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Malvern Panalytical Scientific Award 2023

Our 2023 Scientific Award is now open – and there’s a €5,000 prize for the best entry.
Entries close August 31st – you’ve still got time!

How important is homogenisation for NIR accuracy?

Why Sample Uniformity Affects NIR Results

NIR analysis depends on consistent interaction between light and the sample. In powders, grains, minerals, food ingredients, polymers, and blended materials, differences in particle distribution or composition can cause one reading to vary from another.

Poor homogenisation can lead to unstable spectra, weak repeatability, and inaccurate predictions. This is especially important when the property being measured is not evenly distributed through the sample, such as moisture, active ingredient content, contamination, or blend uniformity.

Homogenisation does not always mean intensive grinding or processing. The right approach depends on the sample and application. Mixing, controlled presentation, repeated scans, cup rotation, or representative subsampling may be enough to improve confidence. For quantitative NIR work, the calibration should reflect the same preparation and presentation used in routine testing.

Improving NIR Measurement Reliability

For more detail on the method, review PAS’s overview of Near Infrared Spectroscopy technology. To compare suitable instruments, explore PAS’s NIR analysers through Portable Analytical Solutions, or contact our team to discuss homogenisation, sample preparation, and accuracy requirements.

What is the role of chemometric calibration in NIR?

How Chemometrics Turns NIR Spectra into Results

NIR spectra contain broad, overlapping absorption features rather than simple isolated peaks. Chemometric calibration is used to interpret this complex spectral information and link it to the property being measured.

A calibration model is built using representative samples that have been analysed by a reliable reference method. The NIR spectra and reference results are then used to create a model that can predict results for similar unknown samples.

The quality of the calibration controls the reliability of the NIR result. A good model should include the expected range of sample variation, including composition, moisture, particle size, temperature, and presentation conditions. Models also need validation to confirm they perform reliably on real samples, not only on the calibration set.

Building Confidence in NIR Calibration

For more detail on the measurement principle, review PAS’s overview of Near Infrared Spectroscopy technology. To compare suitable systems, explore PAS’s NIR analysers through Portable Analytical Solutions, or get in touch to discuss calibration models, reference data, and application requirements.

Why do NIR models drift over time?

Why NIR Calibration Models Need Ongoing Checks

Near-infrared spectroscopy relies on calibration models that connect spectral patterns to known sample properties. If the materials being tested change outside the original calibration range, the model may become less reliable.

Model drift can be caused by new raw material sources, seasonal variation, particle size changes, moisture differences, temperature shifts, instrument ageing, lamp changes, or changes in sample presentation. Even small changes can affect spectra if they were not represented in the original calibration set.

Drift does not always mean the instrument has failed. It often means the model needs validation, adjustment, or expansion with new representative samples. Routine checks against reference methods help confirm whether the model is still suitable for the application.

Maintaining Reliable NIR Performance

For more detail on the method, review PAS’s overview of Near Infrared Spectroscopy technology. To compare suitable instruments, explore PAS’s NIR analysers through Portable Analytical Solutions, or contact our team to discuss model validation, calibration updates, and routine measurement requirements.

How is XRF used in mineral exploration?

How XRF Supports Exploration Decisions

In exploration, handheld XRF provides fast elemental data without sending every sample to a laboratory first. This can help field teams assess geochemical patterns, compare sample locations, and make faster decisions about where to continue sampling or drilling.

XRF is often used on rock chips, soils, core, drill cuttings, and prepared sample cups. It can support exploration for a range of commodities by identifying major, minor, and trace elements that are relevant to the target deposit style.

Results should be interpreted with the sample condition in mind. Moisture, particle size, surface contamination, matrix effects, and uneven mineral distribution can affect readings. For stronger confidence, field XRF methods should be validated with appropriate calibration checks and laboratory confirmation where required.

Considering XRF for Exploration Programs

For more detail on the technique, review PAS’s overview of X-Ray Fluorescence technology. To assess field instruments for exploration work, explore PAS’s handheld XRF analysers through Portable Analytical Solutions, or contact our team to discuss samples, target elements, and field workflows.

Can XRF detect gold?

Practical Limits of Gold Detection by XRF

XRF identifies elements by measuring their characteristic fluorescent X-rays. For high-value materials, jewellery, alloys, and some concentrates, gold may be present at levels that are suitable for XRF measurement.

