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    Computer vision approach for the determination of microbial concentration and growth kinetics using a low cost sensor system

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    The measurement of microbial contamination is of primary importance in different fields, from environmental monitoring to food safety and clinical analysis. Today, almost all microbiology laboratories make microbial concentration measurements using the standard Plate Count Technique (PCT), a manual method that must be performed by trained personnel. Since manual PCT analysis can result in eye fatigue and errors, in particular when hundreds of samples are processed every day, automatic colony counters have been built and are commercially available. While quick and reliable, these instruments are generally expensive, thus, portable colony counters based on smartphones have been developed and are of low cost but also not accurate as the commercial benchtop instruments. In this paper, a novel computer vision sensor system is presented that can measure the microbial concentration of a sample under test and also estimate the microbial growth kinetics by monitoring the colonies grown on a Petri dish at regular time intervals. The proposed method has been in-house validated by performing PCT analysis in parallel under the same conditions and using these results as a reference. All the measurements have been carried out in a laboratory using benchtop instruments, however, such a system can also be realized as an embedded sensor system to be deployed for microbial analysis outside a laboratory environment

    ๋‚˜๋…ธ๋””์Šคํฌ ๋ฐ ๋‚˜๋…ธ๋ฒ ์ง€ํด์— ๋‚ด์žฅ๋œ ํ›„๊ฐ ์ˆ˜์šฉ์ฒด์˜ ์ตœ์ ์˜ ์ƒ์‚ฐ๊ณผ ๋ƒ„์ƒˆ์˜ ํŒจํ„ด ๋ฐ ์‹œ๊ฐํ™”์— ๋Œ€ํ•œ ์‘์šฉ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ํ™”ํ•™์ƒ๋ฌผ๊ณตํ•™๋ถ€, 2022. 8. ๋ฐ•ํƒœํ˜„.G protein-coupled receptors (GPCRs) are the most intensively studied for screening drug targets. Especially, class A GPCR including olfactory receptor (OR) which accounts for about 85 % of GPCR family is more important for codifying and screening target receptors. There are about 400 kinds of ORs in human olfactory system. The interactions between ORs and odorants generate signals which are transferred to brain as combinatorial codes. Humans can discriminate more than 1 trillion olfactory stimuli with a limited number of ORs because of widespread OR-driven modulation such as inhibition and enhancement in peripheral olfactory coding. Since the sense of smell perceives the complex external world as a pattern, many studies have been conducted to mimic the response of ORs. In particular, protein-based