Non-destructive Device Research Articles

Point-of-care testing based on colorimetric loop-mediated isothermal amplification coupled with a nondestructive device for rapid detection of Kudoa septempunctata in live olive flounder

Point-of-care testing based on colorimetric loop-mediated isothermal amplification coupled with a nondestructive device for rapid detection of Kudoa septempunctata in live olive flounder

Combining non-destructive devices and multivariate analysis as a tool to quantify the fatty acid profiles of linseed genotypes

Linseed (Linum usitatissimum L.) and linseed oil, with a fatty acid profile rich in both macro and micro elements, are recognized as functional foods due to their valuable positive effects on health. Fatty acids composition (FAC) is a key indicator in assessing the quality of linseeds. The FAC of linseed is typically determined using chromatographic methods, yielding highly accurate results. However, chromatographic methods entail drawbacks such as requiring pre-chemical processes, generating chemical waste, and being both expensive and time-consuming, similar to chemical analyses. This study focused on the feasibility of colorimeter and FT-NIRS data to determine the FAC (%), protein (%) and neutral detergent fiber (NDF %) in linseed samples. By employing the PLSR analysis based on FT-NIRS, it was determined that the ratios of stearic (R2val = 0.74, RMSEP = 0.09 %), oleic (R2val = 0.75, RMSEP = 0.26 %), linoleic (R2val = 0.85, RMSEP = 0.58 %), linolenic (R2val = 0.71, RMSEP = 1.07 %), 8,11,14 eicosatrienoic (R2val = 0.77, RMSEP = 0.02 %), margaric (R2val = 0.71, RMSEP = 0.01 %), myristic (R2val = 0.75, RMSEP = 0.02 %), and behenic (R2val = 0.74, RMSEP = 1.12 %) in linseed could be successfully predicted. Furthermore, results demonstrated that the protein (R2val = 0.87, RMSEP = 0.9 %) and NDF (R2val = 0.90, RMSEP = 0.6 %) content in linseeds can be successfully predicted. PLSR demonstrated that FT-NIRS had relatively higher predictive capability compared to color models.

Electronic Nose and Gas Chromatograph Devices for the Evaluation of the Sensory Quality of Green Coffee Beans.

The aim of this work is to discriminate between the volatile org9anic compound (VOC) characteristics of different qualities of green coffee beans (Coffea arabica) using two analysis approaches to classify the fresh product. High-quality coffee presented the highest values for positive attributes, the highest of which being fruity, herbal, and sweet. Low-quality samples showed negative attributes related to roasted, smoky, and abnormal fermentation. Alcohols and aromatic compounds were most abundant in the high-quality samples, while carboxylic acids, pyrazines, and pyridines were most abundant in the samples of low quality. The VOCs with positive attributes were phenylethyl alcohol, nonanal and 2-methyl-propanoic acid, and octyl ester, while those with negative attributes were pyridine, octanoic acid, and dimethyl sulfide. The aroma quality of fresh coffee beans was also discriminated using E-nose instruments. The PLS-DA model obtained from the E-nose data was able to classify the different qualities of green coffee beans and explained 96.9% of the total variance. A PLS chemometric approach was evaluated for quantifying the fruity aroma of the green coffee beans, obtaining an RP2 of 0.88. Thus, it can be concluded that the E-nose represents an accurate, inexpensive, and non-destructive device for discriminating between different coffee qualities during processing.

3D Reconstruction of embedded object using ground penetrating radar

Ground Penetrating Radar (GPR) is a non-destructive device widely used to locate and map underground utilities such as pipes, cables, etc. Its principle is based on the reflection signal of a transmitter-receiver antenna that strikes underground objects by means of the propagation of a short pulse of electromagnetic waves into the ground. The GPR will produce a hyperbolic curve as a result of the object’s presence. Accurate interpretation of hyperbola curves is greatly important and highly depends on user expertise; thus, it is considered a challenge. To address this issue, this study aims to develop 3D reconstructions of embedded objects. In this study, C-scan images were acquired, and 3D interpolation and the Synthetic Aperture Focusing Technique (SAFT) were introduced. In this framework, the acquired data is subjected to pre-processing techniques via time-zero correction, background removal using average background subtraction, and Kirchoff’s migration method. The software Reflex 3D Scan has been used to analyse and preprocess the 3D reconstruction of embedded objects. The obtained results show that 3D interpolation and SAFT methods are not only able to reconstruct 3D models but are also able to reveal information on the dimension and location of the buried object represented by voxel points in the 3D space cube.

