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Valorization of Spondias bahiensis waste: Ultrasound-assisted extraction, in vitro phenolics bioaccessibility, and effect on the stability of lipid-protein oxidation in pre-cooked goat meatballs

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Food Bioscience 2025年 69卷

作者： da Silva Ferreira, Valquíria Cardoso de Santana Neto, Deocleciano Cassiano Fernandes Santos, Miriane Moreira da Silva, Anna Júllia Bezerra de Azevedo Moura, Gleyce Swellen Santos Ribeiro, José Evangelista Lima, Marcos dos Santos Magnani, Marciane Silva, Fábio Anderson Pereira da Department of Management and Agro-industrial Technology Federal University of Paraíba Paraíba Bananeiras Brazil Post-graduate Program in Food Engineering Department of Chemical Engineering Federal University of Paraná Brazil Post-graduate Program in Food Science and Technology Department of Food Engineering Technology Center Federal University of Paraíba Paraíba Joao Pessoa 58051-900 Brazil Department of Food Engineering Technology Center Federal University of Paraíba Paraíba Joao Pessoa 58051-900 Brazil

This study aimed to optimize the ultrasound-assisted extraction of phenolic compounds from the bagasse of umbu-cajá (Spondias bahiensis), a native Brazilian fruit, and to assess their bioaccessibility. Additionally, the influence of different concentrations of the umbu-cajá bagasse (SBB) extract on the oxidative stability of pre-cooked goat meatballs was investigated over a 10-day refrigerated storage period by quantifying lipid oxidation products. A central composite rotational design determined the optimal ethanol concentration, sonication time, and bagasse-solvent ratio. The optimized extract was applied to meatballs at two concentrations: EX2 (meatballs with 7.0 g/100 g of added SBB extract) and EX4 (meatballs with 13.7 g/100 g of added SBB extract). A control treatment (no antioxidant) and BHT-treated meatballs (0.02 g/100 g) were included as references. Meatballs were evaluated by measuring instrumental color, peroxide value, TBARS, carbonyl compounds, and through simulated digestion. Optimal extraction conditions were 55 % ethanol, 20 min of sonication, and a 1:36.8 bagasse-to-solvent ratio (m/v). The extract showed high antioxidant activity and bioaccessibility of catechin (1243.75 %), epicatechin gallate (918.75 %), procyanidins B2 (915.38 %), gallic acid (319.76 %) and procyanidins B1 (136.36 %). SBB extract slowed lipid oxidation until day 10 and protein oxidation until day 5 but did not inhibit color change. The meatballs had low content of oxidative compounds and high antioxidant capacity in the intestinal fraction, indicating that SBB extract can partially or totally replace the synthetic preservative. © 2025

关键词： Antioxidant Goat meat In vitro gastrointestinal digestion Oxidation Phenolic compounds Umbu-cajá

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Real-time optimization using gradient adaptive selection and classification from infrared sensors measurement for esterification oleic acid with glycerol

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International Journal of Intelligent Computing and Cybernetics 2017年第2期10卷 130-144页

作者： Iwan Aang Soenandi Taufik Djatna Ani Suryani Irzaman Post Graduate Program of Agro-industrial Technology Bogor Agricultural UniversityBogorIndonesia and Faculty of Engineering and Computer ScienceKrida Wacana Christian UniversityJakartaIndonesia Post Graduate Program of Agro-industrial Technology Bogor Agricultural UniversityBogorIndonesia Department of Physics Faculty of Mathematics and Natural SciencesBogor Agricultural UniversityBogorIndonesia

Purpose-The production of glycerol derivatives by the esterification process is subject to many constraints related to the yield of the production target and the lack of process *** accurate monitoring and controlling of the process can improve production yield and *** purpose of this paper is to propose a real-time optimization(RTO)using gradient adaptive selection and classification from infrared sensor measurement to cover various disturbances and uncertainties in the ***/methodology/approach-The integration of the esterification process optimization using self-optimization(SO)was developed with classification process was combined with necessary condition optimum(NCO)as gradient adaptive selection,supported with laboratory scaled medium wavelength infrared(mid-IR)sensors,and measured the proposed optimization system indicator in the batch *** Process Modeling and Notation(BPMN 2.0)was built to describe the tasks of SO workflow in collaboration with NCO as an abstraction for the conceptual ***,Stateflow modeling was deployed to simulate the three states of gradient-based adaptive control combined with support vector machine(SVM)classification and Arduino microcontroller for ***-This new method shows that the real-time optimization responsiveness of control increased product yield up to 13 percent,lower error measurement with percentage error 1.11 percent,reduced the process duration up to 22 minutes,with an effective range of stirrer rotation set between 300 and 400 rpm and final temperature between 200 and 210℃ which was more efficient,as it consumed less *** limitations/implications-In this research the authors just have an experiment for the esterification process using glycerol,but as a development concept of RTO,it would be possible to apply for another chemical reaction or *** implications-This research introduces new development of an RTO approach to optimal con

