Food Analytical Methods (FOOD ANAL METHOD)

Journal description

Current impact factor: 1.80

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 1.802
2012 Impact Factor 1.969
2011 Impact Factor 1.943
2010 Impact Factor 1.932
2009 Impact Factor 1.4
2008 Impact Factor 0

Impact factor over time

Impact factor
Year

Additional details

5-year impact 2.07
Cited half-life 2.30
Immediacy index 0.24
Eigenfactor 0.00
Article influence 0.45
Other titles SpringerLink
ISSN 1936-9751
OCLC 288980005
Material type Document, Periodical
Document type Journal / Magazine / Newspaper, Computer File

Publisher details

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Chromatographic system for simultaneous determination of levodopa, biogenic amines, and methylxanthines in food has been developed. Chromatographic column and pre-column with octadecylsilane phase and simultaneously fluorescence and DAD detectors have been used. Gradient elution with acetate buffer (pH = 4.66) with acetonitrile has been applied. Examination included levodopa, norepinephrine, dopamine, normetanephrine, tyramine, and serotonin as well as caffeine, theophylline, and theobromine. Limit of detection (LOD) and limit of quantitation (LOQ) have been determined for all compounds with signal to noise ratio (S/N) equal to 3 and 10, respectively. LOD of 10 ng/mL and LOQ of 30 ng/mL for levodopa and biogenic amines as well as LOD of 70 (60) ng/mL and LOQ of 210 (180) ng/mL for methylxanthines have been determined. Authors have also developed method for simultaneous separation of all analytes from food matrix. Developed chromatographic system with sample preparation method has been applied for determination of examined compounds in cocoa products, vegetables, and fruits.
    Food Analytical Methods 04/2015; 8(4). DOI:10.1007/s12161-014-9972-x
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    ABSTRACT: Protein chips have emerged as a useful approach for a wide variety of applications, including the identification of small molecule targets. In this study, a protein microarray method was developed for the simultaneous detection of the following four veterinary drug residues in synbranchoid eels: leucomalachite green (LMG), diethylstilbestrol (DES), medroxyprogesterone (MPA), and 3-amino-2-oxazolidone (AOZ). The analytes were coupled to ovalbumin (OVA) before immobilization on the surface of modified glass slides. After immobilization, a mixture of antibodies to the four analytes and either standard solutions containing the analytes or samples were added to the array reaction area. Then, Cy3-labeled goat anti-rabbit IgG was added and analyte residues were detected quantitatively. The results indicated that the 50 % inhibitory concentrations of DES, MPA, LMG, and AOZ were 2.0, 1.98, 1.65, and 0.355 μg/L, respectively. The limit of detection of DES, MPA, LMG, and AOZ in synbranchoid eels were 0.325, 0.37, 0.271, and 0.103 μg/kg, respectively, and recovery rates ranged from 60.7 to 98.6 % for fortified samples at levels of 2, 5, and 10 μg/kg with coefficient of variation values
    Food Analytical Methods 04/2015; 8(4). DOI:10.1007/s12161-014-9986-4
  • Food Analytical Methods 03/2015; DOI:10.1007/s12161-015-0151-5
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    ABSTRACT: A sensitive method for the quantification of acequinocyl and hydroxyacequinocyl in foodstuff (beef, chicken muscle and liver, fish, peach, cucumber, Chinese cabbage and broad bean) was developed by ultra-high performance liquid chromatography and tandem mass spectrometry. Acequinocyl and hydroxyacequinocyl were found to be stable in the presence of formic acid at low temperature (−18 °C) in the dark. The target compounds in solid food samples were successively extracted by acetonitrile containing 0.5 % (v/v) formic acid, and then cleaned up by using Florisil columns, and then evaporated to near dryness under a nitrogen stream at 40 °C, and finally dissolved in acetonitrile containing 0.5 % (v/v) formic acid. No matrix effect was observed from any foodstuff. Linear calibration curves with correlation coefficients of 0.9996 for acequinocyl and 0.9998 for hydroxyacequinocyl over the same range 2 to 100 μg L−1 were obtained. The intra-day and inter-day relative standard deviations were both superior to 3 % (N = 10) for 5 μg L−1. The method detection limits were 1.4 μg kg−1 for acequinocyl and 1.3 μg kg−1 for hydroxyacequinocyl. The method quantification limits were 4.6 and 4.3 μg kg−1, respectively, which were at least five times lower than their maximum residue limits for food. Neither acequinocyl nor hydroxyacequinocyl was detected in any foodstuff. The recoveries at spiked levels of 5, 10, and 50 μg kg−1 varied in the ranges 81–100 % for acequinocyl and 77–103 % for hydroxyacequinocyl in the foodstuffs, validating the accuracy of the proposed method.
