Electronic Nose and GC-MS Analysis to Detect Mango Twig Tip Dieback in Mango (Mangifera indica) and Panama Disease (TR4) in Banana (Musa acuminata) DOI Creative Commons

Wathsala Ratnayake,

Stanley E. