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Dillirani Nagarajan

National Cheng Kung University

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Jo‐Shu Chang

Tunghai University

Duu‐Jong Lee

City University of Hong Kong

Chun‐Yen Chen

National Cheng Kung University

Jih-Heng Chen

National Kaohsiung University of Science and Technology

Shih‐Hsin Ho

Harbin Institute of Technology

Sunita Varjani

Central Pollution Control Board

Nan-Qi Ren

Harbin Institute of Technology

Cheng‐Di Dong

National Kaohsiung Marine University

Chieh-Lun Cheng

National Cheng Kung University

I‐Son Ng

National Cheng Kung University

Cooperative Institutions

National Cheng Kung University

Harbin Institute of Technology

University of Nottingham Malaysia Campus

University of the Philippines Diliman

National Sun Yat-sen University

University of Malaya

National Kaohsiung University of Science and Technology

National Chung Hsing University

Yuan Ze University

Tunghai University

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Eicosapentaenoic acid production from Nannochloropsis oceanica CY2 using deep sea water in outdoor plastic-bag type photobioreactors

Bioresource Technology (2017)

Chun‐Yen Chen Dillirani Nagarajan Wai Yan Cheah

Photobioreactor

10.1016/j.biortech.2017.12.102

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Citations (31)

Exploring fermentation strategies for enhanced lactic acid production with polyvinyl alcohol-immobilized Lactobacillus plantarum 23 using microalgae as feedstock

Bioresource Technology (2020)

Po‐Ting Chen Zih-Syuan Hong Chieh-Lun Cheng I‐Son Ng Yung‐Chung Lo

Hydraulic retention time

Polyvinyl Alcohol

10.1016/j.biortech.2020.123266

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Citations (60)

Fermentative production of astaxanthin from sorghum distillery residue by an indigenous Aurantiochytrium sp. CJ6 strain using a continuous-feeding fed-batch process

Bioresource Technology (2023)

Shih-Wei Yen Dillirani Nagarajan Wei‐Hsin Chen Duu‐Jong Lee Jo‐Shu Chang

Residue (chemistry)

10.1016/j.biortech.2023.128817

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Citations (4)

Microalgae-bacteria consortia for the treatment of raw dairy manure wastewater using a novel two-stage process: Process optimization and bacterial community analysis

Chemical Engineering Journal (2023)

Yi-Ling Chang Dillirani Nagarajan Jih-Heng Chen Chun Yen Chen Y. J. Wu

Chlorella sorokiniana

10.1016/j.cej.2023.145388

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Citations (25)

Carbon capture and utilization of fermentation CO2: Integrated ethanol fermentation and succinic acid production as an efficient platform

Applied Energy (2017)

Quanguo Zhang Nurhayati Nurhayati Chieh-Lun Cheng Dillirani Nagarajan Jo‐Shu Chang

Succinic acid

Carbon fibers

10.1016/j.apenergy.2017.08.193

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Citations (66)

How does the Internet of Things (IoT) help in microalgae biorefinery?

Biotechnology Advances (2021)

Kexin Wang Kuan Shiong Khoo Hui Yi Leong Dillirani Nagarajan Kit Wayne Chew

Photobioreactor

10.1016/j.biotechadv.2021.107819

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Citations (93)

Fermentative lactic acid production from seaweed hydrolysate using Lactobacillus sp. And Weissella sp

Bioresource Technology (2021)

Dillirani Nagarajan Naomi Oktarina Po‐Ting Chen Chun‐Yen Chen Duu‐Jong Lee

Bioconversion

Sargassum

10.1016/j.biortech.2021.126166

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Citations (47)

Dark fermentative hydrogen production using macroalgae (Ulva sp.) as the renewable feedstock

Applied Energy (2020)

Winny Margareta Dillirani Nagarajan Jo‐Shu Chang Duu‐Jong Lee

Clostridium butyricum

Dark fermentation

Fermentative hydrogen production

Reducing sugar

10.1016/j.apenergy.2020.114574

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Citations (55)

Bioremediation of sulfonamides by a microalgae-bacteria consortium – Analysis of pollutants removal efficiency, cellular composition, and bacterial community

Bioresource Technology (2022)

Yue Wang Jinghua Li Lei Yao Xiaoqiang Li Dillirani Nagarajan

Sulfamethoxazole

Microbial consortium

Malondialdehyde

10.1016/j.biortech.2022.126964

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Modeling of astaxanthin biosynthesis via machine learning, mathematical and metabolic network modeling

Critical Reviews in Biotechnology (2023)

Vinoj Chamilka Liyanaarachchi Gannoru Kankanamalage Sanuji Hasara Nishshanka P.H.V. Nimarshana Jo‐Shu Chang Thilini U. Ariyadasa

Natural astaxanthin is synthesized by diverse organisms including: bacteria, fungi, microalgae, and plants involving complex cellular processes, which depend on numerous interrelated parameters. Nonetheless, existing knowledge regarding astaxanthin biosynthesis and the conditions influencing astaxanthin accumulation is fairly limited. Thus, manipulation of the growth conditions to achieve desired biomass and astaxanthin yields can be a complicated process requiring cost-intensive and time-consuming experiment-based research. As a potential solution, modeling and simulation of biological systems have recently emerged, allowing researchers to predict/estimate astaxanthin production dynamics in selected organisms. Moreover, mathematical modeling techniques would enable further optimization of astaxanthin synthesis in a shorter period of time, ultimately contributing to a notable reduction in production costs. Thus, the present review comprehensively discusses existing mathematical modeling techniques which simulate the bioaccumulation of astaxanthin in diverse organisms. Associated challenges, solutions, and future perspectives are critically analyzed and presented.

Metabolic network

10.1080/07388551.2023.2237183

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Citations (4)

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