T/AFFI 051-2024 Active Group standards

T/AFFI 051-2024 Pomegranate quality measurement without damage using near-infrared method

Publish Date: 2024-10-24 Implement Date: 2024-10-24 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/AFFI 051-2024

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: -

ICS Name: Non-destructive testing

Publish Date: 2024-10-24

Implement Date: 2024-10-24

Scope

Main Technical Content: 1. Scope This standard specifies a near-infrared spectroscopy method for non-destructive and rapid determination of pomegranate hardness and soluble solids content. It applies to the principles, instruments, measurement methods, data processing and presentation, identification and handling of abnormal samples, accuracy and precision, and test reports for non-destructive and rapid determination of pomegranate quality (hardness and soluble solids content). 2. Normative References The following documents are essential for the application of this standard. For referenced documents with specified dates, only the versions on the specified dates apply to this standard. For unspecified date referenced documents, the latest version (including all amendments) applies to this standard. - NY/T 2009-2011: Determination of Fruit Hardness - NY/T 2637-2014: Determination of Soluble Solids Content in Fruits and Vegetables by Refractometer Method 3. Terms and Definitions 3.1 Calibration Model A mathematical model established by chemometric methods to relate the near-infrared spectra of samples to their corresponding chemical standard values. 3.2 Sample Set A representative collection of samples that generally covers the range of relevant component contents. 3.3 Calibration Set A set of representative samples used to establish a calibration model, which generally covers the range of component contents in the calibration model. The number of calibration samples typically accounts for about 60% of the total sample set. 3.4 Validation Set A set of samples used to internally cross-validate the predictive performance of the calibration model. The component contents in the validation set should be within the range of the corresponding component contents in the calibration set, and the number of validation samples typically accounts for about 20% of the total sample set. 3.5 Prediction Set A set of samples used to externally verify