scholarly journals On-spot Biosensing Device for Organophosphate Pesticide Residue Detection in Fruits and Vegetables

Author(s):  
Subhankar Mukherjee ◽  
Souvik Pal ◽  
Prasenjit Paria ◽  
Soumyadeb Bhattacharyya ◽  
Koustuv Ghosh ◽  
...  
1991 ◽  
Vol 74 (6) ◽  
pp. 991-998 ◽  
Author(s):  
Keh-Chuh Ting ◽  
Peng Kho

Abstract This research describes the results of a gas chromatography/microwave induced plasma/atomic emission detection (GC/MIP/AED) method performed on a Hewlett-Packard 5921A system for pesticide residue analysis in fruits and vegetables. Atotal of 6 experiments were conducted: (1) sensitivity and linearity studies for elements S, P, CI, and N by analyzing dursban; (2) a study of instrument response to CI concentration in pesticide molecules; (3) organochlorinated pesticide recoveries; (4) organophosphate pesticide recoveries; (5) carbamate pesticide recoveries; and (6) investigation of metallic pesticides with pllctran and vendex as standards. The rank according to sensitivity and linearity was found to be as follows: S-181>P-178>CI-479>N-174. Instrument response to the concentration of chlorine atoms in the pesticide molecule was linear, with a correlation coefficient of 0.89. Recoveries of organochlorinated pesticides were 91.7-109.3%, with the exception of citrus, whose recovery was affected by coeluting Interferences. Organophosphate recoveries were 73.2% or higher, except for the cygon oxygen analog, which degraded in the GC system under all circumstances. Carbamate recoveries were inconsistent quantitatively; however, the information generated from elements N and S were useful for qualitative confirmation of other methods, such as LC postcolumn derivatization analysis. Overall, the GC/MIP/AED method is powerful for qualitative confirmation in pesticide residue analysis. The instrument’s capability of acquiring multi-elements (CI and P) selectively and accurately is an alternative method for organochlorinated and organophosphate pesticide residue analyses. In addition, the GC/MIP/AED system is easy to use, simple to maintain, and its chromatograms can be interpreted by any chromatography analyst without much prior training.


Author(s):  
Ajay Sharma ◽  
Jatiender Kumar Dubey ◽  
Sapna Katna ◽  
Deepika Shandil ◽  
Gaganpreet Singh Brar ◽  
...  

Nanomaterials ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1327
Author(s):  
Run Qin ◽  
Ping Li ◽  
Mingyi Du ◽  
Lianlian Ma ◽  
Yudi Huang ◽  
...  

Food safety issues caused by pesticide residue have exerted far-reaching impacts on human daily life, yet the available detection methods normally focus on surface residue rather than pesticide penetration to the internal area of foods. Herein, we demonstrated gold nanoparticle (AuNP)-immersed paper imprinting mass spectrometry imaging (MSI) for monitoring pesticide migration behaviors in various fruits and vegetables (i.e., apple, cucumber, pepper, plum, carrot, and strawberry). By manually stamping food tissues onto AuNP-immersed paper, this method affords the spatiotemporal visualization of insecticides and fungicides within fruits and vegetables, avoiding tedious and time-consuming sample preparation. Using the established MSI platform, we can track the migration of insecticides and fungicides into the inner region of foods. The results revealed that both the octanol-water partition coefficient of pesticides and water content of garden stuffs could influence the discrepancy in the migration speed of pesticides into food kernels. Taken together, this nanopaper imprinting MSI is poised to be a powerful tool because of its simplicity, rapidity, and easy operation, offering the potential to facilitate further applications in food analysis. Moreover, new perspectives are given to provide guidelines for the rational design of novel pesticide candidates, reducing the risk of food safety issues caused by pesticide residue.


2018 ◽  
Vol 14 (2) ◽  
pp. 172-177
Author(s):  
Joko Sudarsono ◽  
Setyo Sri Rahardjo ◽  
Kisrini Kisrini

The use of the pesticide which does not follow the procedure may potentially cause residue of pesticide to be left on vegetables and fruits sold in supermarkets and traditional markets. We aimed to find the pattern of pesticide usage and levels of residue found in plants. This study was an analytical observation with a cross-sectional design using detailed sampling procedure. We obtained the data of the pesticide residue concentration by conducting laboratory examinations on eight samples of cabbage and eight samples of tomatoes from traditional markets and supermarkets in the city of Solo. The data were tested using simple linear regression testing. The organophosphate measurement results showed no residues were detected, because it was below the Limit of Detection (LOD). We concluded that pesticides containing active substances were not used in the vegetables we tested or the active substances were no longer contained in the vegetables after harvesting.


2021 ◽  
pp. 118890
Author(s):  
Jingjing Wu ◽  
Jianfeng Xi ◽  
Haibo Chen ◽  
Sijie Li ◽  
Lei Zhang ◽  
...  

Nanoscale ◽  
2019 ◽  
Vol 11 (27) ◽  
pp. 12829-12836 ◽  
Author(s):  
Peng Wu ◽  
Lu-Bin Zhong ◽  
Qing Liu ◽  
Xi Zhou ◽  
Yu-Ming Zheng

A polymer induced one-step interfacial self-assembly method was developed to fabricate flexible, robust and free-standing SERS substrates for rapid pesticide residue detection.


2018 ◽  
Vol 4 (1) ◽  
pp. 1-6
Author(s):  
. SUTARDI ◽  
HENI PORWONINSIH

Shallot is one of strategic commodities in Indonesia. Sandy coastal area of Bantul and Kulon Progo districtis the centre of shallot production in Yogyakarta. The results showed that recommendation of fertilizing technology ameliorant (clay 2:1), organik fertilizer 20 ton/ha, Urea 115.7 kg/ha, ZA 250 kg/ha, SP-36 75 kg/ha, and KCl 250 kg/ha. Pest and disease management in integrated pest and disease management 10 Feromon – Exi, Attractant, 10 Light trap, 45 Yellow/white/green trap, biopesticide, limited chemical pesticide, organophosphate pesticide residue contents below with residues below the MRL 


2020 ◽  
Vol 59 (6) ◽  
pp. 1524
Author(s):  
Rendong Ji ◽  
Shicai Ma ◽  
Hua Yao ◽  
Yue Han ◽  
Xiao Yang ◽  
...  

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