Patents Assigned to Shanghai Institute of Technology
  • Patent number: 11959043
    Abstract: The present disclosure discloses a method for extracting a plant essential oil with dual auxiliaries, which includes: using an aromatic plant as a raw material, adding an extracting liquid prepared from the dual auxiliaries and water, stirring evenly for raw material wetting back, then distilling and collecting the essential oil, where the dual auxiliaries include a component A and a component B, the component A includes at least one of choline chloride and betaine, and the component B includes at least one of a natural acid, an amine, an alcohol and a saccharide.
    Type: Grant
    Filed: January 11, 2022
    Date of Patent: April 16, 2024
    Assignee: SHANGHAI INSTITUTE OF TECHNOLOGY
    Inventors: Jing Hu, Weijun Deng, Fucheng Wei
  • Patent number: 11898115
    Abstract: The present invention relates to a nitrogen-containing terpolymer biodiesel solidification point depressant, and a preparation method and application thereof. The preparation method includes the following steps: 1) respectively preparing methylacrylic acid high carbon ester and N-hexadecyl methacrylamide; 2) adding the methylacrylic acid high carbon ester, the N-hexadecyl methacrylamide, and vinyl acetate to a solvent, and adding an initiator for polymerization to yield a methylacrylic acid high carbon ester-N-hexadecyl methacrylamide-vinyl acetate terpolymer, i.e., a nitrogen-containing terpolymer biodiesel solidification point depressant.
    Type: Grant
    Filed: May 27, 2021
    Date of Patent: February 13, 2024
    Assignee: SHANGHAI INSTITUTE OF TECHNOLOGY
    Inventors: Sheng Han, Suya Yin, Dongyuan Jin, Xian Zhu, Taishun Yang, Mingxia Yuan, Xin Li, Hualin Lin, Yuan Xue
  • Patent number: 11898229
    Abstract: The present disclosure provides a high-strength and high-plasticity casting high-entropy alloy (HEA), having a general formula of AlaCobCrcTidFeeNifCug, where 6.0<a?8.0, 18.0<b?23.0, 7.5?c<12.5, 2.0<d?8.5, 15.5<e?20.0, 28.0<f?37.0, 0.2<g?10.0, and a+b+c+d+e+f+g=100. The casting HEA can be prepared in one step and has excellent mechanical properties. The various metal raw materials are environmental-friendly and suitable for large-scale industrial production.
    Type: Grant
    Filed: July 11, 2022
    Date of Patent: February 13, 2024
    Assignee: SHANGHAI INSTITUTE OF TECHNOLOGY
    Inventors: Zemin Wang, Jiajun Li, Yu Dong, Min Liu, Linghuan Pang, Bin Fu, Zhanyong Wang
  • Patent number: 11864571
    Abstract: A Lucuma nervosa essence, a Lucuma nervosa aroma enhancer, a preparation method and applications thereof are disclosed. The Lucuma nervosa aroma enhancer includes methyl 3,7-dimethyl-6-octenoate and/or 3-(methylthio)propyl butyrate. A mass percentage of the Lucuma nervosa aroma enhancer in a Lucuma nervosa essence is 0.08%-1.1%, the Lucuma nervosa essence includes a substrate and the Lucuma nervosa aroma enhancer. The preparation method of the Lucuma nervosa essence includes mixing the components of the Lucuma nervosa essence. The Lucuma nervosa essence can be applied in preparing a food and/or a flavoring with a Lucuma nervosa flavor. When the Lucuma nervosa aroma enhancer provided by the present invention is used in combination with a Lucuma nervosa extract, or mixed with a composition in conjunction with other essence raw materials, the prepared Lucuma nervosa essence has full fruity aroma and strong sulfide aroma, thus effectively improving the aroma and taste of final products.
