Rapid Detection of Chloramphenicol Residues in Fermented Foods Based on UPLC-DAD

2021 ◽  
Vol 7 (6) ◽  
pp. 6303-6316
Author(s):  
Weixi Gao ◽  
Yan Zhuang
Keyword(s):  
Rapid Detection ◽  
Detection Method ◽  
Original Method ◽  
Fermented Food ◽  
Fermented Foods ◽  
Test Paper ◽  
Set Up ◽  
Test Process ◽  
Detection Reagent ◽  
Detection Speed

in the detection of chloramphenicol residues in fermented food, there are often problems of slow detection speed. Using UPLC-DAD method, a rapid detection method of chloramphenicol residues in fermented food based on UPLC-DAD method is designed. According to the characteristics of chloramphenicol, set up the detection reagent, select the detection equipment, and form the detection laboratory. It is usingUPLC-DAD method to design the test paper, using the set test reagent to deal with the sample to be tested, according to the design results of the test process, combining the reagent with the sample, to determine its specificity. Chloramphenicol residue was detected by test paper. So far, the rapid detection method of chloramphenicol residues in fermented food based on UPLC-DAD method has been designed. Compared with the original detection method, the detection speed of the detection method designed in this paper is significantly higher than the original method. In conclusion, the rapid detection method of chloramphenicol residues in fermented food based on UPLC-DAD method is effective.

Developing capital accounting practices in the integrated reporting system of agricultural organizations

2020 ◽  
Vol 23 (8) ◽  
pp. 906-921
Author(s):  
R.A. Alborov ◽  
S.M. Kontsevaya ◽  
S.V. Kozmenkova
Keyword(s):  
Original Method ◽  
Theory And Practice ◽  
Integrated Reporting ◽  
Governance System ◽  
Analysis And Synthesis ◽  
Agricultural Organizations ◽  
Set Up ◽  
Definition Of ◽  
Methodological Aspects ◽  
Agricultural Organization

Subject. This article deals with the theory-and practice-relevant issues of classification and content definition of different types of capital used as sources of operations financing, and recommendations for developing their accounting in agricultural organizations. Objectives. The article aims to substantiate the organizational and methodological aspects of capital accounting development to generate information on value reserve and creation of value as new in the organization's integrated reporting. The article also aims to define the classification and content of capital types as sources of financing for the organization's activities and develop recommendations for developing the accounting of the availability, increase, reduction or transformation of the relevant types of capital in the organization's business activities. Methods. For the study, we used the methods of analysis and synthesis, induction and deduction, analogy, and comparison. The scientific works of domestic specialists and regulations, including the International Standard on Integrated Reporting (IR) are the methodological basis of this work. Results. The article defines conceptual provisions and offers practical recommendations on the set-up and development of capital flow accounting in the corporate governance system of the agricultural organization. It clarifies the classification and economic content of capital as a source of funding for the organization's reproduction activities. The article also offers an original method of accounting for the value reserve (balances) and capital changes. Conclusions and Relevance. The practical application of the developed recommendations for value accounting and capital changes will help generate all the necessary information in the integrated reporting of the agricultural organization to assess its reserves of value, create value as new, economic, environmental, and social efficiency of the organization's activities. The results of the study can be used to develop the theory, methodology and techniques of accounting of capital types as sources of financing of value creation as a result of the agricultural organization's business activities.

scholarly journals A glimpse of antimicrobial resistance gene diversity in kefir and yoghurt

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Adrienn Gréta Tóth ◽  
István Csabai ◽  
Gergely Maróti ◽  
Ákos Jerzsele ◽  
Attila Dubecz ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Pathogenic Bacteria ◽  
Gene Diversity ◽  
Fermented Food ◽  
Practical Significance ◽  
Fermented Foods ◽  
Bacterial Strains ◽  
Genetic Components ◽  
Antimicrobial Resistance Genes ◽  
Antimicrobial Resistance Gene

