How Real is Your Milk?

The African dairy market is on the rise. Southern Africa plays a crucial role in this growth, with milk consumption gradually increasing in the region. Milk is a staple food in this region and is consumed in various forms, including fresh, powdered, and condensed milk.

The growth of the African dairy market is driven by factors such as changing consumer preferences, increased demand, and local special circumstances. The International Finance Corporation (IFC) projects that the African dairy sector will continue to grow by 30% which is drawing attention from investors.

Milk: The essentials

Milk is a natural source of the fats, minerals, nutrients, micronutrients, and vitamins required for a balanced diet. It is also essential for the growth and development of babies and infants into early childhood. Either breast or infant formula milk is given to babies for at least the first six months of their lives, and between the ages of one and two years, whole milk and dairy products are recommended to ensure that babies receive essential vitamins they may not otherwise obtain from lower fat alternatives.

 

Preserving nutritional values, safety, and authenticity

Milk and its related products are tested for three main reasons within the food and beverage industry:

  1. Nutrition — ensuring the required nutritional value of milk is present in its products.
  2. Safety — confirming the absence of suspected harmful chemicals in milk.
  3. Authenticity — determining if milk products are adulterated and therefore compromised in any way.

By testing these three factors, consumers are more protected from mislabelled, fraudulent, and potentially contaminated milk products that may have reached the marketplace unregulated.

The importance of testing nutritional values of milk and infant formulas

Testing the nutritional values of milk is important so that consumers can make informed decisions about their purchases. Above all, manufacturers of specified products — such as infant formulas for example — must adhere to uncompromising nutritional values determined by regional, national, or international regulatory bodies.

To support consumers making these decisions about their milk and/or infant formula purchases, it is crucial for manufacturers to label their products accurately. In doing so, food testing labs may carry out experiments using HPLC, LC/MS/MS, and GC systems to accurately measure milk content for sugars, fats, vitamins, and amino acids.

Measuring the levels of vitamins as well as beneficial (and some essential) elements such as sodium, potassium, magnesium, calcium, selenium, phosphorus, manganese, and zinc, provides insightful nutritional information. It’s also important to monitor for potentially toxic elements such as arsenic, cadmium, tin, mercury, and lead in animal-derived milk as contamination could originate from animal feed, fertiliser, soil, or processing equipment.

In one study, the Agilent 5800 VDV ICP-OES system used with an SPS 4 autosampler determined calcium, copper, iron, potassium, magnesium, manganese, sodium, phosphorous, and zinc in milk powder and infant formula samples according to the ISO 15151 method. Results showed that the recoveries for all analytes with certified or reference values were within ±10% of the expected value, thus confirming its nutritional labelling.

Other experimental examples include the rapid analysis of major and trace elements in milk and milk products using an Agilent 7900 ICP-MS with optional Ultra High Matrix Introduction UHMI technology and Integrated Sample Introduction System (ISIS 3).

Agilent 5800 ICP-OES
Agilent 7900 ICP-MS

 

Examining the safety of milk

Foods of animal origins such as dairy milk go through additional scrutiny to detect levels of veterinary drugs. Without a sophisticated approach for testing dairy milk samples, analytical challenges are likely to arise due to the complexity of the matrix and the number of pharmaceutical analogues needed to monitor. Furthermore, the different legislative requirements of various countries require sample referencing that meets a wide variety of regulatory conditions.

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Another factor to consider when examining the safety of milk is the responsible use of pesticides within established limits in animal feeds from which dairy milk is extracted, and in other plant-based ingredients which may be added to other milk products. To validate this, LC/MS, GC/MS, and Q-TOF workflows offer food testing labs the solutions needed to accurately measure pesticide levels in milk samples.

Furthermore, food safety studies are routinely conducted to detect, quantify, and validate trace-level analysis of undesirable byproducts such as chlorate and perchlorate in store-bought milk and infant formulas. In one particular study, the Agilent 1290 Infinity II LC and Ultivo triple quadrupole LC/MS (LC/TQ) were utilised. Data from this experiment highlights accurate quantitation at one-tenth the level of the maximum residue level (MRL), which is 10 μg/kg in milk and infant formula as defined by the European Commission.

