产物的外观形貌做出了分析。结果表明:SMAS与木质素磺酸钠接枝聚合成功;产物分子量50000的分子明显变少,而分子量50000的分子数目显著增多;产物的外观形貌发生了变化,产生了一些小突起。     

冷鲜肉中致病菌定量风险评估研究进展

随着生鲜畜禽产品消费需求的增加,食源性致病菌在冷鲜肉加工、贮藏和消费过程中的存在与消长规律及其消费者健康的影响逐渐进入公众视野,其引发的食品安全风险逐渐受到重视。微生物定量风险评估（quantitative microbialriskassessment,QMRA）是此类食品安全风险分析的核心,为冷鲜肉加工过程中危害分析与关键控制点、食品安全目标与法规的制定提供了理论依据。我国自《食品安全法》颁布、食品安全风险评估中心成立以来,QMRA工作已取得一定进展。本文对近年来在畜禽肉制品中已开展的常见的食源性致病菌的定量风险评估进行归纳,并对过程风险模型、模块化过程风险模型与组学技术在QMRA中的研究进展进行综述,总结了QMRA在生鲜肉食品安全管理中的应用现状,以期为冷鲜肉中的致病菌定量风险评估发展应用提供参考。     

Near-infrared techniques for fraud detection in dairy products: A review

The dairy products sector is an important part of the food industry, and their consumption is expected to grow in the next 10 years. Therefore, the authentication of these products in a faster and precise way is required for the sake of public health. This review proposes the use of near-infrared techniques for the detection of food fraud in dairy products as they are faster, nondestructive, environmentally friendly, do not require sample preparation, and allow multiconstituent analysis. First, we have described frequent forms of food fraud in dairy products and the application of traditional techniques for their detection, highlighting gaps and counterproductive characteristics for the actual global food chain, as longer sample preparation time and use of reagents. Then, the application of near-infrared spectroscopy and hyperspectral imaging for the detection of food fraud mainly in cheese, butter, and yogurt are described. As these techniques depend on model development, the coverage of different dairy products by the literature will promote the identification of food fraud in a faster and reliable way.     

Computational Shelf-Life Dating: Complex Systems Approaches to Food Quality and Safety

Shelf-life is defined as the time that a product is acceptable and meets the consumers expectations regarding food quality. It is the result of the conjunction of all services in production, distribution, and consumption. Shelf-life dating is one of the most difficult tasks in food engineering. Market pressure has lead to the implementation of shelf-life by sensory analyses, which may not reflect the full quality spectra. Moreover, traditional methods for shelf-life dating and small-scale distribution chain tests cannot reproduce in a laboratory the real conditions of storage, distribution, and consumption on food quality. Today, food engineers are facing the challenges to monitor, diagnose, and control the quality and safety of food products. The advent of nanotechnology, multivariate sensors, information systems, and complex systems will revolutionize the way we manage, distribute, and consume foods. The informed consumer demands foods, under the legal standards, at low cost, high standards of nutritional, sensory, and health benefits. To accommodate the new paradigms, we herein present a critical review of shelf-life dating approaches with special emphasis in computational systems and future trends on complex systems methodologies applied to the prediction of food quality and safety.     

Risk assessment of Belgian adults for furan contamination through the food chain

Risk assessment is an interdisciplinary process used to quantify the risk linked to a hazard. In the present paper it is applied to quantify the risk linked to furan ingestion through the food chain for the Belgian adult population. Two approaches, deterministic and probabilistic, were carried out in parallel. The deterministic method relied on a case study, whereas the probabilistic approach involved statistical distributions of contamination and consumption data to calculate a statistical distribution of the daily intake. First, the deterministic method revealed a low estimated daily intake (EDI) for the average population (380?ng*(kg(bw)*day)?1) and a huge contribution of coffee consumption to the EDI (55%). Increasing or decreasing the daily coffee consumption by one cup can affect the EDI by about 22%. Afterwards, the probabilistic approach showed that the average population has a low EDI (494?ng*(kg(bw)*day)?1), and that high contamination levels were only registered in a small proportion of the population. Finally, a comparison of the RfD(chronic oral) showed that less than 10% of the Belgian population had an EDI above the reference dose proposed by the USEPA; the majority of the population had an EDI 20% below the reference dose. The margin of exposure (MoE) approach indicated that the level of risk related to furan intake through ingestion is low, with a MoE?>?10,000 for more than 10% of the population and no result?相似文献   