nanobiosensor is expected as a platform to mimic the olfaction because it has advantages such as mass production, ease of reuse, and low cost. However, reconstitution of the structure of GPCRs is challenging because almost all GPCRs produced in E. coli system are expressed as inclusion bodies. For this reason, reconstitution techniques have been developed to recover the functionality of GPCRs, such as the use of detergent micelles, nanovesicles, bicelles and nanodiscs (NDs). Among these materials, NDs have been considered the most effective reconstitution material because of their stability in various environments and their functional lifetimes. In this thesis, ORs were produced in E. coli system with high productivity and reconstituted to ND or nanovesicle forms. Then the functional reconstituted ORs were applied to monitoring meat freshness/spoilage, disease diagnosis and practical colorimetric sensor. First, OR was overexpressed by coexpressing effector genes, such as djlA, the membrane-bound DnaK cochaperone, and rraA, inhibitor of the mRNA-degrading activity of E. coli RNase E. The E. coli strains coexpressing DjlA or RraA suppressed protein-induced toxicity and overexpressed the ORs. By controlling the molar ratio of OR, membrane scaffold protein, and phospholipid, ND of appropriate size were made, and high-purity ND could be purified. OR-embedded NDs showed stability to various temperature and storage time. Second, Human ORs which bind to gastric cancer and halitosis biomarkers were successfully reconstituted to ND form and purified. The NDs had various patterns to artificial saliva samples because NDs had various binding affinities to target molecules. Through principal component analysis of various patterns for artificial saliva samples, it was possible to distinguish between healthy control samples and patient samples. Third, trace amine-associated receptors (TAARs), TAAR13c and TAAR13d, were successfully overexpressed in E. coli system and reconstituted to ND form. These NDs were utilized for development of ND-based BE-nose for monitoring meat freshness. The ND-based BE-noses was successfully performed towards diverse on-site and the various real samples and could be used to monitor freshness of meat. Lastly, human OR1A2 (hOR1A2) was reconstituted into detergent micelle and it was used for development of colorimetric sensor detecting geraniol. Polydiacetylene (PDA) was used as secondary transducer for visualization of responses of OR. The structural and functional properties of the hOR1A2 were maintained when it was embedded in PDA/lipid nanovesicles. The hOR1A2 embedded in PDA/lipid nanovesicle caused a color