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Texture analyzer

Manufactured by Ametek
Sourced in United States, United Kingdom

The Texture Analyzer is a lab equipment designed to measure the physical properties of various materials. It provides quantitative data on the textural characteristics of samples, such as hardness, adhesiveness, and cohesiveness. The device applies controlled force or displacement to a sample and records the resulting response, allowing for the assessment of a product's texture profile.

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34 protocols using texture analyzer

1

Physicochemical Properties of Frozen Radish

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The physicochemical properties, including hardness, pH, thiobarbituric acid reactive species (TBARS) levels, and volatile basic nitrogen (VBN) values, were measured using the methods described in a previous study [10 (link)]. The pH, TBARS, and VBN values were measured in the final product after quick freezing and storage at −18 °C. These parameters were measured on days 0, 15, 30, 45, 60, 75, and 90 and were preceded by heating the products in the microwave, as mentioned in the sensory analysis. Radish hardness was evaluated to determine the optimal heating conditions. Hardness values were measured using a texture analyzer (Brookfield, Middleboro, MA, USA).
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2

Measuring Cookie Physical Properties

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The length and width of each cookie were measured, and the average value was calculated using the measurements of the four cookies. Cookie height was measured using a caliper, arranging four cookies side by side vertically, and the average value was calculated from four measurements taken in different orders.
The top surface color of the cookies was measured by L* (lightness), a* (redness), and b* (yellowness) values using a chromometer (CR-20, Minolta, Co., Ltd., Tokyo, Japan), and the average value was obtained from four measurements.
Cookie firmness was determined using a Texture Analyzer (CT3, Brookfield, Middleboro, MA, USA). was measured using a Texture Analyzer. The measurement conditions were as follows: Mode, measure force in compression; pre-test speed, 1.0 mm/s; test speed, 0.5 mm/s; probe, 2 mm cylinder probe; penetration distance, 10 mm. The measurement was repeated three times, and the average cookie firmness was calculated from these three measurements.
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3

Sausage Texture Evaluation Protocol

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The texture of sausage samples was evaluated by Brookfield Texture Analyzer equipped with a TA25/ 1,000 cylindrical probe with 50 mm diameter, and Load Cell 100 N, according to the method of Dertli et al. (2016). Sausage pieces of 1 × 1 × 2.5 cm (height × width × length) were compressed at a cross‐head speed of 2 mm/s. The capacity of load cell was 5 kg, and its time interval was set at 30 s between the two compression cycles. Hardness (kg), cohesiveness, springiness (mm), gumminess (kg), and chewiness were obtained. The final results are the average of at least three reproducible runs for each treatment.
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4

Texture Analysis of Cooked Meat Batters

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The texture properties of cooked meat batters were measured using the method of Wu, He, Hong, and Wang (2016) using a texture analyzer (Brookfield, USA). The cooked meat batters cylinders of each sample were cut into about 25 mm height. The equipment parameters were set as follows: axially compressed 50 %, test speed 1.0 mm/s, post-test speed 1.0 mm/s, trigger type 5 g.
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5

Physico-chemical Characterization of Unripe Cashew Apples

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The pH of U-CC was evaluated with a pH meter (Inolab 3, Hanna Instruments, Venet, Italy) by inserting the pH meter electrode directly into the U-CC sample. The color coordinates were analyzed with a Chromameter CR-400 (Konica Minolta, Tokyo, Japan). For color coordinate evaluation, the U-CC was cut into slices, and the color indicators were immediately measured on the surface of the U-CC. For TTA analysis, a U-CC slurry was prepared by blending 20 g of grated U-CC with 12 mL of water. Then, a 20 g sample was mixed with 250 mL of distilled water and filtered through a Whatman #1 filter paper. Furthermore, 25 mL of the filtered sample was titrated with 0.1 mol/L NaOH, and phenolphthalein was used as an indicator. The TTA was expressed in Terner degrees (°T). The texture hardness was evaluated by using a texture analyzer (Brookfield, Ametek, Middleboro, Massachusetts, USA). For texture hardness evaluation, the U-CC was cut into 2 cm-thick slices. The moisture content was determined according to the ICC standard method 110/1 (1976) by drying the sample at 103 ± 2 °C until reaching constant weight [27 ].
The methods for determination of TPC content and DPPH radical scavenging activity are described above in Section 2.3.3.
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6

