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S K, Ravi YK, Kumar G, Kadapakkam Nandabalan Y, J RB. Microalgal biorefineries: Advancement in machine learning tools for sustainable biofuel production and value-added products recovery. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 353:120135. [PMID: 38286068 DOI: 10.1016/j.jenvman.2024.120135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 12/16/2023] [Accepted: 01/17/2024] [Indexed: 01/31/2024]
Abstract
The microalgae can be converted into biofuels, biochemicals, and bioactive compounds in a biorefinery. Recently, designing and executing more viable and sustainable biofuel production from microalgal biomass is one of the vital challenges in the development of biorefinery. Scalable cultivation of microalgae is mandatory for commercializing and industrializing the biorefinery. The intrinsic complication in cultivation of microalgae is the physiological and operational factors that renders challenging impact to enable a smooth and profitable operation. However, this aim can only be successful via a simulation prospect. Machine learning tools provides advanced approaches for evaluating, predicting, and controlling uncertainties in microalgal biorefinery for sustainable biofuel production. The present review provides a critical evaluation of the most progressing machine learning tools that validate a potential to be employed in microalgal biorefinery. These tools are highly potential for their extensive evaluation on microalgal screening and classification. However, the application of these tools for optimization of microalgal biomass cultivation in industries in order to increase the biomass production, is still in its initial stages. Integrated hybrid machine learning tools can aid the industries to function efficiently with least resources. Some of the challenges, and perspectives of machine learning tools are discussed. Besides, future prospects are also emphasized. Though, most of the research reports on machine learning tools are not appropriate to gather generalized information, standard protocols and strategies must be developed to design generalized machine learning tools. On a whole, this review offers a perspective information about digitalized microalgal exploitation in a microalgal biorefinery.
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Affiliation(s)
- Kavitha S
- Department of Biotechnology, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, 641021, India
| | - Yukesh Kannah Ravi
- Centre for Organic and Nanohybrid Electronics, Silesian University of Technology, Konarskiego 22B, 44-100, Gliwice, Poland
| | - Gopalakrishnan Kumar
- School of Civil and Environmental Engineering, Yonsei University, Seoul, 03722, Republic of Korea; Institute of Chemistry, Bioscience and Environmental Engineering, Faculty of Science and Technology, University of Stavanger, Box 8600 Forus, 4036 Stavanger, Norway
| | - Yogalakshmi Kadapakkam Nandabalan
- Department of Environmental Science and Technology, School of Environment and Earth Sciences, Central University of Punjab, VPO Ghudda, Bathinda, 151401, Punjab, India
| | - Rajesh Banu J
- Department of Biotechnology, Central University of Tamil Nadu, Neelakudi, Thiruvarur, 610005, Tamil Nadu, India.
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Zhu C, Hu C, Wang J, Chen Y, Zhao Y, Chi Z. A precise microalgae farming for CO 2 sequestration: A critical review and perspectives. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 901:166013. [PMID: 37541491 DOI: 10.1016/j.scitotenv.2023.166013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 06/27/2023] [Accepted: 08/01/2023] [Indexed: 08/06/2023]
Abstract
Microalgae are great candidates for CO2 sequestration and sustainable production of food, feed, fuels and biochemicals. Light intensity, temperature, carbon supply, and cell physiological state are key factors of photosynthesis, and efficient phototrophic production of microalgal biomass occurs only when all these factors are in their optimal range simultaneously. However, this synergistic state is often not achievable due to the ever-changing environmental factors such as sunlight and temperature, which results in serious waste of sunlight energy and other resources, ultimately leading to high production costs. Most control strategies developed thus far in the bioengineering field actually aim to improve heterotrophic processes, but phototrophic processes face a completely different problem. Hence, an alternative control strategy needs to be developed, and precise microalgal cultivation is a promising strategy in which the production resources are precisely supplied according to the dynamic changes in key factors such as sunlight and temperature. In this work, the development and recent progress of precise microalgal phototrophic cultivation are reviewed. The key environmental and cultivation factors and their dynamic effects on microalgal cultivation are analyzed, including microalgal growth, cultivation costs and energy inputs. Future research for the development of more precise microalgae farming is discussed. This study provides new insight into developing cost-effective and efficient microalgae farming for CO2 sequestration.