    Food Analytical Methods 03/2015; 8(3). DOI:10.1007/s12161-014-9932-5
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    ABSTRACT: In this study, a novel sample preparation technique coupled with liquid chromatography was developed to determine the trace residues of antibiotics in food samples. Target analytes were extracted by accelerated solvent extraction (ASE), followed by the concentration and cleanup using micro-solid-phase extraction (μ-SPE). Variables affecting the ASE and μ-SPE were optimized to achieve the maximum extraction efficiency, besides the performance of the developed method was evaluated. Low detection limits of 7.4–16.3 ng/g and low quantification limits of 24.7–53.8 ng/g were achieved under optimized conditions. The recoveries of antibiotics ranged from 92 to 105 % with relative standard deviation of less than 9.3 %. The predominance was showed when compared to conventional ASE and μ-SPE. According to the results, ASE-μ-SPE was proved to be a simple and effective sample preparation method for the analysis of trace organic contaminants in food samples.
    Food Analytical Methods 02/2015; DOI:10.1007/s12161-015-0105-y
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    ABSTRACT: In order to improve feed safety, we investigated the feasibility of using fluorescence spectral imaging (FSI) technique to qualitatively detect meat and bone meal (MBM) mixed with fish meal (FM). Using the FSI system, the spectra of 90 FM and MBM samples from different regions were collected with denoising and binary processing to obtain images. The spectral data curves over the wavelength range of 400–680 nm were used for identification and were pre-treated with various methods. Next, the curves were plotted based on stereo spectrograms; then, partial least squares discriminant analysis (PLS-DA) was applied to determine the FM and MBM samples. One FM sample and one MBM sample were randomly selected and mixed together (v/v, 1:1), and the mixture’s pseudo-color (PC) image was generated by mapping the best grayscale values using a spectrogram method. The resulting PC image was then used for spatial identification of the mixture. The PLS-DA results indicated that the identification effect was best after the multiplicative scatter correction where the sensitivity, specificity, and accuracy all equaled to 1. The PC image demonstrate that the FM (green) and MBM (red) accounted for 52.6 and 47.4 % of the total volume, respectively, corresponding with the actual 1:1 ratio. Additionally, the experimental test of three low concentration-mixed powder samples (c[MBM] = 1.5 %, c[MBM] = 3 %, and c[MBM] = 5 %) determined that the lower limit of application (LLA) of the proposed method is c[MBM] = 1.5 %. Theoretical limit of detection (LOD) of the method was calculated about c[MBM] = 0.75 % through linear regression. These experiments show that the spectral and spatial information provided by FSI can rapidly and nondestructively determine whether FM is mixed with MBM.
    Food Analytical Methods 02/2015; DOI:10.1007/s12161-015-0109-7
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    ABSTRACT: This work aims at demonstrating the potential use of isotope ratio mass spectrometry (IRMS) to trace milk samples during Stelvio cheese production chain, one of the most important cheese in the Alpine region. The results showed that isotope fractionation does not occur during the Stelvio cheese manufacturing, regardless to the type of milk used (raw or pasteurized). However, when the isotope values of the main two cheese fractions were independently analyzed (the fat and the resulting defatted cheese fraction), then, the samples prepared with raw milk can be discriminated from those prepared with pasteurized milk. In addition, we also demonstrated that it is possible to detect the presence in cheese of extraneous matter having different isotope values. Proof of the concept was given by replacing raw milk samples (with d13C of −25.1 ± 0.1 ‰) with reconstituted milk obtained from powdered milk samples (having δ 13C of −20.4 ± 0.1 ‰). IRMS allowed to detect the presence in cheese of as low as 6.5 % of powdered milk. The results gave evidence that isotopic ratio mass spectrometry is able to trace milk samples along the cheese manufacturing and detect addition of milk or reconstituted powdered milk samples with significant different isotope value.