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Agilent 1290 Infinity II Online SPE System
Agilent Ultivo LC/MSMS

Exposing fraudulent milk to preserve its authenticity

Globally, milk continues to be one of the most adulterated food and beverage products on the market. For example, in 2008 the analysis of dairy milk powder from Minhe Hui County, China, revealed the contamination of melamine—an organic compound used to manufacture fertilisers and concrete—to be 500 times the maximum limit of melamine found in test samples at that time.

More recently in Southern Asia, the Punjab Food Authority seized almost 80,000 litres of milk to combat the adulteration of dairy products in the local metropolis. The milk was flagged due to the addition of urea and water.

In addition to deceiving consumers and manufacturing producers, food fraudsters can seriously affect the health outcomes of individuals. Fortunately, innovations in analytical instrumentation and testing methods are exposing these unlawful acts to reinstall consumer confidence by validating the authenticity and safety of products such as milk and infant formulas.

For example, the Agilent 8890 GC and the Agilent 5977B GC/MS single quadrupole mass spectrometer have been used to detect and quantify β-sitosterol in ghee (milk fat) samples to check for vegetable oil adulteration. The presence of β-sitosterol is associated with low quality and is a potential indicator of adulterated milk. Results showed that 2.24 ppm β-sitosterol was found in the ghee sample on which the study was performed.

Agilent 8890 GC

Both targeted and non-targeted approaches can be used to identify known compounds in milk and other food authenticity testing. The latter is beneficial if adulterants in milk are new or have not been previously identified by food testing labs. Non-targeted methods using quadrupole time-of-flight mass spectrometers, for example, create a chemical fingerprint of authentic foods, making it more difficult for food fraudsters to cheat the global food supply chain.

 

Forming partnerships to eliminate milk fraud

As milk sale projections are estimated to increase over the next few years, and with wider varieties of product choices in stores and online, it is important that companies like Chemetrix continue to work in partnership with its food testing customers to eliminate the threat of milk fraud while preserving its nutritional values, safety, and authenticity. Above all, manufacturers of milk products must adhere to multiple food regulations relating to quality and safety which are constantly being updated. Chemetrix is here to support our customers so that consumers of their products have confidence in their purchase choice for the nourishment of themselves and their families.

Parts of this article have been adapted from the original published by Agilent.

Revolutionising Nutrition: The Rise of Alternative Proteins

The food industry is experiencing a significant shift as alternative proteins rise in popularity. These non-animal-based foods, ingredients, and beverages, including plant-based, cell culture-based, and fermentation-based proteins, offer a new frontier in nutrition and sustainability. Designed to mimic the taste, texture, and nutritional profiles of traditional animal proteins, alternative proteins have come a long way from the mock meats of the past. The market for these products is booming, projected to surpass $290 billion by 2030, driven by their nutritional benefits, environmental sustainability, and potential to enhance food security.

Today, the industry for alternative proteins has technology on their side and are continuously turning to data and analysis to find solutions that will make these increasingly popular food items more appealing to a wider consumer base. And while meat or burgers grown in a lab does grab headlines, it’s a far cry from the products found in grocery stores that are more practical and cost-effective. Making better alternative protein products isn’t as easy as throwing lentils into the mix and scientific methods are helping to expand the alternative protein offerings in the mainstream market.

 

Passing taste tests with lab innovation

As the market for alternative proteins expands, rigorous testing becomes crucial. Ensuring the safety, composition, health benefits, and sustainability of these products is essential for maintaining consumer trust and industry growth. For many consumers, concerns about contaminants like veterinary drugs and hormones in meat products make alternative proteins a preferred choice, perceived as a healthier option. However, with rising demand and sometimes limited supply, food fraud becomes a significant challenge. Fraudsters may substitute expensive plant-based proteins with allergens like wheat or soya, or engage in other deceptive practices such as mislabelling and counterfeiting.