transition from blue to purple when it reacted with geraniol, whereas there was no color transition when it reacted with other molecules. In this study, various ORs were successfully reconstituted with ND or nanovesicles. The reconstructed OR is expected to be applied to food freshness monitoring, disease diagnosis by pattern analysis, and practical colorimetric sensors.G ๋‹จ๋ฐฑ์งˆ ์—ฐ๊ฒฐ ์ˆ˜์šฉ์ฒด (GPCR)๋Š” ์•ฝ๋ฌผ ํ‘œ์  ์Šคํฌ๋ฆฌ๋‹์„ ์œ„ํ•ด ๊ฐ€์žฅ ์ง‘์ค‘์ ์œผ๋กœ ์—ฐ๊ตฌ๋˜๋Š” ๋‹จ๋ฐฑ์งˆ์ด๋‹ค. ํŠนํžˆ, GPCR ๊ณ„์—ด์˜ ์•ฝ 85%๋ฅผ ์ฐจ์ง€ํ•˜๋Š” ํ›„๊ฐ ์ˆ˜์šฉ์ฒด (OR)๋ฅผ ํฌํ•จํ•˜๋Š” ํด๋ž˜์Šค A GPCR์€ ํ‘œ์  ์ˆ˜์šฉ์ฒด๋ฅผ ์ฝ”๋“œํ™”ํ•˜๊ณ  ์Šคํฌ๋ฆฌ๋‹ํ•˜๋Š” ๋ฐ ๋” ์ค‘์š”ํ•˜๋‹ค. ์ธ๊ฐ„์˜ ํ›„๊ฐ ์‹œ์Šคํ…œ์—๋Š” ์•ฝ 400 ์ข…๋ฅ˜์˜ OR์ด ์žˆ๋‹ค. OR๊ณผ ๋ƒ„์ƒˆ ๋ฌผ์งˆ ์‚ฌ์ด์˜ ์ƒํ˜ธ ์ž‘์šฉ์€ ํŒจํ„ด์˜ ์กฐํ•ฉ์œผ๋กœ ๋‡Œ์— ์ „๋‹ฌ๋˜๋Š” ์‹ ํ˜ธ๋ฅผ ์ƒ์„ฑํ•œ๋‹ค. ์ธ๊ฐ„์€ ๋ง์ดˆ ํ›„๊ฐ ์ฝ”๋”ฉ์˜ ์–ต์ œ ๋ฐ ํ–ฅ์ƒ๊ณผ ๊ฐ™์€ ๊ด‘๋ฒ”์œ„ํ•œ OR์— ์˜ํ•œ ์กฐ์ ˆ๋กœ ์ธํ•ด ์ œํ•œ๋œ ์ˆ˜์˜ OR๋กœ๋„ 1์กฐ๊ฐœ ์ด์ƒ์˜ ํ›„๊ฐ ์‹ ํ˜ธ๋ฅผ ๊ตฌ๋ณ„ํ•  ์ˆ˜ ์žˆ๋‹ค. ํ›„๊ฐ์€ ๋ณต์žกํ•œ ์™ธ๋ถ€ ์„ธ๊ณ„๋ฅผ ํŒจํ„ด์œผ๋กœ ์ธ์‹ํ•˜๊ธฐ ๋•Œ๋ฌธ์— OR์˜ ๋ฐ˜์‘์„ ๋ชจ๋ฐฉํ•˜๊ธฐ ์œ„ํ•ด ๋งŽ์€ ์—ฐ๊ตฌ๊ฐ€ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ํŠนํžˆ, ๋‹จ๋ฐฑ์งˆ ๊ธฐ๋ฐ˜ ๋‚˜๋…ธ๋ฐ”์ด์˜ค์„ผ์„œ๋Š” ์–‘์‚ฐ์„ฑ, ์žฌ์‚ฌ์šฉ ์šฉ์ด์„ฑ, ์ €๋น„์šฉ ๋“ฑ์˜ ์žฅ์ ์ด ์žˆ์–ด ํ›„๊ฐ์„ ๋ชจ๋ฐฉํ•˜๋Š” ํ”Œ๋žซํผ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ GPCR ๊ตฌ์กฐ์˜ ์žฌ๊ตฌ์„ฑ์€ ๋Œ€์žฅ๊ท  ์‹œ์Šคํ…œ์—์„œ ์ƒ์„ฑ๋˜๋Š” ๊ฑฐ์˜ ๋ชจ๋“  GPCR์ด ๋ด‰์ž…์ฒด๋กœ ๋ฐœํ˜„๋˜๊ธฐ ๋•Œ๋ฌธ์— ์–ด๋ ค์šด ์ผ์ด๋‹ค. ์ด๋Ÿฌํ•œ ์ด์œ ๋กœ ์„ธ์ œ ๋ฏธ์…€, ๋‚˜๋…ธ๋ฒ ์ง€ํด, ๋ฐ”์ด์…€ ๋ฐ ๋‚˜๋…ธ๋””์Šคํฌ (ND)์™€ ๊ฐ™์€ GPCR์˜ ๊ธฐ๋Šฅ์„ ๋ณต๊ตฌํ•˜๊ธฐ ์œ„ํ•œ ์žฌ๊ตฌ์„ฑ ๊ธฐ์ˆ ์ด ๊ฐœ๋ฐœ๋˜์—ˆ๋‹ค. ์ด๋“ค ๋ฌผ์งˆ ์ค‘ ND๋Š” ๋‹ค์–‘ํ•œ ํ™˜๊ฒฝ์—์„œ์˜ ์•ˆ์ •์„ฑ๊ณผ ๊ธฐ๋Šฅ์  ์ˆ˜๋ช… ๋•Œ๋ฌธ์— ๊ฐ€์žฅ ํšจ๊ณผ์ ์ธ ์žฌ๊ตฌ์„ฑ ๋ฌผ์งˆ๋กœ ์—ฌ๊ฒจ์ ธ ์™”๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋Œ€์žฅ๊ท  ์‹œ์Šคํ…œ์—์„œ ๋†’์€ ์ƒ์‚ฐ์„ฑ์œผ๋กœ OR์„ ์ƒ์‚ฐํ•˜์—ฌ ๋‚˜๋…ธ๋””์Šคํฌ ๋˜๋Š” ๋‚˜๋…ธ๋ฒ ์ง€ํด ํ˜•ํƒœ๋กœ ๊ตฌ์กฐ๋ฅผ ์žฌ๊ตฌ์„ฑํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฐ ๋‹ค์Œ ๊ธฐ๋Šฅ์ ์œผ๋กœ ์žฌ๊ตฌ์„ฑ๋œ OR์„ ์œก๋ฅ˜ ์‹ ์„ ๋„/๋ถ€ํŒจ ๋ชจ๋‹ˆํ„ฐ๋ง, ์งˆ๋ณ‘ ์ง„๋‹จ ๋ฐ ์‹ค์šฉ์ ์ธ ๋น„์ƒ‰ ์„ผ์„œ์— ์ ์šฉํ–ˆ๋‹ค. ์ฒซ์งธ, OR์€ djlA, ๋ง‰ ๊ฒฐํ•ฉ DnaK cochaperone ๋ฐ rraA, E. coli RNase E์˜ mRNA ๋ถ„ํ•ด ํ™œ์„ฑ ์–ต์ œ์ œ์™€ ๊ฐ™์€ ์ดํŽ™ํ„ฐ ์œ ์ „์ž๋ฅผ ๊ณต๋™ ๋ฐœํ˜„ํ•จ์œผ๋กœ์จ ๊ณผ๋ฐœํ˜„๋˜์—ˆ๋‹ค. DjlA ๋˜๋Š” RraA๋ฅผ ๊ณต๋™ ๋ฐœํ˜„ํ•˜๋Š” ๋Œ€์žฅ๊ท  ๊ท ์ฃผ๋Š” ๋‹จ๋ฐฑ์งˆ ๋ฐœํ˜„์— ์˜ํ•œ ๋…์„ฑ์„ ์–ต์ œํ•˜๊ณ  ํ›„๊ฐ ์ˆ˜์šฉ์ฒด๋ฅผ ๊ณผ๋ฐœํ˜„ํ–ˆ์Šต๋‹ˆ๋‹ค. ํ›„๊ฐ ์ˆ˜์šฉ์ฒด, ๋ง‰ ์ง€์ง€์ฒด ๋‹จ๋ฐฑ์งˆ, ์ธ์ง€์งˆ์˜ ๋ชฐ๋น„๋ฅผ ์กฐ์ ˆํ•˜์—ฌ ์ ์ ˆํ•œ ํฌ๊ธฐ์˜ ND๋ฅผ ๋งŒ๋“ค๊ณ  ๊ณ ์ˆœ๋„ ND๋ฅผ ์ •์ œํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ํ›„๊ฐ ์ˆ˜์šฉ์ฒด๊ฐ€ ๋‚ด์žฅ๋œ ND๋Š” ๋‹ค์–‘ํ•œ ์˜จ๋„ ๋ฐ ๋ณด๊ด€ ์‹œ๊ฐ„์— ๋Œ€ํ•ด ์•ˆ์ •์„ฑ์„ ๋ณด์˜€๋‹ค. ๋‘˜์งธ, ์œ„์•” ๋ฐ ๊ตฌ์ทจ ๋ฐ”์ด์˜ค๋งˆ์ปค์— ๊ฒฐํ•ฉํ•˜๋Š” ์ธ๊ฐ„ OR์€ ND ํ˜•ํƒœ๋กœ ์„ฑ๊ณต์ ์œผ๋กœ ์žฌ๊ตฌ์„ฑ๋˜๊ณ  ์ •์ œ๋˜์—ˆ๋‹ค. ND๋Š” ํ‘œ์  ๋ถ„์ž์— ๋Œ€ํ•œ ๋‹ค์–‘ํ•œ ๊ฒฐํ•ฉ ์นœํ™”์„ฑ์„ ๊ฐ€์กŒ๊ธฐ ๋•Œ๋ฌธ์— ์ธ๊ณต ํƒ€์•ก ์ƒ˜ํ”Œ์— ๋Œ€ํ•œ ๋‹ค์–‘ํ•œ ํŒจํ„ด์„ ๊ฐ€์กŒ๋‹ค. ์ธ๊ณต ํƒ€์•ก ์ƒ˜ํ”Œ์— ๋Œ€ํ•œ ๋‹ค์–‘ํ•œ ํŒจํ„ด์˜ ์ฃผ์„ฑ๋ถ„ ๋ถ„์„์„ ํ†ตํ•ด ๊ฑด๊ฐ•ํ•œ ๋Œ€์กฐ๊ตฐ ์ƒ˜ํ”Œ๊ณผ ํ™˜์ž ์ƒ˜ํ”Œ์„ ๊ตฌ๋ณ„ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์…‹์งธ, ๋ฏธ๋Ÿ‰ ์•„๋ฏผ ๊ด€๋ จ ์ˆ˜์šฉ์ฒด (TAAR), TAAR13c ๋ฐ TAAR13d๊ฐ€ ๋Œ€์žฅ๊ท  ์‹œ์Šคํ…œ์—์„œ ์„ฑ๊ณต์ ์œผ๋กœ ๊ณผ๋ฐœํ˜„๋˜์—ˆ๊ณ  ND ํ˜•ํƒœ๋กœ ์žฌ๊ตฌ์„ฑ๋˜์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ND๋Š” ์œก๋ฅ˜ ์‹ ์„ ๋„๋ฅผ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๊ธฐ ์œ„ํ•œ ND ๊ธฐ๋ฐ˜ ์ „์ž ์ฝ”์˜ ๊ฐœ๋ฐœ์— ํ™œ์šฉ๋˜์—ˆ๋‹ค. ND ๊ธฐ๋ฐ˜ ์ „์ž ์ฝ”๋Š” ๋‹ค์–‘ํ•œ ํ˜„์žฅ ๋ฐ ์‹ค์ œ ์ƒ˜ํ”Œ์— ์„ฑ๊ณต์ ์œผ๋กœ ์ž‘๋™๋˜์—ˆ์œผ๋ฉฐ ์œก๋ฅ˜์˜ ์‹ ์„ ๋„๋ฅผ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์ธ๊ฐ„ OR1A2 (hOR1A2)๋ฅผ ์„ธ์ œ ๋ฏธ์…€๋กœ ์žฌ๊ตฌ์„ฑํ•˜์—ฌ ์ œ๋ผ๋‹ˆ์˜ฌ์„ ๊ฐ์ง€ํ•˜๋Š” ๋น„์ƒ‰ ์„ผ์„œ ๊ฐœ๋ฐœ์— ํ™œ์šฉํ•˜์˜€๋‹ค. ํด๋ฆฌ๋‹ค์ด์•„์„ธํ‹ธ๋ Œ (PDA)์€ ํ›„๊ฐ ์ˆ˜์šฉ์ฒด์˜ ๋ฐ˜์‘์„ ์‹œ๊ฐํ™”ํ•˜๊ธฐ ์œ„ํ•œ 2์ฐจ ๋ณ€ํ™˜๊ธฐ๋กœ ์‚ฌ์šฉ๋˜์—ˆ๋‹ค. hOR1A2์˜ ๊ตฌ์กฐ์  ๋ฐ ๊ธฐ๋Šฅ์  ํŠน์„ฑ์€ PDA/์ง€์งˆ ๋‚˜๋…ธ๋ฒ ์ง€ํด์— ๋‚ด์žฅ๋˜์—ˆ์„ ๋•Œ ์œ ์ง€๋˜์—ˆ๋‹ค. PDA/์ง€์งˆ ๋‚˜๋…ธ๋ฒ ์ง€ํด์— ๋‚ด์žฅ๋œ hOR1A2๊ฐ€ geraniol๊ณผ ๋ฐ˜์‘ํ•  ๋•Œ ํŒŒ๋ž€์ƒ‰์—์„œ ๋ณด๋ผ์ƒ‰์œผ๋กœ ์ƒ‰์ƒ ์ „์ด๋ฅผ ์ผ์œผํ‚จ ๋ฐ˜๋ฉด ๋‹ค๋ฅธ ๋ถ„์ž์™€ ๋ฐ˜์‘ํ•  ๋•Œ๋Š” ์ƒ‰์ƒ ์ „์ด๊ฐ€ ์—†์—ˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹ค์–‘ํ•œ OR์ด ND ๋˜๋Š” ๋‚˜๋…ธ๋ฒ ์ง€ํด๋กœ ์„ฑ๊ณต์ ์œผ๋กœ ์žฌ๊ตฌ์„ฑ๋˜์—ˆ๋‹ค. ์žฌ๊ตฌ์„ฑ๋œ OR์€ ์‹ํ’ˆ ์‹ ์„ ๋„ ๋ชจ๋‹ˆํ„ฐ๋ง, ํŒจํ„ด ๋ถ„์„์— ์˜ํ•œ ์งˆ๋ณ‘ ์ง„๋‹จ ๋ฐ ์‹ค์šฉ์ ์ธ ๋น„์ƒ‰ ์„ผ์„œ์— ์ ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๊ฐ€ ๋œ๋‹ค.Chapter 1 Research background and objective 15 Chapter 2 Literature review 20 2.1 Olfaction 22 2.1.1 Olfactory system 21 2.1.2 Olfactory receptors 25 2.1.3 Patterns of odorants 29 2.2 Nanobiosensor 32 2.2.1 Nanobiosensor system 32 2.2.2 Components for the nanobiosensor 35 2.2.3 Nanobiosensor detecting smell 37 2.3 Biomarkers in disease and food spoilage 44 2.3.1 Gastric cancer 44 2.3.2 Halitosis 47 2.3.3 Meat spoilage 49 2.4 Expression of GPCR in E. coli system 50 Chapter 3 Experimental procedures 52 3.1 Materials 53 3.2 Gene Cloning . 54 3.3 Expression 54 3.3.1 Expression of olfactory receptors in E. coli. 54 3.3.2 Expression of membrane scaffold protein in E. coli 56 3.3.3 Expression of olfactory receptors in HEK-293T cell 57 3.4 Purification. 57 3.4.1 Purification of olfactory receptors. 