ArticleFood science & nutrition2020
Nondestructive monitoring storage quality of apples at different temperatures by near-infrared transmittance spectroscopy.
Article in Food science & nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Postharvest Fruit Grading Technologies and Equipment: A Review.Foods (Basel, Switzerland) · 2026Review
- Study on the effect of moisture content on the spectral detection of soluble solids in apricot.Scientific reports · 2026Article
- Rapid fat quantification inFrontiers in nutrition · 2026Article
- A lightweight hybrid transformer approach for hyperspectral imaging-based drought tolerance evaluation in tea plants.Plant methods · 2025Article
- Design of a Portable Nondestructive Instrument for Apple Watercore Grade Classification Based on 1DQCNN and Vis/NIR Spectroscopy.Micromachines · 2025Article
- Postharvest Stability of Peeled Garlic Cloves (Food science & nutrition · 2025Article
- Advances in Nondestructive Technologies for External Eggshell Quality Evaluation.Sensors (Basel, Switzerland) · 2025Review
- A Handheld IoT Vis/NIR Spectroscopic System to Assess the Soluble Solids Content of Wine Grapes.Sensors (Basel, Switzerland) · 2025Article
- Analysis of Internal Quality Changes in Apples During Storage Using Near-Infrared Spectroscopy.Foods (Basel, Switzerland) · 2025Article
- Analyzing the Quality Parameters of Apples by Spectroscopy from Vis/NIR to NIR Region: A Comprehensive Review.Foods (Basel, Switzerland) · 2023Review
- Prediction of winter wheat leaf chlorophyll content based on VIS/NIR spectroscopy using ANN and PLSR.Food science & nutrition · 2023Article
- Portable NIR spectroscopy: the route to green analytical chemistry.Frontiers in chemistry · 2023Review
- Low temperature response index for monitoring freezing injury of tea plant.Frontiers in plant science · 2023Article
- Nondestructive monitoring storage quality of apples at different temperatures by near-infrared transmittance spectroscopy.Food science & nutrition · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Apple is the most widely planted fruit in the world and is popular in consumers because of its rich nutritional value. In this study, the portable near-infrared (NIR) transmittance spectroscopy coupled with temperature compensation and chemometric algorithms was applied to detect the storage quality of apples. The postharvest quality of apples including soluble solids content (SSC), vitamin C (VC), titratable acid (TA), and firmness was evaluated, and the portable spectrometer was used to obtain near-infrared transmittance spectra of apples in the wavelength range of 590-1,200 nm. Mixed temperature compensation method (MTC) was used to reduce the influence of temperature on the models and to improve the adaptability of the models. Then, variable selection methods, such as uninformative variable elimination (UVE), competitive adaptive reweighted sampling (CARS), and successive projections algorithm (SPA), were developed to improve the performance of the models by determining characteristic variables and reducing redundancy. Comparing the full spectral models with the models established on variables selected by different variable selection methods, the CARS combined with partial least squares (PLS) showed the best performance with prediction correlation coefficient (
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