To address these challenges and meet consumer expectations in terms of the sensory experience, food developers are turning to advanced analytical tools. These tools are essential for overcoming the biggest hurdles to mainstream acceptance of alternative proteins: taste and texture.

By using sensitive instruments to analyse and optimise the flavour, aroma, and nutritional profiles of these products, food scientists can ensure they meet the high standards expected by consumers.

The process begins with sample preparation to remove unwanted interferences such as fats, chlorophyll, and pigments, allowing researchers to accurately compare the alternative proteins to their animal-based counterparts. Tools like liquid chromatography and mass spectrometry systems are then used to analyse food on a molecular level. Liquid chromatography provides detailed characterisation of stable components such as amino acids, vitamins, and lipids, while gas chromatography examines volatile compounds to engineer desired smells and tastes.

In addition to instrumental analysis, human taste testers play a crucial role in evaluating the palatability of food. Advanced instrumentation can complement this by objectively identifying the five basic tastes – sweet, salty, sour, bitter, and umami – in alternative proteins. This combined approach ensures a comprehensive assessment of flavour and texture, critical for consumer acceptance.

Ensuring a quality composition of alternative proteins

Agilent’s workflow solutions exemplify the robust testing needed in the alternative protein industry. These solutions validate the authenticity, nutritional information, and safety of alternative protein products. For instance, Agilent’s LC-Q-TOF-MS/MS technology has been used to investigate non-meat proteins and peptide markers in ready-to-cook beef burgers, while GC/MS-based metabolomics approaches differentiate the chemical profiles of plant-based meat alternatives from grass-fed ground beef.

Watch our webinar on Metabolomics Profiling of Meat and Plant-based Meats >

 

Agilent 5977 GC/MSD

 

Elemental analysis is another critical aspect of ensuring the quality of alternative proteins. During the production process, there is potential for elemental metals to contaminate the final products. Agilent’s atomic spectroscopy instruments, such as the 7850 inductively coupled plasma mass spectrometry (ICP-MS), enable the identification and quantification of these metal elements, ensuring product safety.

Agilent 7850 ICP-MS

 

The future of food relies heavily on advancing research into alternative proteins. Technologies such as ICP-MS, triple quadrupole (QQQ) liquid or gas chromatography-mass spectrometry (LC/GC/MS), and high-performance liquid chromatography (HPLC) are recommended for robust testing purposes. These tools not only support the development of safer, healthier, and more sustainable food options but also influence the global food supply chain.

 

Chemetrix has the expert knowledge and innovative solutions required by the food industry to advance the safety and innovative product development of alternative proteins. As the food and agriculture industry faces ever-increasing demands for more sensitive, productive analytical solutions, Chemetrix leads the industry with products and services to help you deliver what your customers demand. Our instruments, systems, and supplies are used throughout the food production chain, including incoming inspection, new product development, quality control and assurance, and packaging. Contact us to find out how our team can assist you.

 

AI Technology and the Lab of the Future

In 2022, Agilent announced its acquisition of advanced artificial intelligence (AI) technology developed by Virtual Control, an AI and machine learning software developer that creates innovative analysis solutions in lab testing. Agilent will integrate the software, known as ACIES, into its industry-leading gas chromatography and mass spectrometry (GS/MS) platforms to improve the productivity, efficiency and accuracy of high-throughput labs the company serves around the world.

ACIES automates the labour-intensive task of gas chromatography/mass spectrometry data analysis improving efficiency in the laboratory workflow, from sampling to reporting. Agilent will integrate the technology into its MassHunter software package for LC/MS and GC/MS instruments.

 

Digital labs

This move by Agilent signals that the digital age is very much here for laboratories. Science has always driven the world forward and now it will do the same for laboratories.

The lab of the future is a concept built on the foundation of digitalised labs. It encompasses smart technological workflow systems that are connected and capable of collecting vast amounts of data via integrated automation.

A digitalised lab should be considered a more advanced lab as it has more access to data. With data being key to transforming science, increasing amounts of data generated in any lab, let alone a digitally connected lab, could be a game-changer – but only if it’s collected and synthesised into information and knowledge that is useful.

