IP Library › Granted Patent US 12,287,267
Granted Patent B2
US 12,287,267 · App. 17/610,092 · Granted Apr 29, 2025

Water impurity measurements with dynamic light scattering

Inventor: Harald Näslund (Stockholm, SE)
Assignee: Nanosized Sweden AB
G01N15/0211G01N15/06G01N15/1012G01N33/18G01N2015/0222G01N15/075G01N2015/1014
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,287,267
App. No.
17/610,092
Granted
Apr 29, 2025
Kind
B2
Abstract

A method for determining a degree of impurity of water comprises performing ( 200 ) of a dynamic light scattering analysis of a multitude of samples of a water to be tested. Each sample of said multitude of samples comprises added single-size polymer beads of a respective size and in a respective known amount. A smallest size of the single-size polymer beads giving rise to a detectable signal, discernible over a background noise level, in a size distribution curve of the dynamic light scattering analysis is determined ( 220 ). A smallest amount of the single-size polymer of the determined smallest size giving rise to a detectable signal is determined ( 230 ). A degree of impurity of the water to be tested is assigned ( 240 ) in dependence of the determined smallest size and the determined smallest amount of the single-size polymer.

Claims (38)

1. A method for determining a degree of impurity of water, comprising the steps of:

performing ( 200 ) a dynamic light scattering analysis of a multitude of samples of a water to be tested;

wherein each sample of said multitude of samples comprises added single-size polymer beads of a respective size and in a respective known amount;

determining ( 220 ) a smallest size of said single-size polymer beads giving rise to a detectable signal ( 44 ), discernible over a background noise level ( 42 ), in a size distribution curve ( 40 ) of said dynamic light scattering analysis;

determining ( 230 ) a smallest amount of said single-size polymer of said determined smallest size giving rise to a detectable signal ( 44 ), discernible over said background noise level ( 42 ), in said size distribution curve ( 40 ) of said dynamic light scattering analysis; and

assigning ( 240 ) a degree of impurity of said water to be tested in dependence of said determined smallest size and said determined smallest amount of said single-size polymer.

2. The method according to claim 1 , wherein said step of performing ( 200 ) a dynamic light scattering analysis of a multitude of samples of a water to be tested comprises:

a) adding ( 202 ) an amount of single-size polymer beads of a first size to a water sample;

b) performing ( 204 ) a dynamic light scattering analysis of said water sample;

c) repeating said steps a) and b) for successively increased amounts ( 212 ) of single-size polymer beads of said first size until a detectable signal ( 44 ), discernible over a background noise level ( 42 ), of said single-size polymer beads is achieved in said size distribution curve ( 40 ) of said dynamic light scattering analysis;

d) adding an amount of single-size polymer beads of a second size to a water sample, where said second size is smaller than said first size;

e) performing said steps a), b), c) for said second size; and

f) repeating steps d) and e) for successively smaller sizes ( 208 ) of said single-size polymer beads until an amount of single-size polymer beads above a predetermined maximum amount does not give rise to any detectable signal ( 44 ), discernible over a background noise level ( 42 ), of said single-size polymer beads in said size distribution curve ( 40 ) of said dynamic light scattering analysis.

3. The method according to claim 1 , wherein said detectable signal ( 44 ) is a signal discernible over a background noise level ( 42 ) at a size (S) corresponding to said added single-size polymer beads.

4. The method according to claim 1 , wherein said sizes of said single-size polymer beads are selected from a predetermined set of sizes.

5. The method according to claim 1 , wherein said single-size polymer beads comprise single-size polymer beads in the size range of 5-400 nm.

6. The method according to claim 1 , wherein said single-size polymer beads are single-sized latex beads.

7. The method according to claim 1 , wherein said step of assigning a degree of impurity comprises retrieving said degree of impurity from a database correlating said determined smallest size and said determined smallest amount of said single-size polymer with results of dry water-impurity analyses.

