

Online NIR Process Analyzer
在线近红外过程分析仪
- SKU NIR-0004
- NIR
- CE (to be confirmed)
- ATEX hazardous area option (to be confirmed)
- ISO 9001 manufacturing (to be confirmed)
Price on request — FOB / CIF quoted per order
Prices depend on configuration, quantity and destination port.
Key specifications
| Spectral range | 1000–2200 nm |
|---|---|
| Probe path length | 1–20 mm selectable |
| Fiber optic length | up to 100 m |
| Scan interval | 1–60 s |
| Probe temperature rating | up to 300 °C |
| Probe pressure rating | up to 40 bar |
By Lab Manufacturers China Technical TeamLast reviewed Standards: Ph. Eur. 2.2.40 Near-infrared spectrophotometry, USP <1119> Near-Infrared Spectroscopy, ASTM E1655 Standard Practices for Infrared Multivariate Quantitative Analysis
What is the Online NIR Process Analyzer?
An online NIR process analyzer measures composition continuously through fiber-optic probes installed on reactors, dryers, blenders or pipelines. It is chosen for real-time process control and for reducing laboratory sampling in continuous or batch manufacturing.
What is the Online NIR Process Analyzer?
An online NIR process analyzer measures composition continuously through fiber-optic probes installed on reactors, dryers, blenders or pipelines. It is chosen for real-time process control and for reducing laboratory sampling in continuous or batch manufacturing.
Overview
This system separates the spectrometer, housed in a protective cabinet or rack, from the measurement point, connecting them by low-OH silica fiber optics or by a rugged probe head. Probes are designed for high temperature, high pressure, corrosive or sanitary conditions and may use transmission, transflectance or diffuse reflectance geometry. Spectra are collected continuously or on a cycle and passed to chemometric models that report concentration or endpoint in real time. Multiplexing allows one analyzer to serve several vessels in turn, which suits batch blending and reaction monitoring. Interfaces to distributed control systems send results as analog or digital signals, and alarms act when values exceed limits. Validation covers the probe, the fiber path and the model, so installation effects must be tested on site before release.
How does it work?
Near-infrared spectroscopy probes overtones and combination bands of fundamental molecular vibrations, mainly of hydrogen-bearing groups such as O-H, N-H and C-H. Absorption in this region is weak, so light penetrates millimeters to centimeters into powders, grains and liquids, which allows bulk measurement with little sample preparation. Instruments use a polychromatic source and either a Fourier transform interferometer or a grating with a detector array to record reflectance, transmission or transflectance spectra. Because the bands are broad and overlapping, composition is predicted with multivariate calibration models built from a set of reference samples analyzed by a primary method such as Karl Fischer titration, Kjeldahl nitrogen or HPLC. Models use algorithms such as partial least squares regression and are validated for the specific product, instrument and measurement conditions.
What are the key features?
- Fiber-optic probes for reactors, dryers and pipelines
- Spectrometer in a protective cabinet remote from the process
- Multiplexing to several measurement points
- Analog and digital interfaces to control systems
- Real-time concentration, moisture and endpoint outputs
- Hazardous area classification options for plant installation
What are the technical specifications?
A typical online nir process analyzer configuration offers spectral range of 1000–2200 nm, probe path length of 1–20 mm selectable, fiber optic length of up to 100 m, scan interval of 1–60 s, probe temperature rating of up to 300 °C and probe pressure rating of up to 40 bar. Values are indicative of the product class; the exact figures for each configuration are confirmed on the quotation and the calibration documents supplied with the instrument.
Which applications is it used for?
The Online NIR Process Analyzer is used in reaction endpoint determination in batch reactors, blending and granulation endpoint control, drying moisture monitoring and continuous product composition on pipelines. Across the wider NIR class, laboratories also deploy it for raw material identification at goods receipt, moisture, protein, fat and starch determination in food and feed and pharmaceutical blend uniformity and tablet content monitoring.
Which standards and certifications apply?
Relevant standards and methods include Ph. Eur. 2.2.40 Near-infrared spectrophotometry, USP <1119> Near-Infrared Spectroscopy, ASTM E1655 Standard Practices for Infrared Multivariate Quantitative Analysis, ISO 12099 Guidelines for the application of near infrared spectrometry, ICH Q2(R2) Validation of analytical procedures, ISO/IEC 17025 and IEC 61010-1. Certification candidates for this model are CE, ATEX hazardous area option and ISO 9001 manufacturing; each is to be confirmed for the specific configuration before shipment, and certificates are supplied only where they have been issued.
