SG10201900755WA - Methods and system for processing lipid contents of at least one oil sample and simulating at least one training sample, and for predicting a blending formula, amongst others - Google Patents
Methods and system for processing lipid contents of at least one oil sample and simulating at least one training sample, and for predicting a blending formula, amongst othersInfo
- Publication number
- SG10201900755WA SG10201900755WA SG10201900755WA SG10201900755WA SG10201900755WA SG 10201900755W A SG10201900755W A SG 10201900755WA SG 10201900755W A SG10201900755W A SG 10201900755WA SG 10201900755W A SG10201900755W A SG 10201900755WA SG 10201900755W A SG10201900755W A SG 10201900755WA
- Authority
- SG
- Singapore
- Prior art keywords
- amongst
- simulating
- predicting
- methods
- sample
- Prior art date
Links
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/02—Food
- G01N33/03—Edible oils or edible fats
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/30—Prediction of properties of chemical compounds, compositions or mixtures
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
- G01N30/86—Signal analysis
- G01N30/8693—Models, e.g. prediction of retention times, method development and validation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
- G01N30/86—Signal analysis
- G01N30/8696—Details of Software
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/70—Machine learning, data mining or chemometrics
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Analytical Chemistry (AREA)
- General Engineering & Computer Science (AREA)
- Biochemistry (AREA)
- Mathematical Physics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Computational Linguistics (AREA)
- Molecular Biology (AREA)
- Food Science & Technology (AREA)
- Crystallography & Structural Chemistry (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Probability & Statistics with Applications (AREA)
- Algebra (AREA)
- Medicinal Chemistry (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Edible Oils And Fats (AREA)
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
SG10201900755WA SG10201900755WA (en) | 2019-01-28 | 2019-01-28 | Methods and system for processing lipid contents of at least one oil sample and simulating at least one training sample, and for predicting a blending formula, amongst others |
EP20151355.3A EP3686596A3 (en) | 2019-01-28 | 2020-01-13 | Methods and system for processing lipid contents of at least one oil sample, simulating at least one training sample, and for predicting a blending formula |
PCT/SG2020/050030 WO2020159438A1 (en) | 2019-01-28 | 2020-01-22 | Methods and system for processing lipid contents of at least one oil sample and simulating at least one training sample, and for predicting a blending formula, amongst others |
CN202010076889.7A CN111487384B (en) | 2019-01-28 | 2020-01-23 | Method and system for processing lipid content simulation training samples and predicting blend formulations |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
SG10201900755WA SG10201900755WA (en) | 2019-01-28 | 2019-01-28 | Methods and system for processing lipid contents of at least one oil sample and simulating at least one training sample, and for predicting a blending formula, amongst others |
Publications (1)
Publication Number | Publication Date |
---|---|
SG10201900755WA true SG10201900755WA (en) | 2020-08-28 |
Family
ID=69411210
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG10201900755WA SG10201900755WA (en) | 2019-01-28 | 2019-01-28 | Methods and system for processing lipid contents of at least one oil sample and simulating at least one training sample, and for predicting a blending formula, amongst others |
Country Status (4)
Country | Link |
---|---|
EP (1) | EP3686596A3 (en) |
CN (1) | CN111487384B (en) |
SG (1) | SG10201900755WA (en) |
WO (1) | WO2020159438A1 (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113406249B (en) * | 2021-06-16 | 2022-04-05 | 江南大学 | Method for predicting adulterated oil types in tea oil |