AbstractAntimicrobial resistance (AMR) is a global threat gaining more and more practical significance every year. The main determinants of AMR are the antimicrobial resistance genes (ARGs). Since bacteria can share genetic components via horizontal gene transfer, even non-pathogenic bacteria may provide ARG to any pathogens which they become physically close to (e.g. in the human gut). In addition, fermented food naturally contains bacteria in high amounts. In this study, we examined the diversity of ARG content in various kefir and yoghurt samples (products, grains, bacterial strains) using a unified metagenomic approach. We found numerous ARGs of commonly used fermenting bacteria. Even with the strictest filter restrictions, we identified ARGs undermining the efficacy of aminocoumarins, aminoglycosides, carbapenems, cephalosporins, cephamycins, diaminopyrimidines, elfamycins, fluoroquinolones, fosfomycins, glycylcyclines, lincosamides, macrolides, monobactams, nitrofurans, nitroimidazoles, penams, penems, peptides, phenicols, rifamycins, tetracyclines and triclosan. In the case of gene lmrD, we detected genetic environment providing mobility of this ARG. Our findings support the theory that during the fermentation process, the ARG content of foods can grow due to bacterial multiplication. The results presented suggest that the starting culture strains of fermented foods should be monitored and selected in order to decrease the intake of ARGs via foods.

scholarly journals Examination of Abnormal Behavior Detection Based on Improved YOLOv3

Electronics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 197
Author(s):  
Meng-ting Fang ◽  
Zhong-ju Chen ◽  
Krzysztof Przystupa ◽  
Tao Li ◽  
Michal Majka ◽  
...  
Keyword(s):  
Detection Method ◽  
Abnormal Behavior ◽  
Detection Accuracy ◽  
Average Precision ◽  
Research Results ◽  
Behavior Detection ◽  
Abnormal Behavior Detection ◽  
The Mean ◽  
Examination Room ◽  
Detection Speed

Examination is a way to select talents, and a perfect invigilation strategy can improve the fairness of the examination. To realize the automatic detection of abnormal behavior in the examination room, the method based on the improved YOLOv3 (The third version of the You Only Look Once algorithm) algorithm is proposed. The YOLOv3 algorithm is improved by using the K-Means algorithm, GIoUloss, focal loss, and Darknet32. In addition, the frame-alternate dual-thread method is used to optimize the detection process. The research results show that the improved YOLOv3 algorithm can improve both the detection accuracy and detection speed. The frame-alternate dual-thread method can greatly increase the detection speed. The mean Average Precision (mAP) of the improved YOLOv3 algorithm on the test set reached 88.53%, and the detection speed reached 42 Frames Per Second (FPS) in the frame-alternate dual-thread detection method. The research results provide a certain reference for automated invigilation.

A simple rapid detection method of DNA based on ligation-mediated real-time fluorescence PCR

The Analyst ◽  
2013 ◽  
Vol 138 (19) ◽  
pp. 5745 ◽  
Author(s):  
Yu Qing Du ◽  
Peng Fei Gao ◽  
Wei Wang ◽  
Ting Ting Wang ◽  
Yong Chang ◽  
...  
Keyword(s):  
Real Time ◽  
Rapid Detection ◽  
Detection Method

A Novel Fast Pedestrian Detection Method

2015 ◽  
Vol 738-739 ◽  
pp. 538-541
Author(s):  
Fu Qiang Zhou ◽  
Yan Li
Keyword(s):  
Video Streaming ◽  
Local Binary Pattern ◽  
Detection Method ◽  
Pedestrian Detection ◽  
Original Method ◽  
Histograms Of Oriented Gradients ◽  
Detection Approach

This paper presents novel pedestrian detection approach in video streaming, which could process frames rapidly. The method is based on cascades of HOG-LBP (Histograms of Oriented Gradients-Local Binary Pattern), but combines non-negative factorization to reduce the length of the feature, aiming at realizing a more efficient way of detection, remedying the slowness of the original method. Experiments show our method can process faster than HOG and HOG-LBP, and more accurate than HOG, which has better performance in pedestrian detection in video streaming.

scholarly journals Study on Migration of Two Triazine Type Ultraviolet Absorbents from Polypropylene Packaging Materials to Food Simulant

2020 ◽  
Vol 145 ◽  
pp. 01024
Author(s):  
Yue Qiu ◽  
Yan Ruan ◽  
Genrong Li
Keyword(s):  
Rapid Detection ◽  
Extraction Method ◽  
Detection Method ◽  
Migration Behavior ◽  
Contact Materials ◽  
Food Contact Materials ◽  
Food Contact ◽  
Food Simulant ◽  
Uv Absorbers ◽  
Time Required

