IP Library Granted Patent US 10,877,016
Granted Patent B2
US 10,877,016 · App. 15/781,924 · Granted Dec 29, 2020

Fuel oil identification sensor equipped with receptor layer composed of hydrocarbon-group-modified particles, and fuel oil identification method

Inventors: Kota Shiba (Ibaraki, JP); Genki Yoshikawa (Ibaraki, JP); Gaku Imamura (Ibaraki, JP)
Assignee: NATIONAL INSTITUTE FOR MATERIALS SCIENCE
G01N33/22C10L1/02C10L1/04G01L1/18G01N5/02G01N33/0047G01N21/553
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Quick Facts
Patent No.
US 10,877,016
App. No.
15/781,924
Granted
Dec 29, 2020
Kind
B2
Abstract

Provided is a sensor which enables detection/identification of various types of fuels for automobiles by using simple devices. According to the present invention, high-octane gas, regular gas, diesel oil, heating oil, gasoline laced with heating oil, and the like can be clearly identified without using a large-scale analysis such as gas chromatography or mass spectroscopy by using a sensor having a structure in which a surface of a sensor body which detects a surface stress or the like is coated with particles modified with a hydrocarbon group such as an alkyl group.

Claims (28)

1. A fuel oil identification sensor for distinguishing and identifying at least one fuel oil from among a plurality of fuel oils comprising:

a surface stress sensor and a receptor layer for fuel oil identification, wherein

the surface stress sensor detects a change in a surface stress;

the receptor layer comprises a particle of 1 mm or less in particle size and is modified with a hydrocarbon group;

a surface of the surface stress sensor is coated with the receptor layer; and

the at least one fuel oil is distinguished and identified from among the plurality of fuel oils on the basis of the change in the surface stress.

2. The fuel oil identification sensor according to claim 1 , wherein the particle is a nanoparticle having a particle size of 100 nm or less.

3. The fuel oil identification sensor according to claim 1 , wherein the particle comprises at least one member selected from the group consisting of zeolite; a metal- organic framework; a hybrid of an oxide and/or a metal and various surfactants; a porous material; graphene; an alkali silicate or a titanate such as a clay mineral; and a low-dimensional compound comprising a transition metal oxoate.

4. The fuel oil identification sensor according to claim 1 , wherein the receptor layer further comprises a matrix material other than the particle.

5. The fuel oil identification sensor according to claim 1 , wherein the hydrocarbon group is an alkyl group or an aryl group.

6. The fuel oil identification sensor according to claim 5 , wherein the alkyl group is an alkyl group having 1 to 30 carbon atoms.

7. The fuel oil identification sensor according to claim 6 , wherein the alkyl group is a dodecyl group or an octadecyl group.

8. The fuel oil identification sensor according to claim 1 , wherein the at least one fuel oil is distinguished and identified from among regular gasoline; high-octane gasoline; diesel oil; heating oil; a mixture of regular gasoline or high-octane gasoline with heating oil, a mixture of regular gasoline or high-octane gasoline with an alcohol; heavy oil A; a mixture of heavy oil A with heating oil; and/or a mixture of at least one of heavy oil A and heating oil with diesel oil.

9. A fuel oil identification method comprising:

supplying vapor of an analyte to the fuel oil identification sensor according to claim 1 ; and

distinguishing and identifying the analyte on the basis of an output of the fuel oil identification sensor,

wherein the analyte comprises at least one fuel oil from among the plurality of fuel oils.

10. The fuel oil identification method according to claim 9 , wherein a mixture of the vapor of the analyte and another gas is supplied to the fuel oil identification sensor.

11. The fuel oil identification method according to claim 10 , wherein the other gas is a gas or a mixture of a plurality of gases selected from the group consisting of nitrogen, air, argon, and helium.

12. The fuel oil identification method according to claim 9 , wherein the vapor of the analyte is generated without heating or cooling.

13. The fuel oil identification method according to claim 9 , wherein the vapor of the analyte is generated at room temperature.

14. The fuel oil identification method according to claim 9 , comprising:

supplying the vapor of the analyte to a plurality of types of fuel oil identification sensors; and

distinguishing and identifying the analyte on the basis of outputs of the respective fuel oil identification sensors.

15. The fuel oil identification method according to claim 9 , wherein vapors of a plurality of analytes are switched in sequence for delivery to the fuel oil identification sensor.

16. The fuel oil identification method according to claim 15 , wherein cleaning of the fuel oil identification sensor is not performed for at least one cycle of the switching for the delivery.

17. The fuel oil identification method according to claim 9 , wherein identification of the analyte is made by further performing an information processing of the output of the fuel oil identification sensor.

18. The fuel oil identification method according to claim 17 , wherein the information processing is based on at least one analytical method selected from the group consisting of principal component analysis, a neural network, deep learning, a support vector machine, random forest, a decision tree, regression analysis, and big data analysis.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 6, 2018
From: SHIBA, KOTA; YOSHIKAWA, GENKI; IMAMURA, GAKU
To: NATIONAL INSTITUTE FOR MATERIALS SCIENCE
Reel/Frame 046003/0964 →
Priority Claims (1)
JP 2015-239115 · Dec 8, 2015 · national
Continuity (1)
Related Publication 20180356388A1 · Dec 13, 2018