Food Provenance Research Articles

A Multi-Isotopic Chemometric Approach for Tracing Hazelnut Origins.

High-value products, such as hazelnuts, are particularly vulnerable to fraud due to their price dependence on geographical origin. Guaranteeing hazelnuts' authenticity is essential for consumer trust and safety. Stable isotope analysis has become a reference method for origin authentication as it is reliable, robust, and easily transferable across laboratories. However, multiple isotopic markers coupled with chemometric techniques are often needed to authenticate food provenance accurately. In this study, we focused on assessing the potential of bulk δ18O, along with δ2H and δ13C of the main fatty acids, as hazelnut-origin authenticity markers. PLS-DA classification models were developed to differentiate samples (n = 207) according to their region of origin. This multi-isotopic approach provided promising external validation results, achieving a 94% global correct classification rate in discriminating hazelnuts from regions with distinct geographical and environmental conditions. This study lays the groundwork for further model development and evaluation across additional production areas and harvest years.

Rapid headspace analysis of commercial spearmint and peppermint teas using volatile 'fingerprints' and an electronic nose.

Spearmint and peppermint teas are widely consumed around the world for their flavor and therapeutic properties. Dynamic headspace sampling (HS) coupled to gas chromatography/mass spectrometry (GC-MS) with principal component analysis (PCA) of 'fingerprint' volatile profiles were used to investigate 27 spearmint and peppermint teas. Additionally, comparisons between mint teas were undertaken with an electronic nose (enose). Twenty compounds, all previously known in the literature, were identified using HS-GC-MS. PCA found distinct differences between the fingerprint volatile profiles of spearmint, peppermint and spearmint/peppermint combination teas. HS-GC-MS analysis performed with an achiral column allowed faster processing time and yielded tighter clustering of PCA tea groups than the analysis which used a chiral column. Two spearmint outliers were detected. One showed a high degree of variation in volatile composition and a second wholly overlapped with the peppermint PCA grouping. Enose analysis separated all treatments with no overlaps. Characterizing the volatile fingerprints of mint teas is critical to quality control for this valuable agricultural product. The results of this study show that fingerprint volatile profiles and enose analysis of mint teas are distinctive and could be used to rapidly identify unknown samples. With specific volatile profiles identified for each tea, samples could be tested in the laboratory, or potentially on a farm or along the supply chain, to confirm the provenance and authenticity of mint food or beverage commodities. © 2024 Society of Chemical Industry. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Food provenance assurance and willingness to pay for blockchain data security: A case of Australian consumers

Blockchain technology has properties that improve supply chain transparency, traceability, and accountability, but how important are these security features to the consumer? This study investigates, consumers' willingness to choose and pay a premium for blockchain-certified food products. The major findings of this study are that consumers show positive receptiveness towards blockchain and disfavour unethical food production methods revealing sustainability consciousness guiding their consumption. We find that females place a greater value on food transparency and product labelling verification and are more willing to pay a premium. In addition, the results have important marketing implications according to our choice modeling findings.

Dancing with foxes: More‐than‐human design in ‘the chicken city’

AbstractUrban chicken‐keeping is on the rise in London, in private gardens, community gardens, allotments, schools, and urban farm projects. In welcoming chickens into the city, urban spaces are being transformed: coops are being built, runs constructed, chicken‐friendly flora introduced, and space landscaped to accommodate both chickens and humans. Underneath the design of these multispecies urban spaces, there is a desire to bring the good life into the city, through a return to nature. Chicken‐keeping is being lauded by urban keepers and commentators alike as a response to urban crises over food provenance and quality, environmental ethics, and a growing unease with industrial agriculture. However, after chickens arrive in these urban spaces, it becomes quickly apparent that the design of the urban barnyard imposed by the human is rarely practical for, or enjoyed by, chickens: perfectly laid lawns are torn up, plants are demolished, and vegetable patches are gorged on, and chickens are at the mercy of local foxes. When chickens enter these urban barnyards, they demand humans pay attention to their desires, behaviours, and territoriality by overflowing and expanding their assigned space. As such, designing the urban barnyard is an ongoing spatio‐temporal iterative process between chickens, humans, and other non‐human actors in the more‐than‐human city. In this paper, using the case of the urban chicken, I argue that more‐than‐human (urban) geographies can find generative collaborations with design thinking in theorising human–environmental relationalities.

