scholarly journals Estimation of Diafenthiuron Residues in Cardamom (Elettaria cardamomum (L.) Maton) Using Normal Phase HPLC: Dissipation Pattern and Safe Waiting Period in Green and Cured Cardamom Capsules

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Johnson Stanley ◽  
Subramanian Chandrasekaran ◽  
Gnanadhas Preetha ◽  
Sasthakutty Kuttalam ◽  
R. Sheeba Jasmine

Diafenthiuron is an effective insecticide used for pest management in cardamom. Residues of diafenthiuron and its degradation/dissipation pattern in cardamom were determined to work out safe waiting period. Samples were collected after three sprays of diafenthiuron @ 400 and 800 g a.i ha−1 and the residues extracted in acetonitrile and quantified in normal phase HPLC in UV detector. Diafenthiuron was detected in 6.61±0.1 min. The limits of detection (LOD) and limits of quantification (LOQ) were determined to be 0.01 and 0.05 μgmL−1. The initial deposits were found to be 3.82 and 4.10 μg g−1 after sprays of diafenthiuron @ 400 g a.i ha−1 in the first and second experiments, respectively. Nearly cent percent of residues dissipated at 10 days after treatment in the recommended dose of diafenthiuron 400 g a.i ha−1 and the half life varied from 2.0 to 2.8 days with a waiting period of 5.5 to 6.7 days in green capsules of cardamom. The waiting period was 5.4 to 7.0 days in cured capsules of cardamom. With harvest being the focal point for enforcement of residue tolerances, the suggested waiting period of seven days is safe without the problem of pesticide residues in harvestable produce.

Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
A Landreau ◽  
S Bertrand ◽  
C Simoes-Pires ◽  
L Marcourt ◽  
TD Bach ◽  
...  

2010 ◽  
Vol 22 (10) ◽  
pp. 1070-1074 ◽  
Author(s):  
Wen-Zhi Li ◽  
Xia Wang ◽  
Wei-Qiang Zhang ◽  
Chen Li-Ren ◽  
Yong-Min Li ◽  
...  

1986 ◽  
Vol 32 (6) ◽  
pp. 813-827 ◽  
Author(s):  
Magda Claeys ◽  
Haydee E.P. Bazan ◽  
Dale L. Birkle ◽  
Nicolas G. Bazan

1980 ◽  
Vol 63 (3) ◽  
pp. 631-633 ◽  
Author(s):  
James E Thean ◽  
David R Lorenz ◽  
David M Wilson ◽  
Kathleen Rodgers ◽  
Richard C Gueldner

Abstract A method is proposed for extraction and cleanup of corn samples for the quantitation of 4 aflatoxins by high pressure liquid chromatography (HPLC). After aqueous methanol extraction, ammonium sulfate treatment, and partition of aflatoxins into chloroform, sample extracts are partially purified on Sep-Pak cartridges or small columns packed with HPLC grade silica; cleanup requires only 13 mL solvent/sample. Aflatoxins B1, B2, G1, and G2 in the purified extract are resolved in ca 10 min by normal phase HPLC on a microparticulate (5 μm) silica gel column with a 50% water-saturated chloroform-cyclohexaneacetonitrile- ethanol solvent, and are measured by ultraviolet fluorescence in a silica gel-packed flowcell. Recoveries of added aflatoxins B1, B2, G1, and G2 were 84–118 % at levels of 1.5–125 μg/kg


Author(s):  
Yasser Abbasi ◽  
Chris M. Mannaerts

Distribution of pesticide residues in the environment and their transport to surface water bodies is one of the most important environmental challenges. Fate of pesticides in the complex environments, especially in aquatic phases such as lakes and rivers, is governed by the main properties of the contaminants and the environmental properties. In this study, a multimedia mass modeling approach using the Quantitative Water Air Sediment Interaction (QWASI) model was applied to explore the fate of organochlorine pesticide residues of methoxychlor, α-HCH and endosulfan–sulfate in the lake Naivasha (Kenya). The required physicochemical data of the pesticides such as molar mass, vapor pressure, air–water partitioning coefficient (KAW), solubility, and the Henry’s law constant were provided as the inputs of the model. The environment data also were collected using field measurements and taken from the literature. The sensitivity analysis of the model was applied using One At a Time (OAT) approach and calibrated using measured pesticide residues by passive sampling method. Finally, the calibrated model was used to estimate the fate and distribution of the pesticide residues in different media of the lake. The result of sensitivity analysis showed that the five most sensitive parameters were KOC, logKow, half-life of the pollutants in water, half-life of the pollutants in sediment, and KAW. The variations of outputs for the three studied pesticide residues against inputs were noticeably different. For example, the range of changes in the concentration of α-HCH residue was between 96% to 102%, while for methoxychlor and endosulfan-sulfate it was between 65% to 125%. The results of calibration demonstrated that the model was calibrated reasonably with the R2 of 0.65 and RMSE of 16.4. It was found that methoxychlor had a mass fraction of almost 70% in water column and almost 30% of mass fraction in the sediment. In contrast, endosulfan–sulfate had highest most fraction in the water column (>99%) and just a negligible percentage in the sediment compartment. α-HCH also had the same situation like endosulfan–sulfate (e.g., 99% and 1% in water and sediment, respectively). Finally, it was concluded that the application of QWASI in combination with passive sampling technique allowed an insight to the fate process of the studied OCPs and helped actual concentration predictions. Therefore, the results of this study can also be used to perform risk assessment and investigate the environmental exposure of pesticide residues.


1994 ◽  
Vol 40 (1) ◽  
pp. 48-51 ◽  
Author(s):  
E Meyer ◽  
W E Lambert ◽  
A P De Leenheer

Abstract We describe a rapid and simple procedure for the simultaneous quantitation of endogenous 13-cis-retinoic acid, all-trans-retinoic acid, and retinol by isocratic normal-phase HPLC with ultraviolet detection, in 0.5 mL of human plasma. A silica adsorption column was eluted with n-hexane:2-propanol:acetic acid (200:0.7:0.135 by vol) at 0.9 mL/min, and the effluent monitored at 350 nm. The arotinoid ethylsulfonic acid Ro 15-1570 was used as the internal standard. High sensitivity, allowing quantitation of physiological concentrations, was achieved, particularly for the retinoic acid isomers. The detection limits were 0.5 microgram/L in plasma for both 13-cis- and trans-retinoic acid, and 10 micrograms/L for retinol. The CVs for between-day determinations of the lowest quality-control concentration (n = 12) were 4.8% for 13-cis-retinoic acid, 3.4% for trans-retinoic acid, and 3.0% for retinol. The mean (+/- SD) concentrations of 13-cis-retinoic acid (1.79 +/- 0.56 microgram/L), trans-retinoic acid (1.35 +/- 0.42 microgram/L), and retinol (533 +/- 58 micrograms/L) measured in plasma from 22 healthy volunteers agreed well with those previously reported.


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