    Food Analytical Methods 02/2015; DOI:10.1007/s12161-015-0113-y
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    ABSTRACT: A method of stir bar sorptive extraction (SBSE) and thermal desorption (TD) with gas chromatography–mass spectrometry (GC-MS) has been developed for qualitative and quantitative analysis of volatile and flavor compounds in grilled beef. To achieve optimum extraction and analysis performance for volatile and flavor compounds, desorption temperature and solid extraction conditions of the method were studied. Grilled beef and grilled beef dripping were analyzed by the developed method with short analysis program, and a total of 57 volatile (31 flavor) compounds, including 12 aldehydes, 13 hydrocarbons, 12 alcohols and ketones, 9 nitrogen- and sulfur-containing compounds, and 10 pyrazine compounds, were identified with little variation in triplicates. Four typical flavor compounds: hexanal, methional, 2-ethyl-pyrazine, and nonanal, were selected from main flavor group for quantitative analysis, and the method showed good linearity within the tested concentration range from 2 ng/g to 0.2 μg/g (n = 3, RSDs R 2 > 0.998) and good recovery at 38∼45 % by spiked standards of 100 ng/g (n = 3, RSDs ≤ 11 %) in ground grilled beef. The limits of detection (LOD) range was 0.17–0.26 ng/g (S/N = 3, n = 3), and the limits of quantification (LOQ) range was 0.56–0.88 ng/g (S/N = 9, n = 3) for flavor analysts. The simple, fast, and solvent-less method allows us to obtain reliable qualitative and quantitative data of volatile and flavor constituents which are necessary for the beef quality evaluation.
    Food Analytical Methods 02/2015; 8(2). DOI:10.1007/s12161-014-9881-z
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    ABSTRACT: High-performance cation exchange chromatography with pulsed integrated amperometric electrochemical detector (HPCEC-PAD) with post-column addition of hydroxide was first developed for simultaneous analysis of 4-methylimidazole (4-MeI) and 2-methylimidazole (2-MeI) in caramel color and soft drinks after solid-phase extraction (SPE). A CS12A cation exchange column was used to separate the targeted analytes with a perfect resolution (2.70). This method demonstrated low limit of quantification (0.05–10 mg/L) and excellent linearity with correlation of determination (R 2 > 0.999 for 2-MeI and 0.997 for 4-MeI). Low concentrations of 4-MeI were found in five soft drinks, whereas those in caramel color were generally high. Additionally, the suggested method showed higher resolution and sensitivity comparing with previous reported methods for 4-MeI and 2-MeI analyses.
    Food Analytical Methods 02/2015; 8(2). DOI:10.1007/s12161-014-9917-4
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    ABSTRACT: For simultaneously monitoring two classes of organophosphorus pesticide residues in food samples, a polyclonal antibody against a dual-generic hapten immunogen, which was prepared by conjugating two generic haptens (O,O-dimethyl thiophosphate hapten and O,O-diethyl phosphate hapten) to the same carrier protein BSA, was raised and used to develop a broad-specificity competitive indirect enzyme-linked immunosorbent assay. With the optimized conditions, the developed immunoassay was able to detect 11 organothiophosphate pesticide and 5 organophosphate pesticide residues with detection limits of 0.018–0.135 μg/mL and 0.013–0.171 μg/mL, respectively. Recoveries of paraoxon-ethyl, fenamiphos, parathion-methyl, and fenthion from spiked samples ranged between 85.8 and 105.5 %. The results indicated that the immunoassay developed in this study is suitable for high-throughput screening of these low-molecular-weight contaminants in food samples.
    Food Analytical Methods 02/2015; 8(2). DOI:10.1007/s12161-014-9906-7