The potential for blockchain to improve small-scale agri-food business’ supply chain resilience: a systematic review

PurposeWe conducted a systematic review to explore the potential for the application of blockchain technologies for supply chain resilience in a small-scale agri-food business context.Design/methodology/approachAs part of the research methodology, scientific databases such as Web of Science, Google Scholar and Scopus were used to find relevant articles for this review.FindingsThe systematic review of articles (n = 57) found that the use of blockchain technology in the small-scale agri-food business sector can reduce the risk of food fraud by assuring the provenance of food products.Research limitations/implicationsOnly a few papers were directly from a small-scale agribusiness context. Key challenges that limit the implementation of blockchain and other distributed ledger technologies include concerns over the disclosure of proprietary information and trade secrets, incomplete or inaccurate information, economic and technical difficulties, low levels of trust in the technology, risk of human error and poor governance of process-related issues.Originality/valueThe application of blockchain technology ensures that the risks and costs associated with non-compliance, product recalls and product loss are reduced. Improved communication and information sharing can increase resilience and better support provenance claims and traceability. Better customer relationships can be built, increasing supply chain efficiency and resilience.

Comparison of Carbon Isotope Ratio Measurement of the Vanillin Methoxy Group by GC-IRMS and 13C-qNMR.

Site-specific carbon isotope ratio measurements by quantitative 13C NMR (13C-qNMR), Orbitrap-MS, and GC-IRMS offer a new dimension to conventional bulk carbon isotope ratio measurements used in food provenance, forensics, and a number of other applications. While the site-specific measurements of carbon isotope ratios in vanillin by 13C-qNMR or Orbitrap-MS are powerful new tools in food analysis, there are a limited number of studies regarding the validity of these measurement results. Here we present carbon site-specific measurements of vanillin by GC-IRMS and 13C-qNMR for methoxy carbon. Carbon isotope delta (δ13C) values obtained by these different measurement approaches demonstrate remarkable agreement; in five vanillin samples whose bulk δ13C values ranged from -31‰ to -26‰, their δ13C values of the methoxy carbon ranged from -62.4‰ to -30.6‰, yet the difference between the results of the two analytical approaches was within ±0.6‰. While the GC-IRMS approach afforded up to 9-fold lower uncertainties and required 100-fold less sample compared to the 13C-qNMR, the 13C-qNMR is able to assign δ13C values to all carbon atoms in the molecule, not just the cleavable methoxy group.

Research-by-Design in Complex Systems: Reflections on Approaches Used to Reimagine Environmentally Sustainable, High-Welfare Poultry Housing Futures

Despite projected global rises in chicken consumption, growing environmental and welfare challenges threaten the future of commercial poultry production. Though some of these challenges, such as biosecurity, sourcing, pollution, and waste, have been thoroughly researched, the open-ended, complex, and interrelated nature of the sector means that it is difficult for poultry producers to know how to change. Design may offer a new way to analyse and reframe these challenges, to speculate on a range of different solutions for these complex systems of production. This paper reflects on the research-by-design methods applied to reimagine environmentally sustainable, high-welfare poultry housing futures. The paper is based on an eighteen-month long, multidisciplinary research project with a large U.K.-based poultry farming integrator, a poultry house ventilation and equipment supplier, and academic partners with expertise in research-by-design and bird welfare. After contextualising challenges faced by the poultry sector, the paper outlines a three-step, iterative approach within which design methods were applied, beginning with (1) a baseline analysis of farm inputs, outputs, actors, and networks, and then (2) a consolidation of themes and scenarios, leading to the development of (3) a compendium of ideas for the future of poultry farming. The Results section presents three design propositions, each imagining different futures by recreating the farm as a system of “closed-loop” flows, reframing the “chicken as client” and challenging current centralised models of production to connect consumers to food provenance and impact. These propositions function as vehicles to test design methods, such as designing for resource flows challenging actor hierarchies and hacking stakeholder networks. While some interesting ideas are presented, the paper highlights the complexity of the challenge and reflects on the value of design to reframe these challenges to collaboratively foster new perspectives and mindsets.