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Affiliation(s)
- Chenba Zhu
- Carbon Neutral Innovation Research Center, Xiamen University, Xiamen 361005, China; Fujian Key Laboratory of Marine Carbon Sequestration, Xiamen University, Xiamen 361005, China.
| | - Chen Hu
- College of the Environment and Ecology, Xiamen University, Xiamen 361102, China; State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen 361005, China
| | - Jialin Wang
- Carbon Neutral Innovation Research Center, Xiamen University, Xiamen 361005, China; State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen 361005, China
| | - Yimin Chen
- Environmental and Ecological Engineering Technology Center, Industrial Technology Research Institute, Xiamen University, Xiamen 361005, China
| | - Yunpeng Zhao
- State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China; Ningbo Institute of Dalian University of Technology, No.26 Yucai Road, Jiangbei District, Ningbo 315016, China.
| | - Zhanyou Chi
- School of Bioengineering, Dalian University of Technology, Dalian 116024, China; Ningbo Institute of Dalian University of Technology, No.26 Yucai Road, Jiangbei District, Ningbo 315016, China.
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3
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Oruganti RK, Biji AP, Lanuyanger T, Show PL, Sriariyanun M, Upadhyayula VKK, Gadhamshetty V, Bhattacharyya D. Artificial intelligence and machine learning tools for high-performance microalgal wastewater treatment and algal biorefinery: A critical review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 876:162797. [PMID: 36907394 DOI: 10.1016/j.scitotenv.2023.162797] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 02/23/2023] [Accepted: 03/07/2023] [Indexed: 06/18/2023]
Abstract
The increased water scarcity, depletion of freshwater resources, and rising environmental awareness are stressing for the development of sustainable wastewater treatment processes. Microalgae-based wastewater treatment has resulted in a paradigm shift in our approach toward nutrient removal and simultaneous resource recovery from wastewater. Wastewater treatment and the generation of biofuels and bioproducts from microalgae can be coupled to promote the circular economy synergistically. A microalgal biorefinery transforms microalgal biomass into biofuels, bioactive chemicals, and biomaterials. The large-scale cultivation of microalgae is essential for the commercialization and industrialization of microalgae biorefinery. However, the inherent complexity of microalgal cultivation parameters regarding physiological and illumination parameters renders it challenging to facilitate a smooth and cost-effective operation. Artificial intelligence (AI)/machine learning algorithms (MLA) offer innovative strategies for assessing, predicting, and regulating uncertainties in algal wastewater treatment and biorefinery. The current study presents a critical review of the most promising AI/MLAs that demonstrate a potential to be applied in microalgal technologies. The most commonly used MLAs include artificial neural networks, support vector machine, genetic algorithms, decision tree, and random forest algorithms. Recent developments in AI have made it possible to combine cutting-edge techniques from AI research fields with microalgae for accurate analysis of large datasets. MLAs have been extensively studied for their potential in microalgae detection and classification. However, the ML application in microalgal industries, such as optimizing microalgae cultivation for increased biomass productivity, is still in its infancy. Incorporating smart AI/ML-enabled Internet of Things (IoT) based technologies can help the microalgal industries to operate effectively with minimum resources. Future research directions are also highlighted, and some of the challenges and perspectives of AI/ML are outlined. As the world is entering the digitalized industrial era, this review provides an insightful discussion about intelligent microalgal wastewater treatment and biorefinery for researchers in the field of microalgae.
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Affiliation(s)
- Raj Kumar Oruganti
- Department of Civil Engineering, Indian Institute of Technology Hyderabad, Kandi, Sangareddy 502284, Telangana, India
| | - Alka Pulimoottil Biji
- Department of Civil Engineering, Indian Institute of Technology Hyderabad, Kandi, Sangareddy 502284, Telangana, India
| | - Tiamenla Lanuyanger
- Department of Civil Engineering, Indian Institute of Technology Hyderabad, Kandi, Sangareddy 502284, Telangana, India
| | - Pau Loke Show
- Department of Chemical Engineering, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates
| | - Malinee Sriariyanun
- Biorefinery and Process Automation Engineering Center, Department of Chemical and Process Engineering, The Sirindhorn Thai-German International Graduate School of Engineering, King Mongkut's University of Technology North Bangkok, Thailand
| | | | - Venkataramana Gadhamshetty
- Department of Civil and Environmental Engineering, South Dakota School of Mines and Technology, USA; 2-Dimensional Materials for Biofilm Engineering Science and Technology (2D-BEST) Center, South Dakota Mines, Rapid City, SD 57701, USA
| | - Debraj Bhattacharyya
- Department of Civil Engineering, Indian Institute of Technology Hyderabad, Kandi, Sangareddy 502284, Telangana, India.
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Cheah WY, Er AC, Aiyub K, Yasin NHM, Ngan S, Chew KW, Khoo KS, Ling TC, Juan JC, Ma Z, Show PL. Current status and perspectives of algae-based bioplastics: A reviewed potential for sustainability. ALGAL RES 2023. [DOI: 10.1016/j.algal.2023.103078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
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5
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Nguyen L, Nguyen DK, Nguyen T, Nguyen B, Nghiem TX. Analysis of Microalgal Density Estimation by Using LASSO and Image Texture Features. SENSORS (BASEL, SWITZERLAND) 2023; 23:2543. [PMID: 36904747 PMCID: PMC10007372 DOI: 10.3390/s23052543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 02/21/2023] [Accepted: 02/23/2023] [Indexed: 06/18/2023]
Abstract
Monitoring and estimating the density of microalgae in a closed cultivation system is a critical task in culturing algae since it allows growers to optimally control both nutrients and cultivating conditions. Among the estimation techniques proposed so far, image-based methods, which are less invasive, nondestructive, and more biosecure, are practically preferred. Nevertheless, the premise behind most of those approaches is simply averaging the pixel values of images as inputs of a regression model to predict density values, which may not provide rich information of the microalgae presenting in the images. In this work, we propose to exploit more advanced texture features extracted from captured images, including confidence intervals of means of pixel values, powers of spatial frequencies presenting in images, and entropies accounting for pixel distribution. These diverse features can provide more information of microalgae, which can lead to more accurate estimation results. More importantly, we propose to use the texture features as inputs of a data-driven model based on L1 regularization, called least absolute shrinkage and selection operator (LASSO), where their coefficients are optimized in a manner that prioritizes more informative features. The LASSO model was then employed to efficiently estimate the density of microalgae presenting in a new image. The proposed approach was validated in real-world experiments monitoring the Chlorella vulgaris microalgae strain, where the obtained results demonstrate its outperformance compared with other methods. More specifically, the average error in the estimation obtained by the proposed approach is 1.54, whereas those obtained by the Gaussian process and gray-scale-based methods are 2.16 and 3.68, respectively.
