Label-free discrimination of membrane-translocating peptides on porous silicon microfluidic biosensors.

A label-free optical sensor was constructed by integrating electrochemically etched porous silicon (pSi) and supported phospholipid bilayers in a microfluidic chip. The translocation of peptides through the phospholipid bilayers could induce a red shift in effective optical thickness of the pSi layer, which could be monitored by reflective interferometric Fourier transform spectroscopy. By measuring the kinetic data of membrane translocating on the phospholipid bilayers/pSi chip, the relationship between the behavior of membrane-translocating peptides (MTPs) and translocating mechanism was established. With these optical data, MTPs with different action modes on the cell membrane can be correctly discriminated. The bio-functionalized microfluidic sensor will provide a reliable and cost-effective platform to study the transmembrane behavior of peptides, which is of great importance in the MTP screening and peptide function study.

Surface plasmon resonance sensor for antibiotics detection based on photo-initiated polymerization molecularly imprinted array.

A surface plasmon resonance (SPR) sensor combined with nanoscale molecularly imprinted polymer (MIP) film as recognition element was developed for selective detection of the antibiotic ciprofloxacin (CIP). The MIP film on SPR sensor chip was prepared by in situ photo-initiated polymerization method which has the advantages of short polymerization time, controllable thickness and good uniformity. The surface wettability and thickness of MIP film on SPR sensor chip were characterized by static contact angle measurement and stylus profiler. The MIP-SPR sensor exhibited high selectivity, sensitivity and good stability for ciprofloxacin. The imprinting factors of the MIP-SPR sensor to ciprofloxacin and its structural analogue ofloxacin were 2.63 and 3.80, which is much higher than those to azithromycin, dopamine and penicillin. The SPR response had good linear relation with CIP concentration over the range 10-11-10-7molL-1. The MIP-SPR sensor also showed good repeatability and stability during cyclic detections. On the basis of the photo-initiated polymerization method, a surface plasmon resonance imaging (SPRi) chip modified with three types of MIP sensing spots was fabricated. The MIPs-SPRi sensor shows different response patterns to ciprofloxacin and azithromycin, revealing the ability to recognize different antibiotic molecules.

Multi-dimensional on-particle detection technology for multi-category disease classification.

A serum peptide profile contains important bio-information, which may help disease classification. The motivation of this study is to take advantage of porous silicon microparticles with multiple surface chemistries to reduce the loss of peptide information and simplify the sample pretreatment. We developed a multi-dimensional on-particle MALDI-TOF technology to acquire high fidelity and cross-reactive molecular fingerprints for mining disease information. The peptide fingerprint of serum samples from colorectal cancer patients, liver cancer patients and healthy volunteers were measured with this technology. The featured mass spectral peaks can successfully discriminate and predict the multi-category disease. Data visualization for future clinical application was also demonstrated.

Bacteria detection based on its blockage effect on silicon nanopore array.

Bacteria detection plays an important role in the guarantee of food and water safety. This work proposed a new sensing strategy for the rapid detection of bacteria based on its blockage effect on nanopore array, which was prepared from electrochemically etched silicon. With the assistance of microfluidic technology, the nanopore array attached with Escherichia coli antibody can selectively and rapidly capture E. coli bacteria, resulting in the decrease of pore accessibility. The signal of pore blockage can be measured by in-direct Fourier Transformed Reflectometric Interference Spectroscopy (FT-RIS). The pore blockage signal has a linear relationship with the logarithm of bacterial density in aqueous sample within the range from 10(3) to 10(7)cfuml(-1). Due to the specific interaction between the antibody and target bacteria, only the E. coli sample displayed significant pore blockage effect, whereas the non-target bacteria, Nox and P17, almost did not show any pore blockage effect. The strategy established in this work might be pervasively applied in the rapid detection of target bacteria and cell in a label-free manner.