文摘
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, °Brix) and firmness (N) in intact plums. A total of 720 plums (Prunus salicina L. cv. x2018;African Pridex2019;, x2018;Black Diamondx2019;, x2018;Fortunex2019;, x2018;Laetitiax2019;, x2018;Larry Annex2019;, x2018;Late Royalx2019;, x2018;Prime Timex2019;, x2018;Sapphirex2019;, and x2018;Songoldx2019;) 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 (r2) were (0.77 °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.