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Affiliation(s)
- Linh Nguyen
- Institute of Innovation, Science and Sustainability, Federation University Australia, Churchill, VIC 3842, Australia
| | - Dung K. Nguyen
- College of Agriculture and Life Science, Chonnam National University, Gwangju 61186, Republic of Korea
| | - Thang Nguyen
- Department of Engineering, Texas A&M University–Corpus Christi, Corpus Christi, TX 78412, USA
- Department of Automation and Control Engineering, Thuyloi University, Hanoi 116705, Vietnam
| | - Binh Nguyen
- Department of Engineering, Texas A&M University–Corpus Christi, Corpus Christi, TX 78412, USA
- Department of Automation and Control Engineering, Thuyloi University, Hanoi 116705, Vietnam
| | - Truong X. Nghiem
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ 86011, USA
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6
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Chong JWR, Khoo KS, Chew KW, Vo DVN, Balakrishnan D, Banat F, Munawaroh HSH, Iwamoto K, Show PL. Microalgae identification: Future of image processing and digital algorithm. BIORESOURCE TECHNOLOGY 2023; 369:128418. [PMID: 36470491 DOI: 10.1016/j.biortech.2022.128418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 11/08/2022] [Accepted: 11/11/2022] [Indexed: 06/17/2023]
Abstract
The identification of microalgae species is an important tool in scientific research and commercial application to prevent harmful algae blooms (HABs) and recognizing potential microalgae strains for the bioaccumulation of valuable bioactive ingredients. The aim of this study is to incorporate rapid, high-accuracy, reliable, low-cost, simple, and state-of-the-art identification methods. Thus, increasing the possibility for the development of potential recognition applications, that could identify toxic-producing and valuable microalgae strains. Recently, deep learning (DL) has brought the study of microalgae species identification to a much higher depth of efficiency and accuracy. In doing so, this review paper emphasizes the significance of microalgae identification, and various forms of machine learning algorithms for image classification, followed by image pre-processing techniques, feature extraction, and selection for further classification accuracy. Future prospects over the challenges and improvements of potential DL classification model development, application in microalgae recognition, and image capturing technologies are discussed accordingly.
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Affiliation(s)
- Jun Wei Roy Chong
- Department of Chemical and Environmental Engineering, Faculty of Science and Engineering, University of Nottingham Malaysia Campus, Jalan Broga, Semenyih 43500, Selangor Darul Ehsan, Malaysia
| | - Kuan Shiong Khoo
- Department of Chemical Engineering and Materials Science, Yuan Ze University, Taoyuan, Taiwan; Centre for Research and Graduate Studies, University of Cyberjaya, Persiaran Bestari, 63000 Cyberjaya, Selangor, Malaysia
| | - Kit Wayne Chew
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 62 Nanyang Drive, Singapore, 637459, Singapore
| | - Dai-Viet N Vo
- Institute of Applied Technology and Sustainable Development, Nguyen Tat Thanh University, Ho Chi Minh City 755414, Vietnam
| | - Deepanraj Balakrishnan
- Department of Mechanical Engineering, College of Engineering, Prince Mohammad Bin Fahd University, Al Khobar, 31952, Saudi Arabia
| | - Fawzi Banat
- Department of Chemical Engineering, Khalifa University, P.O Box 127788, Abu Dhabi, United Arab Emirates
| | - Heli Siti Halimatul Munawaroh
- Study Program of Chemistry, Department of Chemistry Education, Universitas Pendidikan Indonesia, Bandung 40154, West Java, Indonesia
| | - Koji Iwamoto
- Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100, Kuala Lumpur, Malaysia
| | - Pau Loke Show
- Department of Chemical and Environmental Engineering, Faculty of Science and Engineering, University of Nottingham Malaysia Campus, Jalan Broga, Semenyih 43500, Selangor Darul Ehsan, Malaysia; Zhejiang Provincial Key Laboratory for Subtropical Water Environment and Marine Biological Resources Protection, Wenzhou University, Wenzhou 325035, China; Department of Sustainable Engineering, Saveetha School of Engineering, SIMATS, Chennai 602105, India.
