Agraquant

Manufactured by Romer Labs

Sourced in Germany, United States

The AgraQuant is a laboratory instrument developed by Romer Labs. It is designed for the detection and quantification of various analytes in agricultural and food samples. The AgraQuant utilizes immunochemical techniques to provide accurate and reliable results.

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Lab products found in correlation

5890 gas chromatograph, by Hewlett-Packard (1 mentions) Multiskan fc, by Thermo Fisher Scientific (1 mentions) Ridascreen, by R-Biopharm (1 mentions) Cokaq8000, by Romer Labs (1 mentions) Proline, by Bayer (1 mentions)

Close spelling variants of this product

AgraQuant Gluten G12 Assay AgraQuant® Aflatoxin B1 ELISA Test Kit AgraQuant Gluten G12 AgraQuant® Aflatoxin B1 AgraQuant Ochratoxin A

6 protocols using agraquant

Aflatoxin and Ethanol Analysis in Corn Samples

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The quantitative analysis of the total AFs (B1, B2, G1, and G2) in corn samples and corn samples after bioethanol production (the stillage obtained after drying at 50°C for 24 h) was performed by a competitive enzyme linked immunosorbent assay (ELISA) according to the total AF test (AgraQuant^®, Romer Labs Ltd., Germany) procedure. The ground test sample amount used in the ELISA assay was 100 g. Mycotoxin extraction and testing was carried out according to the manufacturer’s instructions.
Acidity analysis of fermented broth in bioethanol production was performed according to our previous study (Juodeikiene et al., 2012 (link)). The concentration of ethanol was determined using direct distillation and pycnometry.
Volatile compound determination was completed by gas chromatography (GC). Corn samples with different contamination levels were used for bioethanol production (Table 1). The bioethanol production was performed by using the low-temperature process according to Juodeikiene et al. (2014a) (link). A Hewlett-Packard 5890 gas chromatograph equipped with an FID detector was used for the quantitative analysis of volatile compounds as described by Juodeikiene et al. (2014a) (link).

Juodeikiene G., Cernauskas D., Trakselyte-Rupsiene K., Bartkiene E., Zadeike D., Banyte G, & Santini A. (2020). Acoustic-Based Screening Method for the Detection of Total Aflatoxin in Corn and Biological Detoxification in Bioethanol Production. Frontiers in Microbiology, 11, 543.

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Quantification of Mycotoxins in Maize

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The mycotoxin content in the maize samples was determined by direct competitive enzyme-linked immunosorbent assays (ELISA). All samples picked from the same location were mixed according to the type of maize: Z. mays var. indurata (locro) or Z. mays var. amylacea (avatí-morotĩ). Mycotoxin content was analyzed as follows: total aflatoxins (AFs) [43 ], total fumonisins (FUMs) [44 ], total zearalenones (ZEAs) [45 ], and T-2 toxin (T-2) [46 ]. This was conducted using an ELISA kit AgraQuant^® from Romer Labs (Newark, DE, USA).
Each maize sample (20 g) was milled with a grain mill. An extraction of samples was made with a methanol:water (70:30 v/v) solution and the procedure was continued following the manufacturer’s recommendations. Optical densities (ODs) were determined using the microwell strip reader at 450 nm in a MultiSkan^TM FC (Thermo Scientific^®, Waltham, MA, USA) system. The samples’ ODs were compared with the ODs of the standards and the obtained concentrations were determined in ppb (μg.kg⁻¹).

Moura-Mendes J., Cazal-Martínez C.C., Rojas C., Ferreira F., Pérez-Estigarribia P., Dias N., Godoy P., Costa J., Santos C, & Arrua A. (2023). Species Identification and Mycotoxigenic Potential of Aspergillus Section Flavi Isolated from Maize Marketed in the Metropolitan Region of Asunción, Paraguay. Microorganisms, 11(8), 1879.

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Optimized Gluten Extraction Method

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For comparison experiments we used both R5-based (Ridascreen, R-Biopharm AG, Darmstadt, Germany) and G12 (AgraQuant, Romer Labs, Runcorn, UK) ELISA kits. Commercial extraction procedures were replaced with an in-house modified extraction method based on cocktail and ethanol combination, which is described below. The extracts were assayed simultaneously in parallel with three test kits: G12-, R5- and X6-based according to the procedure given in Table 2.
Food samples were milled in a food grinder (J500, Bork, Moscow, Russia). A total of 0.25 g of homogenized material was mixed with 2.5 mL of patented Mendez cocktail solution (EP 2003448 A1) (2-M GuHCl + 0.25-M 2ME in PBS, pH 7.3). The mixtures were incubated in a water bath (Biosan) at 50 °C for 40 min. After the incubation was completed 7.5 mL of 80% ethanol was added to the samples and prolamin fraction was solubilized for 1 h at room temperature. The samples were centrifuged at 4000× g (Eppendorf, Hamburg, Germany) for 10 min. For further analysis, the extracts obtained were used according to the procedure, described in Table 2.