Nondestructive rainbow trout (Oncorhynchus mykiss) freshness estimation by using an affordable open-ended coaxial technique.

In the present work, a nondestructive device set up for a rapid and reliable freshness assessment of rainbow trout during 10 days of storage in ice was evaluated. The device was characterized by a vector network analyzer interfaced with an open coaxial probe to be placed in contact with the fish eye. The acquisition of the reflected scattering parameter (S11), which is the ratio between the amplitude of the reflected and the incident signal, was assessed in the 50kHz-3GHz spectral range. S11 is composed of a real part and an imaginary part, and both parts were used to predict quality index method for freshness evaluations. Partial least squares regression predictive models of the demerit scores related to fish eye attributes (eye pupil and eye shape) and the day of storage were set up. The main results showed that both the real and imaginary parts of the S11 decrease as a function of storage time. The combination with multivariate analysis allowed to set up predictive models of the storage time and the demerit scores with R2 values up to 0.946 (root mean square error [RMSE]=0.88 days) and 0.942 (RMSE=3.17 demerit scores related to the fish eyes attributes), respectively (external validation). According to our results, the proposed cheap solution appears a useful tool for the freshness assessment of rainbow trout. PRACTICAL APPLICATION: This work shows that dielectric properties have the potential to discriminate stored fish according to their freshness quality. A device based on this principle can play a significant role in the postharvest processes, contributing to higher product quality and safety and supporting producers and retailers during the qualitative inspections.

A Two-Dimensional Non-Destructive Beam Monitoring Detector for Ion Beams

A two-dimensional beam monitoring detector named π2 has been developed and tested at the Bern University Hospital, using an 18 MeV proton beam provided by a medical cyclotron. This non-destructive device utilises a scintillating compound (P47 phosphor) coated onto a thin aluminium foil that is angled at 45∘ with respect to the beam axis. The scintillating light produced when the beam passes through the foil is captured by a CMOS camera, resulting in a two-dimensional image of the beam profile. Custom software is then used to analyse the image and extract valuable information about the beam’s position, shape, and intensity. The focus of the experimental work was on characterising the performance of the π2 with the 18 MeV proton beam. The linearity of the detector’s output signal was evaluated for proton fluxes ranging from 2·1010cm−2·s−1 to 5·1011cm−2·s−1. Furthermore, the beam profiles measured with the π2 were found to be consistent with reference measurements obtained using alternative beam monitors. Additionally, the experiments also involved studying the beam scattering caused by the foil and scintillating layer. Finally, in a long-term radiation test, the detector demonstrated a stable response up to an integrated proton flux of 3·1015cm−2. The π2 is currently being used at the Bern cyclotron for monitoring beams in the development of new methods for medical radioisotope production and for radiation hardness studies. The π2 has potential applications in several fields that involve the use of accelerated ions, such as cancer particle therapy, medical radioisotope production and radiation hardness studies.

An Evaluation of Vertical Dynamic Stress Attenuation for Compacted Coarse-Grained Soils

Coarse-grained soil (CGS), as a filler with the characteristics of high bearing capacity but difficult compaction for embankment construction, requires an appropriate thickness of a single compaction layer according to the influence depth of vertical dynamic stress. In this paper, a numerical analysis using PFC2D was conducted by following a scale model test with different particle gradations of compacted CGS fillers by adopting a modified PFWD. The results show that the influence depth is about 50 cm under the impact maximum stress 0.066 MPa if defined the depth as the maximum stress attenuation to 20%. The compacted CGS filler with the dense particle gradation and high strength has a rapid attenuation on vertical dynamic stress. Meanwhile, with the increase of stone content (P5, particle size ≥5 mm), the vertical dynamic stress of compacted CGS is attenuated exponentially. The maximum particle size also affects the attenuation of vertical dynamic stress, which needs further research. The findings support the development of non-destructive devices to rapidly inspect the compactness of subgrade construction.