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7
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Wang H, Hu X, Cui Y, Sobhi M, Xu X, Zan X, Zhu F, Ni J, Elshobary M, Huo S. Oil-rich filamentous algae cultivation in anaerobic digestate effluent: Inhibition effect of undissociated fatty acids. ALGAL RES 2022. [DOI: 10.1016/j.algal.2022.102964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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8
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Lee JS, Sung YJ, Sim SJ. Kinetic analysis of microalgae cultivation utilizing 3D-printed real-time monitoring system reveals potential of biological CO 2 conversion. BIORESOURCE TECHNOLOGY 2022; 364:128014. [PMID: 36155817 DOI: 10.1016/j.biortech.2022.128014] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 09/16/2022] [Accepted: 09/17/2022] [Indexed: 06/16/2023]
Abstract
The microalgae-based bioconversion process is a promising carbon utilization technology because it can upgrade CO2 into valuable substances, but a multiplex monitoring system required for process control to maximize biomass productivity has not been well established. Herein, a 3D printed real-time optical density monitoring device (RTOMD) combined platform was presented. This platform enables precise kinetics analysis by maintaining high accuracy (over 95 %) under raucous outdoor conditions. Through RTOMD-based high-frequency measurements, it was observed that maximum biomass productivity of 4.497 g L-1 d-1 was reached, which greatly exceeds the requirements for a feasible microalgae process. We discovered that the CO2 fixation efficiency could be achieved to 70.75 %, indicating the potential of a bioconversion process to realize a carbon-neutral society. Consequently, the RTOMD system can contribute to promoting microalgae cultivation as an attractive carbon mitigation technology based on an improved understanding of the photosynthetic CO2 fixation kinetics.
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Affiliation(s)
- Jeong Seop Lee
- Department of Chemical and Biological Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea
| | - Young Joon Sung
- Department of Chemical and Biological Engineering, Sookmyung Women's University, 100 Cheongpa-ro 47-gil, Yongsan-gu, Seoul, Republic of Korea
| | - Sang Jun Sim
- Department of Chemical and Biological Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.
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9
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Carone M, Alpe D, Costantino V, Derossi C, Occhipinti A, Zanetti M, Riggio VA. Design and characterization of a new pressurized flat panel photobioreactor for microalgae cultivation and CO 2 bio-fixation. CHEMOSPHERE 2022; 307:135755. [PMID: 35868532 DOI: 10.1016/j.chemosphere.2022.135755] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 06/14/2022] [Accepted: 07/14/2022] [Indexed: 06/15/2023]
Abstract
Microalgae-based biorefinery processes are gaining particular importance as a biotechnological tool for direct carbon dioxide fixation and production of high-quality biomass and energy feedstock for different industrial markets. However, despite the many technological advances in photobioreactor designs and operations, microalgae cultivation is still limited due to the low yields achieved in open systems and to the high investment and operation costs of closed photobioreactors. In this work, a new alveolar flat panel photobioreactor was designed and characterized with the aim of achieving high microalgae productivities and CO2 bio-fixation rates. Moreover, the energy efficiency of the employed pump-assisted hydraulic circuit was evaluated. The 1.3 cm thick alveolar flat-panels enhance the light utilization, whereas the hydraulic design of the photobioreactor aims to improve the global CO2 gas-liquid mass transfer coefficient (kLaCO2). The mixing time, liquid flow velocity, and kLaCO2 as well as the uniformity matrix of the artificial lighting source were experimentally calculated. The performance of the system was tested by cultivating the green microalga Acutodesmus obliquus. A volumetric biomass concentration equal to 1.9 g L-1 was achieved after 7 days under controlled indoor cultivation conditions with a CO2 bio-fixation efficiency of 64% of total injected CO2. The (gross) energy consumption related to substrate handling was estimated to be between 27 and 46 Wh m-3, without any cost associated to CO2 injection and O2 degassing. The data suggest that this pilot-scale cultivation system may constitute a relevant technology in the development of microalgae-based industrial scenario for CO2 mitigation and biomass production.
