This page has only limited features, please log in for full access.
An assessment of the natural ochratoxin A (OTA) exposure of seven Martina Franca jennies was carried out by analyzing blood and milk samples collected close to and after delivery. A total of 41 and 34 blood samples were collected from jennies and foals, respectively, and analyzed by ELISA. A total of 33 milk samples were collected from jennies and analyzed by the HPLC/FLD method based on IAC clean-up. Furthermore, 53 feed samples were collected from January to September and analyzed by a reference method (AOAC Official Method No. 2000.03) for OTA content. Feed samples showed OTA levels up to 2.7 ng/g with an incidence of 32%, while the OTA incidence rate in jennies’ blood samples was 73%, with a median value of 97 ng/L and concentrations ranging from
Vincenzo Lippolis; Shafaq Asif; Michelangelo Pascale; Salvatore Cervellieri; Erminia Mancini; Angelo Peli; Ippolito De Amicis; Domenico Robbe; Fiorenza Minervini. Natural Occurrence of Ochratoxin A in Blood and Milk Samples from Jennies and Their Foals after Delivery. Toxins 2020, 12, 758 .
AMA StyleVincenzo Lippolis, Shafaq Asif, Michelangelo Pascale, Salvatore Cervellieri, Erminia Mancini, Angelo Peli, Ippolito De Amicis, Domenico Robbe, Fiorenza Minervini. Natural Occurrence of Ochratoxin A in Blood and Milk Samples from Jennies and Their Foals after Delivery. Toxins. 2020; 12 (12):758.
Chicago/Turabian StyleVincenzo Lippolis; Shafaq Asif; Michelangelo Pascale; Salvatore Cervellieri; Erminia Mancini; Angelo Peli; Ippolito De Amicis; Domenico Robbe; Fiorenza Minervini. 2020. "Natural Occurrence of Ochratoxin A in Blood and Milk Samples from Jennies and Their Foals after Delivery." Toxins 12, no. 12: 758.
Italy is the country with the largest durum wheat pasta production and consumption. The mandatory labelling for pasta indicating the country of origin of wheat has made consumers more aware about the consumed pasta products and is influencing their choice towards 100% Italian wheat pasta. This aspect highlights the need to promote the use of domestic wheat as well as to develop rapid methodologies for the authentication of pasta. A rapid, inexpensive, and easy-to-use method based on infrared spectroscopy was developed and validated for authenticating pasta made with 100% Italian durum wheat. The study was conducted on pasta marketed in Italy and made with durum wheat cultivated in Italy (n = 176 samples) and on pasta made with mixtures of wheat cultivated in Italy and/or abroad (n = 185 samples). Pasta samples were analyzed by Fourier transform-near infrared (FT-NIR) spectroscopy coupled with supervised classification models. The good performance results of the validation set (sensitivity of 95%, specificity and accuracy of 94%) obtained using principal component-linear discriminant analysis (PC-LDA) clearly demonstrated the high prediction capability of this method and its suitability for authenticating 100% Italian durum wheat pasta. This output is of great interest for both producers of Italian pasta pointing toward authentication purposes of their products and consumer associations aimed to preserve and promote the typicity of Italian products.
Annalisa De Girolamo; Salvatore Cervellieri; Erminia Mancini; Michelangelo Pascale; Antonio Francesco Logrieco; Vincenzo Lippolis. Rapid Authentication of 100% Italian Durum Wheat Pasta by FT-NIR Spectroscopy Combined with Chemometric Tools. Foods 2020, 9, 1551 .
AMA StyleAnnalisa De Girolamo, Salvatore Cervellieri, Erminia Mancini, Michelangelo Pascale, Antonio Francesco Logrieco, Vincenzo Lippolis. Rapid Authentication of 100% Italian Durum Wheat Pasta by FT-NIR Spectroscopy Combined with Chemometric Tools. Foods. 2020; 9 (11):1551.
Chicago/Turabian StyleAnnalisa De Girolamo; Salvatore Cervellieri; Erminia Mancini; Michelangelo Pascale; Antonio Francesco Logrieco; Vincenzo Lippolis. 2020. "Rapid Authentication of 100% Italian Durum Wheat Pasta by FT-NIR Spectroscopy Combined with Chemometric Tools." Foods 9, no. 11: 1551.
An untargeted method using direct analysis in real time and high resolution mass spectrometry (DART-HRMS) combined to multivariate statistical analysis was developed for the discrimination of two monofloral (chestnut and acacia) honeys for their geographical origins—i.e., Italy and Portugal for chestnut honey and Italy and China for acacia honey. Principal Component Analysis, used as an unsupervised approach, showed samples of clusterization for chestnut honey samples, while overlapping regions were observed for acacia honeys. Three supervised statistical approaches, such as Principal Components—Linear Discriminant Analysis, Partial Least Squares—Discriminant Analysis and k-nearest neighbors, were tested on the dataset gathered and relevant performances were compared. All tested statistical approaches provided comparable prediction abilities in cross-validation and external validation with mean values falling between 89.2–98.4% for chestnut and between 85.8–95.0% for acacia honey. The results obtained herein indicate the feasibility of the DART-HRMS approach in combination with chemometrics for the rapid authentication of honey’s geographical origin.
Vincenzo Lippolis; Elisabetta De Angelis; Giuseppina Maria Fiorino; Annalisa Di Gioia; Marco Arlorio; Antonio Francesco Logrieco; Linda Monaci. Geographical Origin Discrimination of Monofloral Honeys by Direct Analysis in Real Time Ionization-High Resolution Mass Spectrometry (DART-HRMS). Foods 2020, 9, 1205 .
