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Yang N.,Jiangsu Key Laboratory of Anaerobic Biotechnology | Ren Y.,Jiangsu Key Laboratory of Anaerobic Biotechnology | Li X.,Jiangsu Key Laboratory of Anaerobic Biotechnology | Shi Y.,Food Safety Key Laboratory of Zhejiang Province | And 2 more authors.
Environmental Progress and Sustainable Energy | Year: 2015

Sediment microbial fuel cell (SMFC) is a novel technology that oxidizes organics in sludge or river/lake sediment to generate electricity using microorganisms as the biocatalyst. The electricity production performance of the SMFC was obviously enhanced by mixing conductive graphite fibers into the anodic sludge. The output voltages and the maximum power densities (Pmax) of the SMFCs increased with the increase in the added graphite fibers from 0.5 to 5 g L-1. Ultimately, the SMFC with 5 g L-1 graphite fibers (SMFC-5) exhibited the uppermost output voltage (154 mV) and Pmax (12.48 mW m-2), whereas that of the blank SMFC were 65 mV and 4.68 mW m-2, respectively. Moreover, the phospholipid concentrations on the anode surfaces of the SMFCs augmented with the increase of graphite fibers and the charge-transfer resistance (Rct) of the corresponding anodes evidently decreased when the amount of graphite fibers was increased. Furthermore, with the increase of graphite fibers, chemical oxygen demand removal efficiencies increased from 12.72% of the blank SMFC to 44.64% of the SMFC-5. However, the SMFC with 0.5 g L-1 graphite fibers (SMFC-0.5) provided the highest coulombic efficiency (CE%), 2.46%. © 2015 American Institute of Chemical Engineers Environ Prog.


Zhang X.,Zhejiang University | Wang X.,Zhejiang University | Sun M.,Zhejiang University | Zhang X.,Food Safety Key Laboratory of Zhejiang Province | And 5 more authors.
Toxins | Year: 2015

A novel enzyme-linked immunosorbent assay based on magnetic nanoparticles and biotin/streptavidin-HRP (MNP-bsELISA) was developed for rapid and sensitive detection of zearalenone (ZEN). The detection signal was enhanced and the sensitivity of the assay was improved by combined use of antibody-conjugated magnetic nanoparticles and biotin-streptavidin system. Under the optimized conditions, the regression equation for quantification of ZEN was y = −0.4287x + 0.3132 (R2 = 0.9904). The working range was 0.07–2.41 ng/mL. The detection limit was 0.04 ng/mL and IC50 was 0.37 ng/mL. The recovery rates of intra-assay and inter-assay ranged from 92.8%–111.9% and 91.7%–114.5%, respectively, in spiked corn samples. Coefficients of variation were less than 10% in both cases. Parallel analysis of cereal and feed samples showed good correlation between MNP-bsELISA and liquid chromatograph-tandem mass spectrometry (R2 = 0.9283).We conclude that this method is suitable for rapid detection of zearalenone in cereal and feed samples in relevant laboratories. © 2015 by the authors.


PubMed | Zhejiang University of Science and Technology, Shanghai JiaoTong University, Food Safety Key Laboratory of Zhejiang Province and Zhejiang University
Type: Journal Article | Journal: Toxins | Year: 2015

A novel enzyme-linked immunosorbent assay based on magnetic nanoparticles and biotin/streptavidin-HRP (MNP-bsELISA) was developed for rapid and sensitive detection of zearalenone (ZEN). The detection signal was enhanced and the sensitivity of the assay was improved by combined use of antibody-conjugated magnetic nanoparticles and biotin-streptavidin system. Under the optimized conditions, the regression equation for quantification of ZEN was y = -0.4287x + 0.3132 (R = 0.9904). The working range was 0.07-2.41 ng/mL. The detection limit was 0.04 ng/mL and IC50 was 0.37 ng/mL. The recovery rates of intra-assay and inter-assay ranged from 92.8%-111.9% and 91.7%-114.5%, respectively, in spiked corn samples. Coefficients of variation were less than 10% in both cases. Parallel analysis of cereal and feed samples showed good correlation between MNP-bsELISA and liquid chromatograph-tandem mass spectrometry (R = 0.9283). We conclude that this method is suitable for rapid detection of zearalenone in cereal and feed samples in relevant laboratories.