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Affiliation(s)
- Michele Carone
- Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129, Torino, Italy.
| | - Davis Alpe
- Photo B-Otic S.r.l., Via Paolo Veronese 202, 10148, Torino, Italy
| | - Valentina Costantino
- Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129, Torino, Italy
| | - Clara Derossi
- Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129, Torino, Italy
| | - Andrea Occhipinti
- Abel Nutraceuticals S.r.l., Via Paolo Veronese 202, 10148, Torino, Italy
| | - Mariachiara Zanetti
- Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129, Torino, Italy
| | - Vincenzo A Riggio
- Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129, Torino, Italy
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10
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Yang W, Li S, Qv M, Dai D, Liu D, Wang W, Tang C, Zhu L. Microalgal cultivation for the upgraded biogas by removing CO 2, coupled with the treatment of slurry from anaerobic digestion: A review. BIORESOURCE TECHNOLOGY 2022; 364:128118. [PMID: 36252758 DOI: 10.1016/j.biortech.2022.128118] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 10/07/2022] [Accepted: 10/09/2022] [Indexed: 06/16/2023]
Abstract
Biogas is the gaseous by product generated from anaerobic digestion (AD), which is mainly composed of methane and CO2. Numerous independent studies have suggested that microalgae cultivation could achieve high efficiency for nutrient uptake or CO2 capture from AD, respectively. However, there is no comprehensive review on the purifying slurry from AD and simultaneously upgrading biogas via microalgal cultivation technology. This paper aims to fill this gap by presenting and discussing an information integration system based on microalgal technology. Furthermore, the review elaborates the mechanisms, configurations, and influencing factors of integrated system and analyzes the possible challenges for practical engineering applications and provides some feasibility suggestions eventually. There is hope that this review will offer a worthwhile and practical guideline to researchers, authorities and potential stakeholders, to promote this industry for sustainable development.
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Affiliation(s)
- Wenfeng Yang
- School of Resources & Environmental Science, Hubei International Scientific and Technological Cooperation Base of Sustainable Resource and Energy, Hubei Key Laboratory of Biomass-Resources Chemistry and Environmental Biotechnology, Wuhan University, Wuhan 430079, PR China
| | - Shuangxi Li
- School of Resources & Environmental Science, Hubei International Scientific and Technological Cooperation Base of Sustainable Resource and Energy, Hubei Key Laboratory of Biomass-Resources Chemistry and Environmental Biotechnology, Wuhan University, Wuhan 430079, PR China
| | - Mingxiang Qv
- School of Resources & Environmental Science, Hubei International Scientific and Technological Cooperation Base of Sustainable Resource and Energy, Hubei Key Laboratory of Biomass-Resources Chemistry and Environmental Biotechnology, Wuhan University, Wuhan 430079, PR China
| | - Dian Dai
- School of Resources & Environmental Science, Hubei International Scientific and Technological Cooperation Base of Sustainable Resource and Energy, Hubei Key Laboratory of Biomass-Resources Chemistry and Environmental Biotechnology, Wuhan University, Wuhan 430079, PR China
| | - Dongyang Liu
- School of Resources & Environmental Science, Hubei International Scientific and Technological Cooperation Base of Sustainable Resource and Energy, Hubei Key Laboratory of Biomass-Resources Chemistry and Environmental Biotechnology, Wuhan University, Wuhan 430079, PR China
| | - Wei Wang
- School of Resources & Environmental Science, Hubei International Scientific and Technological Cooperation Base of Sustainable Resource and Energy, Hubei Key Laboratory of Biomass-Resources Chemistry and Environmental Biotechnology, Wuhan University, Wuhan 430079, PR China
| | - Chunming Tang
- School of Resources & Environmental Science, Hubei International Scientific and Technological Cooperation Base of Sustainable Resource and Energy, Hubei Key Laboratory of Biomass-Resources Chemistry and Environmental Biotechnology, Wuhan University, Wuhan 430079, PR China
| | - Liandong Zhu
- School of Resources & Environmental Science, Hubei International Scientific and Technological Cooperation Base of Sustainable Resource and Energy, Hubei Key Laboratory of Biomass-Resources Chemistry and Environmental Biotechnology, Wuhan University, Wuhan 430079, PR China.
