Assessment of pesticide residues in citrus fruit on the Czech market

Author(s):  
Lucie Drábová ◽  
Petr Mráz ◽  
František Krátký ◽  
Leoš Uttl ◽  
Petra Vacková ◽  
...  
1979 ◽  
Vol 19 (96) ◽  
pp. 118 ◽  
Author(s):  
G Singh ◽  
LE Rippon ◽  
WS Gilbert ◽  
N Ahmad

Sec-butylamine residues were determined for post-harvest treatments for control of citrus green and blue mould (Penicillium digitatum Sacc. and P. italicum Wehmer), blue mould of pome fruits (P. expansum Thom.) and black-end (Colletotrichum musae (Berk and Curt.) Arx) and squirter (Nigrospora sphaerica Sacc.) of banana fruits. The treatments were as follows: 0.5% bulk bin dip of citrus and pome fruit. 1.0% dip of bananas packaged in wooden boxes. 1.0% flood of citrus and bananas on packing line. A combined 0.5% dip and 1.0% flaod of citrus. Residues in citrus fruit (orange, tangor, mandarin, grapefruit, lemon) ranged from 0.88-7.65 �g g-1 and were well within the 30 �g g-1 recommended limit of the Joint FAO/WHO Meeting of Experts on Pesticide Residues (JMPR) and the Australian National Health and Medical Research Council. The single bulk dip gave two to three times higher residues than the combined dip and flood treatment. Pome fruit residues ranged from 2.75-1 1.6 �g g-1, with pears (1 1.2-1 1.6 �g g-1) having 3-4 times higher residues than apples (2.75-3.61 �g g-1). Whole green or ripened Cavendish bananas contained residues ranging from 15.1-27.6 �g g-1, with 2% or less of the residue being found in the pulp. The dipped, boxed single fruits had almost double the residues of flooded hands.


Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
Y Kobayashi ◽  
H Takemoto ◽  
Z Fu ◽  
E Shimizu ◽  
Y Kinjo

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association


2019 ◽  
Vol 30 (5) ◽  
pp. 217-220

This report provides an overview of the 2017 official control activities on pesticide residues carried out in the European Union (EU) Member States, Iceland and Norway. It summarises the results of both the 2017 EU-coordinated control programme (EUCP) and the national control programmes (NP). While the NPs are mostly risk based (so called enforcement samples) focusing on pesticides or products originating from countries where a number of exceedances have been observed in the past, the EUCP aims to present a statistically representative snapshot of the situation of pesticide residues in food products that are mostly consumed in the EU following a random sampling procedure. The report includes the outcome of a dietary risk assessment based on the results of the overall 2017 control programmes. The comprehensive analysis of the results of all reporting countries provides risk managers with sound-based evidence for designing future monitoring programmes, in particular for taking decisions on which pesticides and food products should be targeted in risk-based national programmes.


Sign in / Sign up

Export Citation Format

Share Document