CN115985408B (en) * | 2023-02-08 | 2023-10-13 | 嘉兴红点应用科技有限公司 | Processing method and system of industrial yarn oiling agent |
CN116990409A (en) * | 2023-07-17 | 2023-11-03 | 中国科学院兰州化学物理研究所 | Extra-high virgin olive oil identification method based on squalene and sterol composition |
Family Cites Families (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5699270A (en) * | 1995-06-23 | 1997-12-16 | Exxon Research And Engineering Company | Method for preparing lubrication oils (LAW232) |
EP1382012B1 (en) * | 2002-03-26 | 2007-01-17 | Council of Scientific and Industrial Research | Improved performance of artificial neural network models in the presence of instrumental noise and measurement errors |
US7462490B2 (en) * | 2003-10-31 | 2008-12-09 | Chevron Oronite Company Llc | Combinatorial lubricating oil composition libraries |
US8407012B2 (en) * | 2008-07-03 | 2013-03-26 | Cold Spring Harbor Laboratory | Methods and systems of DNA sequencing |
US20100305872A1 (en) * | 2009-05-31 | 2010-12-02 | University Of Kuwait | Apparatus and Method for Measuring the Properties of Petroleum Factions and Pure Hydrocarbon Liquids by Light Refraction |
US9846147B2 (en) * | 2012-01-06 | 2017-12-19 | Bharat Petroleum Corporation Ltd. | Prediction of refining characteristics of oil |
CN103344661B (en) * | 2013-07-05 | 2016-02-24 | 上海适济生物科技有限公司 | A kind of method using hydrogen nuclear magnetic resonance method to identify adulterated oil and waste oil |
JP2015052663A (en) * | 2013-09-06 | 2015-03-19 | キヤノン株式会社 | Image processing method, image processing device, image-capturing device, and program |
CN104090044B (en) * | 2014-07-16 | 2016-03-23 | 中国农业科学院油料作物研究所 | A kind of for analyzing the method for fatty acid composition and the edible vegetable oil distinguishing method between true and false based on fatty acid composition in edible vegetable oil |
CN105353044B (en) * | 2014-08-18 | 2018-09-14 | 丰益(上海)生物技术研发中心有限公司 | The detection method of fat content |
CN104597193A (en) * | 2014-12-31 | 2015-05-06 | 中国农业科学院油料作物研究所 | Peanut oil adulteration qualitative identification method |
WO2016141451A1 (en) * | 2015-03-11 | 2016-09-15 | Hormoz Azizian | Method and technique for verification of olive oil composition |
CN105241861B (en) * | 2015-09-18 | 2018-05-08 | 中国人民解放军第二军医大学 | It is a kind of quickly to detect ten kinds of methods for mixing pseudo- component in lipid-loweringing class Chinese patent drug at the same time |
US10519770B2 (en) * | 2016-03-22 | 2019-12-31 | Halliburton Energy Services, Inc. | Calibration module for pooled optical sensors in downhole fluid analysis |
CN107543838B (en) * | 2017-09-20 | 2019-07-26 | 北京市食品安全监控和风险评估中心(北京市食品检验所) | A kind of adulterated magnetic resonance detection method for planting butter cream in dilute cream |
CN107727590A (en) * | 2017-09-27 | 2018-02-23 | 天津工业大学 | A kind of quantitative analysis method of polynary ready-mixed oil quick nondestructive |
CN107703065A (en) * | 2017-09-27 | 2018-02-16 | 天津工业大学 | It is a kind of to be used for the versatility model that soybean oil content is predicted in ready-mixed oil |
CN109002686B (en) * | 2018-04-26 | 2022-04-08 | 浙江工业大学 | Multi-grade chemical process soft measurement modeling method capable of automatically generating samples |
SG10201811511RA (en) * | 2018-12-21 | 2020-07-29 | Wilmar International Ltd | Method and system for predicting oil adulteration of an edible oil sample |
-
2019
- 2019-01-28 SG SG10201900755WA patent/SG10201900755WA/en unknown
-
2020
- 2020-01-13 EP EP20151355.3A patent/EP3686596A3/en not_active Withdrawn
- 2020-01-22 WO PCT/SG2020/050030 patent/WO2020159438A1/en active Application Filing
- 2020-01-23 CN CN202010076889.7A patent/CN111487384B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN111487384B (en) | 2023-05-02 |
EP3686596A2 (en) | 2020-07-29 |
CN111487384A (en) | 2020-08-04 |
WO2020159438A1 (en) | 2020-08-06 |
EP3686596A3 (en) | 2020-10-14 |
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