In mineral exploration and ore analysis, gold is often present at low parts-per-million or parts-per-billion levels. It may also occur as fine particles or nuggets, which creates a sampling problem. A reading taken on one small area may not represent the wider sample.

For this reason, XRF is often more useful for detecting associated or pathfinder elements than for confirming low-level gold grades directly. Gold analysis should be validated against laboratory methods where precise grade reporting, compliance, or resource decisions are required.

Assessing XRF for Gold-Related Testing

For more detail on the measurement principle, review PAS’s overview of X-Ray Fluorescence technology. To compare suitable instruments, explore PAS’s handheld XRF analysers through Portable Analytical Solutions, or get in touch to discuss gold, pathfinder elements, and sample preparation requirements.

How accurate is XRF for ore analysis?

What Determines XRF Accuracy in Ore Testing

Ore analysis is more complex than testing uniform metals because geological samples are often heterogeneous. Mineral grains, uneven distribution of elements, moisture, surface roughness, and variable particle size can all affect the X-ray signal measured by the analyser.

Handheld XRF is commonly used for fast field screening, grade control, and exploration decisions. It can help identify target and pathfinder elements quickly, but results are strongest when supported by suitable calibration, consistent sample presentation, and periodic laboratory checks.

For quantitative ore analysis, prepared samples usually provide more reliable results than rough, wet, or uneven material. Crushing, grinding, drying, mixing, and using appropriate sample cups can improve repeatability where the application requires stronger confidence.

Reviewing XRF for Ore Applications

For more detail on the method, review PAS’s overview of X-Ray Fluorescence technology. To compare field-ready instruments, explore PAS’s handheld XRF analysers through Portable Analytical Solutions, or contact our team to discuss ore type, elements of interest, and accuracy requirements.

Australia Is Drilling More Than Ever — So Why Aren’t We Finding More? The Case for Mineralogy at the Drill Site

Australia’s exploration sector is having a busy year. Rigs are turning, budgets have lifted, and a strong gold price is drawing capital back into the ground.

Look a little closer at the latest figures, though, and a more nuanced picture emerges. The industry is drilling more metres than it has in some time, but very little of that increase is going into new ground.

On 2 June 2026, the Australian Bureau of Statistics released its March quarter 2026 exploration figures. Mineral exploration expenditure came in at $949.3 million for the quarter, up 16.3% on the same quarter a year earlier. Metres drilled rose 27.6% over the same period.

The interesting part is where that drilling went.

Activity on existing deposits rose 34.4% year-on-year. Activity on new deposits rose 4.7%. On the spending side, exploration of new deposits accounted for $215.7 million, or a little under a quarter of the national total — the lowest greenfields share in the ABS series going back to at least 2018, when it sat above a third.

Gold accounted for $450.9 million of the quarter’s spend, close to half the national total.

So activity is healthy. It is the balance between known ground and new ground that has shifted.

Why the Balance Has Moved

There are some fairly clear reasons for the brownfields tilt. Capital is cautious, investors tend to favour ounces near existing infrastructure, and drilling out a known resource carries less risk than testing a concept. The Association of Mining and Exploration Companies has also pointed to broader funding pressures, noting that proposed capital gains tax changes are already influencing whether some programs proceed.

Alongside those commercial factors sits a more practical one, and it sits closer to the rig.

Exploring genuinely new ground tends to be a mineralogy question before it becomes a drilling question. Across much of the Australian continent, prospective geology sits under cover or beneath a deeply weathered profile, which means there is often no obvious visual signal to follow. What there is instead is subtle alteration — changes in the type and composition of minerals formed by the fluids that once moved through the rock.

Those changes are the vectors. They help a geologist judge whether the next hole should step 50 metres in one direction or 500 in another. And they are difficult to read reliably by eye, because the minerals involved can look very similar in a core tray or hand sample.

Traditionally, confirming them has meant sending samples away and waiting on laboratory results. That wait is manageable on a well-understood deposit. On an early-stage program, it can mean the rig has moved on before the answer arrives, and the next decision gets made on visual logging and experience alone.