AMA StyleVincenzo Lippolis, Elisabetta De Angelis, Giuseppina Maria Fiorino, Annalisa Di Gioia, Marco Arlorio, Antonio Francesco Logrieco, Linda Monaci. Geographical Origin Discrimination of Monofloral Honeys by Direct Analysis in Real Time Ionization-High Resolution Mass Spectrometry (DART-HRMS). Foods. 2020; 9 (9):1205.
Chicago/Turabian StyleVincenzo Lippolis; Elisabetta De Angelis; Giuseppina Maria Fiorino; Annalisa Di Gioia; Marco Arlorio; Antonio Francesco Logrieco; Linda Monaci. 2020. "Geographical Origin Discrimination of Monofloral Honeys by Direct Analysis in Real Time Ionization-High Resolution Mass Spectrometry (DART-HRMS)." Foods 9, no. 9: 1205.
The demand for the development of fast, easy-to-use and low-cost analytical methods for food adulteration analysis has being increasing in the last years. Although infrared spectroscopic techniques offer these advantages, the validation of screening methods requiring the application of multivariate data treatment is less frequently described in literature thus limiting their use as routine tools in control laboratories for food fraud monitoring. In this paper, an EU-validation procedure for screening methods was successfully applied to a multivariate FT-NIR spectroscopic method for the screening of durum wheat pasta samples adulterated with common wheat at the screening target concentration of 3%. Good results in terms of the cut-off value (2.32% mass fraction of soft wheat) and false suspect rates (0.1% for blanks; 13% at 1% mass fraction) demonstrated that the present validation approach would be a proof-of-strategy to be used for multivariate infrared screening methods intended for the detection of pasta adulteration.
Annalisa De Girolamo; Marcia Carolina Arroyo; Vincenzo Lippolis; Salvatore Cervellieri; Marina Cortese; Michelangelo Pascale; Antonio Francesco Logrieco; Christoph von Holst. A simple design for the validation of a FT-NIR screening method: Application to the detection of durum wheat pasta adulteration. Food Chemistry 2020, 333, 127449 .
AMA StyleAnnalisa De Girolamo, Marcia Carolina Arroyo, Vincenzo Lippolis, Salvatore Cervellieri, Marina Cortese, Michelangelo Pascale, Antonio Francesco Logrieco, Christoph von Holst. A simple design for the validation of a FT-NIR screening method: Application to the detection of durum wheat pasta adulteration. Food Chemistry. 2020; 333 ():127449.
Chicago/Turabian StyleAnnalisa De Girolamo; Marcia Carolina Arroyo; Vincenzo Lippolis; Salvatore Cervellieri; Marina Cortese; Michelangelo Pascale; Antonio Francesco Logrieco; Christoph von Holst. 2020. "A simple design for the validation of a FT-NIR screening method: Application to the detection of durum wheat pasta adulteration." Food Chemistry 333, no. : 127449.
Different batches of biomass/feed quality maize contaminated by aflatoxins were processed at the industrial scale (a continuous process and separate discontinuous steps) to evaluate the effect of different cleaning solutions on toxin reduction. The investigated cleaning solutions included: (i) mechanical size separation of coarse, small and broken kernels, (ii) removal of dust/fine particles through an aspiration channel, (iii) separation of kernels based on gravity and (iv) optical sorting of spatial and spectral kernel defects. Depending on the sampled fraction, dynamic or static sampling was performed according to the Commission Regulation No. 401/2006 along the entire cleaning process lines. Aflatoxin analyses of the water–slurry aggregate samples were performed according to the AOAC Official Method No. 2005.008 based on high-performance liquid chromatography and immunoaffinity column cleanup of the extracts. A significant reduction in aflatoxin content in the cleaned products, ranging from 65% to 84% with respect to the uncleaned products, was observed when continuous cleaning lines were used. Additionally, an overall aflatoxin reduction from 55% to 94% was obtained by combining results from separate cleaning steps. High levels of aflatoxins (up to 490 µg/kg) were found in the rejected fractions, with the highest levels in dust and in the rejected fractions from the aspirator and optical sorting. This study shows that a cleaning line combining both mechanical and optical sorting technologies provides an efficient solution for reducing aflatoxin contamination in maize.
Michelangelo Pascale; Antonio F. Logrieco; Matthias Graeber; Marina Hirschberger; Mareike Reichel; Vincenzo Lippolis; Annalisa De Girolamo; Veronica M.T. Lattanzio; Katarina Slettengren. Aflatoxin Reduction in Maize by Industrial-Scale Cleaning Solutions. Toxins 2020, 12, 331 .
AMA StyleMichelangelo Pascale, Antonio F. Logrieco, Matthias Graeber, Marina Hirschberger, Mareike Reichel, Vincenzo Lippolis, Annalisa De Girolamo, Veronica M.T. Lattanzio, Katarina Slettengren. Aflatoxin Reduction in Maize by Industrial-Scale Cleaning Solutions. Toxins. 2020; 12 (5):331.
Chicago/Turabian StyleMichelangelo Pascale; Antonio F. Logrieco; Matthias Graeber; Marina Hirschberger; Mareike Reichel; Vincenzo Lippolis; Annalisa De Girolamo; Veronica M.T. Lattanzio; Katarina Slettengren. 2020. "Aflatoxin Reduction in Maize by Industrial-Scale Cleaning Solutions." Toxins 12, no. 5: 331.