8. The method according to claim 1 , wherein said degree of impurity comprises a typical impurity particle size and a number of impurity particles per volume unit.

9. A method for impurity classifying of water used in a manufacturing process, comprising the steps of:

performing ( 250 ) a determining of a degree of impurity of water according to claim 1 for a calibration water sample having a known degree of impurity corresponding to an impurity limit for said manufacturing process;

defining ( 252 ) a threshold size and a threshold amount of said single-size polymer beads as said determined smallest size and said determined smallest amount of said single-size polymer, respectively, for said calibration water sample;

obtaining ( 260 ) a process water sample from water to be used in said manufacturing process;

adding ( 262 ) said threshold amount of said single-size polymer beads of said threshold size to said process water sample;

performing ( 264 ) a dynamic light scattering analysis of said process water sample with said single-size polymer beads added;

determining ( 266 ) if said added single-size polymer beads give rise to a detectable signal ( 44 ), discernible over a background noise level ( 42 ), in said size distribution curve ( 40 ) of said dynamic light scattering analysis; and

classifying ( 268 ) said process water sample to have an impurity level equal to or lower than said impurity limit if a signal ( 44 ) is detectable, and classifying said process water sample to have an impurity level higher than said impurity limit if a signal ( 44 ) is not detectable.

10. The method according to claim 2 , wherein said detectable signal ( 44 ) is a signal discernible over a background noise level ( 42 ) at a size (S) corresponding to said added single-size polymer beads.

11. The method according to claim 2 , wherein said sizes of said single-size polymer beads are selected from a predetermined set of sizes.

12. The method according to claim 3 , wherein said sizes of said single-size polymer beads are selected from a predetermined set of sizes.

13. The method according to claim 10 , wherein said sizes of said single-size polymer beads are selected from a predetermined set of sizes.

14. The method according to claim 2 , wherein said single-size polymer beads comprise single-size polymer beads in the size range of 5-400 nm.

15. The method according to claim 3 , wherein said single-size polymer beads comprise single-size polymer beads in the size range of 5-400 nm.

16. The method according to claim 4 , wherein said single-size polymer beads comprise single-size polymer beads in the size range of 5-400 nm.

17. The method according to claim 10 , wherein said single-size polymer beads comprise single-size polymer beads in the size range of 5-400 nm.

18. The method according to claim 11 , wherein said single-size polymer beads comprise single-size polymer beads in the size range of 5-400 nm.

19. The method according to claim 12 , wherein said single-size polymer beads comprise single-size polymer beads in the size range of 5-400 nm.

