

Benchtop FT-NIR Analyzer
台式傅里叶变换近红外分析仪
- SKU NIR-0001
- NIR
- CE (to be confirmed)
- ISO 9001 manufacturing (to be confirmed)
- 21 CFR Part 11 software compliance (to be confirmed)
Price on request — FOB / CIF quoted per order
Prices depend on configuration, quantity and destination port.
Key specifications
| Spectral range | 12500–4000 cm-1 |
|---|---|
| Resolution | 2–16 cm-1 selectable |
| Wavenumber accuracy | ±0.1 cm-1 |
| Wavenumber reproducibility | ±0.02 cm-1 |
| Detector | thermoelectrically cooled InGaAs |
| Interferometer | Michelson with quartz beamsplitter |
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 Benchtop FT-NIR Analyzer?
A benchtop FT-NIR analyzer uses an interferometer to record high-resolution near-infrared spectra of powders, liquids and solids. It is the laboratory standard for building and running quantitative calibration models and for raw material identification.
What is the Benchtop FT-NIR Analyzer?
A benchtop FT-NIR analyzer uses an interferometer to record high-resolution near-infrared spectra of powders, liquids and solids. It is the laboratory standard for building and running quantitative calibration models and for raw material identification.
Overview
This instrument uses a Michelson interferometer with a quartz or calcium fluoride beamsplitter and a room-temperature or thermoelectrically cooled detector such as InGaAs to acquire spectra across roughly 12500 to 4000 cm-1. A Fourier transform converts the interferogram into a spectrum with high wavelength and photometric stability, which is important for transferring models between instruments. Sampling accessories include diffuse reflectance with a spinning cup for powders, transmission cells for liquids, and fiber-optic probes with sapphire or quartz windows. Because resolution and signal averaging are adjustable, the analyzers handle both identity libraries and quantitative methods for moisture, protein, fat, API content and blend uniformity. Software manages calibration sets, outlier diagnostics and model transfer. The platform is the center of most pharmaceutical and food NIR method development.
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?
- Interferometer with quartz or calcium fluoride beamsplitter
- Spectral range approximately 12500–4000 cm-1
- InGaAs detector with thermoelectric cooling
- Diffuse reflectance, transmission and fiber-optic sampling options
- High photometric stability for model transfer between instruments
- Software for calibration sets, outlier checks and validation
What are the technical specifications?
A typical benchtop ft-nir analyzer configuration offers spectral range of 12500–4000 cm-1, resolution of 2–16 cm-1 selectable, wavenumber accuracy of ±0.1 cm-1, wavenumber reproducibility of ±0.02 cm-1, detector of thermoelectrically cooled InGaAs and interferometer of Michelson with quartz beamsplitter. 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 Benchtop FT-NIR Analyzer is used in raw material identity in pharmaceutical warehouses, quantitative assay of powders, granules and liquids, food and feed composition analysis and method development and calibration transfer. 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, ISO 9001 manufacturing and 21 CFR Part 11 software compliance; 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 Benchtop FT-NIR Analyzer?
Select a benchtop FT-NIR analyzer when you need the highest spectral stability for quantitative models, model transfer across sites, or a wide range of sample accessories. Specify the sample forms you will measure, the required spectral range and resolution, and whether regulated software with audit trails is mandatory. Confirm that reference samples and reference methods are available for calibration.
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 | 12500–4000 cm-1 |
|---|---|
| Resolution | 2–16 cm-1 selectable |
| Wavenumber accuracy | ±0.1 cm-1 |
| Wavenumber reproducibility | ±0.02 cm-1 |
| Detector | thermoelectrically cooled InGaAs |
| Interferometer | Michelson with quartz beamsplitter |
| Signal-to-noise | ≥ 10000:1 (peak to peak) |
| Sampling modes | diffuse reflectance, transmission, probe |
| Measurement time | 10–60 s per spectrum |
| Communication | Ethernet / USB |
Indicative values for this product class. Final specifications are confirmed on the quotation and in the calibration documents supplied with the instrument.
Applications
- Raw material identity in pharmaceutical warehouses
- Quantitative assay of powders, granules and liquids
- Food and feed composition analysis
- Method development and calibration transfer
Key features
- Interferometer with quartz or calcium fluoride beamsplitter
- Spectral range approximately 12500–4000 cm-1
- InGaAs detector with thermoelectric cooling
- Diffuse reflectance, transmission and fiber-optic sampling options
- High photometric stability for model transfer between instruments
- Software for calibration sets, outlier checks and validation
Frequently asked questions about Benchtop FT-NIR Analyzer
Model transfer uses standards or samples measured on both instruments to correct for small differences in wavelength and photometric response. Methods include spectral preprocessing, slope and bias adjustment, and piecewise direct standardization. Transfer any model only after its performance is verified on the new instrument with independent validation samples.
Many quantitative NIR methods use 8 or 16 cm-1 resolution because the bands are broad and higher resolution adds noise and acquisition time without improving prediction. Identity libraries sometimes use 4 cm-1. Select the resolution that gives the best validated prediction error and lock it in the method, since changing resolution affects the calibration.
Qualification follows a documented process: installation and operational checks, performance verification using reference standards such as a photometric standard or a stable sample, and continued performance checks at a defined interval. Software and calibration models are validated separately. Records of reference checks and model updates support regulatory inspections.
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.
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