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    ABSTRACT: Springiness is an important quality characteristic of chicken meat, related with muscle structure and contents of biochemical components, and has great influence on eating quality of chicken meat. Traditional methods for springiness evaluation including manual inspection and instrumental measurement are tedious, time-consuming, and destructive. This study implemented a smart and promising nondestructive technique, i.e., hyperspectral imaging, for rapid prediction of springiness of fresh chicken meat. Hyperspectral images of tested samples with different springiness levels were acquired, and their spectral data were extracted in the spectral range of 400–1,000 nm. Two calibration methods, namely, partial least squares regression (PLSR) and artificial neural network (ANN), were respectively used to correlate the extracted spectra of chicken meat samples with the reference springiness values estimated by a twice-compression method. Successful projections algorithm (SPA) as a popular wavelength selection tool was applied, and ten optimal wavelengths (416, 458, 581, 637, 696, 722, 740, 754, 773, and 973 nm) were finally selected. Based on the selected optimal wavelengths, optimized SPA-PLSR and SPA-ANN model were established, respectively. By comparing with the results of two optimized models, the SPA-PLSR model showed better prediction results with high correlation coefficient (R p) of 0.84 and low root mean square error by prediction (RMSEP) of 0.159. Finally, an image processing algorithm was developed to transfer the SPA-PLSR model to each pixel in chicken meat for visualizing their springiness distribution. The results from the current study indicated that hyperspectral imaging could be a rapid and nondestructive tool for prediction of springiness of chicken meat.
    Food Analytical Methods 02/2015; 8(2). DOI:10.1007/s12161-014-9853-3
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    ABSTRACT: The enantioseparation and determination of isocarbophos enantiomers in orange pulp, peel, and kumquat by chiral HPLC tandem mass spectrometry (HPLC-MS/MS) are presented. Four cellulose-based chiral columns and two amylose-based columns were employed to explore the influence of chiral stationary phase on the enantioseparation selectivity and elution order of isocarbophos enantiomers. The fastest baseline enantioseparation of isocarbophos was achieved on amylose tris(3,5-dimethylphenylcarbamate) (Chiralpak AD-3R) with acetonitrile and water (containing 2 mmol L−1 ammonium formate and 0.1 % formic acid) (60:40, v/v) as mobile phase. The influence of temperature on enantioseparation of isocarbophos was investigated, indicating that the enantioseparation of isocarbophos on Chiralpak AD-3R columns was an enthalpy-driven separation. The method performance including linearity, sensitivity, matrix effect, and precision was evaluated. Under the optimized conditions, the recoveries of the isocarbophos enantiomers in orange pulp, peel, and kumquat were 76.1–95.4 % with RSD lower than 11.1 % at 5, 50, and 250 μg kg−1 levels. The limits of detection ranged from 0.2 to 0.5 μg kg−1 for enantiomers in orange pulp, peel, and kumquat. Application of the proposed method to the real sample analysis suggested its potential use in the enantioselective determination of isocarbophos in food samples.
    Food Analytical Methods 02/2015; 8(2). DOI:10.1007/s12161-014-9922-7
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    ABSTRACT: Probiotics are constituents of functional foods, which when administered in appropriate amounts confer a benefit to the host. Research studies performed on probiotics and gut microbiota along recent years have been focused on investigating the correlation between their molecular features and their impacts on individual health status. Consequently, many present and future challenges are being raised to elucidate the molecular bases of their interaction-mediated systemic effects, along with the ability to manipulate them for preventive and therapeutic interventions. Moreover, insights derived from the parallel evolution of “omics” technologies, with applications in different fields of biomedicine, are being efficiently transferred to this area of molecular microbiology. Thus, the present work compiles a summary of the general and useful omics applications: genomics, metagenomics, transcriptomics, proteomics, metabolomics, phenomics, and recently, integromics and interactomics and their putative use for validating models of interactions of the better-known probiotic microorganisms administered Lactobacillus and Bifidobacterium species. The impact on molecular resistance features, formula preparation, and route administration are also discussed. Omics tools will generate large amounts of data that, once correctly interpreted, are expected to rapidly validate the knowledge of probiotic molecular fundaments that trigger important positive human biological processes.
    Food Analytical Methods 02/2015; 8(2). DOI:10.1007/s12161-014-9923-6
