CMOS image sensor based HIV diagnosis: a smart system for point-of-care approach

Jasmine Pramila Devadhasan1,김상효 한국바이오칩학회 2013 BioChip Journal Vol.7 No.3

We report on the use of a complementary metal oxide semiconductor (CMOS) image sensor in an immunodiagnostic system for detecting the human immunodeficiency virus (HIV). It is based on photon counting and the interaction of the HIV antigen (Ag)with respective antibodies, which are deposited in various thicknesses on indium nanoparticles (InNPs) substrate. The sensor measures the number of photons that depends on the concentration of HIV Ag and converts them into digital numbers. Photons are refracted on the protein adsorbed InNP substrate and hit the CMOS image sensor surface based on the Ag concentration. Topographical studies such as field emission scanning electron microscopy (FE-SEM) and fluorescence microscopy images are demonstrated the reliability of this scheme. Also, the UV-spectral studies proved the efficiency of the analysis with InNP substrate. The sensor is simple, compact, highly specific and accurate. Also, it can detect HIV at levels as low as 10 fg mL-1. Therefore, the sophisticated system of the CMOS image sensor based immunodetection now requires point-of-care (POC) diagnosis.

Whole blood glucose analysis based on smartphone camera module

Devadhasan, Jasmine Pramila,Oh, Hyunhee,Choi, Cheol Soo,Kim, Sanghyo SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS 2015 JOURNAL OF BIOMEDICAL OPTICS Vol.20 No.11

CMOS Image Sensor for Rapid Chemical Detection

Devadhasan, Jasmine P.,Shao, Mingwei,Wang, Li-Jun,Wang, Li-Jun,Monaghan, James M. Engineering and Technology Publishing 2014 Journal of life sciences and technologies Vol.2 No.1

CMOS image sensor-based immunodetection by refractive-index change.

Devadhasan, Jasmine P,Kim, Sanghyo Japan Society for Analytical Chemistry 2012 Analytical sciences Vol.28 No.9

<P>A complementary metal oxide semiconductor (CMOS) image sensor is an intriguing technology for the development of a novel biosensor. Indeed, the CMOS image sensor mechanism concerning the detection of the antigen-antibody (Ag-Ab) interaction at the nanoscale has been ambiguous so far. To understand the mechanism, more extensive research has been necessary to achieve point-of-care diagnostic devices. This research has demonstrated a CMOS image sensor-based analysis of cardiovascular disease markers, such as C-reactive protein (CRP) and troponin I, Ag-Ab interactions on indium nanoparticle (InNP) substrates by simple photon count variation. The developed sensor is feasible to detect proteins even at a fg/mL concentration under ordinary room light. Possible mechanisms, such as dielectric constant and refractive-index changes, have been studied and proposed. A dramatic change in the refractive index after protein adsorption on an InNP substrate was observed to be a predominant factor involved in CMOS image sensor-based immunoassay.</P>

Toward CMOS image sensor based glucose monitoring

Devadhasan, Jasmine Pramila,Kim, Sanghyo The Royal Society of Chemistry 2012 The Analyst Vol.137 No.17

<P>Complementary metal oxide semiconductor (CMOS) image sensor is a powerful tool for biosensing applications. In this present study, CMOS image sensor has been exploited for detecting glucose levels by simple photon count variation with high sensitivity. Various concentrations of glucose (100 mg dL<SUP>−1</SUP> to 1000 mg dL<SUP>−1</SUP>) were added onto a simple poly-dimethylsiloxane (PDMS) chip and the oxidation of glucose was catalyzed with the aid of an enzymatic reaction. Oxidized glucose produces a brown color with the help of chromogen during enzymatic reaction and the color density varies with the glucose concentration. Photons pass through the PDMS chip with varying color density and hit the sensor surface. Photon count was recognized by CMOS image sensor depending on the color density with respect to the glucose concentration and it was converted into digital form. By correlating the obtained digital results with glucose concentration it is possible to measure a wide range of blood glucose levels with great linearity based on CMOS image sensor and therefore this technique will promote a convenient point-of-care diagnosis.</P> <P>Graphic Abstract</P><P>Complementary metal oxide semiconductor image sensor is a powerful tool for biosensing applications. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c2an35458f'> </P>

CMOS image sensors as an efficient platform for glucose monitoring

Devadhasan, Jasmine Pramila,Kim, Sanghyo,Choi, Cheol Soo The Royal Society of Chemistry 2013 The Analyst Vol.138 No.19

<P>Complementary metal oxide semiconductor (CMOS) image sensors have been used previously in the analysis of biological samples. In the present study, a CMOS image sensor was used to monitor the concentration of oxidized mouse plasma glucose (86–322 mg dL<SUP>−1</SUP>) based on photon count variation. Measurement of the concentration of oxidized glucose was dependent on changes in color intensity; color intensity increased with increasing glucose concentration. The high color density of glucose highly prevented photons from passing through the polydimethylsiloxane (PDMS) chip, which suggests that the photon count was altered by color intensity. Photons were detected by a photodiode in the CMOS image sensor and converted to digital numbers by an analog to digital converter (ADC). Additionally, UV-spectral analysis and time-dependent photon analysis proved the efficiency of the detection system. This simple, effective, and consistent method for glucose measurement shows that CMOS image sensors are efficient devices for monitoring glucose in point-of-care applications.</P> <P>Graphic Abstract</P><P>The complementary metal oxide semiconductor image sensor is an efficient platform for glucose monitoring. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c3an00805c'> </P>

