RG Pro Spectrometer

Unlock the Low-Frequency Raman and explore what standard Raman spectrometers cannot see

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Software

Technical Specifications

Accesories

Unique Selling Points

RG Pro Spectometer Key Features RG Pro Spectometer Key Features RG Pro Spectometer Key Features

Ultra-low-frequency detection

(25 – 70 cm⁻¹)

Simultaneous access to low frequency (below 70 cm⁻¹) and fingerprint regions

High Spectral Resolution

and excellent signal-to-noise ratio

Multiple laser options

532 / 785 / 830 nm

Compact and portable

Compatible with microscopes

Technology Technology Technology

The RG PRO extends Lightnovo’s Raman range below 70 cm⁻¹ — reaching the low frequency ( THz -terahertz)) range that reveals intermolecular and lattice vibrations.
This means direct insight into crystal structure, phase transitions, and polymorphism — all within one compact, high-performance instrument.

Why Low-Frequency Raman Matters

Below 200 cm⁻¹ lies the structural fingerprint of materials —
lattice vibrations, phonon modes, and weak intermolecular forces that determine stability, crystallinity, and phase behavior.
The RG PRO opens this region, delivering a complete vibrational picture from 25 to 4000 cm⁻¹ in one scan.

Technical Specifications Technical Specifications Technical Specifications

Feature versus model	PRO RG spectrometer 532	PRO RG spectrometer 785	PRO RG spectrometer 830
Laser wavelength	532nm	785 nm	830 nm
Power on sample	10-100 mW 0.01-90 mW (LPR)	10-95 mW 0.01-80 mW (LPR) 5->500 mW (Power) 0.01->500 mW (Power LPR)	5-70 mW 0.01-65 mW(LPR) 10->500 mW (Power) 0.1-400 mW (Power LPR)
Spectral Range	38-3700 cm⁻¹ 38-2040 cm⁻¹ (HR)	25 - 2500 cm⁻¹	40 - 2400 cm⁻¹
Spectral Resolution	4 / 5 / 6 cm⁻¹ 2.3 / 3 / 3.7 cm⁻¹ (HR)	3 / 4 / 5 cm⁻¹	3 / 4 / 5 cm⁻¹
Signal-to-noise ratio	1200:1 1000:1 (LPR) 800:1 (HR) 600:1 (HR LPR)	1000:1 800:1 (LPR) 3000:1 (Power) 2500:1 (Power LPR)	900:1 800:1 2500:1 (Power) 2000:1 (Power LPR)

Specifications

*Actual laser power range can differ ± 2 % per device. Please contact us if you need specific laser power range values.
** Slit size dependent; slit size can be customized (20,35,50 um slits)
*** Determined as peak signal-to-noise ratio of polystyrene spectrum at maximal laser power,
integration time 0.3s, number of repetitions 10.

RG PRO vs RG Spectrometer RG PRO vs RG Spectrometer RG PRO vs RG Spectrometer

Feature	RG Spectrometer	RG PRO Spectrometer
Spectral range	70 – 4000 cm⁻¹	25 – 4000 cm⁻¹*
Low-frequency capability	Limited	THz-optimized filters
Information	Molecular fingerprint	Fingerprint + intermolecular / lattice modes
Applications	Standard Raman analysis	Advanced R&D: polymorphs, 2D materials, phonons
Form factor	Handheld/Portable / OEM integration	Handheld/Portable / OEM integration
Size and Weight	257 x 110 x 61 mm; 1,5 Kg	350mm, 110mm, 61mm; 1,650 kg
Laser wavelenght	532 / 638 / 785 / 830	532 / 785 / 830

*The exact range depends on excitation wavelength, please check datasheets

Extra Benefits Extra Benefits Extra Benefits

Reveal intermolecular dynamics invisible to standard Raman

Distinguish polymorphic and crystalline phases

Perform non-destructive, fast measurements

Compact and reliable for both laboratory and OEM integration

Miraspec Miraspec Miraspec

Spectrometer system controlled by smartphone orPC via Bluetooth or USB-C cable.

Data acquisition	Laser power control Exposure time control Sensor gain control Number of repetitions control Spectral range control
Data format	Export data in the following formats: tsv, txt and jdx
Data preprocessing options	Spike correction (Whittaker-Hayes, moving window) Spectral smoothing (Whittaker, asymmetric least squares, Savitzky-Golay) Baseline correction (rolling circle, rubberband, least squares, asymmetrically reweighted penalized) Spectrum normalization (Z-score, mean, Mean centre, MinMax, Unit Norm L1, Unit Norm L2)
Data Exploration	Principal component analysis Non-negative matrix factorization (SIMPLISMA-NNLS, MCR-ALS)
Qualitative analysis	Material identification (Pearson correlation, square Euclidean cosine, square first difference Euclidean cosine) Creation of spectral libraries
Quantitative analysis	Principal component regression Raman peak height/peak area calibration Partial Least Squares (PLS) calibration
Classification	Random Forest, Linear SVM, AdaBoost, Decision Tree, Hoefding Tree, Naïve Bayes, Perceptron, Softmax Regression