关键词： Gradient technique Infrared sensor Real-time optimization Simulation and modelling Support vector machine

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An Extensive Overview of Block Chain-based Financing in Coffee Supply Chain: Exploration and Exploitation

An Extensive Overview of Block Chain-based Financing in Coff...

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agrosystem engineering, Technology & Applications (AGRETA), IEEE International Conference on

作者： Agriananta Fahmi Hidayat Taufik Djatna Indah Yuliasih Ono Suparno Post Graduate Study Program in Agro-industrial Engineering IPB university Agriculture Engineering Universitas of Mataram Bogor Indonesia Agro-industrial Engineering IPB University Bogor Indonesia

ISBN: (数字)9798350373660

ISBN: (纸本)9798350373677

This research explores the impact of blockchain-based financing strategies on the coffee supply chain, focusing on improving financial procedures, increasing transparency, and refining supply chain management methodologies. Implementing blockchain technology in the supply chain leads to a more efficient, secure, and collaborative financial system in the coffee industry. Our study categorizes existing research into four stages: summarization, synthesis, comparison, and critique. Findings indicate that blockchain integration can significantly address transparency, fair trade, and trust issues within coffee supply chains. This paper proposes modifications to existing models better to fit the unique requirements of coffee supply chain processes, highlighting areas for future research.

关键词： Industries Supply chain management Supply chains Refining Finance Focusing Collaboration Blockchains Context modeling

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Optimization Process of Glycerol Esterification Using Real Time Adaptive Control

Optimization Process of Glycerol Esterification Using Real T...

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International Conference on Advanced Computer Science and Information Systems

作者： Iwan Aang Soenandi Ani Suryani Taufik Djatna Irzaman Post Graduate Program of Agro-industrial Technology Bogor Agricultural University Dramaga Indonesia Lecturer Faculty of Engineering and Computer Science Krida Wacana Christian University Post Graduate Program of Agro-industrial Technology Bogor Agricultural University. Dramaga Indonesia Post Graduate Program of Agro-industrial Technology and Graduate Program of Computer Science Bogor Agricultural University. Dramaga Indonesia Department of Physics Faculty Mathematics and Natural Sciences Bogor Agricultural University. Dramaga Indonesia

ISBN: (纸本)9781509003648

The synthesis reaction used in esterification needs high energy consumption and a precise processing time to get the best yield of target. In this study, a model was formulated to optimize glycerol esterification process by minimizing the time needed for the process and maximizing the yield of Mono-glycerides. This optimization has gained importance for boosting the esterification industry and improving the production efficiency. Optimization through adaptive monitoring and control has provided significant advances in the process efficiency, a lower energy consumption and a better product quality. This paper presents the optimization with a computational algorithm in real time and adaptive control (RTAC), as compared to the conventional (traditional) methods to monitor and control of glycerol esterification processes. The identification of esterification status based on temperature and time are evaluated to strengthen the optimization. An adaptive method as feature selection to select wavelength IR sensors at specified intervals was carried out with Relief algorithm and Adaptive Pillar K-means clustering method to set the parameter control was proposed in this paper. Many combinations were evaluated from real time condition process, to achieve the best optimization results. The experimental results demonstrate that real time adaptive control can be achieved by using three clusters, which are heating up, stabilizing and finishing. In RTAC, each cluster has its own parameter to set the control point by the servo motor that was attached to magnetic stirrer-heater. By using optimization parameter for each cluster, esterification process time can be shortened by 15-20 minutes with a higher yield (7% or more), lower range stirrer rotation (300rpm-450 rpm) and a lower final temperature of 200℃ - 210℃.