Texture Analysis of JSM Fish Fillets

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The Brookfield Texture Analyzer (Massachusetts, USA) was used for the determination of JSM fillet texture. This instrument is operated by computer software (Texture PRO CT, Middleboro, USA). The aluminum cylinder probe with a diameter of 10 mm at 0.5 mm/s cross‐head speed was used to compress 50% of sample height, and it was continued up to 60 s and then extruded. During this period, a number of attributes were measured following the study of Ganesan and Benjakul (2014).
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7

Texture Analysis of Food Samples

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Texture (hardness) was determined using a Texture Analyzer (Brookfield, CT3 Texture Analyzer, United States) equipped with a load cell of 25 kg and a TA2/1000 stainless steel probe. All measures were kept at room temperature (20 °C) for 1 h before measuring. The following parameters were used: pre-test speed was set at 0.5 mm/s, test speed at 2.0 mm/s, product vol at 0.7 mm × 55 mm x 50mm, penetration depth 3mm, time set at 1–2 min, test speed at 50 mm/s, load cell at 25 kg, and trigger force at 20 g. The hardness (grams) was reported. All measurements were conducted at room temperature (18 ± 2 °C).
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8

Taste and Texture Analysis of Cooked Rice

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The taste value of the cooked rice was assessed according to methods that were modified based on those of Champagne et al. (1996) [21 ]. Briefly, 30 g of milled rice was cooked according to GB/T 15682–2008 guidelines; then, 8 g of the cooked rice was pressed into rice cakes, and the taste value was measured using a rice taste analyzer (STA1B, Satake, Japan). The texture of the rice cakes (hardness, gumminess, and springiness, defined for instrumental texture analyses as per the study published by Champagne et al. (1999) [22 (link)]), was determined using the Texture Analyzer (Brookfield Engineering Laboratories, MA, US) following the methods described by Zhang et al. (2019) [23 (link)]. The sample was compressed using a 35 mm global probe attachment at a speed of 2 mm/s. The texture profile analysis settings were as follows: pre-test speed, 2.00 mm/s; post-test speed, 2.00 mm/s; time, 10 s; trigger force, 0.05 N. The measurement was conducted in 10 replicates.
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9

Texture Analysis of Material Samples

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Analysis of hardness, viscosity, cohesion, and adhesion of the samples was performed with a texture analyzer (Brook-Field, Middleboro, MA, USA), using a cylindrical TA10 probe at 10 mm test distance, at 2.0 mm/s pre-test speed, 0.50 mm/s test speed, 0.50 mm/s return speed, and 20.0 points/s data frequency over three loop tests.
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10

Texture Profiling of Mung Bean Protein Isolates

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Example 20

Instrumental texture profile parameters were recorded using a Brookfield Texture Analyzer equipped with a 38 mm probe. Samples were submitted to two uniaxial compression cycles at a test speed of 1 mm/s, initially triggered by a 5 g load. Target compression distance was set to 7 mm, corresponding to 70% deformation. Hardness, cohesiveness, springiness, chewiness and resilience were determined and compared to food applications of interest. FIG. 24 compares the texture features of mung bean isolates formulated under different processes with that of various egg controls using a Principal Component Analysis 2-dimensional visualization. The texture of several purified protein isolates formulated using different Processes 1-4 (i.e. JP1-69, JP1-70, JP1-71) were shown to be comparable to that of an egg control in terms of hardness, cohesiveness, springiness, chewiness and resilience. Formulations were varied in the components used in protein modifying enzymes, hydrocolloid and salt levels. Purification parameters varied in pH, salt, acid, temperature and time.

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