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11
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Nguyen DK, Nguyen HQ, Dang HTT, Nguyen VQ, Nguyen L. A low-cost system for monitoring pH, dissolved oxygen and algal density in continuous culture of microalgae. HARDWAREX 2022; 12:e00353. [PMID: 36082147 PMCID: PMC9445390 DOI: 10.1016/j.ohx.2022.e00353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
In a continuous and closed system of culturing microalgae, constantly monitoring and controlling pH, dissolved oxygen (DO) and microalgal density in the cultivation environment are paramount, which ultimately influence on the growth rate and quality of the microalgae products. Apart from the pH and DO parameters, the density of microalgae can be used to contemplate what light condition in the culture chamber is or when nutrients should be supplemented, which both also decide productivity of the cultivation. Moreover, the microalgal density is considered as an indicator indicating when the microalgae can be harvested. Therefore, this work proposes a low-cost monitoring equipment that can be employed to observe pH, DO and microalgal density over time in a culture environment. The measurements obtained by the proposed monitoring device can be utilized for not only real-time observations but also controlling other sub-systems in a continuous culture model including stirring, ventilating, nutrient supplying and harvesting, which leads to more efficiency in the microalgal production. More importantly, it is proposed to utilize the off-the-shelf materials to fabricate the equipment with a total cost of about 513 EUR, which makes it practical as well as widespread. The proposed monitoring apparatus was validated in a real-world closed system of cultivating a microalgae strain of Chlorella vulgaris. The obtained results indicate that the measurement accuracies are 0.3%, 3.8% and 8.6% for pH, DO and microalgae density quantities, respectively.
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Affiliation(s)
- Dung Kim Nguyen
- Faculty of Engineering, Vietnam National University of Agriculture, Hanoi 10000, Viet Nam
| | - Huy Quang Nguyen
- Faculty of Engineering, Vietnam National University of Agriculture, Hanoi 10000, Viet Nam
| | - Huyen Thuy T. Dang
- Faculty of Engineering, Vietnam National University of Agriculture, Hanoi 10000, Viet Nam
| | - Viet Quoc Nguyen
- Faculty of Engineering, Vietnam National University of Agriculture, Hanoi 10000, Viet Nam
| | - Linh Nguyen
- Institute of Innovation, Science and Sustainability, Federation University, Churchill, VIC 3842, Australia
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12
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Yadav K, Vasistha S, Nawkarkar P, Kumar S, Rai MP. Algal biorefinery culminating multiple value-added products: recent advances, emerging trends, opportunities, and challenges. 3 Biotech 2022; 12:244. [PMID: 36033914 PMCID: PMC9402873 DOI: 10.1007/s13205-022-03288-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 07/29/2022] [Indexed: 11/01/2022] Open
Abstract
Algal biorefinery is rising as a prominent solution to economically fulfill the escalating global requirement for nutrition, feed, fuel, and medicines. In recent years, scientific productiveness associated with microalgae-based studies has elaborated in multiplied aspects, while translation to the commercial level continues to be missing. The present microalgal biorefinery has a challenge in long-term viability due to escalated market price of algal-mediated biofuels and bioproducts. Advancements are required in a few aspects like improvement in algae processing, energy investment, and cost analysis of microalgae biorefinery. Therefore, it is essential to recognize the modern work by understanding the knowledge gaps and hotspots driving business scale up. The microalgae biorefinery integrated with energy-based products, bioactive and green compounds, focusing on a circular bioeconomy, is urgently needed. A detailed investigation of techno-economic analysis (TEA) and life cycle assessment (LCA) is important to increase the market value of algal products. This review discusses the valorization of algal biomass for the value-added application that holds a sustainable approach and cost-competitive algal biorefinery. The current industries, policies, technology transfer trends, challenges, and future economic outlook are discussed. This study is an overview through scientometric investigation attempt to describe the research development contributing to this rising field.