关键词： Optimization Real Time Adaptive Control Glycerol Esterification

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Linking agro-industrial engineering body of knowledge with industry 4.0: A case study of agro-industrial engineering study program at IPB University

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IOP Conference Series: Earth and Environmental Science 2020年第1期443卷

作者： T Djatna Graduate and Post Graduate Program of Agro-industrial Engineering Study Program- IPB University Bogor Indonesia 16680

The emergence of Industry 4.0 paradigms has been forcing and changing the landscape aspect of engineering education, as seen in agro-industrial engineering body of knowledge (AIEBoK). These paradigms push to adapt and to prepare a new approach for curriculum content and delivery. It is urgent to re-think and redefine how to prepare a newer perspective into the three combined disciplines that form AIE-BoK, namely industrial and system engineering, process/bioprocess engineering, and industrial environmental engineering. They should clearly intertwine their relevance in parallel with pillars of the industry 4.0. These stakeholder's requirements are the main motivation of this work. Within Industry 4.0 vision, AIE-BoK is investigated on how disruptive technologies play a role in changes. Some issues related to how to utilize common connectivity in technology advancement and to push a relevant curriculum both content and structure are discussed. In order to construct a new map and landscape of curriculum relevancy, it continues with the discussion of how and where agro-industrial engineering education attempts to interpret new roles in industrial revolution 4.0. Along with the consideration of how this interpretation potentially changes agro-industrial products, services, and manufacturing. In closing, a discussion of how agro-industrial engineering curriculum should respond is briefly discussed.

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The impact of copper oxide nanoparticles reinforced nanocellulose acetate membrane on antibacterial and dye removal Potency

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Results in engineering 2024年 23卷

作者： Yanuhar, Uun Suryanto, Heru Amin, Muhamad Maulana, Jibril Mohamad Lal, Mohammad Tamrin Caesar, Nico Rahman Study Program of Aquatic Resources Management Faculty of Fisheries and Marine Sciences Universitas Brawijaya East Java Indonesia Department of Mechanical and Industrial Engineering Faculty of Engineering Universitas Negeri Malang Jl. Semarang 5 Malang65145 Indonesia Department of Aquaculture Faculty of Fisheries and Marine Universitas Airlangga Jl. Dharmahusada Permai Surabaya60115 Indonesia Borneo Marine Research Institute Universiti Malaysia Sabah Jalan UMS Sabah Kota Kinabalu88400 Malaysia Doctoral Program of Environment Science Post Graduate Program Universitas Brawijaya Jalan Veteran East Java Malang65145 Indonesia

With the rapid growth of the textile, leather, cosmetics, and pharmaceutical industries, concerns about pollutants in these sectors, especially dye pollutants, are increasing. This research characterizes bacterial nanocellulose acetate membranes made from Sargassum extract reinforced with copper oxide nanoparticles and tests their antibacterial properties and dye removal in water. Sargassum sp. extract was fermented using Acetobacter xylinum for 10 days, producing bacterial nanocellulose, which was then esterified to create bacterial nanocellulose acetate. Copper oxide nanoparticles were added to the bacterial nanocellulose acetate solution in varying concentrations, cast, and oven-dried. The membrane was analyzed using Fourier-transform infrared spectroscopy, X-ray diffraction, scanning electron microscope, antibacterial activity, and dye removal. Results showed uniform copper oxide nanoparticles distribution on the membrane surface. Structure analysis revealed diffraction peaks at 35.44° and 38.57°, indicating a reduced crystalline index but improved membrane effectiveness. Antibacterial tests showed a zone of inhibition against bacterial growth, increasing with higher copper oxide nanoparticle content. The addition of copper oxide nanoparticles also influenced the dye removal capacity for Metanil Yellow, Congo Red, Eosin Yellow, Methylene Blue, and Malachite Green. The kinetic analysis showed that the adsorption process follows a pseudo-first-order model, with higher correlation coefficients (R2) compared to the pseudo-second-order model. © 2024 The Author(s)

关键词： Fourier transform infrared spectroscopy

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Ozone Nanobubble Water: An Effective and Environmentally Friendly Sterilizer for Fresh Produce

