The Intelligent Lab: How AI and Advanced Metabolomics are Redefining Scientific Discovery

The pace of scientific discovery is no longer governed solely by the physical limits of manual experimentation. We are currently witnessing a shift that is as transformative as the invention of the microscope itself. Artificial Intelligence (AI) and advanced metabolomics are reshaping how science is conducted, moving research from a “trial-and-error” model to a predictive, data-driven discipline. By combining high-resolution analytical hardware with machine learning, laboratories can now solve complex biological challenges – such as developing animal-free culture media – with unprecedented speed.

The complexity of the modern workflow

In the fast-evolving landscape of biopharmaceuticals and cell biology, the reliance on traditional methods often leads to significant hurdles. For decades, the industry has relied on fetal bovine serum (FBS) to supplement cell culture media, despite its high costs, ethical concerns, and inherent inconsistency.

Many lab teams find themselves buried under mountains of raw data from complex matrices, struggling to identify which specific molecular components actually drive performance.

When dealing with undefined raw ingredients, such as plant and microbial extracts, understanding chemical composition is critical to ensuring batch-to-batch reproducibility and process continuity when scaling.

From raw peaks to actionable insights

The challenge in modern labs isn’t a lack of data; it is the complexity of interpreting high-dimensional datasets. Manual analysis of thousands of formulations is no longer feasible. As regulatory requirements for biologics become more stringent, the demand for defined, reproducible, and regulatory-compliant media has grown.

Advanced metabolomics provides the molecular profiling required to qualify raw materials, while AI handles the broad combinatorial screening. This synergy allows researchers to tailor media composition to specific cell lines, improving yield and efficiency across the drug development lifecycle.

Optimising media with LC/Q-TOF

To solve the media development challenge, Chemetrix supports the implementation of untargeted metabolomic workflows. By utilising the Agilent 6545 LC/Q-TOF, labs can perform detailed molecular characterisation of both raw materials and finished formulations.

How Chemetrix assists:

Our specialists help your team establish metabolomic workflows that provide detailed molecular information for R&D. We assist in identifying “critical component targets” – biomarkers of performance – that become your QC benchmarks. By linking these molecular features to cellular outcomes, we help you replace inconsistent serums with precise, scalable,
animal-free alternatives.

Agilent 6545 LC/Q-TOF

Predictive productivity

Efficiency in the modern lab is increasingly driven by smart automation. The Agilent Infinity III LC Series is designed to address the operational risks that lead to downtime and lost samples through integrated AI-powered solutions.

How Chemetrix assists:

Chemetrix provides the technical expertise to integrate these platforms into your existing regulatory-ready environment. The Infinity III offers predictive analytics and real-time alerts to pre-empt operational failures. We assist in configuring these advanced informatics platforms so that your lab can handle complex workflows with greater precision. This shift to an automated, AI-enabled system allows your staff to focus on high-value data interpretation rather than routine manual monitoring.

Compressing development from years to months

The shift toward AI-guided development marks a new paradigm in biological optimisation. By continuously training algorithms with high-quality experimental data, each project makes the platform more intelligent. This iterative process has the power to compress development cycles that once took years into just a few months. When molecular characterisation is linked directly to cellular performance, the result is a more resilient supply chain and a faster time-to-market for novel therapies.

Optimising the path to discovery

The integration of AI and separation science is no longer a luxury; it is the foundation for the next generation of bioprocess innovation. At Chemetrix, we provide the local application expertise and technical support required to navigate these digital transformations.


Your action plan

Identify a workflow in your lab that currently relies on undefined ingredients or manual screening. Contact a Chemetrix specialist today for a workflow audit. We will help you leverage advanced metabolomics and AI-powered instrumentation to ensure your processes are reproducible, compliant, and ready for the future of biomanufacturing.

PFAS in South Africa: Should We Be Worried?

Imagine a chemical so persistent that it resists breaking down in the environment, earning it the nickname “forever chemical.” Per- and polyfluoroalkyl substances (PFAS) are just that—synthetic compounds found in everyday items like non-stick cookware, waterproof clothing, and firefighting foams. While their durability made them industrial favourites, this same resilience has led to widespread environmental contamination. In South Africa, the presence of PFAS in water sources is becoming an increasing concern, prompting questions about their impact on health and the environment.