A qualitative peptide biomarker approach to identify piscine gelatine in products to support food security

Due to allergy concerns, it is mandatory under EU law to declare in food products all ingredients derived from fish. Gelatine is prepared from the waste collagen of animal carcasses, including piscine, bovine and porcine materials, and is an ingredient in a wide range of foods. The Elliott Review into the integrity and assurance of food supply networks highlighted requirements for analytical surveillance methods to support due diligence, food safety and authenticity. We present the development of a method to extract gelatine from foods and determine the presence of piscine gelatine by liquid chromatography-tandem mass spectrometry using a suite of sixteen piscine marker peptides. The method has been successfully applied to gelatine granules, capsules and composite retail food products. While a study is required to determine parameters including the limit of detection of this method, the data indicate the method is reproducible between replicates of sub-samples and applies to a range of piscine gelatines collected over 16 years. Once validation studies are complete, there is potential for enforcement officers to apply the technology to verify the authenticity of fish products to support consumers in ensuring food safety and also food provenance relating to animal origin.

In the garden with Lefebvre and Foucault: The cultivation of taste in spaces of food

Research on the conventional food system and alternative food networks has evolved largely in isolation from each other. This paper aims to narrow this gap by using a common theoretical framework to disclose the properties of spaces produced by both types of food systems. The theoretical tools used are Lefebvre’s spatial dialectic and Foucauldian analysis of discipline and governmentality. The results indicate constitutive differences in the nature of both types of spaces: while the conventional food system produces standardized relations and spaces, taking away attention from the food itself to other aspects of its sale and supressing knowledge about food provenance and ways of preparation, the diverse spaces of non-market production are shaped around the quality and “taste” of food. This means that the way out of the crisis-laden conventional food system may lead not only through frugality but also through the cultivation of “taste”, that is, the human interest to eat good food, whose taste includes the knowledge of ecological and social relations and cultures producing the spaces of food.

Factors influencing the adoption of sustainable agricultural practices: the case of seven horticultural farms in the United Kingdom

ABSTRACT The production of fruits and vegetables is expected to increase in the United Kingdom (UK) as a response to increasing consumers’ demand, coupled with impacts of Brexit on the imports from the European Union (EU). Retailers and consumers are more aware of the environmental impact and provenance of food and are demanding to their suppliers to implement sustainable agricultural practices. Seven horticultural farmers and farm managers across the UK were interviewed to investigate the implementation of sustainable practices, and the motivations and enablers for adoption, as well as perceptions on sustainability and climate change. Factors influencing adoption mainly were efficiency and cost reduction, regulations, and market demand, even though, environmental, and social consciousness also played a role in adoption. There was little evidence that participation in knowledge networks or the perception of climate change and impacts, and of carbon footprint assessments influenced the adoption of sustainable agricultural practices, but this finding deserves further investigation. Farmers’ awareness of the importance of soil was clear and governments should encourage farmers’ involvement in the monitoring of soil health, as a mean of engaging them in the wider discussion about the implementation of sustainable land management, including climate change adaptation and mitigation.

Doubtful Guests, Harassed Hosts, and the Golden Rule

Doubtful Guests, Harassed Hosts, and the Golden Rule

Review: L’unique et le véritable: Réputation, origine et marchés alimentaires (vers 1680–vers 1830), by Philippe Meyzie

Review: <i>L’unique et le véritable: Réputation, origine et marchés alimentaires (vers 1680–vers 1830)</i>, by Philippe Meyzie

Enhancing Food Supply Chain Security through the Use of Blockchain and TinyML

Food safety is a fundamental right in modern societies. One of the most pressing problems nowadays is the provenance of food and food-related products that citizens consume, mainly due to several food scares and the globalization of food markets, which has resulted in food supply chains that extend beyond nations or even continent boundaries. Food supply networks are characterized by high complexity and a lack of openness. There is a critical requirement for applying novel techniques to verify and authenticate the origin, quality parameters, and transfer/storage details associated with food. This study portrays an end-to-end approach to enhance the security of the food supply chain and thus increase the trustfulness of the food industry. The system aims at increasing the transparency of food supply chain monitoring systems through securing all components that those consist of. A universal information monitoring scheme based on blockchain technology ensures the integrity of collected data, a self-sovereign identity approach for all supply chain actors ensures the minimization of single points of failure, and finally, a security mechanism, that is based on the use of TinyML’s nascent technology, is embedded in monitoring devices to mitigate a significant portion of malicious behavior from actors in the supply chain.