An evaluation of vertical dynamic stress attenuation for compacted coarse-grained soils

Coarse-grained soil (CGS), as a filler with the characteristics of high bearing capacity but difficult compaction for embankment construction, requires an appropriate thickness of a single compaction layer according to the influence depth of vertical dynamic stress. This paper used a numerical analysis using PFC2D following a scale model test with different particle gradations of compacted CGS fillers by adopting a modified PFWD. The results show that the influence depth is about 50 cm under the maximum impact stress of 0.066 MPa if defined the depth as the maximum stress attenuation to 20%. The compacted CGS filler with dense particle gradation and high strength has a rapid attenuation on vertical dynamic stress. Meanwhile, with the increase of stone content (P5, particle size ≥5 mm), the vertical dynamic stress of compacted CGS is attenuated exponentially. The maximum particle size also affects the attenuation of vertical dynamic stress, which needs further research. The findings support the development of non-destructive devices to inspect the compactness of subgrade construction rapidly.

Maturity, Ripening and Quality of ‘Donghong’ Kiwifruit Evaluated by the Kiwi-Meter™

Traditional destructive fruit assessment methodologies are currently being replaced by non-destructive alternatives. The Kiwi-Meter™ is promoted as a non-destructive device for assessment of kiwifruit maturation and ripening. In this study, three trials evaluated the feasibility of using the Kiwi-Meter and its IAD™ index data for monitoring maturation, ripening, and quality of Actinidia chinensis var. chinensis ‘Donghong’ kiwifruit. The findings from the trials suggest that the Kiwi-Meter provides a non-destructive tool for measuring the color or chlorophyll content of the outer tissues of ‘Donghong’ kiwifruit. Since the timing of harvest of kiwifruit is not determined solely by flesh color, the utility of the Kiwi-Meter in any wider evaluation of fruit maturation (or ripening or quality) is dependent on there being a strong association between other fruit characteristics of interest with flesh color. The ‘Donghong’ fruit used in this trial degreened fully before ripening and thus the Kiwi-Meter could not provide a measure of maturation, ripening, or fruit quality. It is concluded that the Kiwi-Meter can assess fruit for flesh color, although even for this purpose, it must be considered that the IAD measurement may be limited to only the outer area of the fruit flesh.

Identifying non-thrive trees and predicting wood density from resistograph using temporal convolution network

Deep learning approaches have been adopted in Forestry research including tree classification and inventory prediction. In this study, we proposed an application of a deep learning approach, Temporal Convolution Network, on sequences of radial resistograph profiles to identify non-thrive trees and to predict wood density. Non-destructive resistance drilling measurements on South and West orientations of 274 trees in a 41-year-old Douglas-fir stand in Marion County, Oregon, USA were used as input series. Non-thrive trees were defined based on their changes in social status since establishment. Wood density was derived by X-ray densitometry from cores obtained by increment borers. Data was split for cross validation. Optimal models were fine-tuned with training and validation datasets, then run with test datasets for model evaluation metrics. Results confirmed that the application of the Temporal Convolution Network on resistograph profiles enables non-thrive tree identification with the probability, represented by the area under the Receiver Operator Characteristic curve, equal to 0.823. Temporal Convolution Network for wood density prediction showed a slight improvement in accuracy (RMSE = 18.22) compared to the traditional linear (RMSE = 20.15) and non-linear (RMSE = 20.33) regression methods. We suggest that the use of machine learning algorithms can be a promising methodology for the analysis of sequential data from non-destructive devices.

Mathematical modelling of Hass avocado firmness by using destructive and non-destructive devices at different maturity stages and under two storage conditions

Abstract Devices which are used to determine firmness of non-destructive nature do not penetrate the skin or damage the underlying flesh of the fruit and do provide real-time results, avoid raw biomass loss and allow the testing of every individual fruit and repeated testing of the same fruit, thus providing many advantages for researchers and the industry alike. Contrarily, destructive methods puncture the fruit and thus only a subsample, selected to represent all fruit, can be tested. In addition, different operators can generate quite different values for the same fruit using a hand-held penetrometer. Hass avocado from two commercial orchards was collected, and fruit firmness was measured at harvest, during two storage conditions controlled atmosphere (CA) and regular air (RA), during shelf-life and at the ready-to-eat stage using both destructive (Fruit Pressure Tester, mod. FT327, Wagner Instruments, Greenwich, USA) and non-destructive devices (Model TA.XT plusC, Stable Micro Systems Ltd, England). Then, the mathematical relationship between these two devices was assessed using Spearman Correlation coefficient (rho) and p-values adjusted by Benjamini-Hochberg and Bonferroni procedures. Thus, 3,200 fruits were evaluated during two harvests and two subsequent seasons. A moderate and positive association between destructive and non-destructive devices was found (rho coefficient ranging from 0.41 to 0.51). The variance explained by the regression models ranged from 0.53 to 0.63; all of them were significant with good accuracies (i.e., 0.79; 0.78; 0.73; 0.76). The results prompt us to conclude that a non-destructive texture analyser device can be used to accurately predict firmness measured by a penetrometer in Hass avocado fruit and contribute to avoiding fruit discards.