    Type: Grant
    Filed: April 23, 2020
    Date of Patent: January 9, 2024
    Assignee: SHANGHAI INSTITUTE OF TECHNOLOGY
    Inventors: Zuobing Xiao, Jiancai Zhu, Yunwei Niu
  • Publication number: 20230386605
    Abstract: The present discloses a predicting method of transcription factor binding sites based on weighted multi-granularity scanning, which belongs to the field of site prediction. The method comprises: using an inverse sequence, a complementary sequence and a complementary inverse sequence to augment an initial data set; carrying out feature representation on the DNA sequence by combining one-hot coding and multi-base feature coding; dividing a training set and a test set; calculating weight vectors of the features; carrying out weighted multi-granularity scanning; performing model training through a cascade forest to obtain a classification prediction model of transcription factor binding sites; inputting the test set into the classification prediction model to obtain a classification prediction result; and constructing an evaluation index to evaluate the performance of the method.
    Type: Application
    Filed: April 23, 2023
    Publication date: November 30, 2023
    Applicant: Shanghai Institute of Technology
    Inventors: Zhendong Liu, Xiangdong Mao, Yunxiang Liu, Dongyan Li, Yu Zhang, Tao Lin
  • Publication number: 20230307093
    Abstract: The present invention provides a method for preparing a transparent free-standing titanium dioxide nanotube array film. In the method, with the titanium foil as a substrate, the titanium dioxide nanotube array film is obtained by anode oxidation on the surface of the titanium foil. Upon high temperature annealing, the titanium dioxide nanotube array film naturally falls off to obtain the transparent free-standing titanium dioxide nanotube array film. The method according to the present invention features simple operations, saves time and cost. With the method, a completely strippable titanium dioxide nanotube array film may be prepared, and in addition, morphology of the titanium dioxide nanotube is not damaged. The free-standing and complete titanium dioxide nanotube array film facilitates transfer and post-treatment, has the feature of transparency and may be in favor of the applications to the studies such as photocatalysis and the like.
    Type: Application
    Filed: January 9, 2023
    Publication date: September 28, 2023
    Applicant: Shanghai Institute of Technology
    Inventors: Zhendong Liu, Yunxiang Liu, Xi Chen, Ying Chen
  • Publication number: 20230242827
    Abstract: The present invention relates to a nitrogen-containing terpolymer biodiesel solidification point depressant, and a preparation method and application thereof. The preparation method includes the following steps: 1) respectively preparing methylacrylic acid high carbon ester and N-hexadecyl methacrylamide; 2) adding the methylacrylic acid high carbon ester, the N-hexadecyl methacrylamide, and vinyl acetate to a solvent, and adding an initiator for polymerization to yield a methylacrylic acid high carbon ester-N-hexadecyl methacrylamide-vinyl acetate terpolymer, i.e., a nitrogen-containing terpolymer biodiesel solidification point depressant.
    Type: Application
    Filed: May 27, 2021
    Publication date: August 3, 2023
    Applicant: SHANGHAI INSTITUTE OF TECHNOLOGY
    Inventors: Sheng HAN, Suya YIN, Dongyuan JIN, Xian ZHU, Taishun YANG, Mingxia YUAN, Xin LI, Hualin LIN, Yuan XUE
  • Publication number: 20230220292
    Abstract: The present invention relates to a nitrogen-containing diesel solidification point depressant composition, and preparation and application thereof. The nitrogen-containing diesel solidification point depressant composition includes the following components in percentage by weight: 10-40% of monoisopropanolamine; 10-40% of cyclohexane; 0-20% of polyethylene glycol; and 40-60% of N-tetradecyl methacrylamide-tetradecyl methacrylate. After the prepared diesel solidification point depressant composition is added to commercially available 0 #diesel, a solidification point and a cold filter plugging point of the diesel are respectively depressed by 21-25° C. and 9-13° C.
