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Development of multispectral imaging algorithm for detection of frass on mature red tomatoes
Yang, Chun-Chieh,Kim, Moon S.,Millner, Patricia,Chao, Kuanglin,Cho, Byoung-Kwan,Mo, Changyeun,Lee, Hoyoung,Chan, Diane E. Elsevier 2014 Postharvest biology and technology Vol.93 No.-
In this research, a multispectral fluorescence-based imaging algorithm was developed to detect frass contamination on mature Campari tomatoes. Tomato images were acquired using a hyperspectral fluorescence line-scan imaging system with violet LED excitation, then analyzed for wavelength selection. The fluorescence intensities at five wavelengths, 515 nm, 640 nm, 664 nm, 690 nm, and 724 nm, were used to compute three simple ratio functions to detect frass contamination. The contamination spots were created on the tomato surfaces using four low-concentration frass dilutions. The algorithms detected over 99% of the 0.2 kg/L and 0.1 kg/L frass contamination spots and successfully differentiated these spots from tomato skin surfaces, stem scars, and stems. However, differentiation of the 0.05 kg/L and 0.02 kg/L frass contamination spots was more difficult. Adjusting the algorithm to successfully detect 95% of the 0.05 kg/L spots also resulted in false-positive pixel detections occurring on 28% of the tomatoes. This study demonstrates that a simple multispectral fluorescence imaging algorithm based on violet LED excitation could be useful for rapid postharvest detection of frass contamination on tomatoes in processing lines. (C) 2014 Published by Elsevier B.V.
Evaluation of SERS Nanoparticles to Detect Bacillus cereus and Bacillus thuringiensis
홍지화,Jianwei Qin,Jo Ann S. Van Kessel,오미래,Sagar Dhakal,이훈수,황찬송,Diane E. Chan,김동호,조현정,Moon S. Kim 한국농업기계학회 2018 바이오시스템공학 Vol.43 No.4
Purpose: This research evaluated five types of nanoparticles to develop a surface-enhanced Raman spectroscopy (SERS) method for the rapid detection of two Bacillus species (Bacillus cereus and Bacillus thuringiensis) that are commonly found on fresh produce, which can cause food poisoning. Methods: Bacterial concentrations were adjusted to a constant turbidity, and a total of 30 μL of each Bacillus cell suspension was prepared for each nanoparticle. A point-scan Raman system with laser light source of wavelength 785 nm was used to obtain SERS data. Results: There was no qualitative difference in the SERS data of B. cereus and B. thuringiensis for any of the five nanoparticles. Three gold nanoparticles, stabilized in either citrate buffer or ethanol, showed subtle differences in Raman intensities of two Bacillus species at 877.7 cm-1. Conclusions: Among the three types of nanoparticles, the gold nanoparticles stabilized in citrate buffer showed the lowest standard deviation, followed by gold nanoparticles stabilized in ethanol. This result supports the potential application of gold nanoparticles for SERS-based detection of B. cereus and B. thuringiensis.
Evaluation of SERS Nanoparticles to Detect Bacillus cereus and Bacillus thuringiensis
( Jeehwa Hong ),( Jianwei Qin ),( Jo Ann S. Van Kessel ),( Mirae Oh ),( Sagar Dhakal ),( Hoonsoo Lee ),( Chansong Hwang ),( Diane E. Chan ),( Dongho Kim ),( Hyunjeong Cho ),( Moon S. Kim ) 한국농업기계학회 2018 바이오시스템공학 Vol.43 No.4
Purpose: This research evaluated five types of nanoparticles to develop a surface-enhanced Raman spectroscopy (SERS) method for the rapid detection of two Bacillus species (Bacillus cereus and Bacillus thuringiensis) that are commonly found on fresh produce, which can cause food poisoning. Methods: Bacterial concentrations were adjusted to a constant turbidity, and a total of 30 μL of each Bacillus cell suspension was prepared for each nanoparticle. A point-scan Raman system with laser light source of wavelength 785 nm was used to obtain SERS data. Results: There was no qualitative difference in the SERS data of B. cereus and B. thuringiensis for any of the five nanoparticles. Three gold nanoparticles, stabilized in either citrate buffer or ethanol, showed subtle differences in Raman intensities of two Bacillus species at 877.7 cm-1. Conclusions: Among the three types of nanoparticles, the gold nanoparticles stabilized in citrate buffer showed the lowest standard deviation, followed by gold nanoparticles stabilized in ethanol. This result supports the potential application of gold nanoparticles for SERS-based detection of B. cereus and B. thuringiensis.
Evaluation of SERS Nanoparticles to Detect Bacillus cereus and Bacillus thuringiensis
Hong, Jeehwa,Qin, Jianwei,Van Kessel, Jo Ann S.,Oh, Mirae,Dhakal, Sagar,Lee, Hoonsoo,Hwang, Chansong,Chan, Diane E.,Kim, Dongho,Cho, Hyunjeong,Kim, Moon S. Korean Society for Agricultural Machinery 2018 바이오시스템공학 Vol.43 No.4
Purpose: This research evaluated five types of nanoparticles to develop a surface-enhanced Raman spectroscopy (SERS) method for the rapid detection of two Bacillus species (Bacillus cereus and Bacillus thuringiensis) that are commonly found on fresh produce, which can cause food poisoning. Methods: Bacterial concentrations were adjusted to a constant turbidity, and a total of $30{\mu}L$ of each Bacillus cell suspension was prepared for each nanoparticle. A point-scan Raman system with laser light source of wavelength 785 nm was used to obtain SERS data. Results: There was no qualitative difference in the SERS data of B. cereus and B. thuringiensis for any of the five nanoparticles. Three gold nanoparticles, stabilized in either citrate buffer or ethanol, showed subtle differences in Raman intensities of two Bacillus species at $877.7cm^{-1}$. Conclusions: Among the three types of nanoparticles, the gold nanoparticles stabilized in citrate buffer showed the lowest standard deviation, followed by gold nanoparticles stabilized in ethanol. This result supports the potential application of gold nanoparticles for SERS-based detection of B. cereus and B. thuringiensis.