Fourier transform (FT) infrared spectroscopy, in combination with Partial-Least Squares Discriminant Analysis (PLS-DA) and Linear Discriminant Analysis (LDA), was used to discriminate commercial durum wheat pasta from Italy and Argentina for common wheat adulteration. Samples were analyzed by both near- and mid-infrared spectroscopy (FT-NIR, FT-MIR) and the performance results were compared. Classification models were developed and validated using Argentinean and Italian durum wheat pasta samples containing common wheat at levels up to 28% and lower than 0.5%, respectively (as determined by ELISA method). The first LDA and PLS-DA models grouped samples into three-classes, i.e. common wheat ≤1%, from 1 to ≤5% and >5%; while the second LDA and PLS-DA models grouped samples into two-classes using a cut-off of 2% common wheat. The accuracy of the validated models were between 80 and 95% for the three-classes approach and between 91 and 97% for the two-classes approach. In general, the three-classes approach provided better results in the FT-NIR range while the two-classes approach provided comparable results in both spectral ranges. Results indicate that FT-NIR and FT-MIR spectroscopy, in combination with chemometric models, represent a promising, inexpensive and easy-to-use screening tool to rapidly analyze durum wheat pasta samples for monitoring common wheat adulteration.
Annalisa De Girolamo; Marcia Carolina Arroyo; Salvatore Cervellieri; Marina Cortese; Michelangelo Pascale; Antonio Francesco Logrieco; Vincenzo Lippolis. Detection of durum wheat pasta adulteration with common wheat by infrared spectroscopy and chemometrics: A case study. LWT 2020, 127, 109368 .
AMA StyleAnnalisa De Girolamo, Marcia Carolina Arroyo, Salvatore Cervellieri, Marina Cortese, Michelangelo Pascale, Antonio Francesco Logrieco, Vincenzo Lippolis. Detection of durum wheat pasta adulteration with common wheat by infrared spectroscopy and chemometrics: A case study. LWT. 2020; 127 ():109368.
Chicago/Turabian StyleAnnalisa De Girolamo; Marcia Carolina Arroyo; Salvatore Cervellieri; Marina Cortese; Michelangelo Pascale; Antonio Francesco Logrieco; Vincenzo Lippolis. 2020. "Detection of durum wheat pasta adulteration with common wheat by infrared spectroscopy and chemometrics: A case study." LWT 127, no. : 109368.
In this research paper fresh-cut artichokes were treated for 48 h at 0 °C with different CO2 concentration (CO2-10%, CO2-20%, CO2-30%, CO2-40%, AIR) and then stored for 7 d at 5 °C in air. High CO2 short-term treatment until 30% reduced respiration rate, browning index, preserving the total phenols content and antioxidant activity at the level of untreated samples. However, the application of CO2 concentration around 40% might cause a fermentative metabolism, according to maturity stage. VOCs analysis showed that CO2-10% was the best treatment to preserve the volatile profile of the fresh samples, characterized by specific compounds, including terpenes, alcohols, esters, aldehydes, hydrocarbon and heterocyclic compounds. On the other hand, CO2-40% resulted associated to fermentative compounds, mainly esters. Finally aqueous metabolite profile, evaluated by NMR, was not affected by CO2 short-term treatments.
I. Capotorto; V. Innamorato; M. Cefola; S. Cervellieri; V. Lippolis; F. Longobardi; A.F. Logrieco; B. Pace. High CO2 short-term treatment to preserve quality and volatiles profile of fresh-cut artichokes during cold storage. Postharvest Biology and Technology 2020, 160, 111056 .
AMA StyleI. Capotorto, V. Innamorato, M. Cefola, S. Cervellieri, V. Lippolis, F. Longobardi, A.F. Logrieco, B. Pace. High CO2 short-term treatment to preserve quality and volatiles profile of fresh-cut artichokes during cold storage. Postharvest Biology and Technology. 2020; 160 ():111056.
Chicago/Turabian StyleI. Capotorto; V. Innamorato; M. Cefola; S. Cervellieri; V. Lippolis; F. Longobardi; A.F. Logrieco; B. Pace. 2020. "High CO2 short-term treatment to preserve quality and volatiles profile of fresh-cut artichokes during cold storage." Postharvest Biology and Technology 160, no. : 111056.
Three non-targeted methods, i.e. 1H NMR, LC-HRMS, and HS-SPME/MS-eNose, combined with chemometrics, were used to classify two table grape cultivars (Italia and Victoria) based on five quality levels (5, 4, 3, 2, 1). Grapes at marketable quality levels (5, 4, 3) were also discriminated from non-marketable quality levels (2 and 1). PCA-LDA and PLS-DA were applied, and results showed that, the MS-eNose provided the best results. Specifically, with the Italia table grapes, mean prediction abilities ranging from 87% to 88% and from 98% to 99% were obtained for discrimination amongst the five quality levels and of marketability/non-marketability, respectively. For the cultivar Victoria, mean predictive abilities higher than 99% were achieved for both classifications. Good models were also obtained for both cultivars using NMR and HRMS data, but only for classification by marketability. Satisfying models were further validated by MCCV. Finally, the compounds that contributed the most to the discriminations were identified.
Valentina Innamorato; Francesco Longobardi; Salvatore Cervellieri; Maria Cefola; Bernardo Pace; Imperatrice Capotorto; Vito Gallo; Antonino Rizzuti; Antonio F. Logrieco; Vincenzo Lippolis. Quality evaluation of table grapes during storage by using 1H NMR, LC-HRMS, MS-eNose and multivariate statistical analysis. Food Chemistry 2020, 315, 126247 .
