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Rapidly Quantifying Total Sugar and Nitrogen Contents during Carotenoid Fermentation Processes Using Near-infrared Spectroscopy
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Lian DAI1, Guangjun SONG2, Wujie ZHONG1, Min DING1, Yuyue WAN1, Jihong XIE1, Huali JIAN1, *
Science and Technology of Food Industry | 2026, 47(15) : 337 - 344
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Science and Technology of Food Industry | 2026, 47(15): 337-344
• Analysis and Determination •
Rapidly Quantifying Total Sugar and Nitrogen Contents during Carotenoid Fermentation Processes Using Near-infrared Spectroscopy
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Lian DAI1, Guangjun SONG2, Wujie ZHONG1, Min DING1, Yuyue WAN1, Jihong XIE1, Huali JIAN1, *
Affiliations
  • 1College of Food Science, South China Agricultural University, Guangzhou 510642, China
  • 2Guangzhou Biaoqi Optoelectronic Technology Development Co., Ltd., Guangzhou 510663, China
Published: 2026-08-01 doi: 10.13386/j.issn1002-0306.2025080068
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Xinhui dried tangerine peel fruit pulp was used as a raw material to establish a rapid and quantitative analytical method for monitoring the total soluble sugar (TSS) and nitrogen (TN) contents during carotenoid fermentation by Rhodotorula mucilaginosa (R. mucilaginosa). Near-infrared spectroscopy (NIR) was integrated with partial least squares regression (PLSR) to construct models for quantifying the TSS and TN in fermentation broth. The coefficient of determination for the prediction set (R2p), root mean square error of prediction (RMSEP), and relative percent deviation (RPD) were used as evaluation metrics, and the effects of different spectral preprocessing methods and feature wavenumbers on model performance were systematically compared. The results were externally validated using independent samples. The optimal models for quantifying the TSS and TN contents were obtained using multiplicative scatter correction (MSC) for preprocessing the spectrum and competitive adaptive reweighting sampling (CARS) for selecting the feature wavenumber. The model for quantifying TSS achieved a R2p of 0.9670, a RMSEP of 2.6587, and an external validation RPD of 4.8386, indicating high-precision quantitative analysis. The model for quantifying TN yielded R2p and RMSEP values of 0.9502 and 0.0624, respectively, with an external validation RPD of 2.7423, which indicated suitability for routine quantitative analyses. The t-test results for the TSS and TN models indicated that the predicted and measured values did not significantly differ (P>0.05), indicating high accuracy and stability. These models can be used for rapidly monitoring the TSS and TN contents in R. mucilaginosa carotenoid fermentation broth samples.

near-infrared spectroscopy  /  chemometrics  /  Rhodotorula mucilaginosa  /  total soluble sugar  /  total nitrogen  /  quantitative analysis model
戴炼, 宋光均, 钟武杰, 丁敏, 万语悦, 谢吉红, 蹇华丽. 基于近红外光谱的类胡萝卜素发酵过程总糖与总氮快速定量监测. 食品工业科技, 2026 , 47 (15) : 337 -344 . DOI: 10.13386/j.issn1002-0306.2025080068
Lian DAI, Guangjun SONG, Wujie ZHONG, Min DING, Yuyue WAN, Jihong XIE, Huali JIAN. Rapidly Quantifying Total Sugar and Nitrogen Contents during Carotenoid Fermentation Processes Using Near-infrared Spectroscopy[J]. Science and Technology of Food Industry, 2026 , 47 (15) : 337 -344 . DOI: 10.13386/j.issn1002-0306.2025080068
Year 2026 volume 47 Issue 15
110
49
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doi: 10.13386/j.issn1002-0306.2025080068
  • Receive Date:2025-08-11
  • Online Date:2026-10-24
  • Published:2026-08-01
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  • Received:2025-08-11
Affiliations
    1College of Food Science, South China Agricultural University, Guangzhou 510642, China
    2Guangzhou Biaoqi Optoelectronic Technology Development Co., Ltd., Guangzhou 510663, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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