SSRN

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SSRN 2024年

作者： Rosalinda, S. Alam, Hilman Syaeful Yusuf, Asep Dwiratna, Sophia Mariastuty, Tantry Eko Putri Agusta, Waqif Department of Agricultural Industrial Technology Agricultural Biosystems Engineering Study Program Post-Harvest Laboratory and Process Technology Universitas Padjadjaran Jalan Raya Bandung Sumedang KM.21 Hegarmanah Kec. Jatinangor Kabupaten Jawa Barat Sumedang45363 Indonesia Research Center for Smart Mechatronics National Research and Innovation Agency Jalan Sangkuriang Bandung40135 Indonesia Agro-Industry Research Center National Research Agency National Research and Innovation Agency Jalan Sangkuriang Bandung40135 Indonesia

Washing fresh produce is crucial for removing contaminants and enhancing its appeal, yet traditional chlorine-based sanitizers often fall short of effectively eliminating surface pathogens while compromising quality. This study introduces Ozone Nanobubble Water (ONBW) as a chemical-free alternative. ONBW is produced through a specialized nozzle-type generator, dissolving ozone gas into ultrapure water to create nanobubbles, with ozone concentration regulated via Oxidation-Reduction Potential (ORP) measurements. Fresh broccoli and tomatoes were immersed in ONBW with a 1.5 mg/L ozone concentration for different durations to assess sterilization efficacy and shelf life under room temperature. The analysis encompassed contamination levels, weight loss, color, chlorophyll and lycopene content, texture, soluble solids, and respiration rate. Findings indicate that ONBW effectively reduces bacterial counts, showcasing its potential in producing sanitization. Moreover, ONBW treatment enhances vegetable quality and prolongs shelf life, preserving color, texture, and nutrients during storage. While the impact on respiration rate varies with storage conditions, nanobubble technology offers promise in mitigating quality deterioration and extending shelf life. However, further investigations are warranted to evaluate ONBW's efficacy across diverse vegetables and optimize washing parameters. © 2024, The Authors. All rights reserved.

关键词： Textures

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Potential production of palm oil-based foaming agent as fire extinguisher of peatlands in Indonesia: Literature review

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IOP Conference Series: Earth and Environmental Science 2017年第1期65卷

作者： P Subekti E Hambali A Suryani P Suryadarma Program Study of Mechanical Engineering Pasir Pengaraian University Regency of Rokan Hulu Riau Indonesia Post Graduate Student Program Study Agricultural Industrial Technology Bogor Agricultural University Bogor Indonesia Department of Agricultural Industrial Technology Faculty of Agricultural Industrial Technology Bogor Agricultural University Bogor Indonesia Surfactant and Bioenergy Research Center Bogor Agricultural University Bogor Indonesia

This study aims to analyze the potential aplication of of palm oil-based foaming agent as peat fires fighter in Indonesia. From literature review, it has been known that the foaming agent able to form foam to extinguish fire, wrap and refrigerate the burning peat. It is necessary to develop the production and application of foaming agent in Indonesia because peat fires occur almost every year that caused smoke haze. Potential raw material for the production of environmental friendly foaming agent as foam extinguishing for peat fires in Indonesia aong other is palm oil due to abundant availability, sustainable, and foam product easily degraded in the environment of the burnt areas. Production of foaming agent as fire-fighting in Indonesia is one alternative to reduce the time to control the fire and smog disaster impact. Application of palm oil as a raw material for fire-fighting is contribute to increase the value added and the development of palm oil downstream industry.

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Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease study 2019

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The Lancet 2020年第10258期396卷 1204-1222页