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    ABSTRACT: In the scope of this study, pesticide residue distribution within a fruit and the possible error deriving from sample preparation step were demonstrated with the analysis of benomyl residues in peel, pulp, and seeds of papaya fruits treated post-harvest. Benomyl residue, measured as carbendazim, in corresponding sections of peel and pulp of papaya fruits ranged from 0.178 to 1.325 mg/kg and 0.025 to 0.087 mg/kg, respectively. Residue concentration decreased in a range between 41 and 83 % by peeling of papaya. All seeds contained residue value below limit of quantification. As the residues are unevenly distributed among the peel, pulp, and seed, pesticide residue analysis should be carried out accurately according to proper sample preparation protocol in peel, pulp, or in whole fruit and evaluated correctly taking into consideration the purpose of the analysis. The proportion of peel and pulp after their separation significantly affected the residues measured in the peel and pulp. It shows how peeling operation can affect the results and how important it is to remove the peel without significant portion of pulp attached to it. Thus, the selected test system could be well used to demonstrate the possible variability of measured residues depending on the uniformity of sample preparation.
    Food Analytical Methods 02/2015; 8(2). DOI:10.1007/s12161-014-9913-8
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    ABSTRACT: Food-labelling regulations require that meat species in food and feed are accurately declared to the consumer. Traceability systems based on species identification through DNA analysis are potent tools for the supervision of food adulteration. In this study, a TaqMan real-time polymerase chain reaction (PCR) assay targeting a short mitochondrial 12S ribosomal RNA (rRNA) gene fragment of 73 base pair (bp) was developed for detection of horse DNA in different commercial meat products for human and pet consumption. The method was found to be specific for horse and did not show any cross-reactivity with different species of mammals, birds, fish and plants. The assay complies with the acceptance criteria required for real-time PCR methods in terms of applicability, linear dynamic range, accuracy and PCR efficiency and showed to be sensitive allowing the detection of 1 pg of horse DNA. A range of food and feed products (n = 171) was screened with the horse-specific real-time PCR to determine whether a correct labelling had been employed at the market level. Results obtained when testing the meat products for human consumption were in agreement with the labelling description provided by the suppliers. In the case of the pet foods, undeclared horse meat was detected in 21 % of the samples at low levels, suggesting unintentional cross-contamination during processing. The reported real-time PCR methodology may represent a suitable tool for the detection of food mislabelling.
    Food Analytical Methods 02/2015; 8(2). DOI:10.1007/s12161-014-9914-7
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    ABSTRACT: Acacetin (1), 4′,7-dimethyl naringenin (2), and 4′,7-dimethyl apigenin (3)—three of the main markers active components of propolis—were chosen for the development and validation of a suitable HPLC method for quality control of the crude drug. A 23 factorial design was employed to study the main interactions of independent variables, and the efficient separation was achieved using an XBridge C18 column with an isocratic binary phase consisting of deionized water (TFA; 0.1 % v/v) (eluent A) in methanol (eluent B) (45:65, v/v) at a flow rate of 1.0 mL min−1. The method allows the quantification of 1–3; for each compound, a linear response was evaluated within the range of 100–1,000 μg mL−1 for 1, 25–200 μg mL−1 for 2, and 8–60 μg mL−1 for 3. All the calibration curves showed good linearity within the test ranges (r 2 ≥ 0.999). Percentage recoveries of the selected flavonoids 1–3 ranged between 98.3 and 101.2 % (RSD ≤2.0 %). The intra- and interday precision RSDs were no more than 2.0 %, while the repeatability variation was no more than 2.0 %. Finally, the method was applied to establish some seasonal and geographical variations of the markers in propolis obtained from several regions of Mexico. Thus, 4′,7-dimethyl apigenin (3) was selected as a marker compound from Mexican propolis, and, along with 2, could be useful for quality control procedures focused in to establish some geographical variation of Mexican propolis.
    Food Analytical Methods 02/2015; 8(2). DOI:10.1007/s12161-014-9908-5