The Research On Detection Of Phenols In Garbage Compost Based On The Method Of Enzyme Biosensor-BP Neural Network

Phenols are widely exist in the environment.As hazardous substances they do harm to the health of humankind.Solving the problem of detection of phenols is urgent for us which also makes significant sence to environmental monitoring.Currently high performance liquid chromatography(HPLC)and spectrophotography are applied for the detection of phenols most.However there are some disadvantages in these methods.The former needs a predissociation of the sample while the latter can be interfered by impurities.Furthermore in the procedure of the former's dissociation needs a pretreatment which will cost much time while the detection instruments are very expensive and unportable.So the two methods are not perfect.It is very important for us to look for a new method which can be applied for rapid and low cost on-line detection of phenols.In recent years,people use enzyme biosensor for the detection of phenols which can reach a satisfied purpose and also offers a tech support for rapid and low cost on-line detection of phenols.The study results of experts both home and abroad are summarized in this paper.The author also make some studies on the detection of catechol based on the method of enzyme biosensor.In this paper a catechol biosensor was developed and used to analyze compost extracts based on the immobilization of laccase on the surface of modified magnetic core-shall (Fe3O4-SiO2) nanoparticles. Laccase was convalently immobilized on the magnetic nanoparticles by glutaraldehyde,which were modified with amino groups on its surface.The resulting magnetic bio-nanoparticles were attached to the surface of carbon paste electrode with the help of a permanent magnet to determine catechol.The detection of catechol based on the method of enzyme biosensor also exists disadvantage(for example in certain sectors phenol class matter density and highly effective liquid phase chromatography examination result could not very good fitting)so we propose enzyme biosensor examination catechol with the method of neural network.We has established the enzyme sensor-BP neural network examination catechol density model.A BPNN which has one concealed level was established.Here,We use BPNN,because it can be learned and forcasted easily.We obtain the data with the experiment to carry on the training and the test,finally use the network which the training completes to the data to carry on the fitting,We discovered the forecast data and the highly effective liquid phase chromatography obtain the data can be the basic fitting.Thus it can be seen,application of enzyme sensor-BP neural network method examining catechol density obtains the result which is quite ideal,and also provides a new method for fast,real-time examining the density of the phenol class matter.