ArticleSensors (Basel, Switzerland)2021
Near-Infrared Spectroscopy and Aquaphotomics for Monitoring Mung Bean (
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- Effect of optimized germination on nutritional functional and phytochemical characteristics of green gram.Scientific reports · 2026Article
- An Aquaphotomics Approach for Investigation of Water-Stress-Induced Changes in Maize Plants.Sensors (Basel, Switzerland) · 2023Article
- Aquaphotomics Monitoring of Lettuce Freshness during Cold Storage.Foods (Basel, Switzerland) · 2023Article
- Discrimination ofInternational journal of molecular sciences · 2022Article
- Pilot Aquaphotomic Study of the Effects of Audible Sound on Water Molecular Structure.Molecules (Basel, Switzerland) · 2022Article
- Aquaphotomics monitoring of strawberry fruit during cold storage - A comparison of two cooling systems.Frontiers in nutrition · 2022Article
- An Overview of Near Infrared Spectroscopy and Its Applications in the Detection of Genetically Modified Organisms.International journal of molecular sciences · 2021Review
- Theoretical Simulation of Near-Infrared Spectrum of Piperine: Insight into Band Origins and the Features of Regression Models.Applied spectroscopy · 2021Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Mung bean is a leguminous crop with specific trait in its diet, namely in the form of anti-nutrient components. The sprouting process is commonly done for better nutritional acceptance of mung bean as it presents better nutritional benefits. Sprouted mung bean serves as a cheap source of protein and ascorbic acid, which are dependent on the sprouting process, hence the importance of following the biological process. In larger production scale, there has not been a definite standard for mung bean sprouting, raising the need for quick and effective mung bean sprout quality checks. In this regard, near-infrared spectroscopy (NIRS) has been recognized as a highly sensitive technique for quality control that seems suitable for this study. The aim of this paper was to describe quality parameters (water content, pH, conductivity, and ascorbic acid by titration) during sprouting using conventional analytical methods and advanced NIRS techniques as correlative methods for modelling sprouted mung beans' quality and ascorbic acid content. Mung beans were sprouted in 6 h intervals up to 120 h and analyzed using conventional methods and a NIR instrument. The results of the standard analytical methods were analyzed with univariate statistics (analysis of variance (ANOVA)), and the NIRS spectral data was assessed with the chemometrics approach (principal component analysis (PCA), discriminant analysis (DA), and partial least squares regression (PLSR)). Water content showed a monotonous increase during the 120 h of sprouting. The change in pH and conductivity did not describe a clear pattern during the sprouting, confirming the complexity of the biological process. Spectral data-based discriminant analysis was able to distinctly classify the bean sprouts with 100% prediction accuracy. A NIRS-based model for ascorbic acid determination was made using standard ascorbic acid to quantify the components in the bean extract. A rapid detection technique within sub-percent level was developed for mung bean ascorbic acid content with R
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Registered trials
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