An Exploration of Nutritional Education within the Holiday Activities and Food Programme in England.

Nutritional education is a recent, mandatory inclusion within the quality standards framework for the Holiday Activities and Food (HAF) programme in England; funded by the Department for Education (DfE). Whilst research has been conducted regarding nutritional education in other contexts, such as schools and community organisations, to the authors’ knowledge, no published research has yet explored nutritional education within HAF. The current study therefore aimed to explore the implementation, delivery, and perceived facilitators, barriers and impacts of nutritional education across a number of Local Authorities delivering HAF in England. Purposive sampling (n = 11) was used to recruit HAF leads involved in nutritional education, to participate in semi-structured interviews. Thematic analysis showed that nutritional education is currently delivered through a variety of modes including face-to-face, online, and take-home methods, all of which require a range of considerations in terms of implementation, delivery, and associated impacts, with some holiday clubs offering no nutritional education. According to participating HAF leads, nutritional education was used as a mechanism to enhance children’s and parents’ cooking confidence and competence, to improve dietary intake, and to increase understanding of issues such as food sustainability, environmental impacts, and food provenance. Although there are many examples of innovative practice, the findings suggested that COVID guidelines proved challenging for providers to include nutritional education within HAF delivery during 2021. Further, whilst the quality standards framework for nutritional education provides flexibility in terms of implementation and delivery, specific guidance, and monitoring of provision is required to ensure quality assurance and consistency across the HAF programme.

Intrinsic value of food chain data

Intrinsic value of food chain data

Does Traceability Lead to Food Authentication? A Systematic Review from A European Perspective

ABSTRACT Food safety and quality concern increasingly both consumers and the entire food sector involved. The European Union has implemented specific legislation for food products in order to monitor food safety and quality, protecting each country’s culture, history and local economy at the same time. Moreover, Europe’s heritage is being enriched, by establishing quality schemes such as Protected Designation of Origin (PDO) and Protected Geographical Indication (PGI). Europe’s interest and concern regarding food safety proved also by Framework Program 5 Horizon 2020 continuous funding.Food traceability as well as food authentication constitute inseparable parts of food safety and quality. This systematic review presents innovative research technologies which are used in Europe for food traceability and authentication and published within the period 2010–2018. Moreover, information about the method used, the country of origin, the food type and the level of food process, are provided.This paper offers a new possible approach regarding the combination of the existing definitions of food traceability and authentication, as far as food provenance is concerned.

COVID-19 as an Opportunity for a Healthy-Sustainable Food Transition. An Analysis of Dietary Transformations during the First Italian Lockdown

The COVID-19 emergency and the consequent social distancing requirements have caused major disruptions in daily food-related practices at the household level. In this paper, we evaluate the transformations that occurred in the daily nutritional choices and behaviors of a convenience sample (n = 2288) of Italian residents during the first nation-wide lockdown (March–May 2020) to assess the impact on the health and socio-environmental sustainability of their diets. Results portray a scenario of wide-spread change, especially in relation to the quantity of daily food consumed, the composition of diets and the time and commitment devoted to home-cooking, with young individuals emerging as the most impacted generational cohort. Through the construction of an indicator for healthy–sustainable transition (HST index), we demonstrate that such changes unfold on a gradient, revealing that while for many respondents lockdown nutrition implied overeating and weight gain, a substantial segment of the population conversely improved the healthiness and sustainability of their daily nutritional patterns. In this sense, improvements are associated with young age, socio-economic status, frequency and enjoyment of cooking-from-scratch and, more generally, an attentive attitude towards the quality, provenance and materiality of food that, in turn, the COVID-19 crisis appears to have re-kindled. We conclude by highlighting five areas of institutional intervention (i.e., young people, time, tools, food supply at work, and local food chains) on which to focus in order to ensure the current crisis does not represent a missed opportunity for creating the necessary conditions for sustainable food production and consumption to take hold as the ‘new’ normal in the post-pandemic era.

