Determination of total flavonoid and polysaccharide content in Anoectochilus formosanus in response to different light qualities using hyperspectral imaging

Chu, Xuan; Li, Rui; Wei, Hongyu; Liu, Hongli; Mu, Yinghui; Jiang, Hongzhe; Ma, Zhiyu

doi:10.1016/j.infrared.2022.104098

Cited by 8 publications

(5 citation statements)

References 41 publications

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“…The total flavonoid content analysis was performed according to the approach of Chu et al [15] using rutin as a standard. Briefly, the supernatant of the wine sample (1 mL) was mixed with 0.3 mL NaNO 2 (5%) and left to stand for 6 min, and then 0.3 mL Al(NO 3 ) 3 (10%) was added, sufficiently mixed, and reacted for an additional 8 min.…”

Section: Total Phenolic and Total Flavonoid Measurementsmentioning

confidence: 99%

Effects of Cynanchum bungei Decne Addition on the Physicochemical Properties and Antioxidant Activity of Rice Wine

Cai,

Dong,

Liu

et al. 2023

Fermentation

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Cynanchum bungei Decne is an agricultural crop with a high starch content and contains bioactive compounds with anti-tumor, anti-depressant, anti-oxidant, and other activities. In this work, three concentrations of C. bungei Decne, namely, 5%, 15%, and 25%, were added to media to brew C. bungei Decne rice wine. The basic physical and chemical properties, antioxidant activities, sensory characteristics, and volatile components of C. bungei Decne rice wine were determined. Furthermore, the effects of C. bungei Decne extract on the cell viability, alcohol dehydrogenase activity, and glucose absorption capacity of Saccharomyces cerevisiae were analyzed. The results showed that the main active compound contents and antioxidant activity of the rice wine were increased with the increase in the C. bungei Decne added. However, the vitality of Saccharomyces cerevisiae was inhibited by C. bungei Decne to some extent. Combined with a sensory evaluation, 15% C. bungei Decne was found to be the optimal additive concentration with which to brew C. bungei Decne rice wine. These data provide a theoretical basis for the development of C. bungei Decne rice wine.

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Section: Total Phenolic and Total Flavonoid Measurementsmentioning

confidence: 99%

Effects of Cynanchum bungei Decne Addition on the Physicochemical Properties and Antioxidant Activity of Rice Wine

Cai,

Dong,

Liu

et al. 2023

Fermentation

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“…Therefore, for predictions, the usual multiple linear regression model (MLR) is generally not applicable. Partial least squares regression (PLSR) [1][2][3] is a regularization method very efficient for NIRS data in particular in agronomic contexts [4][5][6]. The general principle is to reduce the dimension of X to a limited number a << p of orthogonal n × 1 vectors, referred to as scores, computed to maximize their squared covariance with y.…”

Section: Introductionmentioning

confidence: 99%

Averaging and Stacking Partial Least Squares Regression Models to Predict the Chemical Compositions and the Nutritive Values of Forages from Spectral Near Infrared Data

et al. 2022

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Partial least square regression (PLSR) is a reference statistical model in chemometrics. In agronomy, it is used to predict components (response variables y) of chemical composition of vegetal materials from spectral near infrared (NIR) data X collected from spectrometers. PLSR reduces the dimension of the spectral data X by defining vectors that are then used as latent variables (LVs) in a multiple linear model. One difficulty is to determine the relevant dimensionality (number of LVs) for the given data. This step can be very time consuming when many datasets have to be processed and/or the datasets are frequently updated. The paper focuses on an alternative, bypassing the determination of the PLSR dimensionality and allowing for automatizing the predictions. The strategy uses ensemble learning methods, such as averaging or stacking the predictions of a set of PLSR models with different dimensionalities. The paper presents various methods of PLSR averaging and stacking and compares their performances to the usual PLSR on six real datasets on different types of forages. The main finding of the study was the overall superiority of the averaging methods compared to the usual PLSR. We therefore believe that such methods can be recommended to analyze NIR data on forages.

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“…Numerous studies have shown that there are significant species differences in the adaptability of plants to continuous R and B light. (Chu et al 2022 ; Xu et al 2014 ). While some plants are capable of tolerating continuous light to improve their yield and quality, others produce adverse effects, hindering their growth and development (Van Gestel et al 2005a , b ; Zhou et al 2013 ).…”

Section: Discussionmentioning

confidence: 99%

Plant morphology, secondary metabolites and chlorophyll fluorescence of Artemisia argyi under different LED environments

Ding

Wang

et al. 2023

Photosynth Res

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Different light spectra from light-emitting diodes (LEDs) trigger species-specific adaptive responses in plants. We exposed Artemisia argyi ( A. argyi ) to four LED spectra: white (the control group), monochromatic red light (R), monochromatic blue light (B), or a mixture of R and B light of photon flux density ratio is 3 (RB), with equivalent photoperiod (14 h) and light intensity (160 μmol s −1 m −2 ). R light accelerated photomorphogenesis but decreased biomass, while B light significantly increased leaf area and short-term exposure (7 days) to B light increased total phenols and flavonoids. HPLC identified chlorogenic acid, 3,5-dicaffeoylquinic acid, gallic acid, jaceosidin, eupatilin, and taxol compounds, with RB and R light significantly accumulating chlorogenic acid, 3,5-dicaffeoylquinic acid, and gallic acid, and B light promoting jaceosidin, eupatilin, and taxol. OJIP measurements showed that B light had the least effect on the effective quantum yield ΦPSII, with higher rETR(II), Fv/Fm, qL and PIabs, followed by RB light. R light led to faster photomorphology but lower biomass than RB and B lights and produced the most inadaptability, as shown by reduced ΦPSII and enlarged ΦNPQ and ΦNO. Overall, short-term B light promoted secondary metabolite production while maintaining effective quantum yield and less energy dissipation.

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Determination of total flavonoid and polysaccharide content in Anoectochilus formosanus in response to different light qualities using hyperspectral imaging

Cited by 8 publications

References 41 publications

Effects of Cynanchum bungei Decne Addition on the Physicochemical Properties and Antioxidant Activity of Rice Wine

Effects of Cynanchum bungei Decne Addition on the Physicochemical Properties and Antioxidant Activity of Rice Wine

Averaging and Stacking Partial Least Squares Regression Models to Predict the Chemical Compositions and the Nutritive Values of Forages from Spectral Near Infrared Data

Plant morphology, secondary metabolites and chlorophyll fluorescence of Artemisia argyi under different LED environments

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