20. The method according to claim 2 , wherein said single-size polymer beads are single-sized latex beads.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 5, 2022
From: NASLUND, HARALD
To: NANOSIZED SWEDEN AB
Reel/Frame 058559/0802 →
Priority Claims (1)
SE 1950577-5 · May 15, 2019 · national
Continuity (1)
Related Publication 20220244159A1 · Aug 4, 2022
References Cited (53)
US 4761074A · Kohsaka · 1988 [cited by examiner]
US 4794086A · Kasper · 1988 [cited by examiner]
US 4830494A · Ishikawa · 1989 [cited by examiner]
US 5576827A · Strickland et al. · 1996 [cited by applicant]
US 10955327B2 · Trainer · 2021 [cited by examiner]
US 11327007B2 · Erlich · 2022 [cited by examiner]
US 11346760B1 · Werk · 2022 [cited by examiner]
US 20090079981A1 · Holve · 2009 [cited by applicant]
US 20090091757A1 · Yang · 2009 [cited by applicant]
US 20090183554A1 · Grant et al. · 2009 [cited by applicant]
US 20090251696A1 · McNeil-Watson et al. · 2009 [cited by applicant]
US 20090323061A1 · Novotny et al. · 2009 [cited by applicant]
US 20100007879A1 · Mavliev · 2010 [cited by applicant]
US 20100031734A1 · Zhang et al. · 2010 [cited by applicant]
US 20100035235A1 · Gabriel · 2010 [cited by applicant]
US 20100231909A1 · Trainer · 2010 [cited by examiner]
US 20110135061A1 · Thunemann · 2011 [cited by applicant]
US 20130122538A1 · Maurer et al. · 2013 [cited by applicant]
US 20140152978A1 · Carr et al. · 2014 [cited by applicant]
US 20160202164A1 · Trainer · 2016 [cited by applicant]
US 20160290911A1 · Hole et al. · 2016 [cited by applicant]
US 20170003271A1 · Nadkarmi et al. · 2017 [cited by applicant]
US 20170074768A1 · Moitzi et al. · 2017 [cited by applicant]
US 20180266931A1 · Corbett et al. · 2018 [cited by applicant]
US 20180313737A1 · Moitzi · 2018 [cited by applicant]
US 20190011398A1 · Miller · 2019 [cited by examiner]
US 20200341382A1 · Kamimura · 2020 [cited by examiner]
US 20210149361A1 · Jungbauer et al. · 2021 [cited by applicant]
US 20210190661A1 · Hayashi · 2021 [cited by examiner]
US 20220207696A1 · Jain · 2022 [cited by examiner]
CN 101699265 · 2010 [cited by applicant]
CN 102066901 · 2011 [cited by applicant]
CN 102203587 · 2011 [cited by applicant]
CN 103398981 · 2013 [cited by applicant]
CN 105203482 · 2015 [cited by applicant]
CN 105765364 · 2016 [cited by applicant]
CN 107257919 · 2017 [cited by applicant]
CN 108291861 · 2018 [cited by applicant]
CN 109313419 · 2019 [cited by applicant]
JP 2014521967 · 2014 [cited by applicant]
JP 2018132505 · 2018 [cited by applicant]
JP 2019020173 · 2019 [cited by applicant]
WO 2006132242 · 2006 [cited by applicant]
“Review of nanoparticles in ultrapure water: definitions and current metrologies of detection and control” by M. P. Herrling and P. Rychen, in Ultrapure micro, vol. 1 No. 1, Nov. 30, 2017, pp. 34-43. [cited by applicant]
International Search Report issued in PCT/SE2020/050492 dated May 29, 2020. [cited by applicant]
Huang et al., “Particle size distribution of alcohol content-reduced Baijiu determined by dynamic light scattering,” Innovation and Knowledge Transfer, vol. 37, No. 12, pp. 143-147 (2018). [cited by applicant]
Lou, “Particle Sizing by a DLS System based on Single-mode Fibers,” The Journal of Light Scatttering, vol. 21, No. 3, pp. 216-220 (2009). [cited by applicant]
Mahdian Asl and Dorranian, “Effect of liquid medium temperature on the production rate and quality of graphene nanosheets produced by laser ablation,” Opt. Quant. Electron, 48:535, 12 pages (2016). [cited by applicant]
Sang et al., “Study on Properties of Light Scattering Based on Mie Scattering Theory for Suspended Particles in Water,” Laser & Optoelectronics Progress, 52, 8 pages (2015). [cited by applicant]
Shanqiong, “Development of dynamic light scattering measurement system based on photon correlation spectroscopy,” Journal of Electronic Measurement and Instrument, vol. 27, No. 3, pp. 205-210 (2013). [cited by applicant]
Zhou et al., “Influence of Impurities in Ultrapure Water on Nano-particles Size Determining by Photon Correlation Spectroscopy,” China Academic Journal Electronic Publishing House, 14:3, 4 pages (2008). [cited by applicant]
Supandi et al., “Isotopically Labeled Nanoparticles at Relevant Concentrations: How Low Can We Go? The Case of CdSe/ZnS in Surface Waters,” Environ. Sci. Technol., 53, pp. 2586-2594 (2019). [cited by applicant]
Zhang et al., “Detection of engineered nanoparticles in aquatic environments: current status and challenges in enrichment, separation and analysis,” Environ. Sci.: Nano, 27 pages (2019). [cited by applicant]