This letter reports a chemiluminescene immunoassay method combined with immunomagnetic separation to rapidly detect Cyfra 21-1, in which bio-functionlized magnetic nanocomposites were used as mobile substrate for capturing and isolating the cyfra 21-1 proteins. After the captured Cyfra 21-1 further reacted with horseradish peroxidase-conjugated anti-Cyfra 21-1 antibody to form a sandwich immunocomplex, the chemiluminescence would be produced as a result of addition of the chemiluminescent substrate. A home-made optical biosensor was designed to detect the chemiluminescence instead of other large instruments. There is a good linear response between the chemiluminescence intensity and the concentration of Cyfra 21-1 in the range from 0.2 to 50 ng/mL. The whole detection process including incubation, washing and detection could be performed within 45 min. The proposed method offers a simple, noninvasive and reliable tool for detecting non-small cell lung cancer and has potential application for clinical testing.
To achieve a dopamine （DA） response with high sensitivity and high signal-to-noise ratio （S/N） with a patch-clamp system, polypyrrole/graphene （PPy/GR） nanocomposites were steadily electrodeposited by an electrochemical method on a planar mi- croelectrode array （pMEA） fabricated by a standard micromachining process. The electrodeposition process was carried out by chronopotentimetry measurement scanning from 0.1 to 0.8 C/cm2 at the current of 2 mA; 0.5 C/cm2 was found to be optimal. The pMEA modified by PPy/GR at the 0.5 C/cm2 exhibits remarkable properties; for instance, the standard deviation （SD） de- creases from 8.4614×10-al to 5.62×10 11 A, reduced by 33.52%, and the sensitivity increases from 2566.88 to 76114.65 gAmMcm2 , 29.65 times higher than the bare Pt （platinum）. A good linear relationship between the current and DA concentra- tion in the range of 0.30 to 61.71 grn was obtained, with a correlation coefficient of 0.997. The sensor is meaningful for neuro- science research and the treatment of neurological diseases.
WANG LiJIANG TingJunSONG YiLinSHI WenTaoCAI XinXia
