Features

>> Small size, light weight, aluminum alloy case

>> Using the Android system, the user experience is good

>> The algorithm is fast, and the recognition rate is high.

>> Users can build their database, and the local database can be used offline without being connected to the Internet.

>> Many detection modes exist, including substance detection, mixture analysis, and multiple spectral contrast analysis interfaces.

>> With the ID card identification module, you can quickly read ID card information (optional)

>> Can connect to PC through USB cable without using the device, through PC software

>> Equipped with a portable Bluetooth printer for on-site printing of reports

>> Can be fitted with Raman-enhanced substrate

>> There is a noise reduction function. For samples with weak Raman spectra, the number of acquisitions can be set, the spectral noise is reduced, and the signal-to-noise ratio is improved to achieve a better matching effect.

>> Overexposure adaptive algorithm

>> Detectable water

Raman Principle

When light illuminates a substance, the incident photons are inelastically scattered with the material molecules, and the energy of the scattered photons changes. This inelastic scattering was discovered by the Indian physicist C.V.  Raman in 1928 and is called Raman scattering.

The difference between the energy of the Raman scattered photons and the incident photons depends on the electronic energy level of the molecules of he radiated material.  Different material molecules have different vibrational and rotational levels. Therefore, the molecular molecules can be identified by analyzing the spectrum of Raman scattered light, which is also called "molecular fingerprint".  The  Raman spectroscopy technology used for material identification is accurate, non-destructive, and fast.

Based on this principle, Raman spectroscopy uses a laser to illuminate the detected substance, detect the Raman spectrum of the measured object, and identify the substance to be tested by comparing it with the spectrum in the spectral library.

HG1000 is based on Raman spectroscopy technology. The core component is an optical module. The optical module is mainly composed of a laser, an external light path, and a spectrometer.

The following figure shows:

Analysis Step

The completion of the detection of a test object generally requires five steps of excitation, collection, filtering, spectrometry, and detection and analysis, as follows:

(1)  Excitation: The laser emits laser light, and after filtering the spontaneous background radiation through the excitation light filter, the lens is focused on the measured substance.;

(2) Collection: After the laser irradiates the substance to be measured, the incident photons are scattered by the substance molecules. The scattered light contains both Rayleigh scattering of the same wavelength as the incident light and Raman scattering of a different wavelength from the incident light. A part of the scattered light is collected by the lens and collimated into parallel light.

(3)  Filtering: The scattered light collected and collimated by the collected optical path passes through a specially coated filter, wherein the Rayleigh scattering having the same wavelength as the incident light is filtered by the filter, and the wavelength is longer than the wavelength of the incident light. Raman-scattered light can pass through the filter.

(4) Spectroscopic: The filtered Raman scattered light enters the spectrometer and is diffracted by the  grating  in  the  spectrometer,  so  that  the  different  wavelengths  of  light  are  separated  and irradiated to different pixels of the CCD detector;

(5)  Detection and analysis: The CCD can convert the optical signal into an electrical signal. By reading the intensity of the electrical signals on different pixels,  the optical signal intensity of different wavelengths can be obtained, thereby obtaining the Raman spectrum of the measured substance. By comparing the peak position and peak intensity information of the Raman spectrum of the measured substance with the spectrum data of the characteristic substance stored in the spectrum library, it is possible to know whether the substance to be tested is a dangerous product and to know the type of dangerous goods.

Technical Parameters

Attachment: List of libraries