Risk assessment of Belgian adults for furan contamination through the food chain

Risk assessment is an interdisciplinary process used to quantify the risk linked to a hazard. In the present paper it is applied to quantify the risk linked to furan ingestion through the food chain for the Belgian adult population. Two approaches, deterministic and probabilistic, were carried out in parallel. The deterministic method relied on a case study, whereas the probabilistic approach involved statistical distributions of contamination and consumption data to calculate a statistical distribution of the daily intake. First, the deterministic method revealed a low estimated daily intake (EDI) for the average population (380?ng*(kg_bw*day)^–1) and a huge contribution of coffee consumption to the EDI (55%). Increasing or decreasing the daily coffee consumption by one cup can affect the EDI by about 22%. Afterwards, the probabilistic approach showed that the average population has a low EDI (494?ng*(kg_bw*day)^?1), and that high contamination levels were only registered in a small proportion of the population. Finally, a comparison of the RfD_{chronic oral} showed that less than 10% of the Belgian population had an EDI above the reference dose proposed by the USEPA; the majority of the population had an EDI 20% below the reference dose. The margin of exposure (MoE) approach indicated that the level of risk related to furan intake through ingestion is low, with a MoE?>?10,000 for more than 10% of the population and no result?<?100.     

Antifungal Activity of Basil Essential Oil (Ocimum basilicum L.): Evaluation In Vitro and on an Italian-type Sausage Surface

This study aimed to evaluate the antifungal activity of basil essential oil in vitro and on the surface of an Italian-type sausage. This is justified by the relevance of obtaining safety and functional products, with emphasis on the use of natural additives and on the lack found in the literature related to the control of the fungi on the surface of food products. The results can be considered important since no significant differences were observed in the product's taste using different oil concentrations, viabilizing the technical application of this natural compound on the maturation chambers at the industrial scale. Similar behaviors were observed in the in vitro and on the product surface evaluation, validating the methodology used in plate. A previous evaluation of the results reveals that the basil essential oil seems to be a promising option as an antifungal compound, making possible its use as substitute for chemical additives.     

A semiquantitative approach for evaluating safety assurance levels for Salmonella spp. throughout a food production chain

Various safety assurance measures are implemented in Switzerland throughout the food production chain to prevent foods of animal origin from being contaminated with Salmonella. The data that are generated from the implementation of these measures are dispersed and heterogeneous. This hinders a general overview and makes a comprehensive national evaluation of the safety assurance level difficult. A semiquantitative method that considers the quality and relevance of the various safety assurance measures for Salmonella spp. was developed. The method uses the data generated from the implementation of safety assurance measures on a national basis (gathered by interviewing stakeholders in the production step). By assembling and analyzing the data systematically, the safety assurance level for Salmonella spp. can be evaluated at every step of the food production chain. This method allows the detection of strengths and weaknesses of the safety system. The systematic evaluation procedures permit comparisons between production steps and product categories. The method was used for evaluating the safety assurance levels throughout the production chain of eggs and egg products in Switzerland. Results of the analysis showed that the overall safety assurance levels for Salmonella spp. at all production steps for eggs and egg products were good. The relatively straightforward implementation of the method made it particularly appropriate in the context of a preliminary evaluation. The method does not have the same high level of detail that is provided by microbial quantitative risk assessments, but it allows an analyst to provide meaningful results when the large amount of data required for a quantitative approach are not present while including the entire "farm to fork" continuum. It may be used as a basis for more in-depth assessments of food safety levels within various production sectors. The method could be adapted for evaluating the safety assurance for other zoonotic foodborne pathogens of interest, such as Campylobacter spp.     