Unpacking the PFAS puzzle

PFAS have been linked to various health issues, including hormonal disruptions, immune system effects, and certain cancers. Their ability to accumulate in the human body and the environment makes them particularly worrisome. In South Africa, studies have detected PFAS in water sources, raising alarms about potential exposure. However, detecting and analysing these compounds is no simple task. Their chemical stability and low concentrations in environmental samples pose significant challenges for laboratories, necessitating advanced analytical techniques and instruments.

 

 

 

The analytical challenge of PFAS detection

Traditional analytical methods often fall short when it comes to detecting the vast array of PFAS compounds, especially at trace levels. Non-targeted analysis (NTA) and suspect screening have emerged as crucial approaches, allowing scientists to identify both known and unknown PFAS compounds in various matrices. However, these methods require high-resolution mass spectrometry and sophisticated data analysis capabilities. In South Africa, the adoption of such advanced techniques is still in its nascent stages, highlighting the need for enhanced laboratory infrastructure and expertise to effectively monitor and manage PFAS contamination.

 

 

Enhanced detection

The Agilent Ultivo LC/MS system offers a compact yet powerful solution for PFAS analysis. Designed for high-throughput laboratories, it combines sensitivity and robustness, making it ideal for detecting low levels of PFAS in complex environmental samples.

 

Key benefits:

  • Compact Design: Saves valuable laboratory space without compromising performance.
  • High Sensitivity: Detects trace levels of PFAS, ensuring accurate quantification.ScienceDirect
  • Robust Performance: Handles complex matrices with minimal maintenance requirements.
  • User-Friendly Interface: Simplifies operation and data analysis, reducing training time.

 

Chemetrix provides comprehensive support for the Ultivo LC/MS, including installation, training, and maintenance services, ensuring laboratories can maximise the instrument’s capabilities.

 

Comprehensive analysis

For laboratories seeking advanced capabilities, the Agilent 6546 LC/Q-TOF system offers high-resolution mass spectrometry for both targeted and non-targeted PFAS analysis. Its accurate mass measurements and fast acquisition rates enable the identification of a wide range of PFAS compounds, including emerging contaminants.

 

Key benefits:

  • High-Resolution Detection: Accurately identifies and quantifies known and unknown PFAS compounds.
  • Fast Acquisition Rates: Enhances throughput, allowing for the analysis of more samples in less time.
  • Advanced Data Analysis: Facilitates complex data interpretation with integrated software tools.
  • Versatility: Suitable for various applications, from environmental monitoring to product safety assessments.

 

Chemetrix offers expert guidance and technical support to integrate the 6546 LC/Q-TOF into laboratory workflows, ensuring optimal performance and data quality.

 

Building a safer future

By adopting advanced analytical instruments like the Agilent Ultivo LC/MS and 6546 LC/Q-TOF, South African laboratories can significantly enhance their PFAS detection capabilities. These tools not only improve the accuracy and efficiency of analyses but also empower scientists to better understand and mitigate the risks associated with PFAS contamination. With Chemetrix as a trusted partner, laboratories gain access to cutting-edge technology and dedicated support, fostering a proactive approach to environmental health and safety.

 

 

 

Partner with Chemetrix for PFAS solutions

Addressing the challenges posed by PFAS requires collaboration, innovation, and the right tools. Chemetrix is committed to supporting South African laboratories in their efforts to detect, analyse, and manage PFAS contamination. Contact Chemetrix today to learn more about our solutions and how we can assist your laboratory in safeguarding public health and the environment.

Fingerprinting Honey to Ensure Purity

How pure is that honey in your jar?

Although there’s a rising demand for honey, the honey bee population is also under threat. Another not-so-sweet issue is the number of products labelled as honey on retail shelves that don’t meet the criteria to be classified as pure honey.

The term “adulterated honey” means any honey to which has been added honeydew, glucose, dextrose, molasses, sugar, sugar syrup, inverted sugar, or any other similar product or products other than the nectar of floral exudations of plants gathered and stored in the comb by honey bees.