Spatial Fingerprinting: Horizontal Fusion of Multi-Dimensional Bio-Tracers as Solution to Global Food Provenance Problems.

Building the capacity of efficiently determining the provenance of food products represents a crucial step towards the sustainability of the global food system. Despite species specific empirical examples of multi-tracer approaches to provenance, the precise benefit and efficacy of multi-tracers remains poorly understood. Here we show why, and when, data fusion of bio-tracers is an extremely powerful technique for geographical provenance discrimination. Specifically, we show using extensive simulations how, and under what conditions, geographical relationships between bio-tracers (e.g., spatial covariance) can act like a spatial fingerprint, in many naturally occurring applications likely allowing rapid identification with limited data. To highlight the theory, we outline several statistic methodologies, including artificial intelligence, and apply these methodologies as a proof of concept to a limited data set of 90 individuals of highly mobile Sockeye salmon that originate from 3 different areas. Using 17 measured bio-tracers, we demonstrate that increasing combined bio-tracers results in stronger discriminatory power. We argue such applications likely even work for such highly mobile and critical fisheries as tuna.

Rapid Evaporative Ionization Mass Spectrometry: A Review on Its Application to the Red Meat Industry with an Australian Context.

The red meat supply chain is a complex network transferring product from producers to consumers in a safe and secure way. There can be times when fragmentation can arise within the supply chain, which could be exploited. This risk needs reduction so that meat products enter the market with the desired attributes. Rapid Evaporative Ionisation Mass Spectrometry (REIMS) is a novel ambient mass spectrometry technique originally developed for rapid and accurate classification of biological tissue which is now being considered for use in a range of additional applications. It has subsequently shown promise for a range of food provenance, quality and safety applications with its ability to conduct ex vivo and in situ analysis. These are regarded as critical characteristics for technologies which can enable real-time decision making in meat processing plants and more broadly throughout the sector. This review presents an overview of the REIMS technology, and its application to the areas of provenance, quality and safety to the red meat industry, particularly in an Australian context.

Identifying soil provenance based on portable X-ray fluorescence measurements using similarity and inverse-mapping approaches – A case in the Lower Hunter Valley, Australia

There is a growing interest in the use of soil composition as a form of evidence in food provenance, forensics, biosecurity, and archaeology. Given a soil sample of unknown origin, we should like to know the likely geographical source of that material. In this study, we investigated whether data provided from a rapid and non-destructive sensor can be used to identify the provenance of a soil sample. A portable X-ray fluorescence (pXRF) spectrometer was used to measure the elemental abundance of 0–10 cm soil samples from a part of the Lower Hunter Valley, NSW, Australia (an area of 328 km2). Three methods, namely, two similarity methods (points of similarity and regions of similarity) based on distances to the unlocated specimen in the principal component (PC) space of the geochemical data, and an artificial neural network (ANN) method, effectively an inverse digital soil mapping (DSM) approach, which predicts location from the set of geochemical variables, were tested to determine the provenance of soil samples. In the PC approach, digital soil maps of the PC scores of eight major elements and two elemental ratios were created. The locations predicted by the PC approach seemed to follow the pattern of topography. In the ANN approach, the geographical coordinates (Eastings and Northings) of a sample were predicted simultaneously using the elemental concentrations and ratios. Using maps of elemental concentration classes (regions of similarity based on PC) provided a mean RMSE of 8.6 km for the 147 validation samples. The different effects of identification of geographical locations were compared using a 95% spatial confidence interval of prediction on a validation dataset. The points of similarity based on PC approach showed that the predicted search areas can capture 59% of the true locations of the test data. Meanwhile, the ANN approach can capture 69% of the true locations of the data. The mean RMSE for ANN prediction (2.8 km) was smaller than that for points of similarity prediction (4.3 km). Both soil provenancing approaches are potentially useful in identifying geographical areas of origin or similarity.