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62 protocols using «pr 32»

1

Quantifying Berry Composition in Grape Cultivars

2025
A sample of 300 berries was collected from each replicate of NAA, 1-MCP, and CTRL vines. Berries were collected from both canopy sides and detached from the rachis in small groups of 3 to 5 each from the upper, middle, and bottom parts of each cluster (roughly 60 clusters distributed in the 8 vines of each replicate in NAA and CTRL; roughly 30 clusters distributed in the 3 vines of each replicate in 1-MCP). Berries were stored in a portable refrigerator and transported to the laboratory for analysis. A subgroup of 50 berries per each replicate was used for the mean berry weight determination by measuring one by one a singular berry through a precision scale (0.001 g; Kern PLS—Kern & Sohn, Balingen, Germany). A subgroup of 100 berries per each replicate was crushed to determine the must total soluble solid concentrations (TSS, °Brix) using a digital refractometer (ATAGO, PR-32—ATAGO, Italy), and the titratable acidity (TA, g L−1 as tartaric acid equivalents) was assessed using the method reported in OIV (Compendium of International Methods of Wine and Must Analysis. Red, 2, 0-0097).
The TSS content per berry was calculated according to the following equation: TSS content=TSS×berry weight100×1000[mg berry1]
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2

Comprehensive Grape Must Analysis

2024
Soluble solids were determined on the must by refractometry at 20 °C with a digital refractometer (ATAGO PR-32) and expressed in Brix degrees, while titratable acidity (g/L) and pH were measured on 20 mL of must at 20 °C with a microtitrator (Crison micro TT 2022—Crison strumenti SPA, Carpi, Modena, Italy), equipped with a pH electrode (Hamilton FlushTrode P/N 238060/08), using a 1 N NaOH titrant solution (SodiumHydroxide ACS reagent Honeywell Fluka 30620).
Malic and tartaric acid content (g/L) was determined using the RP-HPLC method (Agilent 1220 Infinity LC; Agilent Technologies, Santa Clara, CA, USA) on must samples diluted 50 times and filtered following the protocol proposed by Kordi et al. [45 ].
The glycosylated aromas (terpenes, norisoprenoids, and benzenoids) were determined according to the method reported by Vrhovsek et al. [46 (link)]. In brief, solid phase extraction (SPE) was performed using ENV+ cartridges 1 g (Biotage, Uppsala, Sweden), the free aromatic compounds were eluted with 30 mL of dichloromethane and the bound aromatic compounds with 30 mL of methanol; the latter was then treated with a AR2000 pectolytic enzyme. GC analysis was performed using a Trace GC Ultra gas chromatograph coupled with a TSQ Quantum Tandem mass spectrometer (Creative Proteomics SUITE 115, Shirley, NY, USA). GC separation was performed on a 30 m VF-WAXms capillary column with an internal diameter of 0.25 mm and a film thickness of 0.25 m (Varian, Inc., Palo Alto, CA, USA).
Flavonols and hydroxycinnamoyl tartaric acids (HCTA) were determined by HPLC analysis on samples of 20 still-frozen berries, according to Di Stefano and Cravero [47 ]. Analyses were performed on the supernatant obtained from the pulp and skin samples. Chromatographic separation of HCTA and flavonols from the skins was performed using a ThermoHypersil-Keystone ODS Hypersil RP C-18 column (Thermo Scientific, Waltham, MA, USA) [48 ].
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3

Analytical Methods for Fruit Quality

2024
The TSS content (%) was analyzed as Brix with a digital refractometer (PR-32, Atago, Tokyo, Japan) calibrated with distilled water [27 (link)].
TA (%) was assessed by titrating samples with 0.1 N NaOH. The results were reported as g citric acid equivalents per 100 g of fresh weight [4 (link)], wherein the acid factor of citric acid is 0.064.
Determined by the Coomassie brilliant blue G-250 method, the total soluble protein content was expressed in mg kg−1 on a fresh weight basis [28 (link)].
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4

Brix Determination by Digital Refractometer

2024
TSS was determined by a digital hand refractometer (PR32, Atago Palete ATago CO.LTD. Japan) in the previous extracted juice and expressed as Brix12 (link).
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5