Bonus Resource: Field-based near-infrared analysis is not a new idea. Its scientific lineage runs back further than most people expect, and that history explains a good deal about why the technique has become so dependable: The Fascinating History of NIR: From Discovery to Modern Applications

Elements and Minerals Answer Different Questions

Most Australian exploration teams already carry a handheld XRF analyser, and for good reason. It answers a specific and useful question: which elements are present, and roughly in what concentration.

What it is not designed to tell you is how those elements are arranged into minerals. Alteration vectoring generally depends on that arrangement.

This is where near-infrared spectroscopy comes in. Rather than measuring elemental composition, NIR and short-wave infrared (SWIR) reflectance spectroscopy measure how a material interacts with light across a wide range of wavelengths. Different minerals absorb and reflect that light in characteristic ways, producing a spectral pattern that can be used to identify them.

For exploration teams, this offers a few practical benefits:

  • It identifies minerals, not just chemistry. Clays, micas, chlorites and carbonates that appear similar to the eye can often be told apart spectrally.
  • It can pick up compositional variation within a mineral. Subtle changes in a mineral’s chemistry can shift its spectral pattern, and those shifts are widely used as vectoring indicators in several deposit types.
  • It is non-destructive. The sample is unchanged, so it can be scanned, logged and still sent for assay.
  • It is quick. Individual readings take a fraction of a second, which makes it realistic to scan a lot of material.

None of this is unfamiliar territory in Australia. State and territory geological surveys have been generating hyperspectral drill core data for close to two decades through the AuScope National Virtual Core Library, now the largest publicly accessible drill core mineralogical database in the world. The technique is well established. What has changed is that it no longer needs to sit in a core library to be useful.

Bringing the Spectrometer Closer to the Rig

Portable Analytical Solutions is the Australian distributor for Spectral Evolution, a manufacturer of field-portable and laboratory spectroradiometers used in geology, mining, environmental research and industrial analysis around the world.

The exploration instruments in the range are the oreX series. All three cover the full 350–2500 nm range and share a design approach built around working in the field: solid-state optics with no moving parts, rugged anodised aluminium housings, and a metal-sheathed fibre-optic cable that can be replaced on site rather than returned to the manufacturer.

  • oreXpress — The general-purpose option, suited to outcrop work, hand samples, RC chips and core-shack logging. PAS reports one documented case in which using the oreXpress reduced core logging time from six hours to two.
  • oreXplorer — Offers higher resolution and sensitivity than the oreXpress, which helps when separating minerals with overlapping spectral features. It uses single-button operation with automatic dark-current correction and exposure adjustment, so readings are less dependent on who is taking them.
  • oreXpert — The highest-resolution field spectrometer in the range, intended for separating closely overlapping features and picking up trace minerals in mixed samples.

All three work with Spectral Evolution’s EZ-ID™ mineral identification software, which compares each scan against established reference libraries and returns weighted match results. Teams can also build and import libraries of their own. The aim is not to remove the need for spectral expertise, but to make reliable identification available to the whole team rather than only the person who can read a spectrum.

The wider Spectral Evolution range extends beyond exploration into environmental and agricultural fieldwork with the NaturaSpec Plus, NaturaSpec Ultra, PSR-1100f and RS-3500, and into laboratory work with the CalibraSpec 4500A and CalibraSpec 6500A.

Insight: Field data is only as useful as its provenance. The Sensaprobe™ with Built-In Camera is designed to help with this, connecting to compatible Spectral Evolution spectroradiometers via Bluetooth and recording details such as target distance, probe angle, GPS position and a photograph of the scanned area alongside each measurement.

What It Can Change on an Early-Stage Program

It is worth being clear that field spectroscopy does not replace the laboratory. Assay remains the measure of grade, and it should.

What on-site analysis can change is the order in which things happen. Rather than drilling, sampling, waiting and then deciding, a team can scan on site, build a mineralogical picture while the rig is still on the pad, and use that picture to help decide what genuinely needs to go to the lab.