Yin F.,Zhejiang GongShang University | Yin F.,Food Safety Key Laboratory of Zhejiang Province | Huang J.,Zhejiang GongShang University | Huang J.,Food Safety Key Laboratory of Zhejiang Province | And 20 more authors.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2013

Oats (Avena Sativa L.) are one of the important food crops. It contains some rich nutrients. Oats easily gets mildew affected by environmental factors during storage, which is getting to be one of problems in the food safety field. As one artificial olfactory analysis method, the electronic nose technique is widely applied in crop quality detecting fields. This technique utilizes a gas sensor array to imitate a human's olfactory system. The detecting signals measured by a gas sensor array is discriminated and recognized by an artificial pattern recognition method. Then the species of the detecting objectives can be determined. In this paper, electronic nose system was utilized to discriminate mildewed oat samples. The diagram includes three main parts: data acquisition and transmitting unit, sensor array and the chamber unit, and power and gas supply unit. The sensor array consisted of eight semiconductor gas sensors. Polytetrafluorethylene (PTFE) material was utilized to fabricate the chamber. Each sensor room was separated, which helped to eliminate the cross-influence of the gas flow. At the same time, gas sensor array optimization was also studied. 25 g of oat samples were weighed and placed into an experimental container. The container was tightly sealed with parafilm. 40 samples were prepared. All samples were stored under room temperature and standard atmospheric pressure. In order to accelerate the mildew procedure of the samples, 4 mL deionized water was sprayed on all samples every day. 10 samples were randomly selected in an electronic nose measurement. The measurement time of each oat sample was 45 s. The experiments lasted for five days. The measurement data was measured and transmitted to the computer. The stochastic resonance had three principal parts: a weak input signal, a non-linear bistable system, and an additional dose of external Gaussian white noise. The experimental data was coupled into a non-linear bistable stochastic resonance model. Stepping external Gaussian stimulating white noise was utilized to modulate the stochastic resonance system for resonance generation. Finally, stochastic resonance signal-to-noise ratio (SNR) was calculated and exported as signal-to-noise ratio curves. Eigen values of systematic output signal-to-noise ratio were selected for principal component analysis (PCA). The total degree of contribution of the first principal component and the second principal component was 96.43%. In order to improve the mildewed oat discrimination rate, sensor loadings analysis was used to evaluate the contribution rate of all gas sensors. The optimized gas sensor array included S1, S2, S3, S4, S5, S6 and S7. After an optimization procedure, the total degree of contribution of the first principal component and the second principal component was 99.31%. These results demonstrated that an electronic nose system presents a discriminating ability for mildewed oat samples. Sensor array optimization based loadings analysis improved the discriminating rate. The proposed method is promising in the crop quality and safety analysis field.


Jiang Y.,Zhejiang GongShang University | Jiang Y.,Food Safety Key Laboratory of Zhejiang Province | Guo J.,Zhejiang GongShang University | Li Y.,Zhejiang GongShang University | And 6 more authors.
Journal of the Science of Food and Agriculture | Year: 2010

Background: Rosy vinegar is a well-known traditional Chinese product whose flavour is affected by its lactic acid content. In this study, Lactobacillus bacteria were employed to increase the content of lactic acid during the ethanol fermentation stage. Results: The optimised fermentation parameters were determined as an inoculation amount of 3% (v/v), a temperature of 30°C and an initial pH value of 4.0. Fermentation under these optimal conditions resulted in an alcohol degree of 6.2% (v/v), a total acidity of 49.5 g L-1 and a lactic acid content of 4.14 g L-1. The content of lactic acid (4.14 g L-1), which approached the level achieved by solid state fermentation, was 3.56-fold higher than that in vinegar fermented without lactic acid bacteria (1.16 g L-1). Conclusion: The results indicate that mixed fermentation with Lactobacillus plantarum and Saccharomyces cerevisiae strains greatly increases the lactic acid content and improves the flavour of rosy vinegar. © 2010 Society of Chemical Industry.