57 3.4.2 Purification of membrane scaffold protein 58 3.5 Functional reconstitution of olfactory receptors 59 3.5.1 Nanodisc 59 3.5.2 Detergent micelle. 60 3.5.3 Polydiacetylene/Lipid nanovesicle 61 3.6 Characterization . 61 3.6.1 Nano-glo dual luciferase assay 61 3.6.2 SDS-PAGE analysis 62 3.6.3 Dynamic light scattering 63 3.6.4 Circular dichroism . 63 3.6.5 Tryptophan fluorescence quenching assay 63 3.7 Immobilization of olfactory receptor-embedded nanodisc on graphene 64 Chapter 4 Enhancement of olfactory receptor production in E. coli system and characterization of olfactory receptor-embedded nanodiscs. 66 4.1 Introduction 67 4.2 Expression and purification of olfactory receptor in E. coli system 69 4.3 Purification and size analysis of olfactory receptor-embedded nanodiscs. 73 4.4 Stability of immobilized olfactory receptor-embedded nanodiscs. 77 4.5 Conclusions 82 Chapter 5 Development of nanodisc-based bioelectronic nose using trace amine-associated receptors for monitoring meat freshness/spoilage . 84 5.1 Introduction 85 5.2 Characterization of TAARs 87 5.3 Performance of nanodisc-based bioelectronic nose in the liquid phase. 91 5.4 Gas sensing performance of bioelectronic nose and its application to meat spoilage 97 5.5 Measurements of real samples using TAAR nanodisc-based bioelectronic nose 99 5.6 Conclusions 104 Chapter 6 Pattern analysis for gastric cancer biomarkers using human olfactory receptor-embedded nanodiscs . 105 6.1 Introduction 106 6.2 Affinities of human olfactory receptor-embedded nanodiscs to gastric cancer biomarkers 108 6.3 Patterns for gastric cancer biomarkers in artificial saliva 112 6.4 Principal component analysis for artificial saliva samples 115 6.5 Conclusions 117 Chapter 7 Pattern analysis for halitosis biomarkers in artificial saliva using olfactory receptor-embedded nanodiscs 118 7.1 Introduction 119 7.2 Characterization of olfactory receptor-embedded nanodiscs. 120 7.3 Patterns for halitosis biomarkers in artificial saliva. 122 7.4 Principal component analysis for artificial saliva samples 125 7.5 Conclusions 127 Chapter 8 Visual detection of geraniol using human olfactory receptor embedded in polydiacetylene/lipid nanovesicle 128 8.1 Introduction 129 8.2 Functionality of hOR1A2 embedded in detergent micelle and PDA/lipid nanovesicle. 130 8.3 Structural assay of hOR1A2 embedded in detergent micelle and PDA/lipid nanovesicle. 133 8.4 Size analysis and morphology of hOR1A2 embedded in PDA/lipid nanovesicle. 135 8.5 Photoluminescence intensity of hOR1A2 embedded in PDA/lipid nanovesicle. 137 8.6 Conclusions 141 Chapter 9 Overall discussion and further suggestions. 142 Bibliography . 147 ๊ตญ๋ฌธ์ดˆ๋ก 157๋ฐ•

