RS1500DI Handheld Raman Spectrometer for pharmaceutical
JINSP RS1500DI can perform 100% package-by-package inspection of both raw materials and packaging materials. It can quickly identify raw materials in warehouses, material preparationrooms, production workshops, etc., helping pharmaceutical companies to quickly release materials.
RS1500DI uses a unique 1064nm laser with a broad detection range, especialy for aminoacids, coenzymes, cellulose and other raw materials with strong fluorescent signals. Furthermore, RS1500DI is compliant with relevant regulations such as FDA 21 CFR Part11 and GMP.
| Item | Description |
| Laser | 1064nm |
| Size | 176mm*87mm*33mm |
| Weight | 730g |
| Connection | Wi-Fi,4G,Bluetooth,Micro-USB |
| Operation | 5' Touch Screen,big button,intuitive man-machine interface operation |
| Power Supply | Rechargeable lithium battery,4-6h |
| Detection Range | Chemical ram materials;Pharmaceutical excipients;Packing materials;Biochemical raw materials;Pigment excipients |
| Result | Name,Property,Spectrum,MSDS,Result-report |
Technical Features
● Quick response: identification can be completed within a few seconds
● Response quickly: the identification can be completed within a few seconds
● Non-destructive identification: direct detection through glass, woven bags, plastic and other packaging
● Compact and lightweight: it can be moved flexibly in warehouses, material preparation rooms,andproduction workshops etc.
● Real-time sampling: no need to sampling,simple and safe
● Identification accuracy: advanced machine learning algorithm supports accurate recognition strong specificity
Wide Detection Range
● Chemical raw materials: aspirin, folic acid, nicotinamide, etc.
● Pharmaceutical excipients: salts, alkalis, sugars, esters, alcohols, phenols, etc.
● Packaging materials: polyethylene, polypropylene, polycarbonate, ethylene-vinyl acetate copolymer, etc.
Compared with ordinary 785nm Raman, it has stronger detection ability
● Biochemical raw materials: amino acids and their derivatives, enzymes and coenzymes, proteins,etc.
● Pigment excipients: carmine, carotene, curcuminchlorophyll, etc.
● Other polymer excipients: gelatin, microcrystalline cellulose, etc.
Related legislation
GMP2015. Article 110 of chapter 6: Corresponding operating procedures shall be formulated, and appropriate measures such as checking or inspection shall be taken to confirm that the raw and auxiliary materials in each package are correct.
Chinese Pharmacopoeia 2020. Chapter 0421 Raman spectroscopy: Raman spectroscopy can provide information on functional groups in sample molecules, so it can be used for identification tests and structural analysis.
Company introduction
JINSP Company Limited, abbreviated as "JINSP", is a professional supplier with over 17 years of experience in spectral detection technology products, including Raman, FT-IR, LIBS technologies, etc. After 17 years of technology accumulation, the company’s core key technologies have reached the international leading position at the level, and the cumulative number of patent applications exceeded 200.
JINSP offers over twenty spectroscopic products across various fields, including pharmaceutical and chemical industries, public security, and customs. Products are available nationwide and are exported to over 30 countries, with cumulative sales exceeding 3,000 units.
Benefit from 30+ R&D engineers, including 4 Ph.D., JINSP is deeply rooted in the field of personalized product customization, and is committed to meeting the diverse and unique needs of customers with excellent professional technology and innovative design capabilities.
FAQ:
Q: What is the brand name of the pharmaceutical spectrometer?
A: The brand name of the pharmaceutical spectrometer is JINSP.
Q: What is the model number of pharmaceutical rapid identification?
A: The model number of the pharmaceutical spectrometer is RS1000DI.
Q: Is the pharmaceutical rapid identification Spectrometer certified?
A: Yes, It certified with CE.
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1064nm Handheld Raman Spectrometer RS1500DI High-fluorescence Polymeric Raw Materials Detection Images
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