Composition Analysis of Brazil Nuts, Opuntia Fruits, and Beverages

2024
The composition (ash, moisture, and dry matter) of the Brazil nuts, the Opuntia stricta var. dillenii fruits, and the Brazil nut beverage was analyzed using the standardized AOAC method [17 ]. For the determination of proteins, the chemical analysis method of nitrogen was used with 6.25 as a conversion factor. For the determination of lipids, the Folch method was used. Regarding the physicochemical properties, the pH was directly measured for the beverage with a digital potentiometer (Metrohm 827 pH Meter, Metrohm, Herisau, Switzerland). The titratable acidity (g of citric acid/100 mL of beverage) was analyzed via the neutralization of the beverage, measuring the volume of 0.1 N sodium hydroxide expenditure until reaching a pH of 8.1. Soluble solids (°Brix) were determined directly from the beverage using a digital refractometer (PR-32, ATAGO™, Tokyo, Japan). All information about the physicochemical characteristics of Brazil nuts, Opuntia stricta var. dillenii fruits, and the Brazil nut beverage are shown in Table S1 (Supplementary Materials). The pH, soluble solids (°Brix), and acidity were also measured for the Brazil nut beverages with added pulp extracts of Opuntia stricta var. dillenii (ODP).
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Top 5 protocols citing «pr 32»

1

Breeding and Fruit Quality Assessment of Novel Apple Cultivars

A set of four white-fleshed female parents (NZSelectionT153, NZSelectionT179, ‘Sciros’ and ‘Fuji’) and two red-fleshed pollen parents (NZSelectionT31 and NZSelectionT51) were crossed in a factorial (4×2) mating design, except that the cross between NZSelectionT179 and NZSelectionT31 was unsuccessful leaving seven full-sib families. The pollen parents NZSelectionT31 and NZSelectionT51 represent Type 1 and Type 2 red flesh phenotype, respectively [33] . Seedlings numbers varied between families, ranging from 40 to 350, with a total population size of 1200. Seedlings were planted in a nursery in November 2005. Two-year-old seedlings were propagated onto ‘M. 9’ rootstock in 2007 and then in the following year planted into the orchard (Havelock North, New Zealand) at 3.0×0.5 m spacing for fruit evaluation. All trees received standard commercial management for nutrition, pesticide, fruit hand-thinning, and irrigation. No specific permission from the New Zealand regulatory authorities was required for this study. The location of this study is not protected in any way, and the study did not involve endangered or protected species.
Harvesting and fruit assessment began in the second season (February–May 2010) after orchard planting, and was repeated for a second consecutive year. Fruiting trees were harvested twice at 7- to 10-days intervals beginning when fruit were judged mature, based on a change in skin background colour from green to yellow, and when the starch pattern index was between 3 and 4. Samples of six fruit per harvest were stored for 70 days at 0.5°C, then a further 7 days at 20°C and evaluated. Six traits were evaluated on the fruit samples using instrumental, sensory, or visual assessment methods. Fruit flesh firmness (FF) was determined on opposite sides of each fruit after peel removal using a Fruit Texture Analyzer (GÜSS) fitted with an 11-mm diameter probe tip. Soluble solids concentration (SSC) for each fruit was measured with the juice from the probe using a digital refractometer (Atago PR-32). Average russet coverage (russet) and flesh astringency (AST) were scored for each sample on a scale from 0 ( = none) to 9 ( = highest) by two trained assessors. Fruit from each seedling were then cut in half across the equator and the proportion of the cortex area that was red (PRA) and the intensity of the red (RI) ( = 0 (none) to 9 (highest)) were scored. A weighted cortical intensity (WCI) was then calculated (PRA×RI) as an estimation of the amount of red pigment in the fruit. A cortical wedge (10 g) was then removed immediately from each half of each apple, combined for each seedling, juiced in a blender (Magimex Le Duo), and frozen. Titratable acidity (TA) was measured on the thawed juice using an automatic acid titrator (Metrohm 716 DMS) and the percentage of malic acid in fruit juice was recorded.
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2

Berry Primary Metabolite Analysis

From each experimental unit 75 berries were randomly sampled, and were separated into two subsets with 55 berries and 20 berries individually. The set with 55 berries was used for berry primary metabolite analysis, including TSS, juice pH, titratable acidity (TA), and berry weight assessments. The set with 20 berries was for assessing dry berry skin weight and skin flavonoid contents.
Berry TSS was measured by a digital refractometer (Atago PR-32, Bellevue, WA, United States) and expressed as °Brix. Juice pH and TA were measured with an automated titrator (862 Compact TitroSampler, Metrohm, Switzerland) and expressed as g of tartaric acid per L of juice.
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3