Technical note: Validity of a non-destructive device for opening dental arches in rigor mortis cadavers

Forensic dental autopsy is a fundamental procedure for the study of a death under judicial investigation in the search for postmortem (PM) information that can be compared with the antemortem (AM) data available from the cadaver. One of the major difficulties in taking postmortem evidence is the opening of the mouth, limited in many cases by the phenomenon of cadaveric rigidity or rigor mortis. The aim of this study was to evaluate the effectiveness of a new device designed to facilitate the opening of the dental arches in rigor mortis corpses. For this purpose, a sample of 30 corpses (22 men and 8 women; mean age 42.18 years and 38.75 years) from the Institute of Legal Medicine of the city of Lima (Peru) was analyzed. A forensic odontologist designed and manufactured the apparatus and carried out the sample analysis process. The initial and maximum measurements of oral cavity opening were recorded and a paired Student's t-test was applied to observe the difference between these initial and maximum measurements obtained (p < 0.05). The results showed that the average oral opening obtained with the new appliance was 43.83 ± 3.62 mm, with an average initial opening of 6.49 ± 3.04 mm (p < 0.001). The efficacy was similar in men and women (maximum opening M: 51.70 mm - F: 53.00 mm). In 29 of the 30 carcasses studied (96.7%) an opening greater than 40 mm was obtained, the latter being a minimum measurement sufficient to access the oral cavity. The efficacy of this new instrument for oral autopsy purposes is highlighted, since it does not cause destruction of the soft tissues and allows the correct manipulation of the oral structures present.

Numerical investigation of a new sensor for blood glucose detection using an improved wave concept iterative process method

AbstractGlucose monitoring using a noninvasive, rapid and nondestructive devices is becoming a very challenging task in the present time. This paper presents a modeling and an analysis of an electromagnetic sensor for blood glucose level detection, based on the wave concept iterative process (WCIP) method and operating in the terahertz (THZ) frequency range. The theoretical aspects about the WCIP algorithm, the plasma modeling, and integration into this approach were introduced. The effect of the geometrical parameters variation on the sensor's response was investigated and a comparative study of the obtained results with the high frequency structure simulator (HFSS) simulator is presented in the purpose of the verification. The numerical simulation results using the WCIP method show that the proposed sensor is suitable for the blood glucose monitoring since it was able to detect the lowest and the highest blood concentrations (0 mg/dl and 16 000 mg/dl). The sensing parameters: the quality factor (Q‐factor), figure of merits (FOM), and the sensitivity of the device were calculated in order to prove its efficiency. The Q‐factor varied from 2.26 to 3.06, the sensitivity varied from 0.0501 to 0.0192 (THZ/RIU) and the FOM varied from 0.5758 to 0.3147 RIU−1 for 0 mg/dland 16 000 mg/dl respectively.

Rapid detection of adulteration in desiccated coconut powder: vis-NIR spectroscopy and chemometric approach

Adulteration of desiccated coconut powder (DCP) with coconut milk residue (CMR) is an emerging problem in the coconut processing industry. Consumers and industries are looking for a simple non-destructive device to measure the purity of DCP. vis-NIR (350–2500 nm) spectroscopy along with the chemometric techniques have been used to assess the purity of DCP. In this study, DCP was adulterated with CMR at different levels such as 0 (pure DCP), 10, 20, 30, 40, 50, 60, 70, 80, 90, and 100% (pure CMR). Partial least squares regression (PLSR) models were developed using whole spectral data and selected wavelengths. The spectral data were pre-processed using different techniques such as raw, MSC + SNV, SG-smoothing, and detrending. The R 2 of the models constructed with the pre-processed spectral data was higher than 0.950, irrespective of pre-processing technique. Pre-processing of spectral data does not have a significant effect on model performance when compared with the model developed using raw spectral data (R 2 P = 0.973; SE P = 9.681; RPD P = 9.381; RER P = 10.389), but the prediction accuracy was decreased. The wavelengths 653, 933, 1189, 1383, 1444, 1670, and 1911 nm were selected as the featured wavelengths for quantification of adulteration level in DCP. No significant difference in statistical results was observed between the PLSR model developed with selected wavelengths (R 2 P = 0.869; SE P = 11.701; RPD P = 9.381; RER P = 8.595) and the PLSR model for whole spectral data. The developed model can be used to predict the level of adulteration in DCP if the adulterant concentration was more than 10%. The overall results obtained in present study suggest that the vis-NIR spectroscopy along with suitable chemometric techniques have a great potential for rapid measurement of adulteration level in DCP. • Vis-NIR (350–2500 nm) spectroscopy has been used to predict the purity of DCP • The wavelengths responsible for quantification of level of adulteration in DCP were selected. • The developed PLSR model can be used to predict the level of adulteration more than 10%. • The PLS-DA technique showed more than 70% classification accuracy.

