Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Silvana Girolimetti is active.

Publication


Featured researches published by Silvana Girolimetti.


Journal of Chromatography A | 1997

Single-step separation of organochlorine pesticide residues from fatty materials by combined use of solid-matrix partition and C18 cartridges

Alfonso Di Muccio; Tiziana Generali; Danilo Attard Barbini; Patrizia Pelosi; Antonella Ausili; Fabio Vergori; Silvana Girolimetti

A rapid single-step partition step between n-hexane and acetonitrile on a two-cartridge system composed of Extrelut-3 with a C18 cartridge connected downstream has been developed for the separation of organochlorine (OC) pesticide residues from oils and fats. The extract is cleaned up by Florisil minicolumn chromatography before gas chromatography with electron-capture detection. Carry over of fatty material through the partition step is in the order of 4–40 mg for ca. 1.0 g of different oil or fats loaded on the two-cartridge system. Recoveries of 15 OC pesticides from ca. 1 g of soya oil spiked were between 70 and 103% (except HCB=ca. 60%) at spiking levels in the range 0.02–0.1 mg/kg.


Journal of Chromatography A | 1999

Selective clean-up applicable to aqueous acetone extracts for the determination of carbendazim and thiabendazole in fruits and vegetables by high-performance liquid chromatography with UV detection

Alfonso Di Muccio; Silvana Girolimetti; Danilo Attard Barbini; Patrizia Pelosi; Tiziana Generali; Luciano Vergori; Giovanni De Merulis; Antonio Leonelli; Patrizia Stefanelli

Fungicide residues in vegetables (benomyl, carbendazim, thiabendazole) are analyzed through a clean-up procedure that uses a portion of the aqueous acetone extract prepared for multiresidue methodology. A portion of the aqueous acetone extract (equivalent to 5 g of vegetables) is loaded onto an Extrelut-20 cartridge (the cartridge is filled with a coarse, large-pore diatomaceous material). Then, acetone is partially removed by an upward stream of nitrogen at 2l/min for 30 min. Benzimidazolic fungicides are recovered by percolating the cartridge with 100 ml of 0.1 M phosphoric acid solution, which also serves to convert benomyl to carbendazim. The percolating acid solution is drained on-line through a strong cation-exchange (SCX) solid-phase extraction cartridge with the aid of a slight vacuum. Benzimidazolic fungicides are retained on the SCX cartridge. The phosphoric acid solution is discarded together with the washings of the SCX cartridge, i.e., water followed by methanol-water (75:25), that remove unwanted coextractives. Finally, benzimidazolic fungicides are recovered by eluting the SCX cartridge with methanol-ammonium formate buffer (75:25). The final extract is then analyzed by reversed-phase HPLC with UV detection. Recoveries from crops such as apples, lettuce, strawberries and citrus fruits are generally greater than 80% and no interferences were observed. The clean-up is simple and straightforward, requires only disposable items, water solutions and a few milliliters of solvent and a minimum number of manipulations, and does not require concentration steps or electrical equipment.


Journal of Chromatography A | 1999

Determination of pyrethroid pesticide residues in fatty materials by solid-matrix dispersion partition followed by mini-column, size-exclusion chromatography

Alfonso Di Muccio; Patrizia Pelosi; Danilo Attard Barbini; Tiziana Generali; Silvana Girolimetti; Patrizia Stefanelli; Antonio Leonelli; Graziella Amendola; Luciano Vergori; Estefanı̀a Viana Fresquet

The method studied uses a combination of a solid-matrix dispersion partition (SMDP) followed by high-performance size-exclusion chromatography on a minicolumn (HPmSEC) of 7.8 mm I.D. for the separation of pyrethroid (PYR) residues from fatty material. The solid-matrix dispersion extraction is carried out by absorbing a fat solution onto an Extrelut-3 cartridge (filled with a macroporous diatomaceous material) and extracting the PYR residues with acetonitrile. Up to 1 g of fatty material can be extracted with 15 ml acetonitrile. The small amount (mean +/- S.D. = 12.4 +/- 5.9 mg) of fatty material which is eluted into the acetonitrile is further removed by HPmSEC. PYR pesticide residues are collected in a 2-ml fraction between 7 and 9 ml, the column being washed up to 24 ml. The two techniques used in series allow a better removal of fat, a greater input of sample and a lower consumption of solvent compared to the sole SEC on macrocolumns, and a lower limit of determination compared to the sole SEC on minicolumns. Recoveries of 9 PYR out of the 14 investigated residues from soya oil were in the range 66-83% at spiking levels ranging 0.49-2.57 mg/kg, while for 6 PYR residues tested at spiking levels in the range 0.13-0.53 mg/kg the recoveries were in the range 80-111%. Recovery of fluvalinate and permethrin could not be calculated due to interferences from soya oil, while lambda-cyhalothrin, esfenvalerate and tralomethrin gave low recovery. The final extract contains small amount (mean +/- S.D. = 2.4 +/- 0.9 mg) of lipid residue and is not completely free from interferences.