    Using functionalized nanoparticles as sensors for rapid monitoring of drinking water quality

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    In this thesis, filed-deployable nano sensors for onsite detection of nitrite and microorganisms were developed. The colorimetric nitrite ion sensor was designed utilizing 4-aminothiophenol (4-ATP) modified gold nanorods (GNR). In the presence of nitrite ions, the deamination reaction was induced by heating the 4-ATP modified GNR in ethanol solution, resulting in the reduction of the GNR surface charges, which led to aggregation of GNRs and a colorimetric response that was quantitatively correlated to the concentration of nitrite ions. This simple assay was rapid (less than 10 minutes) and highly sensitive (\u3c 1 ppm of nitrite), it can be used for rapid monitoring of drinking water quality. Anisotropic nanoparticles (i.e., silver nanocubes, gold nanorods) based SERS molecular probe were also designed and fabricated for the rapid and specific detection of bacterial targets in a test-in-a-tube platform utilizing a novel dual-recognition mechanism. The probes were synthesized by covalently attaching Raman tags and bacteria-specific antibodies to the surface of silver nanocubes. Specific binding between the probes and bacterial targets ensured surface enhanced Raman spectroscopic (SERS) signatures of the targets to be observed alongside with the SERS signals of the Raman tags. The assessment through the dual signals (superimposed target and tag Raman signatures) established a specific recognition of the targets in a single step, no washing/separation steps were needed to separate target-bound probes from unbound ones, because unbound probes only yield tag signatures, and could easily be distinguished from the target-bound ones. The dual-recognition protocol implemented with a portable Raman spectrometer would become an easy-to-use, field-deployable spectroscopic sensor for onsite detection of pathogenic microorganisms