Good nutritional practice from producer to consumer

Today we manage food safety through good practices at different levels of food production, distribution, and consumption. The paper analyses current good practices, parameters involved in the food safety circle along the food supply chain, and consumer dilemmas. As a result of the current situation the new approach called "Good Nutritional Practice" (GNP) is proposed to balance the food safety systems. It is shown how important it is to integrate actual the food safety solutions within GNP, which includes consumers, and is based on a model that covers subsystems from other relevant good practices (nine good practices along the food supply chain). It has been shown that present maintenance of food safety in the food supply chain can be easily broken down, because of the different kinds of barriers or a simple misunderstanding among stakeholders including consumers.     

Plenary lecture: innovative modeling approaches applicable to risk assessments

Proper identification of safe and unsafe food at the processing plant is important for maximizing the public health benefit of food by ensuring both its consumption and safety. Risk assessment is a holistic approach to food safety that consists of four steps: 1) hazard identification; 2) exposure assessment; 3) hazard characterization; and 4) risk characterization. Risk assessments are modeled by mapping the risk pathway as a series of unit operations and associated pathogen events and then using probability distributions and a random sampling method to simulate the rare, random, variable and uncertain nature of pathogen events in the risk pathway. To model pathogen events, a rare event modeling approach is used that links a discrete distribution for incidence of the pathogen event with a continuous distribution for extent of the pathogen event. When applied to risk assessment, rare event modeling leads to the conclusion that the most highly contaminated food at the processing plant does not necessarily pose the highest risk to public health because of differences in post-processing risk factors among distribution channels and consumer populations. Predictive microbiology models for individual pathogen events can be integrated with risk assessment models using the rare event modeling method.     

Food safety practices among pregnant women and mothers in the women, infants, and children program, Miami, Florida

Pregnant women and infants are two groups at the highest risk of severe outcomes from foodborne illnesses. We surveyed adult clients of a Women, Infants, and Children (WIC) clinic serving predominately African Americans in inner-city Miami, Florida, to assess food safety practices. Eligible and consenting women completed a 23-item self-administered survey with questions concerning food handling practices around the Partnership for Food Safety Education's Fight BAC! campaign constructs of "clean", "separate" (not cross-contaminated), "cook", and "chill". Of 342 eligible clients, 299 (87.4%) consented to participate. In general, the clients' food safety practices were most problematic in the cook and chill constructs. Using a cooking thermometer, refrigerating foods within 2 h, and thawing them safely were the least commonly reported safe practices. Women who were pregnant with their first child had the lowest food safety practice scores. Of the 62 pregnant participants, 32 (51.6%) reported eating hot dogs or deli meats without first reheating them some of the time or more often, and 22 (35.5%) reported eating soft cheeses and blue-veined cheeses some of the time or more often, putting the women at risk of listeriosis. Although all women in the WIC program could benefit from food safety education, these findings indicate that women during their first pregnancy should especially be targeted for food safety education.     

我国水产品质量安全监管技术新动向

近年来,我国水产品消费量不断增加,水产品供应链愈加复杂,一些新技术在水产品生产中应用的同时伴随着新的风险产生,非传统食品安全问题也日益凸显。由此,水产品质量安全监管面临着更大的挑战。目前,我国的水产品安全性虽然已经达到可控的状态,质量检测与控制技术也获得了长足进步,但新兴问题的出现促使新型水产品质量安全监管技术的发展。本文依据近年来国内外相关研究报道,对水产品风险监测、原料溯源、危害控制、产品召回以及突发事件的应急评估5方面的新型监管技术进行综述,为水产品监管部门提供技术支撑,并为确保水产品质量安全提供参考。     

食品行业全方位实施HACCP体系——建立与实施初探

<正> 国家的“十五”计划中,仍一如既往的将农业放在首位,强调农业作为国民经济基础的重要性,并要在21世纪的第一个5年加快农业产业化和可持续发展的步伐。农业产业化就是把企业的管理运行机制和企业的质量意以运用到农业生产中,使个体农民的行为规范到某种联合体的统一运作中,这也就是所谓的企业加农户,形成农工贸一体化、产加销一条龙的格局。