Journal of Chromatography A | 1993

Application of solid-phase partition cartridges in the determination of fungicide residues in vegetable samples

A. Di Muccio; Roberto Dommarco; D. Attard Barbini; Angela Santilio; Silvana Girolimetti; Antonella Ausili; M. Ventriglia; Tiziana Generali; Luciano Vergori

Disposable, ready-to-use cartridges filled with a macroporous diatomaceous material are used to extract in a single step fungicide residues with dichloromethane from aqueous acetone extracts of vegetables. This procedure takes the place of some functions (such as separating funnel partition, drying over anhydrous sodium sulphate and clean-up) usually performed by separate steps in classical schemes. Fourteen fungicides (dichloran, vinclozolin, chlorthalonil, triadimefon, dichlofluanide, procymidone, hexaconazole, captan, folpet, ditalimfos, iprodione, captafol, pyrazophos and fenarimol) were determined using the described procedure with recoveries between 83 and 107% at spiking levels ranging for the different compounds from 0.04 to 0.40 mg/kg. Crops subjected to the described procedure included lettuce, strawberry, apple, yellow pepper and peach, and gave extracts containing a mass of co-extractives between 5 and 30 mg. Compared with classical schemes, the described procedure is simple, less labour intensive, allows parallel handling of several extracts and does not require preparation and maintenance of equipment. Troublesome emulsions such as those frequently observed in separating funnel partitioning do not occur.


Journal of Chromatography A | 1995

Simplified clean-up for the determination of benzimidazolic fungicides by high-performance liquid chromatography with UV detection

A. Di Muccio; Ivano Camoni; M. Ventriglia; D. Attard Barbini; M. Mauro; Patrizia Pelosi; Tiziana Generali; Antonella Ausili; Silvana Girolimetti

Abstract A method was developed that allows the determination of benomyl, carbendazim (MBC), thiophanate methyl (TFM) as carbendazim and thiabendazole (TBZ) by HPLC with UV detection. After extraction and cyclization of TFM into MBC, the conversion of benomyl into MBC is carried out by absorbing the raw extract on a ready-to-use, disposable column of a macroporous Kieselghur-type material and percolating 0.1 M HCl through it. Benzimidazolic residues are partitioned into the acid solution whereas most of the co-extractives are retained on the column. The final clean-up is performed on a strong cation-exchange (SCX) cartridge. The determination of MBC and TBZ is carried out by HPLC-UV detection on a polymeric reversed-phase column eluted with a water-ecetonitrile (70 : 30). Recoveries of MBC and TBZ from pear, apple, orange, grape, kiwi, tomato and lettuce, spiked at levels of 0.22 and 0.88 mg/kg, were satisfactory (70%). The main features of the method include high selectivity towards MBC and TBZ, reduced consumption of reagents and solvents, reduced handling operations, lack of emulsions and the use of disposable items.


Journal of Environmental Science and Health Part B-pesticides Food Contaminants and Agricultural Wastes | 2011

Determination of acidic herbicides in cereals by QuEChERS extraction and LC/MS/MS.

Angela Santilio; Patrizia Stefanelli; Silvana Girolimetti; Roberto Dommarco

A simple and rapid method has been studied for the determination of acidic herbicides (2,4-D, Dichlorprop, Dichlorprop-p, Fluazifop, Fluroxypyr, MCPA, Mecoprop and Mecoprop-p) on cereals (rye). The method involves an alkaline hydrolysis with sodium hydroxide in order to release covalently bound compounds, prior to QuEChERS extraction, followed by neutralization and analysis via liquid chromatography-double mass spectrometry LC/MS/MS. The performance of the method either with or without alkaline hydrolysis was studied in terms of recovery rates and limit of quantification (LOQ). In either case, recoveries were determined at four spiking levels (0.02 mg/kg, 0.05 mg/kg, 0.1 mg/kg and 0.5 mg/kg) with 5 replicates for each level. Mean recoveries ranged from 90 to 120 %, whereas relative standard deviations (RSD %) proved to be less than 20 %. Quantitative analysis was carried out by the internal standard (Nicarbazin) and the LC/MS/MS analysis was performed in electrospray ionisation (ESI) negative mode using a Zorbax XCB Eclipse column. The developed method was applied to the analysis of several cereals commercially available like as rye flour, oat meal, oat flakes and dehusked oat. Residue levels were found below the limit of quantification (LOQ) of the method. The method has been tested in EU Proficiency Tests for cereals with good results.


Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment | 2014

Estimation of the validation parameters for a fast analysis of herbicide residues by LC-MS/MS

Angela Santilio; Silvana Girolimetti; D. Attard Barbini

Due to strict regulatory requirements for pesticide residue analysis, only the results of residue analysis with acceptable quality should be reported. As a consequence proper validation of the measurement method is required. In this context, accuracy, precision, specificity, limit of determination (LOQ), matrix effect, linearity, uncertainty calculation and ruggedness become increasingly important. This paper reports a description of the validation parameters of a fast method for the determination of five phenoxy acid herbicides (2,4-D, MCPA, MCPP, haloxyfop and fluazifop) in food crops. The recoveries were performed in the concentration range from 0.05 to 0.5 mg kg–1 for apples, pears, carrots and celeriac with five replicates at each level. The mean recoveries ranged from 70% to 95% for all crops. The precision of the method expressed as a relative standard deviation (RSD%) was found to be in the range 3–14%. For all herbicides, the linearity response of the detector was tested by correlation coefficients (r2 > 0.99) in the concentration range from 0.05 to 0.5 mg kg–1. The LOQ was determined as the lowest spiked level meeting the requirement of accuracy (70–120%) and precision (RSD% < 20% according to European Union guidelines. The uncertainty and robustness were calculated. On the basis of the results, the method can be considered fast, simple and robust and is suitable to be applied to the analysis of studied herbicides in routine testing laboratories.


Journal of Environmental Science and Health Part B-pesticides Food Contaminants and Agricultural Wastes | 2012

Estimation of measurement uncertainty associated to the determination of pesticide residues: A case study

Patrizia Stefanelli; Danilo Attard Barbini; Silvana Girolimetti; Roberto Dommarco

In the analytical analysis the measurement uncertainty is a quantitative indicator of the confidence describing the range around a reported or experimental result within which the true value can be expected. Several approaches can be used to estimate the measurement uncertainty associated to the analysis of pesticide residues: a) the top-down, the estimation can be referred to default values; b) the bottom - up the estimation is related to the uncertainty sources. Concerning the bottom-up approach, the following contributions have been investigated: weight of sample, calibration solutions, final volume of sample and intermediate repeatability studies. The commodity/residue combination selected in this study was celery / tau-fluvalinate pesticide. Tau-fluvalinate is a broad-spectrum insecticide in the pyrethroid class of pesticides. The Maximum Residue Limit (MRL) of tau-fluvalinate in celery has been set at 0.01 mg/kg. The tau- Fluvalinate showed two chromatographic peaks. Since the individual standards are not available, the two peaks were integrated separately and the instrumental responses were added. The total residue was calculated on the basis of resulted peaks. The present work aims to compare the uncertainty estimated by experimental data using repeated analysis (n = 12) of a real sample and a spiked sample. The relative expanded uncertainty for two data set, incurred and spiked, was 22 % and 20 %, respectively. No differences were observed from repeated determinations of real samples and spiked samples.


Journal of Environmental Science and Health Part B-pesticides Food Contaminants and Agricultural Wastes | 2011

Determination of dimethyl fumarate (DMFu) in silica gel pouches using gas chromatography coupled ion trap mass spectrometry

Patrizia Stefanelli; Danilo Attard Barbini; Silvana Girolimetti; Angela Santilio; Roberto Dommarco

