What is NIR Analysis and Why is it Important?
The grain sector is moving away from traditional methods such as Kjeldahl and Soxhlet, which are time-consuming, require extensive material usage, involve heavy chemical consumption, are prone to instability over time, and increase the likelihood of human error. These methods demand intensive labor, pose risks to human and environmental health, and may lead to serious long-term health issues.
Today, many reputable companies in the grain industry are transitioning to next-generation technologies based on Near-Infrared Reflectance (NIR) spectroscopy.
Figure 2. Representation of visible light and near-infrared (NIR) regions in the electromagnetic spectrum. The NIR region is defined within the range of 750–2500 nm (NIRLAB).
Differences between traditional gluten analysis methods not only impose significant economic burdens on producers but also create deviations in results that may lead to irreversible or difficult-to-correct issues in production processes. At this point, the BASTAK 9000 NIR device minimizes deviations and has a high capability to predict wheat functionality.
In today’s competitive food and agriculture industry, having high production capacity is not enough; producers must also prove product quality in a short time. The BASTAK DA (Diode Array) 9000 transforms long, complex, and error-prone laboratory processes into a fast, easy-to-use, high-precision analysis method with standardized measurement principles and a 13-inch LCD touchscreen interface.
2. Old Habits vs. NIR: Which One Moves You Forward?
2.1 Economic Losses, Penalties, and Waiting Times
In the modern flour industry, one of the most important conditions for profitability in sustainability is maintaining quality. Even small variations in quality can result in tons of defective products.
A single faulty shipment in a standard 25–30 ton truck can lead to economic losses ranging from $15,000 to $25,000. Especially in high-volume production, time must be managed efficiently. Reliable and rapid testing devices are essential in logistics.
Traditional methods such as Kjeldahl, oven drying, and manual gluten washing, although accurate, require long processing times:
Kjeldahl method: 2–4 hours per sample
Oven (moisture analysis): 1–2 hours + cooling time
Manual gluten washing: 45–60 minutes
Zeleny sedimentation test: requires shaking and long settling periods
These delays slow down laboratory workflows and increase costs. Trucks waiting for analysis results generate demurrage costs, and delays can lead to penalties, especially in maritime trade where container waiting costs are significantly higher.
The BASTAK 9000 NIR device delivers results within 30 seconds, providing critical parameters such as moisture, protein, ash, gluten, and Zeleny sedimentation quickly and accurately. This enables real-time decision-making and optimization of operational costs.
Scientific studies show that NIR systems operating within the 750–2500 nm wavelength range, combined with advanced algorithms, provide high accuracy in predicting grain quality.
Comparative analyses conducted to evaluate the performance of the Bastak NIR DA 9000 used reference values from traditional (wet chemistry) methods:
Protein: Bastak Kjeldahl System
Gluten: Bastak 6000 and 6100 Gluten Cheq
Moisture: Bastak Oven
Results showed minimal deviation and high repeatability, with a correlation coefficient of 99%.
Blind Production, Profit Loss, and Energy Inefficiency
One of the biggest mistakes is adjusting machines based on outdated analysis results or operator experience. Wheat hardness and moisture vary, requiring precise adjustments.
Incorrect settings may lead to:
Excessive pressure → bran mixing → higher ash → lower quality
Insufficient grinding → repeated processing → up to 2x energy consumption
Overheating → protein denaturation → poor baking performance
Increased wear → reduced machine lifespan → higher maintenance costs
Without real-time data, even a small miscalculation (e.g., 0.5% protein difference) directly reduces profit margins.
Labor and Chemical Costs
Traditional methods require skilled labor, attention, and experience. Human error in weighing, titration, and process management affects accuracy.
Challenges include:
Need for trained chemists/laborants
Long training periods for new staff
Limited daily sample capacity
Increased workforce with higher sample volume
In contrast, the Bastak NIR DA 9000 eliminates operator-related errors and provides highly repeatable results within seconds.
Traditional methods also rely heavily on chemicals:
High chemical costs (e.g., Kjeldahl reagents)
Hazardous material storage requirements
Disposal regulations requiring licensed companies
Additional costs (filters, glassware, cleaning)
They also consume high energy due to equipment like:
Ash furnaces (500–900°C)
Drying ovens
Distillation units
The Bastak NIR system only consumes power during analysis and eliminates chemical usage, significantly reducing operational risks and costs.
3. Application Areas of BASTAK DA 9000 NIR Device
Academic Research and R&D: Provides highly accurate and repeatable data, enabling faster and more reliable characterization of raw materials in research projects.
Licensed Warehouses: Time is critical during product acceptance. The device enables rapid determination of protein and moisture, ensuring correct silo allocation and preventing losses.
Flour and Pasta Industry: Maintaining final product quality requires stable raw materials. The device allows real-time monitoring of semolina quality and gluten levels, ensuring consistent production.
Bakery and Pastry Industry: The Bastak NIR DA 9000 can be used across all flour-based sectors such as bread, cakes, biscuits, and croissants. It measures:
Oil absorption (critical for biscuits)
Moisture balance (affects cake structure)
Gluten quality (essential for elasticity in croissants)