The migration rules of two triazine type of UV absorbents (UV-1577 and UV-1579) from polypropylene (PP) food contact materials to food simulant were investigated. A rapid detection method of UV-1577 and UV-1579 in PP food contact materials was established by ultra-performance convergence chromatography (UPC2). The optimal extraction method of the initial solution was determined, and the pretreatment methods of two UV absorbents in the liquid simulants were optimized. Experiment results showed that the interaction effects between the two UV absorbers and the liquid simulants were weak, and the migration behavior was the most obvious in the fatty simulant of isooctane. At the same temperature, the migration amount of both UV-1577 and UV-1579 increased with the extension of time, and UV-1577 was more prone to migration than UV-1579. Within a certain range, the migration amount of the two UV absorbents increased significantly with the increase of the migration temperature. The higher the temperature was, the shorter the time required to reach the equilibrium.

scholarly journals Isolation of thermo-tolerant and ethanol-tolerant yeast from local fermented foods and their potential as bioethanol producers

2021 ◽  
Vol 924 (1) ◽  
pp. 012077
Author(s):  
M Nurcholis ◽  
A Setiawan ◽  
J Kusnadi ◽  
J M Maligan
Keyword(s):  
High Temperatures ◽  
Fermented Food ◽  
Test Method ◽  
Fermented Foods ◽  
Three Stages ◽  
Liquid Chemical ◽  
The Cost ◽  
Tolerance To Ethanol ◽  
Descriptive Method ◽  
Selection Of

Abstract Bioethanol is a liquid chemical produced from sugar-, starch-or lignocellulosic-based biomass through fermentation by ethanol-producing microbes. Ethanol-producing yeast generally has limited tolerance to ethanol and has limitation to high temperatures above 40°C. High-temperature tolerant yeast is required because it potentially reduces the risk of contamination and it also reduces the cost of the cooling process. This study aims to determine ethanol-producing yeasts that have tolerance to ethanol and high temperatures from local fermented food products. This study uses a descriptive method conducted in three stages. Isolation and selection of yeast were performed from 18 local fermented foods in Indonesia. Temperature and ethanol tolerance of selected yeast were performed by using a spot test method. The ethanol content was tested using Gas Chromatography (GC). The results exhibited that isolate F08b had the highest tolerance to ethanol and temperature. The isolate was able to grow up to a temperature of 50°C and a concentration of 18% ethanol. Meanwhile, isolate F10 was able to produce the highest ethanol concentration at 3.37% (v/v) in 48th-hour fermentation.

scholarly journals Does Consumption of Fermented Foods Modify the Human Gut Microbiota?

2020 ◽  
Vol 150 (7) ◽  
pp. 1680-1692 ◽  
Author(s):  
Leah T Stiemsma ◽  
Reine E Nakamura ◽  
Jennifer G Nguyen ◽  
Karin B Michels
Keyword(s):  
Gut Microbiota ◽  
Human Health ◽  
Food Consumption ◽  
Intervention Studies ◽  
Fermented Food ◽  
Fermented Foods ◽  
Human Intervention ◽  
Human Gut ◽  
Gut Dysbiosis ◽  
Human Gut Microbiota

ABSTRACT The human microbiota is a key contributor to many aspects of human health and its composition is largely influenced by diet. There is a growing body of scientific evidence to suggest that gut dysbiosis (microbial imbalance of the intestine) is associated with inflammatory and immune-mediated diseases (e.g., inflammatory bowel disease and asthma). Regular consumption of fermented foods (e.g., kimchi, kefir, etc.) may represent a potential avenue to counter the proinflammatory effects of gut dysbiosis. However, an assessment of the available literature in this research area is lacking. Here we provide a critical review of current human intervention studies that analyzed the effect of fermented foods on the composition and/or function of the human gut microbiota. A total of 19 human intervention studies were identified that met this search criteria. In this review, we discuss evidence that consumption of fermented foods may modify the gut microbiota in humans. Further, there is cursory evidence to suggest that gut microbiota compositional changes mediate associations between fermented food consumption and human health outcomes. Although promising, there remains considerable heterogeneity in the human populations targeted in the intervention studies we identified. Larger longitudinal feeding studies with longer follow-up are necessary to confirm and enhance the current data. Further, future studies should consider analyzing microbiota function as a means to elucidate the mechanism linking fermented food consumption with human health. This review highlights methodologic considerations for intervention trials, emphasizing an expanse of research opportunities related to fermented food consumption in humans.

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