Analyzers

Here is a list of other advanced technologies developed by Professor Ozcan’s laboratory. For licensing contact UCLA Office of Intellectual Property.   For research contracts or collaboration please contact  info@cellmic.com, 310.443.2070.

Allergen Tester

A mobile platform for quantitative allergen testing in food samples

6Allergen Testing Platform on a Cellphone
Cellmic’s personalized food allergen testing platform automatically analyses colorimetric assays toward sensitive and specific detection of allergens in food samples. Weighing approximately 40 grams, this digital tool can quantify peanut contamination in food samples with a minimum detection level of ~1 ppm (parts per million), finding applications in various public health settings.

Selected Publication:

  • A.F. Coskun, J. Wong, D. Khodadadi, R. Nagi, A. Tey, and A. Ozcan, Lab Chip (2012), DOI:10.1039/C2LC41152K

Urine Analyzer

Smartphone based tool to screen your albumin levels within seconds

Urine_albumin_Analyzer
This smartphone-based albumin tester could be helpful for early diagnosis of kidney disease or for monitoring chronic patients, especially those suffering from diabetes, hypertension, and/or cardiovascular diseases.
Selected Publication:

  • A.F. Coskun, R. Nagi, K. Sadeghi, S. Phillips, and A. Ozcan, Lab on a Chip (2013), DOI: 10.1039/C3LC50785H

Mercury Analyzer

A portable, cost-effective and sensitive environmental screening platform

Cellphone_Mercury_Analyzer
Cellmic’s novel technology allows the quantification of mercury ions in water samples with parts per billion (ppb) level of sensitivity in field settings. Utilizing a smartphone attachment that weighs less than 40 grams, this mobile tool is wirelessly integrated into cloud services, and useful for tracking and sharing real-time water contamination information. Using this wireless platform, a mercury contamination map has been generated by measuring water samples at over 50 locations in California (USA).

Selected Publication:

  • A. Q. Wei, R. Nagi, K. Sadeghi, S. Feng, E. Yang, S. Ki, R. Caire, D. Tseng, and A. Ozcan, ACS Nano (2014), DOI: 10.1021/nn406571t