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Nondestructive determination of total soluble solid content and firmness in plums using near-infrared reflectance spectroscopy

机译:使用近红外反射光谱法无损测定李子中的总可溶性固形物和硬度

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摘要

The fruit industry requires rapid, economical, and nondestructive methods for classifying fruit by internal quality, which can be built into the processing line. Total soluble solid content and firmness are the two indicators of plum internal quality that most affect consumer acceptance. These parameters are routinely evaluated using methods which involve destruction of the fruit; as a result, only control batches can be analyzed. The development of nondestructive analytical methods would enable the quality control of individual fruits. Near-IR spectroscopy (NIRS) was used to assess total soluble solid content (SSC, degrees Brix) and firmness (N) in intact plums. A total of 720 plums (Prunus salicina L. cv. 'African Pride', 'Black Diamond', 'Fortune', 'Laetitia', 'Larry Anne', 'Late Royal', 'Prime Time', 'Sapphire', and 'Songold') were used to obtain calibration models based on reference data and near-IR spectral data. Standard errors of cross-validation (SECV) and coefficients of determination for cross-validation (r(2)) were (0.77 degrees Brix; 0.83) for total soluble solids content and (2.54 N; 0.52) for firmness. Results suggest that NIRS technology enables fruit to be classified in terms of total soluble solid content and firmness, thus allowing increased sampling of each production batch and ensuring a given quality with greater precision and accuracy.
机译:水果行业需要快速,经济且无损的方法,以通过内部质量对水果进行分类,可以将其内置到生产线中。总可溶性固形物含量和硬度是李子内部质量的两个指标,它们最影响消费者的接受程度。这些参数通常使用破坏水果的方法进行评估。结果,只能分析对照批次。无损分析方法的发展将使单个水果的质量控制成为可能。近红外光谱法(NIRS)用于评估完整李子中的总可溶性固形物含量(SSC,白利糖度)和硬度(N)。总共720李子(李李,非洲黑骄傲,黑钻石,财富,Laetitia,拉里安妮,皇家晚期,盛世时光,蓝宝石和'Songold')用于基于参考数据和近红外光谱数据获得校准模型。交叉验证的标准误差(SECV)和确定交叉验证的系数(r(2))对于总可溶性固形物含量为(0.77度白利糖度; 0.83),对于牢固度而言为(2.54 N; 0.52)。结果表明,NIRS技术使水果可以按照总可溶性固形物含量和硬度进行分类,从而可以增加每个生产批次的采样量,并以更高的精度和准确性确保给定的质量。

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