Food fraud is a significant concern for consumers and producers, with research indicating that fraud accounts for up to 25% of all globally reported food safety incidents. The growing demand for food authenticity means consumers regularly pay a premium for organic and sustainably produced goods like honey. Fraudsters have been flooding markets with adulterated, low-quality, or mislabeled foodstuffs, damaging the livelihoods of legitimate businesses and potentially risking consumer health.

 

Increasing demand

Consumers have become quite specific in their demand for honey, focusing on unifloral honey or monofloral honey obtained predominantly from bees that feed on a single species of plant flowers. This results in a unique colour, flavour, and fragrance exclusive to each type of unifloral honey. As consumers are willing to pay more for these products, protections must ensure that they purchase what they expect.

According to data from the Food and Agriculture Organization of the United Nations, China, Mexico, Russia, Turkey, and the United States are among the major honey-producing countries accounting for approximately 55 per cent of world production. The most common form of adulteration involves extending or diluting honey with other less expensive sweeteners. Commonly identified extenders are corn, cane, and beet syrups.

 

Testing for authenticity to mitigate honey fraud

Global e-commerce is placing honey sales outside regulatory oversight more frequently—a trend expected to continue. This, combined with increased fraudulent activities, makes tackling the problem critical. This is why it is important to identify these substances quickly, efficiently, and consistently. The food industry requires analytical instruments and testing techniques to consistently and rapidly analyze food and identify trace chemicals.

Analytical testing is essential for assessing food authenticity, which is important to protect consumers’ health, the brand, and producers’ income. Testing is a necessary part of an overall strategy to mitigate fraud risk, and methods for authenticity testing are rapidly evolving, with innovative technologies now available for developing robust food testing techniques.


Agilent 1290 Infinity II LC System

For example, it has been demonstrated in recent years that coupling high-performance liquid chromatography with quadrupole time-of-flight (LC/Q-TOF), such as the Agilent 1290 Infinity II LC System with Agilent 6545 LC/Q-TOF, provides a sensitive method to reveal the chemical composition of honey samples. Using this method with a non-targeted approach enables the identification of new types and sources of fraud through the chemical markers in the honey, highlighting which kind of fraudulent activity is occurring. Since this technique evaluates multiple markers in honey to determine authenticity, it is very difficult for fraudsters to cheat by adding one or a few adulterants. This innovative technique is called honey fingerprinting.


Agilent 6545 LC/Q-TOF

 

Determining honey’s unique chemical composition

Honey fingerprinting is the practice of using a suitable technique to record as much information as possible on the chemical composition of a particular honey sample. In the same way, a human fingerprint is unique to individuals, this fingerprinting method unlocks and records the unique molecular composition of authentic honey samples. This enables the mapping of food components in an unprecedented fashion that will revolutionize how honey is regulated for quality, safety, and authenticity.

Utilizing a non-targeted workflow begins with identifying other compounds, including pesticides, molecules that indicate freshness, like a compound called HMF (which suggests thermal processing or age if present in high numbers), and phenolic compounds, which are related to the floral origin of honey. The advantage of using LC/Q-TOF for this technique is its efficiency: higher molecular/trace information levels can be obtained from just one sample in less time versus targeted methods focusing on just a few parameters.

 

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 condition. There are also differences in terms of data processing and analysis. As a result, two laboratories analyzing the same sample may obtain slightly different results. Ideally, developing a standardized 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.

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 own 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.

 

Taking a global approach to ensure honey purity

As the food supply chain becomes increasingly globalized, raising the opportunity for food fraud, experts predict that testing, such as those described above, will become more accessible, increasingly automated, and easier to perform. Fingerprinting methods—in which the entire molecular profile of food can be obtained—will be a feature of future fraud prevention and identification systems.

A positive step forward is the focus on building a library of authentic honey samples and making it an accessible, open database so that honey fingerprinting information is available across multiple stakeholders in the global supply chain. With increased knowledge, more scientists will be able to adopt techniques such as LC/Q-TOF and could also use this testing for other types of food—for example, maple syrup.

The ultimate goal is for food testing laboratories to confidently measure contaminants that threaten the global food chain and tackle food fraud head-on to ensure that consumers can access authentic and safe honey.

(This article has been modified from its original appearance on the Agilent website)