Shatalova A., Shatalov I, & Lebedin Y. (2020). X6: A Novel Antibody for Potential Use in Gluten Quantification. Molecules, 25(14), 3107.

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Mycotoxin Detection in Food Samples

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ELISA-based methods with aflatoxin B₁, ochratoxin A and fumonisin B₁ as standards and commercially available detection kits (AgraQuant^®, Romer Labs, Inc., Newark, DE, USA) were used for aflatoxin B₁ (COKAQ 8000, limit of detection is 2 ng/g), ochratoxin A (COKAQ 2000, limit of detection is 1.9 ng/g), and fumonisins (COKAQ 3000, limit of detection is 0.2 µg/g) analyses according to the manufacturer’s instructions and as reported previously [23 (link)]. Briefly, for each sample, one extract was produced then duplicate determinations of the toxin were performed. Standard curves were plotted using standard aflatoxin B₁, ochratoxin A and fumonisin B₁. The concentration of aflatoxin B₁, ochratoxin A and fumonisins were calculated on a dry weight basis according to the specifications of the manufacturer. The sample moisture content was measured by drying 10.0 g in an oven at 105 °C for 17 h [41 (link)].

Huong B.T., Tuyen L.D., Madsen H., Brimer L., Friis H, & Dalsgaard A. (2019). Total Dietary Intake and Health Risks Associated with Exposure to Aflatoxin B1, Ochratoxin A and Fuminisins of Children in Lao Cai Province, Vietnam. Toxins, 11(11), 638.

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Determination of Dry Matter, Ca, P, and DON

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Dry matter in diets and feces was determined, and Ca (method 935.13) and P (method 946.06) concentrations were also determined in diets and feces as suggested by the AOAC [20 ]. The concentrations of DON in ingredients and diets were determined using enzyme-linked immunosorbent assay kits (AgraQuant, Romer Labs Inc., Singapore) which had quantification ranges for analysis of DON from 250 to 5000 ng/mL.

Kwon W.B., Shin S.Y., Song Y.S., Kong C, & Kim B.G. (2023). Effects of Mycotoxin-Sequestering Agents on Growth Performance and Nutrient Utilization of Growing Pigs Fed Deoxynivalenol-Contaminated Diets. Life, 13(10), 1953.

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Adepidyn Fungicide Reduces Wheat Fusarium

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The proposed pre-harvest strategy to control Fusarium head blight (FHB) and related deoxynivalenol (DON) contamination of wheat in the UK was the use of a newly developed fungicide Adepidyn™ (developed by Syngenta, Basel, Switzerland). Wheat is the most widely grown arable food and feed crop in the UK with an average annual production of 14.5 MT in the period 2006 to 2013 (Defra, 2018) . Adepidyn is a novel succinate dehydrogenase inhibitor (SDHI) fungicide having activity against Fusarium species, which other SDHIs do not have. A field experiment was conducted in four randomised blocks of winter wheat. The experimental plot was inoculated with Fusarium graminearum in the spring followed by mist irrigation during flowering. Plots were treated with various treatments including Adepidyn and the current industry standard fungicide, Proline (Bayer CropScience, Leverkusen, Germany) at half and full rates, or left untreated at early flowering. At harvest, yield was determined and the grain was milled and analysed for DON concentration using ELISA (Agraquant; Romer Labs, Getzersdorf, Austria). With the use of the Adepidyn fungicide to control FHB, a reduction of 80% in levels of DON compared to untreated wheat was achieved. Furthermore, a reduction of 54% in levels of DON, compared to the use of the standard fungicide Proline, in wheat kernels at harvest was expected to be achieved.

Focker M., Fels‐Klerx H.v.d., Magan N., Edwards S., Grahovac M., Bagi F., Budakov D., Suman M., Schatzmayr G., Krska R., & Nijs M.d. (2021). The impact of management practices to prevent and control mycotoxins in the European food supply chain: MyToolBox project results. World Mycotoxin Journal, 14(2), 139-154.

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