Fish-on-a-chip: a sensitive detection microfluidic system for alzheimer's disease

Devadhasan, Jasmine P,Kim, Sanghyo,An, Jeongho BioMed Central 2011 Journal of biomedical science Vol.18 No.1

<P>Microfluidics has become an important tool in diagnosing many diseases, including neurological and genetic disorders. Alzheimer's disease (AD) is a neurodegenerative disease that irreversibly and progressively destroys memory, language ability, and thinking skills. Commonly, detection of AD is expensive and complex. Fluorescence in situ hybridization (FISH)-based microfluidic chip platform is capable of diagnosing AD at an early stage and they are effective tools for the diagnosis with low cost, high speed, and high sensitivity. In this review, we tried to provide basic information on the diagnosis of AD via FISH-based microfluidics. Different sample preparations using a microfluidic chip for diagnosis of AD are highlighted. Moreover, rapid innovations in nanotechnology for diagnosis are explained. This review will provide information on dynamic quantification methods for the diagnosis and treatment of AD. The knowledge provided in this review will help develop new integration diagnostic techniques based on FISH and microfluidics.</P>

Overview of CMOS image sensor use in molecular diagnostics

Jasmine Pramila Devadhasan,유인상,김상효 한국물리학회 2015 Current Applied Physics Vol.15 No.3

CMOS sensors comprise an important tool in bioscientific applications. This review focuses on CMOS sensor-based molecular diagnostics of DNA, protein, and metabolic molecules. Herein, gene sequencing, DNAeDNA hybridization, single nucleotide polymorphisms (SNP), protein interactions, peptide interactions, antigeneantibody (AgeAb) interactions, as well as glucose and cholesterol monitoring using CMOS sensors are discussed along with existing experimental outcomes. CMOS sensor based electrochemical, optical, impedance, dual, continuous, and label-free analysis and their related integration techniques are explained. Moreover, we describe the utilization of a CMOS chip in microarray fabrication, assay platform development, and transducer incorporation for molecular diagnostics. Furthermore, CMOS sensor-based point-of-care (POC) applications, other biological analyses, and the role of nanoparticles in biomolecular sensing are discussed. Future directions include information about the novel integration of CMOS sensor-based molecular diagnostic devices with a central focus towards enhancement of POC approaches. This review is helpful in creating highly sensitive, cheaper, and user-friendly biomedical devices with modern dimensions.

Real-time DNA Amplification and Detection System Based on a CMOS Image Sensor

Wang, T.,Devadhasan, J. P.,Lee, D. Y.,Kim, S. Japan Society for Analytical Chemistry 2016 Analytical sciences Vol.32 No.6

<P>In the present study, we developed a polypropylene well-integrated complementary metal oxide semiconductor (CMOS) platform to perform the loop mediated isothermal amplification (LAMP) technique for real-time DNA amplification and detection simultaneously. An amplification-coupled detection system directly measures the photon number changes based on the generation of magnesium pyrophosphate and color changes. The photon number decreases during the amplification process. The CMOS image sensor observes the photons and converts into digital units with the aid of an analog-to-digital converter (ADC). In addition, UV-spectral studies, optical color intensity detection, pH analysis, and electrophoresis detection were carried out to prove the efficiency of the CMOS sensor based the LAMP system. Moreover, Clostridium perfringens was utilized as proof-of-concept detection for the new system. We anticipate that this CMOS image sensor-based LAMP method will enable the creation of cost-effective, label-free, optical, real-time and portable molecular diagnostic devices.</P>

Recent analytical approaches to detect exhaled breath ammonia with special reference to renal patients

Krishnan, S. T.,Devadhasan, J. P.,Kim, S. Springer 2017 Analytical and Bioanalytical Chemistry Vol.409 No.1

<P>The ammonia odor from the exhaled breath of renal patients is associated with high levels of blood urea nitrogen. Typically, in the liver, ammonia and ammonium ions are converted into urea through the urea cycle. In the case of renal dysfunction, urea is unable to be removed and that causes a buildup of excessive ammonia. As small molecules, ammonia and ammonium ions can be forced into the blood-lung barrier and occur in exhaled breath. Therefore, people with renal failure have an ammonia (fishy) odor in their exhaled breath. Thus, exhaled breath ammonia can be a potential biomarker for monitoring renal diseases during hemodialyis. In this review, we have summarized the source of ammonia in the breath of end-stage renal disease patient, cause of renal disorders, exhaled breath condensate, and breath sampling. Further, various biosensor approaches to detect exhaled ammonia from renal patients and other ammonia systems are also discussed. We conclude with future perspectives, namely colorimetric-based real-time breathing diagnosis of renal failure, which might be useful for prospective studies.</P>