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Affiliation(s)
- Kushi Yadav
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Sector-125, Noida, Uttar Pradesh 201313 India
| | - Shrasti Vasistha
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Sector-125, Noida, Uttar Pradesh 201313 India
| | - Prachi Nawkarkar
- International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, 110067 India
| | - Shashi Kumar
- International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, 110067 India
| | - Monika Prakash Rai
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Sector-125, Noida, Uttar Pradesh 201313 India
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Unsupervised feature selection based on incremental forward iterative Laplacian score. Artif Intell Rev 2022; 56:4077-4112. [PMID: 36160366 PMCID: PMC9484723 DOI: 10.1007/s10462-022-10274-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Feature selection facilitates intelligent information processing, and the unsupervised learning of feature selection has become important. In terms of unsupervised feature selection, the Laplacian score (LS) provides a powerful measurement and optimization method, and good performance has been achieved using the recent forward iterative Laplacian score (FILS) algorithm. However, there is still room for advancement. The aim of this paper is to improve the FILS algorithm, and thus, feature significance (SIG) is mainly introduced to develop a high-quality selection method, i.e., the incremental forward iterative Laplacian score (IFILS) algorithm. Based on the modified LS, the metric difference in the incremental feature process motivates SIG. Therefore, SIG offers a dynamic characterization by considering initial and terminal states, and it promotes the current FILS measurement on only the terminal state. Then, both the modified LS and integrated SIG acquire granulation nonmonotonicity and uncertainty, especially on incremental feature chains, and the corresponding verification is achieved by completing examples and experiments. Furthermore, a SIG-based incremental criterion of minimum selection is designed to choose optimization features, and thus, the IFILS algorithm is naturally formulated to implement unsupervised feature selection. Finally, an in-depth comparison of the IFILS algorithm with the FILS algorithm is achieved using data experiments on multiple datasets, including a nominal dataset of COVID-19 surveillance. As validated by the experimental results, the IFILS algorithm outperforms the FILS algorithm and achieves better classification performance.
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Kubar AA, Cheng J, Kumar S, Liu S, Tian J. Developing a Zigzag-baffled column photobioreactor to increase mass-transfer, CO2 fixation and biomass yield during A. platensis cultivation. J CO2 UTIL 2022. [DOI: 10.1016/j.jcou.2022.102126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Loke Show P. Global market and economic analysis of microalgae technology: Status and perspectives. BIORESOURCE TECHNOLOGY 2022; 357:127329. [PMID: 35589045 DOI: 10.1016/j.biortech.2022.127329] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/12/2022] [Accepted: 05/13/2022] [Indexed: 06/15/2023]
Abstract
Microalgae have been a promising alternative source of high-value compounds to replace the non-sustainable fossil fuels resource. The recent research development of algae-based bioproducts has remarkable impact various industries section for its renewability, efficiency, and environmentally friendly crops over those synthetic-made product. However, by utilizing microalgae biomass toward their full potential is still limited due to lack of research funding, social acceptability and challenges in policy implementation. This present review highlights the various microalgae biotechnology with consideration of economical aspect for the global potential of algae market, comparison between the microalgae market in Malaysia and international countries. In addition, the cultivation technologies and feasibility of microalgae biomass production globally, followed by insightful challenges and future development of microalgae industry are mentioned. The current study will contribute to the understanding of upstream and downstream of microalgae processing along with technical economical understandings for the successful commercialisation of microalgae products.
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Affiliation(s)
- Pau Loke Show
- Zhejiang Provincial Key Laboratory for Subtropical Water Environment and Marine Biological Resources Protection, Wenzhou University, Wenzhou 325035, China; Department of Chemical Engineering, Faculty of Science and Engineering, University of Nottingham Malaysia, 43500 Semenyih, Selangor Darul Ehsan, Malaysia.
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Russell C, Rodriguez C, Yaseen M. Microalgae for lipid production: Cultivation, extraction & detection. ALGAL RES 2022. [DOI: 10.1016/j.algal.2022.102765] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Van JCF, Tham PE, Lim HR, Khoo KS, Chang JS, Show PL. Integration of Internet-of-Things as sustainable smart farming technology for the rearing of black soldier fly to mitigate food waste. J Taiwan Inst Chem Eng 2022. [DOI: 10.1016/j.jtice.2022.104235] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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