Teams using field NIR commonly report benefits along these lines:

  • Alteration information available sooner, so vectoring decisions can keep closer pace with the drilling program
  • A more targeted approach to assay, sending fewer but better-chosen samples
  • Faster core logging, freeing geologists for interpretation rather than description
  • A digital spectral record, since each scan can be saved and revisited later as new questions arise
  • More consistency across a team, because automated matching produces comparable results regardless of who is operating the instrument

That last point is worth dwelling on. Core libraries around the country hold legacy drill core that is being rescanned today for minerals nobody was especially interested in when the hole was originally drilled. Building a spectral record as you go is a reasonable hedge against the questions a program has not thought to ask yet.

From Metres Drilled to Ground Understood

The March quarter figures are not bad news. Rising expenditure and rising metres point to a sector in good health. But a 34.4% increase in drilling on existing deposits against a 4.7% increase on new ones does suggest an industry leaning towards certainty, at a time when Australia is being asked to find the next generation of gold, copper and critical mineral deposits.

Closing that gap is unlikely to come from drilling more. It is more likely to come from knowing more before, during and immediately after each hole — and mineralogy is where a good deal of that knowledge sits.

The June quarter figures are due on 31 August. Whichever way they move, the underlying question is much the same: how well is each metre being drilled understood?

If you’d like to talk through where field NIR might fit in your exploration workflow, or which instrument in the Spectral Evolution range suits your program, get in touch with the PAS team. We also offer manufacturer-accredited training and rental arrangements on selected instruments.

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How does sample temperature influence NIR measurements?

Why Temperature Consistency Matters in NIR Testing

NIR spectra are sensitive to molecular interactions, including hydrogen bonding and other physical effects that can change with temperature. As a sample warms or cools, its spectral response may shift even when its chemical composition remains the same.

This is important in process monitoring, field testing, incoming goods inspection, and laboratory-to-site transfer where samples may be measured at different temperatures. Liquids, moist materials, polymers, powders, and agricultural products can all show temperature-related spectral variation.

Reliable NIR methods usually control sample temperature, allow samples to equilibrate before testing, or build calibration models that include the expected temperature range. The best approach depends on the material, required accuracy, operating environment, and whether the measurement is qualitative or quantitative.

Reviewing NIR Under Real Measurement Conditions

For more detail on the method, review PAS’s overview of Near Infrared Spectroscopy technology. To compare suitable instruments, explore PAS’s NIR analysers through Portable Analytical Solutions, or contact our team to discuss sample temperature, calibration, and application requirements.

How does particle size affect NIR spectra?

Why Particle Size Changes NIR Response

NIR measurements depend on the interaction between light and the sample surface or bulk material. Fine particles, coarse particles, and mixed particle sizes scatter light differently, so two samples with the same chemistry may produce different spectral shapes if their physical structure is different.

Smaller particles often increase light scattering and may create stronger or more uniform spectral responses. Coarser or uneven particles can create variable contact with the analyser window, inconsistent reflectance, and less repeatable measurements.

This is especially important for powders, grains, minerals, soils, food ingredients, polymers, and blended materials. Calibration models should include representative particle size variation, or samples should be prepared consistently before measurement. Grinding, mixing, cup presentation, and repeated scans can help improve repeatability where appropriate.

Assessing NIR for Variable Particle Samples

For more detail on the method, review PAS’s overview of Near Infrared Spectroscopy technology. To compare suitable instruments, explore PAS’s NIR analysers through Portable Analytical Solutions, or get in touch to discuss particle size, sample preparation, and measurement requirements.

How does moisture influence NIR results?

Why Moisture Control Matters in NIR Analysis

Near-infrared spectroscopy measures how a sample absorbs, reflects, or transmits NIR light. Water contains O-H bonds, which produce strong NIR absorption bands and can dominate parts of the spectrum.

In many applications, moisture is the property being measured. This includes agricultural products, food ingredients, powders, minerals, chemicals, and process materials where water content affects quality or handling. In these cases, a suitable calibration model can use the moisture-related spectral response to report water content.

Moisture can also interfere with other measurements. If water content changes between calibration samples and routine samples, the analyser may see spectral variation that is unrelated to the target property. For reliable results, samples should be measured under consistent conditions, or the calibration should include the expected moisture range.

Reviewing NIR for Moisture-Affected Samples

For more detail on the method, review PAS’s overview of Near Infrared Spectroscopy technology. To compare suitable instruments, explore PAS’s NIR analysers through Portable Analytical Solutions, or contact our team to discuss your sample type and moisture measurement requirements.