Deep Ultraviolet Light Emitting Diode Peak Wavelength UV-C225nm 230nm 235nm LED SMD

• Customization: Available
• LED Packaging Type: Chip
• Chip Material: InGaN
• Model NO.: YS-H50-F36-H1
• Beam Angle: Tbd
• Emitting Color: 225-235nm
• IP Rating: IP33
• Base Material: UV-C
• LED Chips: Korea
• Power: 0.5W
• Life: 10000hrs
• Certification: RoHS, CE
• Transport Package: 1000PCS/Roll
• Specification: 3.6*3.6*1.5mm
• Trademark: GZYSLED
• Origin: China
• HS Code: 8541410090
• Package Size: 3.00cm * 3.00cm * 3.00cm
• Package Gross Weight: 0.100kg
• Lead Time: 45 days (1 - 10 Pieces) ; To be negotiated ( > 10 Pieces)

Product Description

Deep Ultraviolet Light Emitting diode Peak wavelength 230 nm
Features:
Light Source for Sterilization and Medical Application
▪ Lighting Color(Peak Wavelength) : 230 nm
▪ Surface Mount Type LED: 3.6 x 3.6 x 1.5 (L x W x H) [Unit : mm]
▪ Soldering Methods: Reflow Soldering
Electro-Optical Characteristics (I F = 100 mA, T a = 25 ºC)
Forward Voltage:6-8V;
Radiant Flux:3MW
Peak wavelength:225-230-235nm
Spectrum Half Width:11NM
Viewing Angle:TBD
Thermal Resistance Note 2
(Junction to Solder point):TBD
Package:1000pcs/roll
Notes :
1. Measured by optical spectrum analyzer of YSLED, some values may vary depending
on the conditions of the test equipment.
- Forward Voltage (Vf) : ±0.1V
- Peak Wavelength (λ p ) : ± 3nm
- Radiant Flux (P o ) : ±10%
2. Thermal resistance can be increased substantially depending on the heat sink design/operating
condition, and the maximum possible driving current will decrease accordingly.
applications:
▪ Disinfection, Phototherapy, Fluorescent Spectroscopy, Sensor Light,
Bio-Analysis / Direction, Counterfeit Detector etc.
Operating the LED beyond the listed maximum ratings may affect device reliability and
cause permanent damage. These or any other conditions beyond those indicated under
recommended operating conditions are not implied. The exposure to the absolute maximum
rated conditions may affect device reliability.
- The LEDs are not designed to be driven in reverse bias.