作者： Abbafati, Cristiana Abbas, Kaja M. Abbasi, Mohammad Abbasifard, Mitra Abbasi-Kangevari, Mohsen Abbastabar, Hedayat Abd-Allah, Foad Abdelalim, Ahmed Abdollahi, Mohammad Abdollahpour, Ibrahim Abedi, Aidin Abedi, Parisa Abegaz, Kedir Hussein Abolhassani, Hassan Abosetugn, Akine Eshete Aboyans, Victor Abrams, Elissa M. Abreu, Lucas Guimarães Abrigo, Michael R.M. Abu Haimed, Abdulaziz Khalid Abualhasan, Ahmed Abu-Gharbieh, Eman Abu-Raddad, Laith Jamal Abushouk, Abdelrahman I. Acebedo, Alyssa Ackerman, Ilana N. Adabi, Maryam Adair, Tim Adamu, Abdu A. Adebayo, Oladimeji M. Adedeji, Isaac Akinkunmi Adekanmbi, Victor Adelson, Jaimie D. Adeoye, Abiodun Moshood Adetokunboh, Olatunji O. Adham, Davoud Advani, Shailesh M. Afarideh, Mohsen Afshari, Mahdi Afshin, Ashkan Agardh, Emilie E. Agarwal, Gina Agasthi, Pradyumna Agesa, Kareha M. Aghaali, Mohammad Aghamir, Seyed Mohammad Kazem Agrawal, Anurag Ahmad, Tauseef Ahmadi, Alireza Ahmadi, Keivan Ahmadi, Mehdi Ahmadieh, Hamid Ahmadpour, Ehsan Ahmed, Muktar Beshir Aji, Budi Akalu, Temesgen Yihunie Akinyemi, Rufus Olusola Akinyemiju, Tomi Akombi, Blessing Akunna, Chisom Joyqueenet Alahdab, Fares Al-Aly, Ziyad Alam, Khurshid Alam, Noore Alam, Samiah Alam, Tahiya Alanezi, Fahad Mashhour Alanzi, Turki M. Albertson, Samuel B. Alcalde-Rabanal, Jacqueline Elizabeth Alema, Niguse Meles Alemu, Biresaw Wassihun Alemu, Yihun Mulugeta Alhabib, Khalid F. Alhassan, Robert Kaba Ali, Muhammad Ali, Saqib Alicandro, Gianfranco Alijanzadeh, Mehran Alinia, Cyrus Alipour, Vahid Alizade, Hesam Aljunid, Syed Mohamed Alla, François Allebeck, Peter Almadi, Majid Abdulrahman Hamad Almasi, Ali Almasi-Hashiani, Amir Almasri, Nihad A. Al-Mekhlafi, Hesham M. Almulhim, Abdulaziz M. Alonso, Jordi Al-Raddadi, Rajaa M. Altirkawi, Khalid A. Alumran, Arwa Khalid Alvis-Guzman, Nelson Alvis-Zakzuk, Nelson J. Amare, Azmeraw T. Amare, Bekalu Amini, Saeed Amini-Rarani, Mostafa Aminorroaya, Arya Amiri, Fatemeh Amit, Arianna Maever L. Amugsi, Dickson A. Amul, Gianna Gayle Herrera Anbesu, Etsay Woldu Ancuceanu, Robert Anderl Department of Juridical and Economic Studies La Sapienza University Rome Italy Department of Infectious Disease Epidemiology London School of Hygiene and Tropical Medicine London United Kingdom Social Determinants of Health Research Center Tehran Iran Department of Neurology Cairo University Cairo Egypt School of Pharmacy Tehran Iran The Institute of Pharmaceutical Sciences (TIPS) Tehran Iran Neuroscience Research Center Isfahan University of Medical Sciences Isfahan Iran Biostatistics Department Near East University Nicosia Cyprus Biostatistics and Health Informatics Madda Walabu University Bale Robe Ethiopia Research Center for Immunodeficiencies Tehran Iran Karolinska University Hospital Huddinge Sweden Department of Cardiology Dupuytren University Hospital Limoges France University of Limoges Limoges France Department of Pediatric Dentistry Federal University of Minas Gerais Belo Horizonte Brazil Department of Research Philippine Institute for Development Studies Quezon City Philippines Department of Healthcare Policy and Research Weill Cornell Medical College in Qatar Doha Qatar Harvard Medical School Boston MA United States Department of Medicine Ain Shams University Cairo Egypt Hamadan University of Medical Sciences Hamadan Iran School of Medicine Cardiff University Cardiff United Kingdom School of Laboratory Medicine and Science University College Hospital Ibadan Ibadan Nigeria Institute of Cardiovascular Diseases University of Ibadan Ibadan Nigeria Centre of Excellence for Epidemiological Modelling and Analysis Stellenbosch University Cape Town South Africa Department of Global Health Stellenbosch University Cape Town South Africa School of Health Ardabil University of Medical Science Ardabil Iran Social Behavioral Research Branch National Institute of Health Bethesda MD United States Department of Oncology Georgetown University Washington DC DC United States Department of Health Metrics Sciences School of Medicine Seattle WA

Background: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods: GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw value

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