Determining performance parameters in qualitative multivariate methods using probability of detection (POD) curves. Case study: Two common milk adulterants

Gondim, Carina de Souza; Junqueira, Roberto Gonçalves; Souza, Scheilla Vitorino Carvalho de; Callao, M. Pilar; Ruisánchez, Itziar

doi:10.1016/j.talanta.2016.12.065

Cited by 15 publications

(3 citation statements)

References 45 publications

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“…In addition, we determined LOD 95% by applying a statistical model for calculating the probability of detection (POD) across laboratories. Since its introduction by Uhlig et al [27], this model has already been used several times to determine the sensitivity of real-time PCR assays [32][33][34][35][36][37]. Qualitative results obtained for the seven dilution steps of the DNA isolate from roe deer meat were used to determine the laboratory standard deviation σ L, and the LOD 95% for the median laboratory, as described previously [27].…”

Section: Lod 95% Derived From the Mixed Model For The Pod Curvementioning

confidence: 99%

Real-Time PCR Assay for the Detection and Quantification of Roe Deer to Detect Food Adulteration—Interlaboratory Validation Involving Laboratories in Austria, Germany, and Switzerland

Druml

Uhlig²,

Simon³

et al. 2021

Foods

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Game meat products are particularly prone to be adulterated by replacing game meat with cheaper meat species. Recently, we have presented a real-time polymerase chain reaction (PCR) assay for the identification and quantification of roe deer in food. Quantification of the roe deer content in % (w/w) was achieved relatively by subjecting the DNA isolates to a reference real-time PCR assay in addition to the real-time PCR assay for roe deer. Aiming at harmonizing analytical methods for food authentication across EU Member States, the real-time PCR assay for roe deer has been tested in an interlaboratory ring trial including 14 laboratories from Austria, Germany, and Switzerland. Participating laboratories obtained aliquots of DNA isolates from a meat mixture containing 24.8% (w/w) roe deer in pork, roe deer meat, and 12 meat samples whose roe deer content was not disclosed. Performance characteristics included amplification efficiency, level of detection (LOD95%), repeatability, reproducibility, and accuracy of quantitative results. With a relative reproducibility standard deviation ranging from 13.35 to 25.08% (after outlier removal) and recoveries ranging from 84.4 to 114.3%, the real-time PCR assay was found to be applicable for the detection and quantification of roe deer in raw meat samples to detect food adulteration.

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Section: Lod 95% Derived From the Mixed Model For The Pod Curvementioning

confidence: 99%

Real-Time PCR Assay for the Detection and Quantification of Roe Deer to Detect Food Adulteration—Interlaboratory Validation Involving Laboratories in Austria, Germany, and Switzerland

Druml

Uhlig²,

Simon³

et al. 2021

Foods

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show abstract

“…Often applied to maintain the shelf-life of foul milk by incorporating chemicals such as carbonates, hydrogen peroxide, bicarbonates, caustic soda, salicylic acid, antibiotics and even the extreme deadly substance formalin (Francis et al, 2020). Milk adulteration not only affects the quality but it can be hazardous for health if consumed (Gondim et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Green-synthesized selenium nanoparticles using garlic extract and their application for rapid detection of salicylic acid in milk

AFTAB¹,

AHSAN²,

LIAQAT³

et al. 2023

Food Sci. Technol

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The highly selective, sensitive, and quick interference green synthesis-based sensing of possible milk adulterants i.e., salicylic acid has been reported here. Salicylic acid interacts with nanoparticles through strong bonding interactions, hence resulting in an interruption within the formation of selenium nanoparticles which is confirmed by UV-VIS spectroscopy, scanning electron microscopy, and x-ray diffraction. This interaction in the synthesis of nanoparticles resulted in transmittance wavelength that decrease with the increasing amount of salicylic acid, showing strong binding of selenium nanoparticles with adulterant thereby permitting in-situ fast detection of salicylic acid from milk having a limit of detection at 10 -3 mol and linear coefficient correlation of 0.9907.

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“…At present, there are many methods that can effectively evaluate the accuracy of binary results, such as Wilrich based on ISO 5725 [26], Fleiss's Kappa statistics [27], probability of detection (POD) model [28], Wieringen [29] and so on. POD is a model that reflects the change of detection probability with concentration [30] which can characterize metrics such as sensitivity, specificity, false positive and false negative rates. The POD model can plot qualitative data as a centralized function, and coordinate with the statistical parameters of quantitative method validation simultaneously, providing a unified statistical method for all method validation, solving the statistical problem of the unpaired test part.…”

Section: Introductionmentioning

confidence: 99%

An Improved POD Model for Fast Semi-Quantitative Analysis of Carbendazim in Fruit by Surface Enhanced Raman Spectroscopy

Yang

Lin

et al. 2022

Molecules

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The current detection method of carbendazim suffers from the disadvantages of complicated preprocessing and long cycle time. In order to solve the problem of rapid quantitative screening of finite contaminants, this article proposed a qualitative method based on characteristic peaks and a semi-quantitative method based on threshold to detect carbendazim in apple, and finally the method is evaluated by a validation system based on binary output. The results showed that the detection limit for carbendazim was 0.5 mg/kg, and the detection probability was 100% when the concentration was no less than 1 mg/kg. The semi-quantitative analysis method had a false positive rate of 0% and 5% at 0.5 mg/kg and 2.5 mg/kg, respectively. The results of method evaluation showed that when the added concentration was greater than 2.5 mg/kg, the qualitative detection method was consistent with the reference method. When the concentration was no less than 5 mg/kg, the semi-quantitative method is consistent between different labs. The semi-quantitative method proposed in this study can achieve the screening of finite contaminants in blind samples and simplify the test validation process through the detection probability model, which can meet the needs of rapid on-site detection and has a good application prospect.

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Determining performance parameters in qualitative multivariate methods using probability of detection (POD) curves. Case study: Two common milk adulterants

Cited by 15 publications

References 45 publications

Real-Time PCR Assay for the Detection and Quantification of Roe Deer to Detect Food Adulteration—Interlaboratory Validation Involving Laboratories in Austria, Germany, and Switzerland

Real-Time PCR Assay for the Detection and Quantification of Roe Deer to Detect Food Adulteration—Interlaboratory Validation Involving Laboratories in Austria, Germany, and Switzerland

Green-synthesized selenium nanoparticles using garlic extract and their application for rapid detection of salicylic acid in milk

An Improved POD Model for Fast Semi-Quantitative Analysis of Carbendazim in Fruit by Surface Enhanced Raman Spectroscopy

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