The digital environment (i.e., paperless work in an electronic format) capitalises on digitalisation. It incorporates all of the necessary instrumentation for complete data analysis and enables the full value of the data for decision-making. The ability to monitor operations and provide more sophisticated insights is a core reason for introducing AI into the operational lab environment.

 

 

Transforming science

Artificial intelligence (AI) is often defined as the ability of a machine to learn how to solve cognitive challenges. However, in the context of scientific methodology and laboratory interconnectivity, AI is starting to be used for capturing data to model human observation and decision-making processes.

Taken forward, connecting all instruments in a lab via AI enables the opportunity for an even more astute understanding of the interactions between technology and also users, potentially providing an all-inclusive view of all laboratory operations.

Accessing this powerful source of information will become a necessary component of scientific productivity. This is an inevitable next step in creating lab management systems that are so efficient and provide knowledge that is so valuable that only AI will be able to produce them.

AI, coupled with universal sensing capabilities to detect and monitor a range of variables, e.g., an instrument’s power draw, enables companies to realise certain operational and financial benefits to their business and plan for the future. Through high-quality and readily available insights, AI enables the simultaneous monitoring of all equipment usage in the lab and holistic capacity tracking.

Watch our webinar on Industrialising High-Throughput Glycoproteomics Using AI for Clinical Use

 

Staying competitive in a competitive world

Globally, scientific innovation is accelerating, so labs need to consider the technology investments required to become digitally enabled in order to keep up and stay competitive. We live in a data-driven world, so scientific laboratories must fundamentally transform how they create, manage, and effectively use all the data that is generated in their lab ecosystem. Achieving and sustaining a competitive edge in a world of constant change will require the continual transformation of lab operations and scientific data management. This will be the first and most important step toward becoming a truly digitalised lab.

 

Standardising honey fingerprinting methods

Although previous work has been done developing case studies for fingerprinting foodstuffs, including honey, the approaches among laboratories have been different regarding sample preparation and instrumental conditions. There are also differences in terms of data processing and analysis. As a result, two laboratories analysing the same sample may obtain slightly different results. Ideally, developing a standardised fingerprinting method that could be used across all LC/MS-based workflows, enabling the same testing technique to be used across multiple laboratories, would be optimal and where future work is aimed.

Read our article on Fingerprinting Honey to Ensure Purity

When addressing the issues of food safety, product quality, and authenticity, each may be governed by separate sets of regulations. For example, looking at the residues of contaminants in honey, such as pesticides, there may be differences globally. Countries may have their restrictions for the maximum limit for specific compounds. Contaminants are a part of the picture when considering fingerprinting for honey, but permitted levels may vary between countries.

Additionally, as samples come from the field to the lab for testing, there is potential interest in reversing this and bringing the lab out into the field instead. This interesting but not yet recognised capability would enable regulators and the global food industry to respond more quickly to honey contamination and food fraud.

Step into the future, elevate your business and talk to our team of experts about how you can improve the productivity, efficiency and accuracy of your lab.

Vitamins & Amino Acids Analysis for Nutrition Labelling

The vitamins A, C, D, E, B6, B12, folate, and the minerals selenium, zinc, copper, and iron, are essential for normal immune function. Dietary supplements are highly in demand to boost immunity and prevent deficiencies in these nutrients. Dietary supplements and their raw materials are diverse, from an extract in a tablet to a tea packet, milk, or oil bottle in the kitchen. Producers and regulators ensure that active compounds are present in these supplements at the levels expected.

Geographic origin, freshness, and production-type can affect health benefits and also require testing. LC and GC methods focus on known compounds of importance with many outlined by reference bodies like IOC, ISO, FSSAI, and USP. Agilent Technologies is excited to be holding the Food Quality Analysis Program, in collaboration with FSSAI.

Join our webinars to learn about workflow solutions for analysis of nutritional parameters in food, through faster identification and detection at low levels.

 

Ansuman Mahato
Application Specialist LC
Agilent Technologies

 

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