    Type: Application
    Filed: May 27, 2021
    Publication date: July 13, 2023
    Applicant: SHANGHAI INSTITUTE OF TECHNOLOGY
    Inventors: Sheng HAN, Hualin LIN, Suya YIN, Xin LI, Mingxia YUAN, Maiying XIE, Fengfei CHEN, Taishun YANG
  • Publication number: 20230223099
    Abstract: A predicting method of cell deconvolution based on a convolutional neural network is provided. The convolutional neural network technology is used to speculate the cell type composition proportion of a tissue from single-cell RNA sequencing data. Compared with a traditional cell deconvolution algorithm, the predicting method of cell deconvolution based on a convolutional neural network overcomes the defects that the traditional cell deconvolution algorithm needs to carry out complex data preprocessing and needs to design a mathematical algorithm to standardize the single-cell sequencing data. According to the convolutional neural network designed by the present disclosure, hidden features can be extracted from the single-cell RNA sequencing data, network nodes have very high robustness to noise and errors of the data, and internal relations among various genes are fully mined, so that the cell deconvolution performance is improved.
    Type: Application
    Filed: January 5, 2023
    Publication date: July 13, 2023
    Applicant: Shanghai Institute of Technology
    Inventors: Zhendong Liu, Xinrong Lv, Yunxiang Liu, Ying Chen
  • Publication number: 20220220413
    Abstract: The present disclosure discloses a method for extracting a plant essential oil with dual auxiliaries, which includes: using an aromatic plant as a raw material, adding an extracting liquid prepared from the dual auxiliaries and water, stirring evenly for raw material wetting back, then distilling and collecting the essential oil, where the dual auxiliaries include a component A and a component B, the component A includes at least one of choline chloride and betaine, and the component B includes at least one of a natural acid, an amine, an alcohol and a saccharide.
    Type: Application
    Filed: January 11, 2022
    Publication date: July 14, 2022
    Applicant: SHANGHAI INSTITUTE OF TECHNOLOGY
    Inventors: Jing HU, Weijun DENG, Fucheng WEI
  • Publication number: 20210315243
    Abstract: A Lucuma nervosa essence, a Lucuma nervosa aroma enhancer, a preparation method and applications thereof are disclosed. The Lucuma nervosa aroma enhancer includes methyl 3,7-dimethyl-6-octenoate and/or 3-(methylthio)propyl butyrate. A mass percentage of the Lucuma nervosa aroma enhancer in a Lucuma nervosa essence is 0.08%-1.1%, the Lucuma nervosa essence includes a substrate and the Lucuma nervosa aroma enhancer. The preparation method of the Lucuma nervosa essence includes mixing the components of the Lucuma nervosa essence. The Lucuma nervosa essence can be applied in preparing a food and/or a flavoring with a Lucuma nervosa flavor. When the Lucuma nervosa aroma enhancer provided by the present invention is used in combination with a Lucuma nervosa extract, or mixed with a composition in conjunction with other essence raw materials, the prepared Lucuma nervosa essence has full fruity aroma and strong sulfide aroma, thus effectively improving the aroma and taste of final products.
    Type: Application
    Filed: April 23, 2020
    Publication date: October 14, 2021
    Applicant: SHANGHAI INSTITUTE OF TECHNOLOGY
    Inventors: Zuobing XIAO, Jiancai ZHU, Yunwei NIU
  • Patent number: 10836700
    Abstract: A process for preparing a ketone or carboxylic acid by catalytic oxidation of a secondary or primary alcohol comprises adding the secondary or primary alcohol as a raw material and N-hydroxyphthalimide (NHPI) combined with phthalocyanine, serving as a catalytic system, into an amount of an organic solvent into which oxygen gas is then introduced, to proceed with an oxidation reaction to give the ketone or carboxylic acid. The oxygen gas is employed as the source of an oxidant. The oxidation reaction may be carried out under normal pressure at 60 to 120° C. for 9 to 36 hours. The process can produce a high yield of ketone or carboxylic acid. Compared with conventional technology, the process has several advantages, such as the green oxidant, the cheap catalyst which can also be easily prepared and separated, and mild reaction conditions, and it is also an environmentally friendly process for alcohol oxidation.
    Type: Grant
    Filed: April 16, 2020
    Date of Patent: November 17, 2020
    Assignee: Shanghai Institute of Technology
    Inventors: Xiaoling Sun, Fei Li, Lingjun Ye, Zhilin Tang, Jinxin Zhao, Hehua Li