Application of principal component analysis (PCA) to the assessment of parameter correlations in the partial-nitrification process using aerobic granular sludge

Cui, Fenghao; Kim, Minkyung; Park, Chul; Kim, Do Kyun; Mo, Kyung; Kim, Moonil

doi:10.1016/j.jenvman.2021.112408

Cited by 26 publications

(6 citation statements)

References 29 publications

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“…The effluent from a SBR for the aerobic nitrification treatment was used for the construction of the Chlorella –bacteria system. Aerobic nitrification treatment is a common approach for nutrient removal by activated sludge bacteria in many wastewater treatment plants . Therefore, aerobic nitrification treatment and the Chlorella –bacteria system can be used together to achieve the synchronous implementation of nutrient removal and microalgal cultivation and harvest, which is beneficial to microalgae-based wastewater treatment.…”

Section: Resultsmentioning

confidence: 99%

N-Acyl-Homoserine Lactone (AHL)-Mediated Microalgal–Bacterial Communication Driving Chlorella-Activated Sludge Bacterial Biofloc Formation

Wang

Zheng

et al. 2022

Environ. Sci. Technol.

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N-acyl-homoserine lactones (AHLs) as autoinducers of Gramnegative bacteria for quorum sensing regulation have shown positive effects on the production of aromatic proteins in extracellular polymeric substances (EPSs) during bioflocculation. To investigate the role of AHLs in aromatic protein production, a Chlorella−bacteria system with great bioflocculation was established via fed-batch cultivation. Tryptophan and aromatic proteins as the main compounds in the EPS of bioflocs showed an increasing trend during fed-batch cultivation. The Chlorella cells only secreted tryptophan rather than aromatic proteins during axenic cultivation. N-dodecanoyl-L-homoserine lactone (C12-HSL) was correlated with the flocculation activity and extracellular protein content of bioflocs during fed-batch cultivation. The addition of exogenous C12-HSL enhanced the flocculation activity of the Chlorella−bacteria system and aromatic protein production in the EPS. Chlorella cells sensed exogenous C12-HSL and significantly upregulated the aromatic protein synthesis pathway during axenic cultivation. In addition, vanillin as a quorum-sensing inhibitor suppressed the positive effect of C12-HSL on flocculation activity and aromatic protein production and synthesis. This result indicated that vanillin intercepts the response of Chlorella cells to C12-HSL. Overall, C12-HSL is supposed to be an important signal molecule to achieve communication between Chlorella and Gram-negative bacteria and subsequently induce Chlorella cells to produce aromatic proteins for biofloc formation.

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Section: Resultsmentioning

confidence: 99%

N-Acyl-Homoserine Lactone (AHL)-Mediated Microalgal–Bacterial Communication Driving Chlorella-Activated Sludge Bacterial Biofloc Formation

Wang

Zheng

et al. 2022

Environ. Sci. Technol.

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“…PCA makes it possible to convert a set of correlated variables into a new set of uncorrelated variables called principal components. As a multivariate unsupervised statistical procedure, PCA is widely used as a data exploratory tool 36–39 . PCA is used when there are too many explanatory variables relative to the number of observations or the explanatory variables are highly correlated.…”

Section: Methodsmentioning

confidence: 99%

“…As a multivariate unsupervised statistical procedure, PCA is widely used as a data exploratory tool. [36][37][38][39] PCA is used when there are too many explanatory variables relative to the number of observations or the explanatory variables are highly correlated. Mathematical and geometrical basics of PCA algorithm including the methods of choosing the number of principal components are given in.…”

Section: Principal Components Analysismentioning

confidence: 99%

Method of raw materials selection for production of the MgO‐C bricks of comparable properties using PCA and K‐medoids

Sado

2023

Int J Applied Ceramic Tech

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MgO‐C refractories are zonally installed in most of the key heat devices of steel and iron metallurgy with the exposure to various corrosive factors. One of the most significant factors is low‐temperature decarburization resulting in the oxidation of carbon in MgO‐C refractories and loss of its properties. Moreover MgO‐C materials are exposed for direct attack of liquid slag or steel melt which easily infiltrate the porous, decarburized hot face of the bricks. Cost of MgO‐C materials of high quality is important for refractories user. For this reason researches try to develop materials of high quality but with lower cost by substituting fused raw materials with sintered ones or with recycled MgO‐C. In this article method of selecting the raw materials for production of MgO‐C bricks with comparable properties is shown. 20 different variants of MgO‐C materials were prepared with the use of various quality raw materials. Basic properties of the industrially produced MgO‐C bricks were measured. To select recipes with similar quality PCA method and K‐medoids algorithm were applied. To verify the results corrosion resistance of selected MgO‐C materials were tested with the use of induction furnace of medium frequency.This article is protected by copyright. All rights reserved

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“…The spectral dimensionality of apple samples was so high that we applied PCA to reduce the dimensionality of samples (Cui et al, 2021; Gong, Meng, Liu, & Bi, 2014). PCA reduced the dimension of the original index under the principle of minor information loss.…”

Section: Methodsmentioning

confidence: 99%

Detection of apple varieties by near‐infrared reflectance spectroscopy coupled with SPSO‐PFCM

et al. 2022

J Food Process Engineering

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To accurately identify apple varieties on the assembly line and to improve the development of the apple quality detection, we proposed a possibilistic fuzzy c‐means (PFCM) algorithm based on similar particle swarm optimization (SPSO) for classifying near‐infrared spectroscopy (NIR) spectra. We took the objective function of PFCM as the fitness function of SPSO (SPSO‐PFCM), which reduced the dependence on fuzzy c‐means algorithm (FCM). The similarity between particles maintained the diversity of particles and then avoided premature convergence of particle swarm optimization (PSO). In the experiment, we classified four kinds of apples. SPSO‐PFCM was utilized to develop the classification model for the NIR spectra of apples. The results showed that SPSO‐PFCM had the highest clustering accuracy, which reached 96%. We also used two datasets to verify the algorithm, and the results proved that SPSO‐PFCM had the highest accuracy. Therefore, SPSO‐PFCM combined with NIR was an effective method to identify apple varieties. Practical Applications Different kinds of apples have various nutritional components and prices. Based on this, to identify apple varieties faster, correctly and nondestructively, SPSO‐PFCM and NIR reflectance spectroscopy were used to build a powerful classification model. The experimental results showed that compared with the other four algorithms, SPSO‐PFCM has apparent advantages. A novel method for apple classification of apple varieties using SPSO‐PFCM and NIR spectroscopy was introduced in this paper. With this method, the factory can classify apples quickly and accurately.

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Application of principal component analysis (PCA) to the assessment of parameter correlations in the partial-nitrification process using aerobic granular sludge

Cited by 26 publications

References 29 publications

N-Acyl-Homoserine Lactone (AHL)-Mediated Microalgal–Bacterial Communication Driving Chlorella-Activated Sludge Bacterial Biofloc Formation

N-Acyl-Homoserine Lactone (AHL)-Mediated Microalgal–Bacterial Communication Driving Chlorella-Activated Sludge Bacterial Biofloc Formation

Method of raw materials selection for production of the MgO‐C bricks of comparable properties using PCA and K‐medoids

Detection of apple varieties by near‐infrared reflectance spectroscopy coupled with SPSO‐PFCM

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