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Tecator digestor auto

Manufactured by Foss
Sourced in Sweden, United States, Denmark

The Tecator Digestor Auto is a laboratory instrument designed for the digestion of a wide range of sample types, including food, feed, and environmental samples. It automates the sample preparation process, providing a standardized and consistent method for digestion prior to further analysis.

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3 protocols using tecator digestor auto

1

Protein Content Determination by Kjeldahl Method

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The CP content were determined by wet chemistry analysis according to the Kjeldahl method (AOAC Official Method 984.13.15) (AOAC, 1990 ) with the Kjeltec™ 8400 analyzer unit (FOSS, Hoganas, Sweden). The ground samples (0.5 g) were added into a 250 ml TKN digestion tube with 10 ml concentrated sulfuric acid and two digestive tablets (Beijing Jinyuanxingke Technology, Beijing, China). Blanks containing all these reagents were simultaneously processed. All tubes were digested in the preheated digestion block (Tecator™ digestor auto; FOSS, Hoganas, Sweden) at 420 °C for 90 min or until the samples were green and clear. The Kjeldahl digests procedure was carried out using a Kjeltec™ 8400 analyzer unit (FOSS, Hoganas, Sweden). The CP content was calculated using the following equation: CP%DM=V1V2×C×1.4007×6.25M×100 Where: V1 = volume (ml) of standard HCl required for sample; V2 = volume (ml) of standard HCl required for blank; C = molarity of standard HCl; 1.4007 = milliequivalent weight of N × 100; 6.25 = average coefficient of nitrogen conversion into proteins; M = sample weight in grams.
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2

Elemental composition analysis of Arabidopsis halleri

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From each site, five A. halleri plants were collected for elemental composition analysis. First, the above-ground parts of the plants were cut off. Then, the soil was excavated to a depth of 15 cm to expose the plant roots. To avoid clonal replication of sampled A. halleri plants, the distance between the samples was at least 3 m. Shoots and roots were washed in deionized water. Root samples were additionally cleaned in an ultrasonic bath using Milli-Q water (2 min, 30 mHz). All samples were dried at 80 °C and stored at room temperature. For elemental composition analysis, 0.5 g of plant material was digested in 6 ml of HNO3 (69–70%): HClO4 (70–72%) mixture (4:1 v/v), left for 24 h at room temperature, and boiled on a hot plate at 280 °C (FOSS Tecator Digestor Auto) for 1.5–2 h. Total Zn, Cd and Pb concentration was determined using flame or graphic furnace atomic absorption spectrometry (AAS; Varian AA280FS, AA280Z, Agilent Technologies, Santa Clara, USA). The results were ascertained using certified Standard Reference Material 1570a – Spinach Leaves (National Institute of Standards & Technology).
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3

Comprehensive Milk Composition Analysis

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Duplicate bulk tank milk samples and duplicate milk line samples were analyzed daily for fat, protein and lactose composition and SCC using a Milkoscan 203 (Foss Electric, Hillerød, Denmark) .
Duplicate bulk storage tank milk samples were submitted for wet chemistry analysis of nitrogen fractions after storage for 0, 48 and 96 h. The percentage total protein, NPN, and noncasein nitrogen content of the milk samples were determined using the Kjeldahl method [methods 20-3 (IDF, 2004b ), 20-4 (IDF, 2001 ), and 29-1 (IDF, 2004a) , respectively] using a Tecator Digestor Auto and Kjeltec 8400 distiller (Foss Electric).
The protein composition of duplicate bulk storage tank milk samples was quantified daily (0, 24, 48, 72, and 96 h) by HPLC using the method described by Mounsey and O'Kennedy (2009) . Briefly, 200 μL of milk was diluted in 3,800 μL of dissociating buffer (7 M urea and 20 mM Bis-Tris propane, pH 7.5), to which 5 μL of 2-mercaptoethanol was added, before filtering through a 0.22-μm filter. Separation of the milk protein fractions was achieved in reverse-phase mode, using an Agilent Poroshell 300SB C18 column (2.1 × 75 mm; Agilent Technologies, Santa Clara, CA). The HPLC equipment consisted of an Agilent 1200s with quaternary pump and multi-wavelength detector. Gradient elution and peak detection were performed according to the method of Mounsey and O'Kennedy (2009) .
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