AMA StyleValentina Innamorato, Francesco Longobardi, Salvatore Cervellieri, Maria Cefola, Bernardo Pace, Imperatrice Capotorto, Vito Gallo, Antonino Rizzuti, Antonio F. Logrieco, Vincenzo Lippolis. Quality evaluation of table grapes during storage by using 1H NMR, LC-HRMS, MS-eNose and multivariate statistical analysis. Food Chemistry. 2020; 315 ():126247.
Chicago/Turabian StyleValentina Innamorato; Francesco Longobardi; Salvatore Cervellieri; Maria Cefola; Bernardo Pace; Imperatrice Capotorto; Vito Gallo; Antonino Rizzuti; Antonio F. Logrieco; Vincenzo Lippolis. 2020. "Quality evaluation of table grapes during storage by using 1H NMR, LC-HRMS, MS-eNose and multivariate statistical analysis." Food Chemistry 315, no. : 126247.
The co-occurrence of regulated mycotoxins in foods and feeds, together with modified (“masked”) and emerging mycotoxins, has been increasingly reported worldwide in recent years. Therefore, sensitive, accurate, and validated methods for the simultaneous determination of these hazardous contaminants in different matrices are highly demanded to fulfil regulatory requirements and to carry out reliable surveillance programs. In these last years, LC-MS methodologies for multimycotoxin screening and/or quantification are being routinely used in control laboratories. However, to date, only one European Standard for multimycotoxin determination is based on LC-MS (EN 16877:2016). The need for standardized LC-MS methods for multimycotoxin determination has been highlighted by regulatory authorities and scientific advisory bodies, including the U.S. Food and Drug Administration and the European Commission. The European Committee for Standardization (CEN) has issued calls for tender for the development of standardized LC-MS methods for mycotoxins in food and animal feeding stuffs. As deliverables, some LC-MS based methods for multimycotoxin determination are currently under approval as European Standards. In addition, the European Commission has recently established specific criteria with which screening methods for mycotoxins, including LC-MS methods, have to comply for use for regulatory purposes. Validation procedures by single-laboratory and collaborative trials have been defined. This paper provides insights and advances on guidelines and tools for performance evaluation of LC-MS methods intended for quantitative determination and for semiquantitative screening of multimycotoxins. In particular, performance criteria set in the European Union and the United States are critically overviewed, and expectations, needs, and future challenges relevant to LC-MS methods for multimycotoxin determination are also discussed.
Michelangelo Pascale; Annalisa De Girolamo; Vincenzo Lippolis; Joerg Stroka; Hans Mol; Veronica M.T. Lattanzio. Performance Evaluation of LC-MS Methods for Multimycotoxin Determination. Journal of AOAC INTERNATIONAL 2019, 102, 1708 -1720.
AMA StyleMichelangelo Pascale, Annalisa De Girolamo, Vincenzo Lippolis, Joerg Stroka, Hans Mol, Veronica M.T. Lattanzio. Performance Evaluation of LC-MS Methods for Multimycotoxin Determination. Journal of AOAC INTERNATIONAL. 2019; 102 (6):1708-1720.
Chicago/Turabian StyleMichelangelo Pascale; Annalisa De Girolamo; Vincenzo Lippolis; Joerg Stroka; Hans Mol; Veronica M.T. Lattanzio. 2019. "Performance Evaluation of LC-MS Methods for Multimycotoxin Determination." Journal of AOAC INTERNATIONAL 102, no. 6: 1708-1720.
Fourier transform near infrared (FT-NIR) spectroscopy, in combination with principal component-linear discriminant analysis (PC-LDA), was used for tracing the geographical origin of durum wheat samples. The classification model PC-LDA was applied to discriminate durum wheat samples originating from Northern, Central, and Southern Italy (n = 181), and to differentiate Italian durum wheat samples from those cultivated in other countries across the world (n = 134). Developed models were validated on a separated set of wheat samples. Different pre-treatments of spectral data and different spectral regions were selected and compared in terms of overall discrimination (OD) rates obtained in validation. The LDA models were able to correctly discriminate durum Italian wheat samples according to their geographical origin (i.e., North, Central, and South) with OD rates of up of 96.7%. Better results were obtained when LDA models were applied to the discrimination of Italian durum wheat samples from those originating from other countries across the world, having OD rates of up to 100%. The excellent results obtained herein clearly indicate the potential of FT-NIR spectroscopy to be used for the discrimination of durum wheat samples according to their geographical origin.
Annalisa De Girolamo; Marina Cortese; Salvatore Cervellieri; Vincenzo Lippolis; Michelangelo Pascale; Antonio Francesco Logrieco; Michele Suman. Tracing the Geographical Origin of Durum Wheat by FT-NIR Spectroscopy. Foods 2019, 8, 450 .
AMA StyleAnnalisa De Girolamo, Marina Cortese, Salvatore Cervellieri, Vincenzo Lippolis, Michelangelo Pascale, Antonio Francesco Logrieco, Michele Suman. Tracing the Geographical Origin of Durum Wheat by FT-NIR Spectroscopy. Foods. 2019; 8 (10):450.
Chicago/Turabian StyleAnnalisa De Girolamo; Marina Cortese; Salvatore Cervellieri; Vincenzo Lippolis; Michelangelo Pascale; Antonio Francesco Logrieco; Michele Suman. 2019. "Tracing the Geographical Origin of Durum Wheat by FT-NIR Spectroscopy." Foods 8, no. 10: 450.
