Near-Infrared Spectroscopy Coupled with Chemometrics for Rapid Determination of pH, Moisture and Lycopene Content in Lycopene Liquid Beverages.

Xijie Zhao, Bingqian Hou, Ziyi Huang, Ni Qiu, Fengling Li, Jingjing Xia

Abstract read

In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xijie ZhaoSchool of Pharmaceutical Sciences, Institute of Materia Medica, College of Life Science and Technology, Xinjiang University, Urumqi 830017, China.ORCID 0009-0009-3946-6899

Bingqian HouSchool of Pharmaceutical Sciences, Institute of Materia Medica, College of Life Science and Technology, Xinjiang University, Urumqi 830017, China.

Ziyi HuangSchool of Pharmaceutical Sciences, Institute of Materia Medica, College of Life Science and Technology, Xinjiang University, Urumqi 830017, China.

Ni QiuSchool of Pharmaceutical Sciences, Institute of Materia Medica, College of Life Science and Technology, Xinjiang University, Urumqi 830017, China.

Fengling LiSchool of Pharmaceutical Sciences, Institute of Materia Medica, College of Life Science and Technology, Xinjiang University, Urumqi 830017, China.

Jingjing XiaSchool of Pharmaceutical Sciences, Institute of Materia Medica, College of Life Science and Technology, Xinjiang University, Urumqi 830017, China.

Funding

Xinjiang Autonomous Region Key Research and Development Program Project 2023B02030-1

6 · The paper itself

Abstract

Lycopene liquid beverages are functional products with strong antioxidant activity, but their quality control is hindered by the lack of rapid and simultaneous detection methods for multiple indicators. This study investigated a near-infrared spectroscopy (NIRS)-based approach for the simultaneous quantification of pH, moisture, and lycopene content in lycopene liquid beverages. A combined preprocessing strategy integrating Savitzky-Golay smoothing and standard normal variate (SG-SNV) was optimized via grid search to reduce spectral noise and scattering effects. Model interpretability was further enhanced by SHapley Additive exPlanations (SHAP) analysis. Furthermore, four variable selection algorithms (MWPLS, UVE-SPA, ICO, and CARS) were compared to improve model performance and interpretability. The results showed that SG-SNV preprocessing notably improved the prediction performance for pH (R

Indexed as

chemometricslycopene liquid beveragenear-infrared spectroscopySHAP analysisvariable selection

Identifiers

PMID42587936

DOI10.3390/foods15152676

PMCPMC13465049

What Socratic holds

Textmetadata

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.