What are the opening hours?

Monday 09:00 - 17:00 Tuesday 09:00 - 17:00 Wednesday 09:00 - 17:00 Thursday 09:00 - 17:00 Friday 09:00 - 17:00

IAS Analysis

Name: IAS Analysis
Address: 9 North Buona Vista Drive, The Metropolis Tower One, Level 2 and 3, Singapore, 138588, SG
Telephone: +6591995851

Home
Singapore
Singapore
IAS Analysis

Call Directions Website Contact the business

We are a leading provider of professional Near-Infrared (NIR) analysis products and services, we are committed to meeting the needs of global customers!

30/10/2026

Why Does the Model Still Need "Upkeep" After the NIR Instrument Arrives?

Many people assume that once an NIR instrument is purchased and a model is installed, it can measure directly. In reality, the instrument measures spectra; what translates spectra into component values is the calibration model behind it.

🔍 The model only recognizes the "patterns" it has seen

Even for the same wheat, Australian and Chinese varieties differ in protein structure and particle size distribution. A model built with samples from location A may show significantly larger deviations when used on samples from location B—not because the instrument is inaccurate, but because the model has never seen your samples.

🛠️ Localization is a must

Build or adjust the model using samples from your region and the raw materials you actually process. The closer the model's coverage is to your real samples, the more reliable the predictions.

🔄 Models also need ongoing maintenance

Raw materials change, varieties are updated, and light sources age. Regularly validate the model with reference methods; if deviations exceed the acceptable range, add new samples and update the model. This is not an instrument quality issue, but an inherent property of NIR as a secondary analysis method—it always relies on reference data to anchor itself.

💡 So when selecting an instrument, beyond specifications, ask clearly: How is the model built? How are local samples involved? How is ongoing maintenance supported?

28/10/2026

In the Olive Industry, What Really Matters Is the “Timeline”

⏱️ Once Harvested, the Countdown Begins
As soon as olives leave the tree, oxidation starts. A 2026 study showed that oil pressed immediately after harvest maintained acidity at 0.28%–0.35%; when olives were stored at room temperature before pressing, acidity and peroxide values rose significantly, with phenolic losses reaching 20%–70%. The industry rule of thumb is to complete processing within 24 hours—the baseline for preserving quality.

🫒 Raw Material Condition Sets the Ceiling Earlier Than Variety
Mechanical harvesting is efficient, but it brings in more leaves, soil, and damaged fruit. Damaged olives accelerate hydrolysis and fermentation, driving up acidity and pushing flavor toward defects. The earlier sorting and washing happen, the more comfortable all downstream quality indicators become.

🔍 The Real Risk Is the Testing Blind Spot
Official testing methods are expensive and time-consuming, and the proportion of samples actually tested is very low. The result: compliant producers struggle to confirm quality at high frequency, and the probability of detecting adulteration is not high enough. The shortfall is often not “insufficient accuracy,” but testing density and timeliness failing to keep pace with production.

📌 IAS-OLIVE+
It is a portable, offline near-infrared analyzer. Operators can take samples on site at key points—the reception hopper, before pressing, or the pomace outlet—and directly test whole olives and olive pomace without complex sample preparation, obtaining key composition data such as moisture and oil content within a short time.

Olive oil quality is essentially a time-sensitive variable. Whoever can obtain reliable information within a shorter window holds the initiative over quality.

26/10/2026

The Division of Labor Between Short-Wave and Long-Wave NIR
🔦 Same NIR, Very Different Wavelengths!
Short-wave NIR (780–1100nm) has strong pe*******on, making it suitable for high-moisture samples (such as fruit and meat), but its absorption is weak and information content is limited. Long-wave NIR (1100–2500nm) offers strong absorption and rich information, making it ideal for dry samples like powders and granules. Choose the right wavelength band, and detection becomes twice as effective with half the effort.

22/10/2026

Why Fine-Grained Process Control Is Becoming More Important

📈 Raw material variability is increasing. Energy and chemical costs remain under pressure. Quality and compliance requirements are tightening. A single batch that drifts off-spec can mean rework, waste, or even delayed delivery.

⏱️ Yet the traditional quality management model—periodic manual sampling, sending samples to the lab, waiting for results—leaves a blind spot exactly where decisions need to be made: during the process itself. By the time results come back, the product may already have moved to the next stage.

🔄 From “inspection after the fact” to “control during the process”

The logic of quality management is shifting fundamentally: it used to be “produce first, inspect later.” Now it’s “control quality while producing.”

❓ Why does this matter more now than before?

Three trends are converging: raw material sources are more diverse, making batch-to-batch variation harder to predict; cost pressure demands less rework and waste; and compliance and traceability requirements are becoming more granular. All three point to the same conclusion—decisions must be faster, and information must be more timely.

🎯 Process visibility, deviation detectability, and timely adjustment form a short-cycle closed loop. The finer the control granularity, the earlier deviations are caught, and the lower the cost of correction. The value of fine-grained process control lies in making decisions happen before problems grow.