T-2 and HT-2 toxins and their main modified forms (T-2 glucoside and HT-2 glucoside) may co-occur in cereals and cereal-based products. A fluorescence polarization immunoassay (FPIA) was developed for the simultaneous determination of T-2 toxin, HT-2 toxin and relevant glucosides, expressed as sum. The developed FPIA, using a HT-2-specific antibody, showed high sensitivity (IC50 = 2.0 ng/mL) and high cross-reactivity (100% for T-2 toxin and 80% for T-2 and HT-2 glucosides). The FPIA has been used to develop two rapid and easy-to-use methods using two different extraction protocols, based on the use of organic (methanol/water, 90:10, v/v) and non-organic (water) solvents, for the determination of these toxins in wheat. The two proposed methods showed analytical performances in terms of sensitivity (LOD 10 µg/kg) recovery (92-97%) and precision (relative standard deviations ≤13%), fulfilling the criteria for acceptability of an analytical method for the quantitative determination of T-2 and HT-2 toxins established by the European Union. Furthermore, the methods were then validated in accordance with the harmonized guidelines for the validation of screening methods included in the Regulation (EU) No. 519/2014. The satisfactory analytical performances, in terms of intermediate precision (≤25%), cut-off level (80 and 96 µg/kg for the two methods) and rate of false positives (<0.1%) confirmed the applicability of the proposed methods as screening method for assessing the content of these toxins in wheat at the EU indicative levels reported for T-2 and HT-2 toxins.
Vincenzo Lippolis; Anna C. R. Porricelli; Erminia Mancini; Biancamaria Ciasca; Veronica M. T. Lattanzio; Annalisa De Girolamo; Chris M. Maragos; Susan McCormick; Peiwu Li; Antonio F. Logrieco; Michelangelo Pascale. Fluorescence Polarization Immunoassay for the Determination of T-2 and HT-2 Toxins and Their Glucosides in Wheat. Toxins 2019, 11, 380 .
AMA StyleVincenzo Lippolis, Anna C. R. Porricelli, Erminia Mancini, Biancamaria Ciasca, Veronica M. T. Lattanzio, Annalisa De Girolamo, Chris M. Maragos, Susan McCormick, Peiwu Li, Antonio F. Logrieco, Michelangelo Pascale. Fluorescence Polarization Immunoassay for the Determination of T-2 and HT-2 Toxins and Their Glucosides in Wheat. Toxins. 2019; 11 (7):380.
Chicago/Turabian StyleVincenzo Lippolis; Anna C. R. Porricelli; Erminia Mancini; Biancamaria Ciasca; Veronica M. T. Lattanzio; Annalisa De Girolamo; Chris M. Maragos; Susan McCormick; Peiwu Li; Antonio F. Logrieco; Michelangelo Pascale. 2019. "Fluorescence Polarization Immunoassay for the Determination of T-2 and HT-2 Toxins and Their Glucosides in Wheat." Toxins 11, no. 7: 380.
Fumonisin B1 (FB1) is a carcinogenic mycotoxin produced by Fusarium species contaminating maize. At present, fumonisin determination is performed using costly and demanding chromatography techniques or immunoassays. Recently, a molecularly imprinted polymer nanoparticles (nanoMIPs) - based assay (MINA) has been developed for FB1 detection. Herein, we have applied MINA for the determination of FB1 in naturally contaminated maize samples and results were compared with those obtained with ELISA and a reference HPLC method (AOAC No. 2001.04). The nanoMIPs as a recognition element mimicking antibodies used in ELISA were produced by solid phase synthesis and used in MINA for FB1 determination in 53 maize samples. As a result, 18 maize samples were contaminated with FB1 at levels higher than 0.25 mg/kg. Fumonisin concentrations from samples measured by MINA were well correlated with those using ELISA and HPLC. Therefore, MINA could be used as an alternative technique for FB1 determination in maize.
Hasim Munawar; Abeer H.M. Safaryan; Annalisa De Girolamo; Alvaro Garcia-Cruz; Pedro Marote; Kal Karim; Vincenzo Lippolis; Michelangelo Pascale; Sergey A. Piletsky. Determination of Fumonisin B1 in maize using molecularly imprinted polymer nanoparticles-based assay. Food Chemistry 2019, 298, 125044 .
AMA StyleHasim Munawar, Abeer H.M. Safaryan, Annalisa De Girolamo, Alvaro Garcia-Cruz, Pedro Marote, Kal Karim, Vincenzo Lippolis, Michelangelo Pascale, Sergey A. Piletsky. Determination of Fumonisin B1 in maize using molecularly imprinted polymer nanoparticles-based assay. Food Chemistry. 2019; 298 ():125044.
Chicago/Turabian StyleHasim Munawar; Abeer H.M. Safaryan; Annalisa De Girolamo; Alvaro Garcia-Cruz; Pedro Marote; Kal Karim; Vincenzo Lippolis; Michelangelo Pascale; Sergey A. Piletsky. 2019. "Determination of Fumonisin B1 in maize using molecularly imprinted polymer nanoparticles-based assay." Food Chemistry 298, no. : 125044.
(AFB1) in maize and wheat using LFD and LC-HRMS, respectively. The results of analyses were used to calculate intermediate precision (RSDip, covering the inter-analyst variability in preparing the analytical samples and the precision under repeatability conditions) cut-off values and false suspect rates. RSDip ranged from 6.5% to 30% for DON, and from 16% to 33% for AFB1. The highest obtained variances were associated with the AFB1 analyses due to working with much lower mass fractions. The rate of false suspect results were lower than 0.1% for all tested methods. All methods showed a fit-for-purpose method performance profile, which allowed a clear distinction of samples containing the analytes at the screening target concentration (STC) from negative control samples. Moreover, the first time users obtained method performances similar to those obtained for validation studies previously performed on the screening methods included in the training course.
