scholarly journals Rapid and Non-Destructive Detection of Compression Damage of Yellow Peach Using an Electronic Nose and Chemometrics

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1866 ◽  
Author(s):  
Xiangzheng Yang ◽  
Jiahui Chen ◽  
Lianwen Jia ◽  
Wangqing Yu ◽  
Da Wang ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Supply Chain ◽  
Electronic Nose ◽  
Correct Answer ◽  
Mechanical Damage ◽  
Spectral Imaging ◽  
Visual Observation ◽  
Promising Candidate ◽  
Non Destructive ◽  
Compression Damage

The rapid and non-destructive detection of mechanical damage to fruit during postharvest supply chains is important for monitoring fruit deterioration in time and optimizing freshness preservation and packaging strategies. As fruit is usually packed during supply chain operations, it is difficult to detect whether it has suffered mechanical damage by visual observation and spectral imaging technologies. In this study, based on the volatile substances (VOCs) in yellow peaches, the electronic nose (e-nose) technology was applied to non-destructively predict the levels of compression damage in yellow peaches, discriminate the damaged fruit and predict the time after the damage. A comparison of the models, established based on the samples at different times after damage, was also carried out. The results show that, at 24 h after damage, the correct answer rate for identifying the damaged fruit was 93.33%, and the residual predictive deviation in predicting the levels of compression damage and the time after the damage, was 2.139 and 2.114, respectively. The results of e-nose and gas chromatography-mass spectrophotometry (GC–MS) showed that the VOCs changed after being compressed—this was the basis of the e-nose detection. Therefore, the e-nose is a promising candidate for the detection of compression damage in yellow peach.

scholarly journals Non-Destructive Detection of Damaged Strawberries after Impact Based on Analyzing Volatile Organic Compounds

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 427
Author(s):  
Yang Cao ◽  
Yuchen Zhang ◽  
Menghua Lin ◽  
Di Wu ◽  
Kunsong Chen
Keyword(s):  
Gas Chromatography ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Electronic Nose ◽  
Impact Damage ◽  
Mechanical Damage ◽  
Mechanical Force ◽  
Occurrence Time ◽  
Volatile Organic ◽  
Non Destructive

Strawberries are susceptible to mechanical damage. The detection of damaged strawberries by their volatile organic compounds (VOCs) can avoid the deficiencies of manual observation and spectral imaging technologies that cannot detect packaged fruits. In the present study, the detection of strawberries with impact damage is investigated using electronic nose (e-nose) technology. The results show that the e-nose technology can be used to detect strawberries that have suffered impact damage. The best model for detecting the extent of impact damage had a residual predictive deviation (RPD) value of 2.730, and the correct rate of the best model for identifying the damaged strawberries was 97.5%. However, the accuracy of the prediction of the occurrence time of impact was poor, and the RPD value of the best model was only 1.969. In addition, the gas chromatography–mass spectrophotometry analysis further shows that the VOCs of the strawberries changed after suffering impact damage, which was the reason why the e-nose technology could detect the damaged fruit. The above results show that the mechanical force of impact caused changes in the VOCs of strawberries and that it is possible to detect strawberries that have suffered impact damage using e-nose technology.

scholarly journals Rapid Non-Destructive Quantification of Eugenol in Curdlan Biofilms by Electronic Nose Combined with Gas Chromatography-Mass Spectrometry

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4441
Author(s):  
Lu Han ◽  
Jingyi Zhu ◽  
Xia Fan ◽  
Chong Zhang ◽  
Kang Tu ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Prediction Model ◽  
Electronic Nose ◽  
Quantitative Method ◽  
Gas Chromatography Mass Spectrometry ◽  
Support Vector ◽  
Linear Discriminant ◽  
Chromatography Mass Spectrometry ◽  
Non Destructive

Eugenol is hepatotoxic and potentially hazardous to human health. This paper reports on a rapid non-destructive quantitative method for the determination of eugenol concentration in curdlan (CD) biofilms by electronic nose (E-nose) combined with gas chromatography-mass spectrometry (GC-MS). Different concentrations of eugenol were added to the film-forming solution to form a series of biofilms by casting method, and the actual eugenol concentration in the biofilm was determined. Analysis of the odor collected on the biofilms was carried out by GC-MS and an E-nose. The E-nose data was subjected to principal component analysis (PCA) and linear discriminant analysis (LDA) in order to establish a discriminant model for determining eugenol concentrations in the biofilms. Further analyses involving the application of all sensors and featured sensors, the prediction model-based partial least squares (PLS) and support vector machines (SVM) were carried out to determine eugenol concentration in the CD biofilms. The results showed that the optimal prediction model for eugenol concentration was obtained by PLS at R2p of 0.952 using 10 sensors. The study described a rapid, non-destructive detection and quantitative method for determining eugenol concentration in bio-based packaging materials.

scholarly journals Application of electronic nose and GC–MS for detection of strawberries with vibrational damage

2020 ◽  
Vol 4 (4) ◽  
pp. 181-192
Author(s):  
Jingshan Rao ◽  
Yuchen Zhang ◽  
Zhichao Yang ◽  
Shaojia Li ◽  
Di Wu ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Electronic Nose ◽  
Correct Answer ◽  
Actual Situation ◽  
Vibration Treatment ◽  
Volatile Substances ◽  
Good Classification ◽  
The Future ◽  
Vibration Time ◽  
Potential Use