A simple method for the determination of dimethyl fumarate (DMFu) in silica gel pouches has been developed. The gas chromatographic behaviour of DMFu was investigated; the instrumental method, based on EI mass spectrometry coupled with an Ion Trap Detector operating whether in full scan mode or in MS/MS mode was also investigated. Several factors have been evaluated and optimized during the development process: solvent and temperature of extraction, type of stationary phase in capillary column. The analytical procedure consists of two steps as follows: (a) the sample preparation using 10 g of sample extracted with acetonitrile in an ultrasonic, heated bath and (b) the determination by gas chromatography-ion trap mass spectrometry. Mass spectrometry in conjunction with chromatographic separation is a very powerful combination for identification of an analyte in the extract in spite of selective detectors employed with GC, such as ECD, FPD and NPD, that offer only limited specificity. Blank samples show no interfering peaks in the areas of interest, so the specificity of the method was assured under the investigated GC/MS conditions. The method has been validated in terms of recovery, repeatability, linearity, detection limits and measurement uncertainty. The results obtained meet both the method validation criteria and requirements of the European/National legislation. The method was verified to be accurate with 97 % mean recoveries at 0.05 mg/kg and 1.00 mg/kg levels; the repeatability (expressed as RSD %) was found to be better than 15 %. Good linearity was found in the range between 0.05 μg/mL and 5.0 μg/mL and a value of R2> 0.9998 was calculated. The procedure ensures high specificity and a good sensitivity with detection limit (ld) of 0.02 mg/kg and quantification limit (LOQ) of 0.05 mg/kg. This procedure has been successfully applied for the analysis of several hundred of real samples collected during a monitoring control plan started last year in our country. All samples exceeding the maximum allowed level of DMFu (0, 1 mg/kg) were confirmed by GC/MS/MS (ITD) for a higher degree of confidence in identification. The main advantages of this method include: rapidity, simplicity (few, simple steps), reliability, cheapness, no need for long and difficult clean-up and evaporation steps, high specificity by using GC/MS and GC/MS/MS, availability for routine monitoring.


Journal of Environmental Science and Health Part B-pesticides Food Contaminants and Agricultural Wastes | 2013

Uncertainty estimation in the analysis of pesticide residues in olive oil using data from proficiency tests

Patrizia Stefanelli; Tiziana Generali; Danilo Attard Barbini; Silvana Girolimetti; Roberto Dommarco

In this work we report the results for estimating the measurement uncertainty (MU) following up the application of two different approaches, relatively the top-down procedure, by using proficiency test data. We have focused the estimation on the olive oil matrix. We used the analytical data obtained from five selected editions of the Proficiency Tests (PTs, from 2007 to 2011) on pesticide residues in olive oil to estimate the MU. These PTs have been organized by Istituto Superiore di Sanità annually in cooperation with International Olive Council (IOC) since 1997. The number of participants in each trial ranged from 10 to 43. We used a total of 34 pesticide results. The expanded uncertainty U (c) was calculated using a covering factor k = 2 for a confidence interval of 95%. In the approach 1, the within–laboratory reproducibility standard deviation is combined with estimates of the method and laboratory bias using PTs data. In the approach 2, the way of estimating the MU is based only on the bias that the laboratory has obtained participating in a sufficient number of the IOC proficiency tests. Comparing the relative expanded uncertainty based on these different approaches we notice values quite constant and close, from 42% to 48%. Moreover, these calculated expanded uncertainties are less than the default value of 50% (corresponding to a 95% confidence level), adopted from European guidance document SANCO based on the fit-for-purpose relative standard deviation (FFP-RSD).

Collaboration


Dive into the Silvana Girolimetti's collaboration.

Top Co-Authors

Avatar

Patrizia Stefanelli

Istituto Superiore di Sanità

View shared research outputs
Top Co-Authors

Avatar

Danilo Attard Barbini

Istituto Superiore di Sanità

View shared research outputs
Top Co-Authors

Avatar

Tiziana Generali

Istituto Superiore di Sanità

View shared research outputs
Top Co-Authors

Avatar

Patrizia Pelosi

Istituto Superiore di Sanità

View shared research outputs
Top Co-Authors

Avatar

Graziella Amendola

Istituto Superiore di Sanità

View shared research outputs
Top Co-Authors

Avatar

Alfonso Di Muccio

Istituto Superiore di Sanità

View shared research outputs
Top Co-Authors

Avatar

Roberto Dommarco

Istituto Superiore di Sanità

View shared research outputs
Top Co-Authors

Avatar

Angela Santilio

Istituto Superiore di Sanità

View shared research outputs
Top Co-Authors

Avatar

Fabiana Vanni

Istituto Superiore di Sanità

View shared research outputs
Top Co-Authors

Avatar

A. Di Muccio

Istituto Superiore di Sanità

View shared research outputs
Researchain Logo
Decentralizing Knowledge