Veronica M. T. Lattanzio; Christoph Von Holst; Vincenzo Lippolis; Annalisa De Girolamo; Antonio F. Logrieco; Hans G. J. Mol; Michelangelo Pascale. Evaluation of Mycotoxin Screening Tests in a Verification Study Involving First Time Users. Toxins 2019, 11, 129 .
AMA StyleVeronica M. T. Lattanzio, Christoph Von Holst, Vincenzo Lippolis, Annalisa De Girolamo, Antonio F. Logrieco, Hans G. J. Mol, Michelangelo Pascale. Evaluation of Mycotoxin Screening Tests in a Verification Study Involving First Time Users. Toxins. 2019; 11 (2):129.
Chicago/Turabian StyleVeronica M. T. Lattanzio; Christoph Von Holst; Vincenzo Lippolis; Annalisa De Girolamo; Antonio F. Logrieco; Hans G. J. Mol; Michelangelo Pascale. 2019. "Evaluation of Mycotoxin Screening Tests in a Verification Study Involving First Time Users." Toxins 11, no. 2: 129.
The use of infrared spectroscopic for the screening of 229 unprocessed durum wheat samples naturally contaminated with OTA has been investigated. Samples were analysed by both Fourier Transform near- and mid-infrared spectroscopy (FT-NIR, FT-MIR). Partial-Least Squares-Discriminant Analysis (PLS-DA) and Principal Component-Linear Discriminant Analysis (PC-LDA) classification models were used to differentiate highly contaminated durum wheat samples from low contaminated ones and the performances of the resulting models were compared. The overall discrimination rates were higher than 94% for both FT-NIR and FT-MIR range by using a cut-off limit set at 2 µg/kg OTA, independently from the classification model used thus confirming the reliability of the two statistical approaches used. False compliant rates of 6% were obtained for both spectral ranges and both classification models. These findings indicate that FT-NIR, as well as FT-MIR analysis, might be a promising, inexpensive and easy-to-use screening tool to rapidly discriminate unprocessed wheat samples for OTA content.
Annalisa De Girolamo; Christoph von Holst; Marina Cortese; Salvatore Cervellieri; Michelangelo Pascale; Francesco Longobardi; Lucia Catucci; Anna Chiara Raffaella Porricelli; Vincenzo Lippolis. Rapid screening of ochratoxin A in wheat by infrared spectroscopy. Food Chemistry 2019, 282, 95 -100.
AMA StyleAnnalisa De Girolamo, Christoph von Holst, Marina Cortese, Salvatore Cervellieri, Michelangelo Pascale, Francesco Longobardi, Lucia Catucci, Anna Chiara Raffaella Porricelli, Vincenzo Lippolis. Rapid screening of ochratoxin A in wheat by infrared spectroscopy. Food Chemistry. 2019; 282 ():95-100.
Chicago/Turabian StyleAnnalisa De Girolamo; Christoph von Holst; Marina Cortese; Salvatore Cervellieri; Michelangelo Pascale; Francesco Longobardi; Lucia Catucci; Anna Chiara Raffaella Porricelli; Vincenzo Lippolis. 2019. "Rapid screening of ochratoxin A in wheat by infrared spectroscopy." Food Chemistry 282, no. : 95-100.
The feasibility of applying the infrared spectroscopy for the geographical origin traceability of lentils from two different countries (Italy and Canada) was investigated. In particular, lentil samples were analyzed by Fourier transform near- and mid-infrared (FT-NIR and FT-MIR) spectroscopy and then discriminated by applying supervised models, i.e., linear discriminant analysis (LDA) and partial least squares discriminant analysis (PLS-DA). To avoid LDA overfitting, two variable strategies were adopted, i.e., a variable reduction by principal component analysis and a variable compression by wavelet packet transform algorithm. FT-MIR models were more discriminating compared to FT-NIR ones with prediction abilities ranging from 98 to 100% and from 91 to 100% for cross- and external validation, respectively. The combination of the FT-MIR and FT-NIR data did not improve the model performances. These findings demonstrated the suitability of the FT-MIR spectroscopy, in combination with supervised pattern recognition techniques, to successfully classify lentils according to their geographical origin.
Valentina Innamorato; Francesco Longobardi; Vincenzo Lippolis; Marina Cortese; Antonio F. Logrieco; Lucia Catucci; Angela Agostiano; Annalisa De Girolamo. Tracing the Geographical Origin of Lentils (Lens culinaris Medik.) by Infrared Spectroscopy and Chemometrics. Food Analytical Methods 2018, 12, 773 -779.
AMA StyleValentina Innamorato, Francesco Longobardi, Vincenzo Lippolis, Marina Cortese, Antonio F. Logrieco, Lucia Catucci, Angela Agostiano, Annalisa De Girolamo. Tracing the Geographical Origin of Lentils (Lens culinaris Medik.) by Infrared Spectroscopy and Chemometrics. Food Analytical Methods. 2018; 12 (3):773-779.
Chicago/Turabian StyleValentina Innamorato; Francesco Longobardi; Vincenzo Lippolis; Marina Cortese; Antonio F. Logrieco; Lucia Catucci; Angela Agostiano; Annalisa De Girolamo. 2018. "Tracing the Geographical Origin of Lentils (Lens culinaris Medik.) by Infrared Spectroscopy and Chemometrics." Food Analytical Methods 12, no. 3: 773-779.