Non-Destructive Measuring Systems for the Evaluation of High Oxygen Stored Poultry: Development of Headspace Gas Composition, Sensory and Microbiological Spoilage.

As poultry is known to be a perishable food, the use-by date is set in such a way that food safety is guaranteed even with a higher initial bacterial count. This means, however, that some products are wasted, even if they are still safe to eat. Therefore, non-destructive measurement devices might be a good opportunity for individual shelf-life prediction, e.g., in retail. The aim of this study was therefore to use non-destructive measurement devices based on fluorescence quenching (oxygen detection) and mid-infrared laser spectroscopy (carbon dioxide detection) for the monitoring of high-oxygen-packed poultry in different storage conditions. During 15 days of storage, the gas composition of the headspace was assessed (non-destructively and destructively), while total plate count was monitored and a comprehensive sensory evaluation was performed by a trained panel. We were able to demonstrate that in most cases, non-destructive devices have comparable precision to destructive devices. For both storage conditions, the sensory attribute slime was correlated with reaching the critical microbiological value of 107 CFU/g; the attribute buttery was also useful for the prediction of regularly stored poultry. The change in the gas atmosphere as a sign of premature spoilage, however, was only possible for samples stored in irregular conditions.

Dual-functional ultrathin wearable 3D particle-in-cavity SF-AAO-Au SERS sensors for effective sweat glucose and lab-on-glove pesticide detection

A novel approach is developed to fabricate an ultra-thin layered flexible wearable Surface-Enhanced Raman Scattering (SERS) substrate named silk fibroin-anodic aluminum oxide-Au nanoparticles (SF-AAO-Au), which consists of biocompatible SF film as flexible support, ultrathin cavity AAO as template, and plasmonic Au NPs. The SF-AAO-Au sensor exhibits excellent SERS mechanical flexibility, homogeneity and sensitivity for its effective enhancement ability and highly ordered 3D periodic porous particle-in-cavity (PIC) arrays structure. The humidity-driven interface structure of biocompatible SF film provides good skin adhesion under various fitness tests and excellent mechanical flexibility as a wearable SERS sensor on natural skin (deformation within 5%). The flexible SF-AAO-Au can be developed as quantitative sweat glucose sensor in the concentration range of 10−7 to 10−3 M with a limit of detection (LOD) of 1.68×10−7 M and qualitative human sweat glucose detection ability. This SF-AAO-Au substrate can be further designed as lab-on-glove SERS sensing platform for ultrasensitive (LOD ~5.7 ppt) quantitative on-site detection of agricultural residues in a wide range. The effective dual-functional SERS wearable sensor realized for the first time paves a new way to develop smart wearable and non-destructive devices in environmental safety, forensic identification and point-of-care testing (POCT) diagnosis of physiological disease.

Properties of broiler breast meat with pale color and a new approach for evaluating meat freshness in poultry processing plants

The current trend in monitoring meat quality is to move the quality measurements from the laboratory to the processing line. To provide better meat quality control in the commercial poultry processing plants, we evaluated the quality of broiler breast meat samples, observing different colors, and assessed their freshness using a Torrymeter. Different colors were classified based on the mean ± standard deviation of lightness (L*) values in 1,499 broiler breast fillets: Dark (L* < 56), normal (56 ≤ L* ≤ 62), and pale (L* > 62). To characterize the differences between the pale and normal color groups, we evaluated additional fillets for meat quality traits. Changes in meat quality during storage were also evaluated. The L* and Torrymeter values (freshness values) allowed us to distinguish between the pale and normal meat samples. Normal and pale fillets showed a significant difference in pH, Torrymeter values, and water-holding capacity (P < 0.001). The L* values were significantly correlated with cook and drip loss (P < 0.01) and were higher (paler, +1.2 L* unit) at 72-h postmortem than at 4-h postmortem. Torrymeter values were correlated with cook loss (P < 0.05) and pH (P < 0.001), and significantly decreased with the increase in storage period (P < 0.001). These results suggest the applicability of the Torrymeter, a fast and non-destructive device, in distinguishing stale and fresh breast fillets. With its portability and simplicity, the Torrymeter is expected to be a valuable tool to estimate meat freshness. Especially, the use of Torrymeter for evaluating pale breast fillets may allow easy identification and separation of fillets according to their pale, soft, and exudative properties in commercial poultry processing lines.