    Electrical Impedance Spectroscopy (EIS) characterization of saline solutions with a low-cost portable measurement system

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    Electrical Impedance Spectroscopy (EIS), a powerful technique used for wide range of applications, is usually carried out by means of benchtop instrumentation (LCR meters and รฌmpedance analyzers), not suited for in-the-field measurements performed outside a laboratory.In this paper a new portable electronic system for EIS on liquid and semi-liquid media is presented that is capable to produce an electrical fingerprint of the sample under investigation. The proposed system was used for the characterization of four different saline solutions (NaCl, Na2CO3, K2HPO4 and CuSO4). A multi-frequency approach, based on the measurement of maximum value of the impedance imaginary component and its corresponding frequency, was tested for the first time to discriminate different saline solutions. The results show that the proposed method is capable to discriminate the different solutions and to measure the concentration (R2โ€ฏ=โ€ฏ0.9965) independently of the type of saline solution. Keywords: Impedance Spectroscopy, Measurement, Frequency, Sensor, Portable syste

    Electroanalytical Sensors and Devices for Multiplexed Detection of Foodborne Pathogen Microorganisms

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    The detection and identification of pathogen microorganisms still rely on conventional culturing techniques, which are not suitable for on-site monitoring. Therefore, a great research challenge in this field is focused on the need to develop rapid, reliable, specific, and sensitive methods to detect these bacteria at low cost. Moreover, the growing interest in biochip development for large scale screening analysis implies improved miniaturization, reduction of analysis time and cost, and multi-analyte detection, which has nowadays become a crucial challenge. This paper reviews multiplexed foodborne pathogen microorganisms detection methods based on electrochemical sensors incorporating microarrays and other platforms. These devices usually involve antibody-antigen and DNA hybridization specific interactions, although other approaches such as the monitoring of oxygen consumption are also considered

    A multiplex self-referencing detection of pathogens using surface enhanced raman scattering nanoprobes with a nano-DEP microfluidic concentrator

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    In this dissertation, I successfully developed the multiplex self-referencing SERS pathogen (E.coli O157: H7) detection biosensor platform which offers high sensitivity (10^1 CFU/mL) and strain level discrimination by measuring the superimposed SERS signatures with multiple characteristic peaks. To harvest the effective Raman molecular probes, I developed methods to fabricate anisotropic metallic nanoparticles to serve as SERS enhancers, and more importantly, I developed surface modification methodology to add functionality to the SERS enhancers so that they can bind specifically to their pathogen targets for highly accurate and sensitive detection. Gold nanorods (GNRs) and gold/silver nanocages are successfully fabricated with high particle yield. Three highly effective linker molecules (4-Aminothiophenol (4-ATP), 3-Amino-1,2,4-triazole-5-thiol (ATT), and 3-Mercaptopropionic acid (3-MPA)) are identified and designed to conjugate on gold nanostructures, and then different monoclonal antibody molecules are designed to bond to the different linkers through diazo-histine binding (4-ATP and ATT) and EDC/NHS bonding (3-MPA-antibody). In addition, this platform demonstrated excellent separation and concentration capacities by using DEP microfluidic devices and further improves the sensitivity to 10^0 CFU/mL. The integration of microfluidic devices with SERS detection has yielded simple and miniaturized instrumentation that is suitable for the detection and characterization of small volume of chemical and biological analytes with high sensitivity and specificity. For data analysis, various preprocessing methods are used for spectral background removal, baseline correction, smoothing, and normalization. Principle Component Analysis (PCA) is applied to reduce the variable dimensions. A Support Vector Machine (SVM) discriminant analysis model based on statistical multivariate model is being developed for superimposed spectra classification. The validation of spectral classification model (target binding VS no target binding) is evaluated by the accuracy percentage, which is above 95%