Near-infrared results depend on representative sampling because the measurement volume is small relative to a batch. Sample presentation, particle size, packing density, temperature and moisture all shift spectra, so operators must follow a fixed procedure. Calibration models require ongoing maintenance: performance checks against reference samples, outlier detection, and updating when raw materials, processes or instruments change. Reference analyses must be accurate because model errors persist. Instruments should be qualified and models validated before use, with change control for software and calibration updates. Install units on stable benches or in the plant with protection from vibration, dust and temperature swings.
How do I select the right Online NIR Process Analyzer?
Select an online analyzer when real-time control adds value, such as endpoint determination, blend uniformity or continuous composition monitoring, and when laboratory sampling lags the process. Define the probe interface, temperature, pressure and cleaning requirements with the process engineers. Confirm that a valid model exists and that on-site installation effects are tested, since fiber length and window fouling shift spectra.
How does it compare with other NIR variants?
Choose a NIR system from the sample form and the regulatory context, because the calibration model is often more valuable than the hardware. Benchtop FT-NIR analyzers suit laboratories that need high resolution and stable performance for many product models. Dispersive grating instruments with array detectors are compact and fast for routine quality checks. Handheld analyzers serve incoming material identification and field work. Process analyzers with fiber-optic probes measure at the reactor, dryer or blender. Chemical imaging systems map heterogeneity. For every option, confirm that validated calibrations exist or can be developed, and check wavelength range, resolution, photometric stability and whether the instrument can transfer models from another site.
Full specifications
| Spectral range | 1000–2200 nm |
|---|---|
| Probe path length | 1–20 mm selectable |
| Fiber optic length | up to 100 m |
| Scan interval | 1–60 s |
| Probe temperature rating | up to 300 °C |
| Probe pressure rating | up to 40 bar |
| Multiplexer channels | up to 8 |
| Communication | 4–20 mA, Modbus, Ethernet |
| Enclosure | stainless steel cabinet, IP54 |
| Power supply | 100–240 V AC |
Indicative values for this product class. Final specifications are confirmed on the quotation and in the calibration documents supplied with the instrument.
Applications
- Reaction endpoint determination in batch reactors
- Blending and granulation endpoint control
- Drying moisture monitoring
- Continuous product composition on pipelines
Key features
- Fiber-optic probes for reactors, dryers and pipelines
- Spectrometer in a protective cabinet remote from the process
- Multiplexing to several measurement points
- Analog and digital interfaces to control systems
- Real-time concentration, moisture and endpoint outputs
- Hazardous area classification options for plant installation
Frequently asked questions about Online NIR Process Analyzer
Fouling changes the measured spectrum and must be detected and managed. Options include retractable probes for cleaning during maintenance windows, air or solvent purges, and spectral diagnostics that flag a baseline or reference shift. A scheduled cleaning procedure and reference check are essential for data integrity.
Validation combines the analytical model with the installed system: probe, fiber, sample interface and process conditions. It includes accuracy, precision and robustness across the operating range, verification that installation does not change the spectra, and defined performance checks during use. Change control applies to probe replacement, model updates and process changes.
Yes, multiplexers switch the light path between several probes in sequence, allowing one spectrometer to monitor multiple vessels. The trade-off is a longer interval between measurements on each vessel, which may matter for fast reactions. Confirm timing requirements and that each probe has its own validated model.
FTIR measures fundamental vibrational absorptions in the mid-infrared from about 4000 to 400 cm-1, giving sharp characteristic bands for functional groups. NIR measures weak overtones and combination bands from about 12500 to 4000 cm-1, giving broad overlapping bands suited to quantitative models. FTIR identifies structure; NIR predicts composition in bulk samples.
Often yes, because models are specific to product, process and instrument. Vendors may supply starter or library models for common materials, but they still require validation and often adjustment with local samples. Plan time and reference laboratory capacity for model development, and budget for ongoing model maintenance as materials and processes change.
A robust quantitative model usually needs at least 50 to 100 representative samples spanning the expected variation, ideally more for wide ranges or multiple seasons. The samples must cover the full range of the analyte and matrix variation, and their reference values must be accurate. Model performance is judged on independent validation samples, not the calibration set.





