Hyperspectral imaging (HSI) is now widely applied in research studies with the help of machine learning methods for detecting various components of different meat products. This review presents a fresh look at the current status of HSI research in both the scope and the applicability of HSI in meat quality evaluation. The future application scenarios of HSI in the supply chain and the future development of HSI hardware and software are also discussed.
In response to requests for information on emerging food security issues from our Members, the Food Authenticity Network Team has created a ‘Food Security Resource Base’ on our website, which signposts stakeholders to third party content on potential / actual disruption to the food and drink supply chain resulting from the current conflict in Ukraine.
A new environmentally friendly prototype sensor has been developed by CSIRO, Australia's national science agency, to help combat food-fraud and protect the reputation of Australian produce.
The novel technology uses vibration energy harvesting and machine learning to accurately detect anomalies in the transportation of products such as meat.
For example, if a refrigeration truck carrying exported meat stopped during its journey to the processing plant, the technology would be able to detect this and if any products had been moved or removed during this period.
This allows producers and logistics operators to pin-point handling errors and identify when products are stolen or substituted.
Milk and milk products play a vital role in diets around the globe. Due to their nutritional benefits there has been an increase in production and consumption over the past thirty years. For this growth to continue the safety and authenticity of dairy products needs to be maintained which is a huge area of concern. Throughout the process, from farm to processor, different sources of contamination (biological, chemical or physical) may occur either accidently or intentionally. Through online resources (the EU Rapid Alert System for Food and Feed (RASFF) and HorizonScan) safety and fraud data were collected from the past five years relating to milk and milk products. Cheese notifications were most frequently reported for both safety alerts (pathogenic micro-organisms) and fraud incidences (fraudulent documentation). Alongside the significant number of biological contaminations identified, chemical, physical and inadequate controls (in particular; foreign bodies, allergens, industrial contaminants and mycotoxins) were also found. Although the number of incidents were significantly smaller, these contaminants can still pose a significant risk to human health depending on their toxicity and exposure. Grey literature provided a summary of contamination and fraud issues from around the globe and shows its potential to be used alongside database resources for a holistic overview. In ensuring the integrity of milk during ever changing global factors (climate change, competition between food and feed and global pandemics) it is vital that safety and authenticity issues are continually monitored by industry, researchers and governing bodies.
Barbara Hirst, Food Safety and Quality Consultant, and Marta Ahijado, Head of Food R&D at RSSL, spoke with New Food Magazine about how the COVID-19 pandemic has affected supply chains, risk assessments and analytical testing.
The pandemic has changed how businesses operate enormously, including their ability to perform physical risk assessments on site, creating new challenges and uncertainty for manufacturers and retailers. For example, disruptions to supply chains can introduce the need for businesses to source new ingredients from new suppliers.
Read the full story on the New Food website to learn more from Barbara and Marta about how businesses are adapting to ensure their assessments are accurate.
The Institute of Supply Management (ISM), a US-based not-for-profit professional supply management organization, has updated its survey on global supply chain disruptions due to Covid. In the initial release of its survey, ISM found that 75% of respondents reported that their organisations had experienced supply chain disruption. In this update, research indicates that 97% of respondents believe that their organisation's supply chain will be affected by Covid-related disruptions. Respondents included those in the Food, Beverage and Tobacco sector.
The report also investigates impacts to lead times, manufacturing capabilities, inventory and others.
Today, amidst COVID-19 lockdown and growing pandemic, global food value chains stand disrupted across all commodities. Food safety has been a growing global concern that is only set to rise in this COVID world. It is in these times that it has become more imperative than ever, to ensure unadulterated and safe food across global food value chains.
Digitisation of such value chains towards making food safe, trackable and of desired consumer quality, needs to be accelerated and implemented at a much faster pace than ever.
SourceTrace is a globally leading name in traceability and has already implemented solutions across diverse sectors such as fruits and vegetables, organic cotton, vanilla, aquaculture, flavours and fragrances, spices, honey and more. Working across 28 countries since 2013, SourceTrace’s DATAGREEN platform helps companies track their produce from global locations across all stages while maintaining complete transparency and assurance of quality.
AgNext solves the problem of quality, bringing the best of the technology world for agribusinesses. Using state-of-art technologies in computer vision, spectroscopy and Internet-of-Things (IoT), AgNext has created the singular platform QUALIX, through which trade quality and safety parameters for multiple commodities could be assessed in a minute, enabling agribusinesses to leapfrog their procurement and operations processes, optimise costs, provide traceability, sharpen and smoothen blockchains and most importantly produce excellent products of highest quality for consumers and ensure fair-trade practices with farmers.