BACKGROUND Deoxynivalenol (DON) is the most common Fusarium mycotoxin occurring in wheat and derived products with several adverse and toxic effects in animals and humans. Although bran fractions produced by milling of wheat have numerous health benefits, cereal bran is the part of the grain with the highest concentration of DON thus representing a risk for consumers. Increased efforts have been made to develop analytical methods suitable for rapid DON screening. RESULTS The applicability of using Fourier transform near‐infrared (FT‐NIR), mid‐infrared (FT‐MIR) spectroscopy and their combination for rapid analysis of DON in wheat bran has been investigated for the classification of samples into compliant and non‐compliant regarding the EC legal limit of 750 μg kg‐1. Partial Least Squares‐Discriminant Analysis (PLS‐DA) and Principal Component‐Linear Discriminant Analysis (PC‐LDA) were employed as classification techniques using a cut‐off value of 400 μg kg‐1 DON to distinguish the two classes. Depending on the classification model, overall discrimination rates were from 87% to 91% for FT‐NIR and from 86% to 87% for FT‐MIR spectral range. The FT‐NIR spectroscopy gave the highest overall classification rate of wheat bran samples with no false compliant samples and 18% of false not compliant samples, when the PC‐LDA classification model was applied. The combination of the two spectral ranges did not provide a substantial improvement of classification results with respect to FT‐NIR. CONCLUSIONS FT‐NIR in combination with classification models was an efficient tool to screen many DON‐contaminated wheat bran samples and assess their compliance with EC regulation. This article is protected by copyright. All rights reserved.
Annalisa De Girolamo; Salvatore Cervellieri; Marina Cortese; Anna Chiara Raffaella Porricelli; Michelangelo Pascale; Francesco Longobardi; Christoph Von Holst; Leonardo Ciaccheri; Vincenzo Lippolis. Fourier transform near-infrared and mid-infrared spectroscopy as efficient tools for rapid screening of deoxynivalenol contamination in wheat bran. Journal of the Science of Food and Agriculture 2018, 99, 1946 -1953.
AMA StyleAnnalisa De Girolamo, Salvatore Cervellieri, Marina Cortese, Anna Chiara Raffaella Porricelli, Michelangelo Pascale, Francesco Longobardi, Christoph Von Holst, Leonardo Ciaccheri, Vincenzo Lippolis. Fourier transform near-infrared and mid-infrared spectroscopy as efficient tools for rapid screening of deoxynivalenol contamination in wheat bran. Journal of the Science of Food and Agriculture. 2018; 99 (4):1946-1953.
Chicago/Turabian StyleAnnalisa De Girolamo; Salvatore Cervellieri; Marina Cortese; Anna Chiara Raffaella Porricelli; Michelangelo Pascale; Francesco Longobardi; Christoph Von Holst; Leonardo Ciaccheri; Vincenzo Lippolis. 2018. "Fourier transform near-infrared and mid-infrared spectroscopy as efficient tools for rapid screening of deoxynivalenol contamination in wheat bran." Journal of the Science of Food and Agriculture 99, no. 4: 1946-1953.
An untargeted method using headspace solid-phase microextraction coupled to electronic nose based on mass spectrometry (HS-SPME/MS-eNose) in combination with chemometrics was developed for the discrimination of oranges of three geographical origins (Italy, South Africa and Spain). Three multivariate statistical models, i.e. PCA/LDA, SELECT/LDA and PLS-DA, were built and relevant performances were compared. Among the tested models, SELECT/LDA provided the highest prediction abilities in cross-validation and external validation with mean values of 97.8% and 95.7%, respectively. Moreover, HS-SPME/GC-MS analysis was used to identify potential markers to distinguish the geographical origin of oranges. Although 28 out of 65 identified VOCs showed a different content in samples belonging to different classes, a pattern of analytes able to discriminate simultaneously samples of three origins was not found. These results indicate that the proposed MS-eNose method in combination with multivariate statistical analysis provided an effective and rapid tool for authentication of the orange’s geographical origin.
Valentina Centonze; Vincenzo Lippolis; Salvatore Cervellieri; Anna Damascelli; Grazia Casiello; Michelangelo Pascale; Antonio Francesco Logrieco; Francesco Longobardi. Discrimination of geographical origin of oranges (Citrus sinensis L. Osbeck) by mass spectrometry-based electronic nose and characterization of volatile compounds. Food Chemistry 2018, 277, 25 -30.
AMA StyleValentina Centonze, Vincenzo Lippolis, Salvatore Cervellieri, Anna Damascelli, Grazia Casiello, Michelangelo Pascale, Antonio Francesco Logrieco, Francesco Longobardi. Discrimination of geographical origin of oranges (Citrus sinensis L. Osbeck) by mass spectrometry-based electronic nose and characterization of volatile compounds. Food Chemistry. 2018; 277 ():25-30.
Chicago/Turabian StyleValentina Centonze; Vincenzo Lippolis; Salvatore Cervellieri; Anna Damascelli; Grazia Casiello; Michelangelo Pascale; Antonio Francesco Logrieco; Francesco Longobardi. 2018. "Discrimination of geographical origin of oranges (Citrus sinensis L. Osbeck) by mass spectrometry-based electronic nose and characterization of volatile compounds." Food Chemistry 277, no. : 25-30.
Maria Cefola; Anna Damascelli; Vincenzo Lippolis; Salvatore Cervellieri; Vito Linsalata; Antonio Francesco Logrieco; Bernardo Pace. Relationships among volatile metabolites, quality and sensory parameters of ‘Italia’ table grapes assessed during cold storage in low or high CO 2 modified atmospheres. Postharvest Biology and Technology 2018, 142, 124 -134.
