Portable Near Infrared Test Device Fruit Nondestructive Testing Research

With the growing of the production of fruit in the world, this research will satisfied theconsumer demand in food quality and food safety, improve the supermarket value and competition of fruitproduction and increase the farmer income. The detection of fruit sugar content use near-infraredline non-destructive testing device for at home and abroad, although with a testing speed andtesting high precision, but not convenient to carry and expensive features, restricted in theirfruit harvest sampling, etc. forecast and now a further application.In this study, fruit sugarcontent and soluble solids for the study of indicators from a portable near-infrared detectorprobe. Non-destructive testing of portable near-infrared probe device, NIR spectrometerperformance, non-destructive testing equipment and data pre-processing and calibrationmodel building has been study, the main research contents include:(1) Fruit sugar content portable spectrometer detection of micro-experimental studycomparing selected: paper produced using three Ocean visible/near-infrared spectrometerexperiment. Respectively,75samples of Gannan navel orange spectral acquisition and theestablishment of full-spectrum model, results show that USB4000is the best modeling results.Gannan navel orange in which USB4000calibration set and prediction set of results:correction coefficient (rc)=0.80, standard error of calibration (RMSEC)=0.76predictedcorrelation coefficient (r_p)=0.77, standard error of prediction (RMSEP)=0.83.(2) Fruit sugar content portable detection light source placement choice and experimentalstudy: design and manufacture of each LED and halogen light source with the detection probe,respectively, the sugar content of fruits calibration model established and verified. The best isthe halogen light source of detection device, the model results: rc=0.97, RMSEC=0.32; r_p=0.81, RMSEP=0.76.Halogen lamp as the light source of the detection device, the light distribution and theangle will directly affect the spectral intensity. The experiments were set between the angle of0,30,90,135, and180-degree spectral collection and modeling. The model results: rc=0.89,RMSEC=0.54; r_p=0.70, RMSEP=0.89.The results showed that the angle of view before,and no obvious connection.In light of the probe on the external impact of the experiment, the experimentalrealization of optical probe device for sealing the probe, probe seal, seal fiber optic probe andprobe and probe devices sealed four kinds of seals. The results showed that based on probeseal is the best results, the model results: rc=0.93, RMSEC=0.45; r_p=0.75, RMSEP=0.89.At the same time in this experiment the probe light source and fiber optic probes were placedfor a variety of modeling results show that when the light source aimed at the end of apple fruit, fiber-optic probe targeting the equatorial position, the best modeling results. Test results:rc=0.90, RMSEC=0.53; r_p=0.75, RMSEP=0.82.(3) The paper examines the different pretreatment methods and modeling algorithmGannan navel orange sugar content testing the accuracy of the experiment were collected in60samples of Gannan navel orange energy spectra and absor_ption spectra, and the use ofmultiplicative scatter correction (MSC), first-order differential (1st D), second derivative (2stD), first derivative and second-order differential add additional MSC5various pretreatmentsmethods of spectrum processing. The results show that the energy spectrum of the samplepretreatment by the MSC model the best, the result is: rc=0.91, RMSEC=0.49; r_p=0.85,RMSEP=0.64.(4) Using MLR and PLS, respectively, the energy spectrum of different wavelengthsrange spectrum modeling. Experimental results show that based on the range of557.97-849.27nm band built a mathematical model of the PLS models to predict the highestaccuracy, the result is: rc=0.91, RMSEC=0.49; r_p=0.85, RMSEP=0.64.