Short Description

• JINSP RS1000DI drug identification instrument can perform 100% package-by-package inspection of raw materials and packaging materials. it can quickly identify raw materials in warehouses, material preparation rooms, production workshops, etc.
  
  
• RS1000DI meets the requirements of FDA 21 CRF part11 and GMP and other relevant regulations. We are committed to providing comprehensive technical support services in method establishment, verification, and 3Q certification.

Technical characteristics

• 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, and production workshops, etc.
• Real-time sampling: no need for sampling, simple and safe
• Identification accuracy: an advanced machine learning algorithm supports accurate recognition with strong specificity

Wide Detection Range

• Chemical raw materials: aspirin, acetaminophen, folic acid, nicotinamide, etc.
• Pharmaceutical excipients: salts, alkalis, sugars, esters, alcohols, phenols, etc.
• Packaging materials: polyethylene, polypropylene, polycarbonate, ethylene-vinyl acetate copolymer, etc.

No Sampling Required

• It can directly detect through woven bags, plastic, glass, paper packaging, and other types of packaging.

Wide Application Area

• Compact and lightweight, a single device can fulfill the requirements of multiple environments, including warehouses, material preparation rooms, and production workshops

Related legislation

• 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.