19/10/2026

The Spectral Authentication Expert for Milk Powder Adulteration
🥛 Is Milk Powder Pure? Light Exposes Adulteration!
The milk powder market faces the issue of cheap fillers such as starch, dextrin, and plant protein being added. Near-infrared spectroscopy can simultaneously detect the characteristic absorption of lactose, milk protein, and milk fat (1400–2200nm) and compare the results against a pure milk powder spectral library, rapidly identifying abnormal adulteration. No need to open the can—results in seconds—providing technical support for market supervision and consumer rights protection.

14/10/2026

🫒 Olive Oil Fraud Is Getting Harder to Hide

Extra virgin olive oil commands a premium price, which makes it a prime target for adulteration. Traditional gas chromatography can detect problems, but it’s time-consuming, requires sample preparation, and needs skilled operators.

Near-infrared spectroscopy is making this much simpler.

📊 What the 2025 data shows

A 2025 study published in Food Control tested the discrimination power of NIR spectroscopy on 488 olive oil samples—including low-cost portable devices. The results were straightforward: correct classification rates for “fruity” and “sensory defects” reached 94% and over 82%, respectively, with portable devices performing on par with benchtop instruments in the field.

⏱️ Why this matters

For mills and growers, it means no more waiting for lab results. At the reception hopper, in the pressing facility, or by the storage tank, you can get key data—acidity, moisture, oil content—within a minute, and decide on the spot whether to accept raw material or how to grade a batch.

Adulteration screening works the same way. What used to require sending samples and waiting for results can now be done at the point of oil reception.

✅ NIR isn’t here to replace the lab—it brings the “first line of screening” to the field. So problems are caught before they move to the next stage.

12/10/2026

The Non-Destructive Assessor of Internal Fruit Quality
🍎 Is the Apple Sweet? Light Reveals It Instantly!

Traditional fruit quality testing requires cutting or juicing, which destroys samples and prevents full inspection. A portable near-infrared device placed against the fruit surface detects characteristic absorption of sugars (1400–1600nm), acidity (1700–1800nm), and moisture in the flesh, non-destructively predicting sugar-to-acid ratio and ripeness. Growers can assess quality before harvest, while supermarkets can grade on site—ensuring every fruit is as good inside as it looks outside.

10/10/2026

🌻 Connecting with the industry. Understanding what matters on the ground.
Together with our Serbian distributor, Dejan Jacimovic of Bazico Lab DOO, we recently visited six companies across the oilseed and agricultural processing sector.
From sunflower and rapeseed crushing and oil extraction to soybean processing and drying operations, each visit offered a valuable perspective on the diversity of this industry—and the practical demands behind every stage of production.
There is no substitute for meeting customers face to face. These visits gave us the opportunity to listen, exchange technical perspectives, and gain a deeper understanding of how different businesses approach processing efficiency, product quality, and operational reliability.
For us, strong partnerships begin with understanding. By combining local market knowledge with technical expertise, we aim to build closer connections with customers and explore solutions that respond to their specific processes and priorities.
A big thank you to Dejan and the Bazico Lab DOO team for their support, and to all six companies for welcoming us and sharing their experience.
We look forward to turning these conversations into lasting partnerships and continued progress together. 🤝

08/10/2026

The Spectral Quality Inspector for Feed
🌾 Is the Feed Compliant? Revealed by Spectroscopy in Seconds!

Adulteration and mycotoxin contamination in feed ingredients (soybean meal, fishmeal, corn) are hidden threats to the livestock industry. Near‑infrared spectroscopy can simultaneously detect protein, fat, fiber(characteristic peak near 2100nm) without chemical reagents, completing multi‑indicator analysis in under 1 minute. The system automatically compares results against a standard database, rapidly identifying adulteration and deterioration, and safeguarding the safety bottom line for feed mills and farmers.

29/09/2026

🎉 We are thrilled to announce that IAS (IAS Global Co., Ltd.) has successfully closed an over RMB 100 million Series B funding round, co-invested by Shenzhen Capital Group (SCGC), Yunhui Capital, and Cuiwei Fund.
🔬 This milestone recognizes our breakthroughs in NIR spectroscopy and AI-driven spectral analysis. From driving growth in smart agriculture, fine chemicals and petrochemicals , to becoming the first Chinese brand to achieve batch deployment of NIR concentration meters on semiconductor cleaning equipment, IAS is building a multi-engine growth platform.
🌍 With a global footprint focused on agricultural trade and downstream food processing, IAS continues to expand across Eastern Europe, Southeast Asia, and the Americas.
🤝 Thank you to our investors and partners for your trust. Stay tuned for the next chapter of AI-powered spectroscopy.
For more details, please check here: https://sl1nk.com/8le1zqy

Address

9 North Buona Vista Drive, The Metropolis Tower One, Level 2 And 3
Singapore
138588

Opening Hours

Monday	09:00 - 17:00
Tuesday	09:00 - 17:00
Wednesday	09:00 - 17:00
Thursday	09:00 - 17:00
Friday	09:00 - 17:00

Telephone

+6591995851

Website

https://www.ias-glb.com/

Alerts

Be the first to know and let us send you an email when IAS Analysis posts news and promotions. Your email address will not be used for any other purpose, and you can unsubscribe at any time.