AMA StyleMaria Cefola, Anna Damascelli, Vincenzo Lippolis, Salvatore Cervellieri, Vito Linsalata, Antonio Francesco Logrieco, Bernardo Pace. Relationships among volatile metabolites, quality and sensory parameters of ‘Italia’ table grapes assessed during cold storage in low or high CO 2 modified atmospheres. Postharvest Biology and Technology. 2018; 142 ():124-134.
Chicago/Turabian StyleMaria Cefola; Anna Damascelli; Vincenzo Lippolis; Salvatore Cervellieri; Vito Linsalata; Antonio Francesco Logrieco; Bernardo Pace. 2018. "Relationships among volatile metabolites, quality and sensory parameters of ‘Italia’ table grapes assessed during cold storage in low or high CO 2 modified atmospheres." Postharvest Biology and Technology 142, no. : 124-134.
BACKGROUND Deoxynivalenol (DON) is the mycotoxin, mainly produced by Fusarium species, most frequently occurring in cereals and cereal‐based products. Wheat bran is the outer layers of the kernel with a high risk of chemical hazards, including mycotoxins. Rapid methods for DON detection in wheat bran are highly demanded. RESULTS A rapid screening method using an electronic nose (e‐nose) based on metal oxide semiconductor sensors has been developed to distinguish wheat bran samples with different levels of DON contamination. A total of 470 naturally contaminated wheat bran samples was analysed by e‐nose analysis. Wheat bran samples were divided in two contamination classes: class A ([DON] ≤ 400 μg kg‐1, 225 samples) and class B ([DON] > 400 μg kg‐1, 245 samples). Discriminant Function Analysis (DFA), classified wheat bran samples with good mean recognition abilities in both calibration (92%) and validation (89%). In addition, a pattern of seventeen volatile compounds of wheat bran samples that were associated (positively or negatively) with DON content was characterized by HS‐SPME/GC‐MS. CONCLUSIONS These results indicate that the developed e‐nose method could be a useful tool for high throughput screening of DON‐contaminated wheat bran samples for their classification as acceptable/rejectable at contamination levels close to the EU maximum limit for DON, then reducing the number of samples to be analysed with a confirmatory method.
Vincenzo Lippolis; Salvatore Cervellieri; Anna Damascelli; Michelangelo Pascale; Annalisa Di Gioia; Francesco Longobardi; Annalisa De Girolamo. Rapid prediction of deoxynivalenol contamination in wheat bran by MOS-based electronic nose and characterization of the relevant pattern of volatile compounds. Journal of the Science of Food and Agriculture 2018, 98, 4955 -4962.
AMA StyleVincenzo Lippolis, Salvatore Cervellieri, Anna Damascelli, Michelangelo Pascale, Annalisa Di Gioia, Francesco Longobardi, Annalisa De Girolamo. Rapid prediction of deoxynivalenol contamination in wheat bran by MOS-based electronic nose and characterization of the relevant pattern of volatile compounds. Journal of the Science of Food and Agriculture. 2018; 98 (13):4955-4962.
Chicago/Turabian StyleVincenzo Lippolis; Salvatore Cervellieri; Anna Damascelli; Michelangelo Pascale; Annalisa Di Gioia; Francesco Longobardi; Annalisa De Girolamo. 2018. "Rapid prediction of deoxynivalenol contamination in wheat bran by MOS-based electronic nose and characterization of the relevant pattern of volatile compounds." Journal of the Science of Food and Agriculture 98, no. 13: 4955-4962.
Lentil samples coming from two different countries, i.e. Italy and Canada, were analysed using untargeted (1)H NMR fingerprinting in combination with chemometrics in order to build models able to classify them according to their geographical origin. For such aim, Soft Independent Modelling of Class Analogy (SIMCA), k-Nearest Neighbor (k-NN), Principal Component Analysis followed by Linear Discriminant Analysis (PCA-LDA) and Partial Least Squares-Discriminant Analysis (PLS-DA) were applied to the NMR data and the results were compared. The best combination of average recognition (100%) and cross-validation prediction abilities (96.7%) was obtained for the PCA-LDA. All the statistical models were validated both by using a test set and by carrying out a Monte Carlo Cross Validation: the obtained performances were found to be satisfying for all the models, with prediction abilities higher than 95% demonstrating the suitability of the developed methods. Finally, the metabolites that mostly contributed to the lentil discrimination were indicated.
Francesco Longobardi; Valentina Innamorato; Annalisa Di Gioia; Andrea Ventrella; Vincenzo Lippolis; Antonio F. Logrieco; Lucia Catucci; Angela Agostiano. Geographical origin discrimination of lentils (Lens culinaris Medik.) using 1H NMR fingerprinting and multivariate statistical analyses. Food Chemistry 2017, 237, 743 -748.
AMA StyleFrancesco Longobardi, Valentina Innamorato, Annalisa Di Gioia, Andrea Ventrella, Vincenzo Lippolis, Antonio F. Logrieco, Lucia Catucci, Angela Agostiano. Geographical origin discrimination of lentils (Lens culinaris Medik.) using 1H NMR fingerprinting and multivariate statistical analyses. Food Chemistry. 2017; 237 ():743-748.
Chicago/Turabian StyleFrancesco Longobardi; Valentina Innamorato; Annalisa Di Gioia; Andrea Ventrella; Vincenzo Lippolis; Antonio F. Logrieco; Lucia Catucci; Angela Agostiano. 2017. "Geographical origin discrimination of lentils (Lens culinaris Medik.) using 1H NMR fingerprinting and multivariate statistical analyses." Food Chemistry 237, no. : 743-748.