2016
DOI: 10.1016/j.cej.2015.09.110
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Estimation of effluent quality parameters from an activated sludge system using quantitative image analysis

Abstract: h i g h l i g h t s Quantitative image analysis was used to evaluate an activated sludge system. COD, ammonia, and nitrate effluent concentrations were estimated by partial least squares. Using morphological and physiological data provided the best predicting abilities. Quantitative image analysis has the ability to be used in process monitoring.

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Cited by 35 publications
(19 citation statements)
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“…During the quantitative analysis of bacteria, the "area" function in Nis-Elements AR Analysis 4.30 was used to mark the areas of suitable intensity of green light. There were no optimization or segmentation steps using the binary image as it is usually used for image analysis [14,15], mainly due to the presence of extensive structures such as activated sludge flocs. In that case, a precise approach to the image analysis does not bring much to the result and is really time-consuming.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…During the quantitative analysis of bacteria, the "area" function in Nis-Elements AR Analysis 4.30 was used to mark the areas of suitable intensity of green light. There were no optimization or segmentation steps using the binary image as it is usually used for image analysis [14,15], mainly due to the presence of extensive structures such as activated sludge flocs. In that case, a precise approach to the image analysis does not bring much to the result and is really time-consuming.…”
Section: Resultsmentioning
confidence: 99%
“…Calculations depend on counting surfaces with a specific fluorescence intensity. The analysis is usually preceded by optimization and segmentation processes to achieve the best matching of the fluorescent area to the actual surface of bacteria [14,15]. To date, research has focused on pure cultures rather than mixed populations, such as activated sludge flocs.…”
Section: Introductionmentioning
confidence: 99%
“…8 In recent years, a number of techniques were employed for the removal of organic pollutants from effluents, including precipitation, membrane ltration, coagulation, ion exchange, adsorption and chemical oxidation. [9][10][11][12][13][14][15] Among these methods, adsorption is one of the promising techniques, [16][17][18][19] mainly due to the effective procedure, operational simplicity, low cost and low energy requirements. 1 The most widely used adsorbents include mesoporous silica, 20 organoclays, 21 powdered activated sludge, 22 activated carbon, 23 magnetic nanoparticles, 24,25 zeolite, 26 molecular sieves, 27,28 activated aluminium oxide 29 and porous polymers.…”
Section: Introductionmentioning
confidence: 99%
“…In general, perovskite films can be prepared using vacuum vapor deposition, one‐step spin deposition, two‐step deposition techniques, solvent engineering, and additive engineering Different preparation methods lead to different results, and an approach using a multivariate strategy is important in PSC research. Recent studies show that the quality of perovskite layers can be improved by adding halides or changing organic solvent in the perovskite precursor solution, giving rise to high‐performance perovskite solar cells.…”
Section: Introductionmentioning
confidence: 99%
“…[9] Consequently,t he PCE of perovskite solar cells (PSCs) has been increasedc onsiderably,f rom 3.9 %t oacurrent world record of 22.1 %. [10][11][12][13][14][15][16][17][18] In general, perovskite films can be prepared using vacuum vapor deposition, [19] one-steps pin deposition, [20] two-step depositiont echniques, [21] solvent engineering, [22] and additive engineering [23] Different preparation methods lead to different results,and an approachusing amultivariatestrategy [24][25][26] is important in PSC research. Recent studies show that the quality of perovskite layers can be improved by adding halides [27] or changing organic solvent [28,29] in the perovskite precursor solution,g iving rise to high-performance perovskite solar cells.W ue tal.…”
Section: Introductionmentioning
confidence: 99%