    Smartphone as a Portable Detector, Analytical Device, or Instrument Interface

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    The Encyclopedia Britannia defines a smartphone as a mobile telephone with a display screen, at the same time serves as a pocket watch, calendar, addresses book and calculator and uses its own operating system (OS). A smartphone is considered as a mobile telephone integrated to a handheld computer. As the market matured, solid-state computer memory and integrated circuits became less expensive over the following decade, smartphone became more computer-like, and more more-advanced services, and became ubiquitous with the introduction of mobile phone networks. The communication takes place for sending and receiving photographs, music, video clips, e-mails and more. The growing capabilities of handheld devices and transmission protocols have enabled a growing number of applications. The integration of camera, access Wi-Fi, payments, augmented reality or the global position system (GPS) are features that have been used for science because the users of smartphone have risen all over the world. This chapter deals with the importance of one of the most common communication channels, the smartphone and how it impregnates in the science. The technological characteristics of this device make it a useful tool in social sciences, medicine, chemistry, detections of contaminants, pesticides, drugs or others, like so detection of signals or image

    The EcoChip : a wireless multi-sensor platform for comprehensive environmental monitoring

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    This paper presents the EcoChip, a new system based on state-of-the-art electro-chemical impedance (EIS) technologies allowing the growth of single strain organisms isolated from northern habitats. This portable system is a complete and autonomous wireless platform designed to monitor and cultivate microorganisms directly sampled from their natural environment, particularly from harsh northern environments. Using 96-well plates, the EcoChip can be used in the field for realtime monitoring of bacterial growth. Manufactured with highquality electronic components, this new EIS monitoring system is designed to function at a low excitation voltage signal to avoid damaging the cultured cells. The high-precision calibration network leads to high-precision results, even in the most limiting contexts. Luminosity, humidity and temperature can also be monitored with the addition of appropriate sensors. Access to robust data storage systems and power supplies is an obvious limitation for northern research. That is why the EcoChip is equipped with a flash memory that can store data over long periods of time. To resolve the power issue, a low-power microcontroller and a power management unit control and supply all electronic building blocks. Data stored in the EcoChipโ€™s flash memory can be transmitted through a transceiver whenever a receiver is located within the functional transmission range. In this paper, we present the measured performance of the system, along with results from laboratory tests in-vitro and from two field tests. The EcoChip has been utilized to collect bio-environemental data in the field from the northern soils and ecosystems of Kuujjuarapik and Puvirnituq, during two expeditions, in 2017 and 2018, respectively. We show that the EcoChip can effectively carry out EIS analyses over an excitation frequency ranging from 750 Hz to 10 kHz with an accuracy of 2.35%. The overall power consumption of the system was 140.4 mW in normal operating mode and 81 ยตW in sleep mode. The proper development of the isolated bacteria was confirmed through DNA sequencing, indicating that bacteria thrive in the EcoChipโ€™s culture wells while the growing conditions are successfully gathered and stored

    Integrated Electrochemical Biosensors for Detection of Waterborne Pathogens in Low-Resource Settings

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    More than 783 million people worldwide are currently without access to clean and safe water. Approximately 1 in 5 cases of mortality due to waterborne diseases involve children, and over 1.5 million cases of waterborne disease occur every year. In the developing world, this makes waterborne diseases the second highest cause of mortality. Such cases of waterborne disease are thought to be caused by poor sanitation, water infrastructure, public knowledge, and lack of suitable water monitoring systems. Conventional laboratory-based techniques are inadequate for effective on-site water quality monitoring purposes. This is due to their need for excessive equipment, operational complexity, lack of affordability, and long sample collection to data analysis times. In this review, we discuss the conventional techniques used in modern-day water quality testing. We discuss the future challenges of water quality testing in the developing world and how conventional techniques fall short of these challenges. Finally, we discuss the development of electrochemical biosensors and current research on the integration of these devices with microfluidic components to develop truly integrated, portable, simple to use and cost-effective devices for use by local environmental agencies, NGOs, and local communities in low-resource settings
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