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Quality pattern evaluation of frozen soursop pulps: an assessment based on chemical composition and chemometric analysis

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DataCite Commons2020-08-26 更新2024-07-27 收录
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https://scielo.figshare.com/articles/Quality_pattern_evaluation_of_frozen_soursop_pulps_an_assessment_based_on_chemical_composition_and_chemometric_analysis/11390829
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Abstract In the present study, the physicochemical properties and mineral composition of commercially-frozen soursop pulps from the southern region of the state of Bahia, Brazil, were evaluated. The physicochemical parameters such as soluble solids (°Brix), acidity and pH were determined according to reference methodologies. For mineral composition evaluation, samples were digested in a closed microwave system and the elements K, P, S, Ca, Mg, Fe, Cu, Zn, and Mn were quantified through inductively coupled plasma optical emission spectrometry (ICP OES). Soluble solids content ranged from 4.77 to 15.37 °Brix among the different brands of analyzed frozen pulps. Titratable acidity (equivalent to citric acid) and pH ranged from 0.49 to 1.00 and 3.61 to 4.57, respectively. Some samples presented irregularities in regard to quality pattern established in the Brazilian legislation. The following range of concentration, in μg g-1, were found for essential elements: K (544-1761), P (44.3-139), S (71.8-174), Ca (24.3-77.0), Mg (47.2-132), Fe (1.40-4.05), Mn (0.32-1.22), Cu (0.30-0.88) and Zn (0.36-0.84). The use of principal component analysis (PCA) enabled a more in-depth data analysis, performing correlations between different variables and frozen pulp brands.

摘要:本研究对巴西巴伊亚州南部市售冷冻刺果番荔枝果肉的理化特性与矿物成分进行了评估。研究依据标准方法测定了可溶性固形物(°Brix)、酸度及pH值等理化参数;矿物成分分析方面,采用密闭微波消解系统处理样品,通过电感耦合等离子体光发射光谱法(inductively coupled plasma optical emission spectrometry,ICP OES)对钾(K)、磷(P)、硫(S)、钙(Ca)、镁(Mg)、铁(Fe)、铜(Cu)、锌(Zn)及锰(Mn)进行定量检测。结果显示,不同品牌待测冷冻果肉的可溶性固形物含量介于4.77~15.37 °Brix之间;可滴定酸度(以柠檬酸计)与pH值范围分别为0.49~1.00和3.61~4.57。部分样品不符合巴西法律法规规定的质量标准。各必需元素的浓度范围(单位:μg·g⁻¹)如下:钾(544~1761)、磷(44.3~139)、硫(71.8~174)、钙(24.3~77.0)、镁(47.2~132)、铁(1.40~4.05)、锰(0.32~1.22)、铜(0.30~0.88)及锌(0.36~0.84)。本研究采用主成分分析(Principal Component Analysis,PCA)对数据进行深度分析,探究不同变量与冷冻果肉品牌间的相关性。
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SciELO journals
创建时间:
2019-12-18
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