T/AFFI 052-2024 Active Group standards

T/AFFI 052-2024 The quick method for assessing the quality of fragrant pears using near-infrared technology

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 052-2024

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 the near-infrared spectroscopy method for determining the moisture content, hardness, soluble solids, and total acidity in Xiangli pears. This standard applies to the principles, instruments, measurement methods, data processing and presentation, identification and handling of abnormal samples, accuracy and precision, and test reports for the non-destructive and rapid determination of the quality (moisture content, hardness, soluble solids, and total acidity) of Xiangli pears. 2. Normative References The following documents are essential for the application of this standard. For referenced documents with a specified date, only the version on that date applies to this standard. For referenced documents without a specified date, the latest version (including all amendments) applies to this standard. - 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 - GB/T 12456-2008: Determination of Total Acidity in Food 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. 3.3 Calibration Set A set 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 set of samples used to validate the predictive performance of the calibration model internally. The component contents in the validation set should be within the range of the component content