Seasonal Berry Chemistry Analysis

Berry samples were taken biweekly throughout each season. In 2016, berry wet chemistry was assessed on 15 July, 28 July, 11 August, 23 August, 1 September, 15 September, and 5 October. In 2017, berry wet chemistry was assessed on 13 July, 27 July, 8 August, 24 August, 7 September, and 20 September. Total soluble solids (TSS, measured as°Brix), pH, and titratable acidity (TA) were analyzed on the must. Berry TSS were measured by a digital refractometer (Atago PR-32, Bellevue, WA, United States). Must pH and TA (expressed as g of tartaric acid per L of must after titration to pH 8.3) were measured with an automated titrator (862 Compact TitroSampler, Metrohm, Switzerland).
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4

Evaluation of Tomato Quality Attributes

At harvest, 20 marketable ripe fruits were selected at random from each plot and washed with distilled water. The tomatoes were then evaluated on the basis of a number of physical and nutritional attributes considered to be indicators of quality in processing tomatoes: fruit and juice color, fi rmness, juice content, dry matter, soluble solids, titratable acidity, pH, consistency and lycopene content.
The external color and fi rmness of the fruits were measured at two opposite equatorial surface locations on each fruit. Tomato color was measured in the Hunter Lab color space using a Minolta Chroma Meter CR400/410 (Minolta Corp., Osaka, Japan) with the CIE illuminant C. The L value indicates the ratio of white to black color; the a value the ratio of red to green color; and the b value the ratio of yellow to blue color. The a/b ratio (red to green component of color) is commonly used as a redness index to report the color quality (brightness of red color) of tomatoes and tomato products (Akdeniz et al., 2012) . This variable is also correlated with lycopene accumulation in tomatoes (Giovanelli et al., 1999) .
Fruit fi rmness was measured in the pericarp tissue by an FT-327 penetrometer (Bertuzzi, Facchini, Italy) with a probe 8 mm in diameter, and was expressed as kg cm -2 . Then all fruits were divided into three equal parts: one part was used to determine the dry matter content in an oven set at 70 ºC until constant weight was achieved (units expressed as grams per 100 g fresh weight), the second part to determine the juice content by using a conventional juicer extractor, removing the seeds and skins and measuring the juice color as previously indicated for whole fruits (units expressed as grams per 100 g fresh weight); and the third part was homogenized and used for the remaining determinations.
Soluble solids were measured using a digital refractometer ATAGO PR-32 (Atago Co. LTD, Tokyo, Japan) with automatic temperature compensation, which provides values as °Brix. pH was determined using a pH meter, and titratable acidity was quantifi ed by titrating 5 g of tomato paste with 0.1 mol L -1 NaOH to pH 8.1 with an automatic sample titrimeter (TitroMatic 1S-2B, Crison, Barcelona, Spain). Acidity was expressed as grams of citric acid equivalent per 100 g fresh weight.
The consistency of the homogenate was determined by measuring the distance that the homogenate fl owed in 30 s under its own weight along a level surface (Barret et al., 1998) with a standard Bostwick consistometer (CSC Scientifi c, 1-800-458-2558, USA). Smaller Bostwick values indicate a thicker, higher-consistency tomato product; therefore, smaller values are preferable in tomato processing (García and Barret, 2006) .
Lycopene determination was based on a spectrophotometric analysis using a Lambda-Bio40 spectrophotometer (Perkin-Elmer, Waltham, MA, USA). Lycopene extractions were performed with 2 g of homogenate, which were shaken for 15 min in 50 mL of hexane, 25 mL of acetone and 25 mL of ethanol and then shaken for a further fi ve minutes after the addition of 5 mL of distilled water. Then, 5 mL of the upper layer was recovered and increased to 10 mL with hexane. The samples were shaken again, and measurements were immediately taken by the spectrophotometer. A calibration line relating standard concentrations and absorbance at 510 nm was used to obtain lycopene concentrations (Roselló et al., 2011) . Lycopene content was expressed as milligrams per 100 g fresh weight. With the exceptions of dry fruit matter and juice content, all assessments were carried out in duplicate.
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5

Cornelian Cherry Fruit Characterization

The method of Selcuk and Erkan [17] (link) was followed to measure pH, titratable acidity (TA), and total soluble solid (TSS) content in cornelian cherry fruit extracts.
The titratable acidity (TA) was determined by titration of juice with 0.1 M NaOH (Sigma-Aldrich, Merck, Madrid, Spain) using phenolphthalein (Sigma-Aldrich, Merck) as an indicator until reaching the extract pH of 8.2. The results were calculated as the mean value of three experiments and expressed as the percentage of citric acid.
The total soluble solid (TSS) content of fruits was measured using a portable refractometer (ATAGO PR = 32, ATAGO Co., Ltd., Tokyo, Japan).
pH was quantified by a pH meter (AZ8601, Taichung, Taiwan) at room temperature (23 • C).
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