Guo X.,Zhejiang GongShang University | Guo X.,Food Safety Key Laboratory of Zhejiang Province | Han X.,Zhejiang GongShang University | Han X.,Food Safety Key Laboratory of Zhejiang Province | And 6 more authors.
Journal of Food Quality | Year: 2014

Response surface methodology was successfully applied to optimize the process parameters for flavor precursor - enzymolysis liquor by enzymolysis technology using Penaeus chinensis waste as raw material. The parameters, namely, enzyme concentration, reaction temperature and initial pH, on the degree of hydrolysis (DH) were optimized using central composite rotatable design. The obtained optimum conditions were: initial pH value of 6.5, Dispase concentration 2.0 wt %, reaction temperature 57C and hydrolysis time 3h with material:water ratio 1:10. Under the optimized conditions, the DH reached 57.65%. In the hydrolyzate, the content of free amino acids and essential amino acids was 29.67 and 11.30mg/mL, respectively. This product exhibited strong delicious flavor, so it was suitable for flavor seasoning. © 2014 Wiley Periodicals, Inc.


Wang M.,Zhejiang GongShang University | Wang M.,Food Safety Key Laboratory of Zhejiang Province | Du J.,Zhejiang GongShang University | Du J.,Food Safety Key Laboratory of Zhejiang Province | And 8 more authors.
Journal of Food Measurement and Characterization | Year: 2014

Paddy and maize moldy status rapid detection using electronic nose (E-nose) was investigated in this paper. An E-nose system with eight metal oxide semiconductor gas sensors was used to measure moldy status of paddy and maize samples at room temperature. Principal component analysis (PCA) and stochastic resonance (SR) are used for data processing. PCA results showed that E-nose could distinguish paddy and maize samples in different moldy status. Signal-to-noise ratio (SNR) spectrum calculated by SR discriminated paddy and maize samples. Moldy status predicting models were developed based on SNR maximums linear fitting regression. Validating experiments demonstrated that the developed models presented high detecting accuracy. The proposed method is promising in grain quality rapid analysis applications. © 2013 Springer Science+Business Media New York.


Zhang X.,Zhejiang University | Zhang X.,Food Safety Key Laboratory of Zhejiang Province | Li K.,Food Safety Key Laboratory of Zhejiang Province | Wu S.,Food Safety Key Laboratory of Zhejiang Province | And 2 more authors.
International Journal of Food Microbiology | Year: 2015

A peptide nucleic acid fluorescence in situ hybridization (PNA-FISH) method was developed for specific detection of the Vibrio genus. In silico analysis by BLAST and ProbeCheck showed that the designed PNA probe targeting the 16S rRNAs was suitable for specific identification of Vibrio. Specificity and sensitivity of the probe Vib-16S-1 were experimentally verified by its reactivity against 18 strains of 9 Vibrio species and 14 non-. Vibrio strains of 14 representative species. The PNA-FISH assay was able to identify 47 Vibrio positive samples from selectively enriched cultures of 510 samples of aquatic products and environments, comparable with the results obtained by biochemical identification and real-time PCR. We conclude that PNA-FISH can be an alternative method for rapid identification of Vibrio species in a broad spectrum of seafood or related samples. © 2015 Elsevier B.V.


Zhang X.,Food Safety Key Laboratory of Zhejiang Province | Wu S.,Food Safety Key Laboratory of Zhejiang Province | Li K.,Food Safety Key Laboratory of Zhejiang Province | Shuai J.,Food Safety Key Laboratory of Zhejiang Province | And 2 more authors.
International Journal of Food Microbiology | Year: 2012

A fluorescent . in situ hybridization (FISH) method in conjunction with fluorescin-labeled peptide nucleic acid (PNA) probes (PNA-FISH) for detection of . Listeria species was developed. . In silico analysis showed that three PNA probes Lis-16S-1, Lm-16S-2 and Liv-16S-5 were suitable for specific identification of . Listeria genus, . Listeria monocytogenes and . Listeria ivanovii, respectively. These probes were experimentally verified by their reactivity against 19 strains of six . Listeria species (excluding newly described species . Listeria marthii and . Listeria rocourtiae) and eight other bacterial species. The PNA-FISH method was optimized as 30. min of hybridization with 0.2% Triton X-100 in the solution and used to identify 85 . Listeria strains from individual putative . Listeria colonies on PALCAM agar plates streaked from selectively enriched cultures of 780 food or food-related samples. Of the 85 . Listeria strains, thirty-seven were identified as . L. monocytogenes with the probe Lm-16S-2 and two as . L. ivanovii with the probe Liv-16S-5 which was in agreement with the results obtained by the API LISTERIA method. Thus, the PNA-FISH protocol has the potential for identification of pathogenic . Listeria spp. from food or food-related samples. © 2012 Elsevier B.V.

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