Comparative Evaluation of the Difco Disc Assay Method for Detecting Penicillin in Milk and Milk Products

R E Ginn1, Sita Tatini1, V S Packard1

  • 1Dairy Quality Control Institute, Inc., St. Paul, Minnesota 55113 and Department of Food Science and Nutrition, University of Minnesota, St. Paul, Minnesota 55108.

Journal of Food Protection
|February 24, 2019
PubMed

Insights

The Difco disc assay effectively detects penicillin residues in milk, showing higher sensitivity than other methods. This method is reliable for ensuring milk product safety and quality.

Area of Science:

  • Food safety and analytical chemistry.
  • Microbiology and antibiotic residue detection.

Background:

  • Antibiotic residues in milk pose a significant food safety concern.
  • Accurate detection methods are crucial for regulatory compliance and consumer protection.

Purpose of the Study:

  • To evaluate the Difco disc assay for detecting penicillin residues in milk.
  • To compare its performance against Bacillus subtilis disc assay and Sarcina lutea cylinder plate methods.

Main Methods:

  • Comparative analysis of three antibiotic detection methods: Difco disc assay, Bacillus subtilis disc assay, and Sarcina lutea cylinder plate.
  • Analysis of 5200 raw milk samples for penicillin presence.

Main Results:

  • The Difco method detected penicillin down to 0.002 units/ml, utilizing color change and zone of inhibition.
  • Difco identified 0.92% positive samples for penicillin, with 78.4% confirmation by S. lutea.
  • Bacillus subtilis method identified 0.239% positive samples.

Conclusions:

  • The Difco disc assay is an effective and sensitive method for detecting penicillin in raw and finished milk products.
  • It offers improved detection capabilities compared to the Bacillus subtilis method for penicillin residues.

Related Concept Videos

Effects of EDTA on End-Point Detection Methods01:18

Effects of EDTA on End-Point Detection Methods

Different methods, such as visual observance of metal-ion indicators, spectroscopic techniques, and potentiometric methods, can determine the endpoint of an EDTA titration.
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a...
660
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
18.7K
Comparative Excretory Systems02:24

Comparative Excretory Systems

Animals have evolved different strategies for excretion, the removal of waste from the body. Most waste must be dissolved in water to be excreted, so an animal’s excretory strategy directly affects its water balance.
26.6K
Precipitation Titration: Endpoint Detection Methods01:19

Precipitation Titration: Endpoint Detection Methods

In argentometric precipitation titrations, endpoints can be detected visually by the Mohr, Volhard, and Fajans methods. In the Mohr method, adding a soluble chromate indicator gives an initial yellow color to the analyte solution. As the titrant is added, the first excess of silver ions forms a red silver chromate precipitate, marking the endpoint. The solution pH should be maintained at about 8 by adding solid CaCO3.
In the Volhard method, a standard excess of AgNO3 is first added to the...
6.0K
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
5.9K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
583