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씨디바이오 | CDBIO

Product & Service

VOCs Biosensing Kit
VOCs Bioscopic Analyzer
VOCs Bioscopic App
Research and Development
Product & Service

VOCs Biosensing Kit

CDBIO's molecular diagnostic kit is equipped with advanced molecular diagnostics technology based on molecular physics and electrochemistry, thus is possible to diagnose various diseases, including lung cancer with just one exhalation.

CDBIO's molecular diagnostic kit detects more than 1,000 various volatile organic compounds (VOCs) contained in human respiration with a molecular sensor using lithium endohedral fullerene and is an ultra-precise molecular diagnostic instrument that delivers ppt level accuracy.

Exhalation capturing unit
catching exhales breath
Exhalation collecting unit distinguishing cancer
substances contained in respiration
Molecular sensor containing lithium-endohedral fullerene

Consists of an exhalation capturing unit, an exhalation collecting unit, and a sensor unit

Exhalation capturing unit: Stores about 100cc of exhalation, one-way valve

Exhalation collecting unit: Distinguishes volatile organic compounds (VOCs) from respiration captured by the exhalation capturing unit.

Sensor unit

  1. Detects potential VOC biomarker substances contained in respiration.
  2. Molecular sensor loaded with lithium endohedral fullerene (Li+@C60) and supramolecular dye
  3. About 2,000 trillion ( 1.2×1016 ) sensors are arranged in sequence
  4. The part where the light is irradiated is composed of a transparent window
  5. Disposable, safe for use, and can be collected separately for each part
  6. Diagnoses various diseases, including lung cancer, by replacing the molecular sensor
Product & Service

VOCs Bioscopic Analyzer

< VOCs Bioscopic Analyzer(Personal) >
< Molecular Diagnostic App >

Insert the VOC Biosensing Kit into the Bioscopic Analyzer

Monitoring the presence of disease, progression status, development of therapeutic agents, and administration effects through our analysis algorithm applied with ‘principal component analysis’ and ‘multivariate analysis’ based on the current value measured by the molecular sensor loaded with lithium endohedral fullerene (Li⁺@C60) and supramolecular dye.

Send analysis results and data to VOC Bioscopic app

※ Details of the composition are not shown for confidentiality.
H/W
  • Structured with a VOC-kit mount, (light) energy supply, sensor control, signal standardization, and control
  • VOC-kit mount: VOC-kit binding structure, temperature control (constant)
  • (Light) energy supply: Supplies dye operation energy, composed of LEDs with specific wavelengths
  • Sensor control: Controls the operation connected with the sensor mounted on the VOC kit
  • Signal standardization: Amplifies and processes the VOC signal detected and measured through the sensor
  • Control: Controls VOC system operation
S/W
  • VOC Detection Algorithm: Algorithm to detect VOC by controlling sensor operation
  • VOC Analysis Algorithm: Algorithm to analyze VOC measurement data (principal component analysis, etc.)
  • VCC Diagnosis Algorithm: Algorithm to provide judgment data for disease contraction based on the VOC analysis data
  • Operation algorithm for VOC Biosensing Kit and VOC Bioscopic Analyzer
  • DB Operation Algorithm
Product & Service

VOCs Bioscopic App

Use of the app to check the results for analyzing the fine current value of VOCs measured with the molecular sensor using the self-analysis algorithm where the main ingredient analysis and multivariate analysis are applied.

Implementation of the DB from various information using various sensors of smartphones and self-questionnaire for correlation analysis of the user’s (patient and ordinary people) status and diagnosis results.

Comprehensive summary of personal medical information(EMR/ PGHR) such as user’s molecular diagnosis data obtained from molecular sensors and each individual’s daily life pattern, food eating pattern, hospital treatment records, and various drug dosage records and so on to implement the comprehensive medical big data.

Implementation of integrated platform merging secondary environmental factors, hospital/pharmaceutical information, and treatment technology development status after successful classification of individual patients’ unique physical traits and health conditions into molecular based information systems.

CDBIO Biosensing Kit

Initial Research and Development process