Abstract Objectives This study evaluated the potential of using electronic nose (e-nose) technology to non-destructively detect strawberry fruits with vibrational damage based on their volatile substances (VOCs). Materials and methods Four groups of strawberries with different durations of vibrations (0, 0.5, 1, and 2 h) were prepared, and their e-nose signals were collected at 0, 1, 2, and 3 days after vibration treatment. Results The results showed that when the samples from all four sampling days during storage were used for modelling, both the levels of vibrational damage and the day after the damage happened were accurately predicted. The best models had residual prediction deviation values of 2.984 and 5.478. The discrimination models for damaged strawberries also obtained good classification results, with an average correct answer rate of calibration and prediction of 99.24%. When the samples from each sampling day or vibration time were used for modelling, better results were obtained, but these models were not suitable for an actual situation. The gas chromatography–mass spectrophotometry results showed that the VOCs of the strawberries varied after experiencing vibrations, which was the basis for e-nose detection. Limitations The changes in VOCs released by other forces should be studied in the future. Conclusions The above results showed the potential use of e-nose technology to detect strawberries that have suffered vibrational damage.

Investigation of Non-Destructive Examination for Mechanical Damage of FRP

2015 ◽  
Author(s):  
Keisuke Ono ◽  
Yoshimichi Fujii ◽  
Akihiro Wada
Keyword(s):  
Ultrasonic Wave ◽  
Low Cost ◽  
Great Influence ◽  
Mechanical Damage ◽  
Visual Observation ◽  
General Tendency ◽  
Fiber Reinforced ◽  
Specific Strength ◽  
Reinforced Plastics ◽  
Non Destructive

Nowadays, fiber reinforced plastic (FRP) has been widely used in many areas such as auto mobile, airplane and marine vessel due to its high specific strength, good corrosion resistance, relatively low cost and so on. However, it still remains unknown that what kind of damage will happen in the internal structure when an automobile, which is made from FRP, has a slight impact with something such as a wall. Then the following road safety of the automobile cannot be guaranteed because certain parts may be exposed to damage in what seems even like a slight impact. In addition, it is well known that initial fracture can bring damage and great effect to the mechanical properties of the FRP material. The novelty of this paper is that the object of this research is micro crack such as transverse crack. While, almost previous report is aimed at delamination. Actually, before the delamination happens, micro crack has already occurred. The mechanical property of FRP is beginning to decrease by delamination. However, when the delamination occurred in the FRP is examined, it is already too late because the delamination can bring great influence to the safety of the FRP products. Therefore, it is important to investigate and detect the presence of micro crack with ultrasonic wave. In this way, some accidents might be avoided. While, because of the variety of the constraints in the fracture mechanism, the damage behavior is very difficult to evaluate and there are rarely researches and data on it. Although damage assessment by visual observation and the durable service life on FRP has become a general tendency in these recent years, the appropriate way of non-destructive examination has not been confirmed yet. The purpose of this study is to investigate the possibility of non-destructive examination with ultrasonic wave testing for mechanical damage of glass fiber reinforced plastics (GFRP). The possibility of dividing of Lamb wave modes by reducing the thickness of samples was confirmed and the variance of distribution of frequency of S0 mode wave by micro fracture in GFRP.

scholarly journals Non-destructive NIR spectral imaging assessment of bone water: Comparison to MRI measurements

Bone ◽  
2017 ◽  
Vol 103 ◽  
pp. 116-124 ◽  
Author(s):  
Chamith S. Rajapakse ◽  
Mugdha V. Padalkar ◽  
Hee Jin Yang ◽  
Mikayel Ispiryan ◽  
Nancy Pleshko
Keyword(s):  
Spectral Imaging ◽  
Bone Water ◽  
Non Destructive ◽  
Mri Measurements

scholarly journals Potential anti-COVID-19 activity of Egyptian propolis using computational modeling

2021 ◽  
Author(s):  
Bassma H Elwakil ◽  
Marwa M Shaaban ◽  
Adnan A Bekhit ◽  
Moustafa Y El-Naggar ◽  
Zakia A Olama
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Computational Modeling ◽  
Antiviral Agents ◽  
Mass Spectrometry Analysis ◽  
Gas Chromatography Mass Spectrometry ◽  
Promising Candidate ◽  
Spectrometry Analysis ◽  
Chromatography Mass Spectrometry ◽  
Main Protease

Aim: To investigate the prospective anti COVID-19 activity of Egyptian propolis. Material & methods: Propolis samples were collected from different Egyptian geographical areas and characterized using standardized methods, scanning electron microscope and gas chromatography/mass spectrometry along with computational modeling to predict the anti-COVID-19 activity. Results & conclusion: Gas chromatography/mass spectrometry analysis of Menoufia propolis proved the presence of Octatriacontyl pentafluoropropionate (4.2%). Docking analyses declared that Octatriacontyl pentafluoropropionate is well oriented inside the enzyme pockets, in addition to excellent binding manner with the active site of the target macromolecules (RNA-dependent RNA polymerase, Spike protein S1 and main protease) in relation to some broad-spectrum antiviral agents. Menoufia propolis could be a promising candidate in the combat against the pandemic COVID-19.

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