Startseite Prediction of soluble solids content and anthocyanin content in blood oranges based on hyperspectral reflectance and transmittance imaging technologies
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Prediction of soluble solids content and anthocyanin content in blood oranges based on hyperspectral reflectance and transmittance imaging technologies

  • Xuefeng Liu , Deyu Hu , Xi Tian , Pingwei Xiang , Junlian Qin , Xiaoli Ma EMAIL logo und Xiangcheng Yuan EMAIL logo
Veröffentlicht/Copyright: 28. Juli 2025
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International Journal of Food Engineering
Aus der Zeitschrift International Journal of Food Engineering Band 21 Heft 8

Abstract

Anthocyanins and soluble solids content (SSC) serve as key factors for evaluating blood orange quality. Currently, reliable non-destructive measurement methods are lacking in production. In this study, hyperspectral diffuse reflectance and transmittance imaging (400 nm–1,000 nm) technologies were utilized to predict SSC and anthocyanin content in blood oranges. Three methods including standard normal variate (SNV) correction, moving average smoothing (MAS), and first derivative (Deriv1) were employed for preprocessing spectra. Additionally, bootstrapping soft shrinkage (BOSS), successive projections algorithm (SPA), and competitive adaptive reweighted sampling (CARS) were used to select effective wavelengths. Finally, partial least squares regression (PLSR) models were developed for predicting anthocyanin content and SSC in blood oranges. The results showed that the hyperspectral transmittance imaging mode exhibited higher accuracy in predicting SSC and anthocyanin content in blood oranges when compared to the diffuse reflectance mode. Among the tested conditions, preprocessing the original spectra with SNV and establishing a PLSR model utilizing full-wavelength spectrum yielded the highest prediction accuracy for SSC, where Rpre was 0.927, RMSEP was 0.418 °Brix, and RPD was 2.621. On the other hand, preprocessing the original spectra with SNV and establishing a PLSR model with SPA-selected effective wavelengths exhibited optimal performance in predicting anthocyanin content, where Rpre was 0.872, RMSEP was 1.702 mg/100 mL, and RPD was 1.918. Additionally, the spatial distributions of SSC and anthocyanin content in blood oranges were visualized using the optimal models. The findings demonstrate that hyperspectral imaging combined with effective spectral preprocessing and wavelength extraction algorithms can achieve non-destructive quality prediction of blood oranges.

Keywords: hyperspectral imaging; blood oranges; soluble solids content; anthocyanin content
Corresponding authors: Xiaoli Ma and Xiangcheng Yuan, Chongqing Three Gorges Academy of Agricultural Sciences, Chongqing, 404155, China, E-mail: (X. Ma), (X. Yuan)

Funding source: National Major Water Conservancy Construction Fund Project of China

Award Identifier / Grant number: 5001012022FA00001

Funding source: Scientific Research Project of Chongqing Municipal Education Commission in China

Award Identifier / Grant number: KJQN202201220

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: Xuefeng Liu: Methodology, Investigation, Project administration, Software, Writing–original draft, review & editing. Deyu Hu: Investigation, Formal analysis, Resources. Xi Tian: Software, Methodology, Formal analysis. Pingwei Xiang: Investigation, Project administration. Junlian Qin: Investigation, Supervision, Resources. Xiaoli Ma: Investigation, Supervision, Writing–review & editing, Resources. Xiangcheng Yuan: Conceptualization, Resources, Writing–review & editing. The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: National Major Water Conservancy Construction Fund Project of China (5001012022FA00001) and Scientific Research Project of Chongqing Municipal Education Commission in China (KJQN202201220).

  7. Data availability: The raw data can be obtained on request from the corresponding author.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/ijfe-2025-0072).

Received: 2025-03-20
Accepted: 2025-07-11
Published Online: 2025-07-28

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Critical Review
  3. Exploring the antioxidant and anti-cancer potential of functional foods from vegetal waste: a path to sustainability
  4. Articles
  5. Effect of thermosonication and probiotic fermentation on bioactive compounds and microbial activity of Elaeocarpus floribundus (jalpai) juice
  6. Impact of high intensity ultrasound on the physicochemical, functional, thermal, and structural properties of banana cv. Poovan (Musa sp. AAB) starch
  7. Prediction of soluble solids content and anthocyanin content in blood oranges based on hyperspectral reflectance and transmittance imaging technologies
  8. Formulation and characterization of omega-3 fatty acid enriched mayonnaise containing flax seed oil and chia seed oil
  9. Corrigendum
  10. Corrigendum to “Development of functional almond milk beverage with probiotic Lactiplantibacillus plantarum and Lactiplantibacillus brevis bacteria”
https://doi.org/10.1515/ijfe-2025-0072
Schlagwörter für diesen Artikel
hyperspectral imaging; blood oranges; soluble solids content; anthocyanin content

Artikel in diesem Heft

  1. Frontmatter
  2. Critical Review
  3. Exploring the antioxidant and anti-cancer potential of functional foods from vegetal waste: a path to sustainability
  4. Articles
  5. Effect of thermosonication and probiotic fermentation on bioactive compounds and microbial activity of Elaeocarpus floribundus (jalpai) juice
  6. Impact of high intensity ultrasound on the physicochemical, functional, thermal, and structural properties of banana cv. Poovan (Musa sp. AAB) starch
  7. Prediction of soluble solids content and anthocyanin content in blood oranges based on hyperspectral reflectance and transmittance imaging technologies
  8. Formulation and characterization of omega-3 fatty acid enriched mayonnaise containing flax seed oil and chia seed oil
  9. Corrigendum
  10. Corrigendum to “Development of functional almond milk beverage with probiotic Lactiplantibacillus plantarum and Lactiplantibacillus brevis bacteria”
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