An attempt to the nondestructive investigation of photo-induced potato postharvest quality degradation – Preliminary results

AbstractAmong improper harvest and/or postharvest storage conditions, the effect of direct sunlight plays an important role in quality degradation of potato resulting in the development of green surface color based on chlorophyll formation associated with the formation of poisonous chemicals – glycoalcaloids – known as α-chaconine and α-solanine. Yellow skinned and fleshed potatoes with or without visible initial marks of green surface color were stored at normal room temperature under direct natural (sun)light conditions for almost two months. The aim of this study was the preliminary investigation of the sunlight induced formation of chlorophyll related compounds in potato indirectly by the detection of chlorophyll development. This attempt was based on nondestructive determination of chlorophyll related spectral and fluorescence indices for both sunlight exposed and unexposed potato sides. For both potato groups the chlorophyll content related DA-index® and chlorophyll fluorescence characteristics (F0, Fm, Fv and Fv/Fm) increased during the storage period representing chlorophyll formation. In the case of Fm, Fv and Fv/Fm values, the yellow samples reached the values of the initial spotted green samples by the 7th–9th days. From this time, the chlorophyll fluorescence values changed only minimally. After storage day 34, in the case of both at day 0 yellow and green spotted potatoes, the sunny side's F0 value was lower than that of shaded side. Close relationship was found between the results of Walz monitoring-PAM (Pulse Amplitude-Modulated) chlorophyll fluorometer and the PSI (Photon Systems Instruments) chlorophyll fluorescence imaging device (e.g. Fv R2 = 0.7226). According to our preliminary results, the Vis/NIR DA-meter®, the monitoring-PAM and the chlorophyll fluorescence imaging fluorometers were found to be suitable nondestructive devices for further investigations concerning the postharvest chlorophyll formation based greening phenomena, which is associated with solanine development in potato.

The Crop Clamp – A non-destructive electromechanical pinch test to evaluate stalk lodging resistance

Given the ever-increasing world population, maize plays a pivotal role in global food security. A major obstacle facing farmers is stalk lodging (the breakage of the stalk before harvest), which leads to substantial losses in annual yields. Weather, disease, and pest damage are major contributors to stalk lodging. Traditionally, evaluating a stalk’s tendency to lodge was achieved with a ‘pinch’ test: pinching the stalk by hand to estimate its transverse stiffness. This test is inherently qualitative, and results vary from person to person. To combat these problems, a portable, battery-operated, non-destructive device for precisely measuring the transverse stiffness of maize stalks, known as the Crop Clamp, has been developed. The device is capable of recording over 100 measurements per hour and has been validated against laboratory tests.

Evaluation of GPR Detection for buried objects material with different depths and scanning angles

A Ground-penetrating radar (GPR) is considered an efficient non-destructive device for detecting the buried object. The GPR operation is based on the analysis of the received scattered of the transmitted signal. Its output is the two-dimensional image radiogram hyperbolic curve, this image represents the reflected signal of the buried object. To date, studies investigating targets (buried objects) have produced equivocal results. Therefore, this paper highlights the importance of the effect of changing target-detection parameters (material type, target to surface distance, size, and scan to target location angle) concerning the hyperbolic curve on the GPR experiment image. A practical model has been built for this experiment with three material types (metal, plastic, and pottery) that are buried in the sand soil. Three tests have been done for different types of material, in the different depth for each buried object of the same material. Then, changing the size of the buried object (small and big size), also, changing the location angle of the buried objects concerning the direction of the GPR scan. For these tests, the effect on the hyperbolic curve has been recognized. A MALA 1 GHz geophysical GPR system is used in these experiments. As a result, the strength of the reflected EMW changes concerning the type of material, size, depth, and location angle of the buried object.