Helping businesses ensure the quality of food right from the farm-gates to the consumers, AgNext has partnered with key nodal institutions in multiple commodities and has also been working with leading corporates in each of the segments.
By combining their solutions and signing an MoU, AgNext and SourceTrace have created a technology platform, TraceNext, that can provide complete value chain traceability with an assurance of quality from the farm-gates to the consumer.
The benefits for such a platform as TraceNext, brings immense value to multiple commodity value chains, ensuring various aspects like
Trace food origin and chain of custody
Monitor ethical and sustainable practices used in growing food
Complete value chain traceability – from farm to consumer
Legal and compliance norms
Instant quality testing on trade and safety parameters
Instant trade decisions without any delays and dependencies
Ensure blockchain and fair-trade practices in commodity supply chains
Modern supply chains have evolved into highly complex value networks and turned into a vital source of competitive advantage. However, it has become increasingly challenging to verify the source of raw materials and maintain visibility of products and merchandise while they are moving through the value chain network.
The application of the Internet of Things (IoT) can help companies to observe, track, and monitor products, activities, and processes within their respective value chain networks. Other applications of IoT include product monitoring to optimize operations in warehousing‚ manufacturing, and transportation. In combination with IoT, Blockchain technology can enable a broad range of different application scenarios to enhance value chain transparency and to increase B2B trust. When combined, IoT and Blockchain technology have the potential to increase the effectiveness and efficiency of modern supply chains.
The contribution of this paper is twofold. First, we illustrate how the deployment of Blockchain technology in combination with IoT infrastructure can streamline and benefit modern supply chains and enhance value chain networks. Second, we derive six research propositions outlining how Blockchain technology can impact key features of the IoT (i.e., scalability, security, immutability and auditing, information flows, traceability and interoperability, quality) and thus lay the foundation for future research projects.
IFST has re-written its “Food authenticity testing” Information Statement and split it into two parts:
• Food authenticity testing part 1: The role of analysis, which now covers the role of analytical testing within the context of an overall supply chain assurance strategy.
Analytical testing is a valuable tool in the armoury to assure food authenticity but cannot be used to identify every type of food fraud. It is only one part of an overall strategy to mitigate fraud risk.
Many modern tests are based upon comparing a pattern of measured values in the test sample with patterns from a database of authentic samples. Interpretation is highly dependent on the robustness of the database, and whether it includes all possible authentic variables and sample types. This information may not be released by the laboratory. Interpretation of results is rarely clear-cut, and analytical results are often used to inform and target further investigation (such as unannounced audits or mass-balance checks) rather than for making a compliance decision.
This paper describes where testing can and cannot be used, and highlights generic issues relating to interpreting food authenticity testing results.
This paper describes the principles, different configurations, applications, strengths and limitations of some of the more common analytical techniques used in food authenticity testing: • Mass spectrometry • Stable isotope mass spectrometry • DNA analysis • Nuclear magnetic resonance spectrometry • Spectroscopy.
Generic strengths and limitations of food authenticity test methods, particularly those relating to methods comparing against reference databases of authentic samples, are discussed in “Food authenticity testing: The role of analysis”. It also describes the difference between targeted and untargeted analysis.
The ease of adulterating spices combined with the complexity of fraud detection makes the condiments highly vulnerable to fraud, a scientific study has found.
Published in the journal Food Control, the research examined fraud vulnerabilities of eight companies in the spices supply chain using the SSAFE food fraud vulnerability assessment tool, which comprises 50 indicators categorised in opportunities, motivations, and control measures to provide a fraud vulnerability profile.
To meet growing consumer demands, our food chain has become global, dynamic, heterogeneous, and more complex in nature. Foods once considered exotic or seasonal are now available year-round in developed markets. Consumer demands extend to food products that have credence claims such as sustainably sourced, fair-trade, non-GMO, organic, vegan, vegetarian, and more. But how can consumers verify these credence claims and be protected from food fraud? The need for greater supply chain transparency to increase consumer trust in safe, nutritious and authentic foods has never been more profound. Yet, globalisation of the supply chain is not the primary reason for food fraud, which exists within sovereign nations and may be rampant within free trade zones. The question is whether current laws and regulations are adequate to protect consumers, or whether they create an environment of “blind trust” where food fraud can flourish.
This short paper reviews food traceability in food supply chain. There are four parts in this paper, including driving factors for food traceability, challenges behind the implementation of food traceability systems, techniques applied for food traceability and application of food traceability systems.