T/AFFI 050-2024 Active Group standards

T/AFFI 050-2024 Apple quality without damage rapid determination - 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 050-2024

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 applies to apples grown in Xinjiang. It specifies a near-infrared spectroscopy method for non-destructive and rapid determination of moisture content, hardness, and soluble solids in apple fruit. This standard is suitable for non-destructive and rapid determination of apple quality (moisture content, hardness, and soluble solids) in this region. 2. Normative References: The documents referenced in this document are essential for its application. For dated references, only the version on the specified date applies to this document. For undated references, the latest version (including all amendments) applies to this document. - GB/T 5009.3-2016: National Food Safety Standard - Determination of Moisture in Food - NY/T 2009-2011: Determination of Fruit Hardness - NY/T 2637-2014: Determination of Soluble Solids in Fruits and Vegetables by Refractometry - NY/T 1841-2010: Non-Destructive and Rapid Determination of Soluble Solids and Titratable Acid in Apples by Near-Infrared Spectroscopy 3. Terms and Definitions: 3.1 Calibration Model: A mathematical model established using 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 the relevant component contents in the region. 3.3 Calibration Set: A collection of representative samples used to establish a calibration model, which generally covers the range of the relevant 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 collection of samples used to validate the prediction performance of the calibration model internally. 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 typicall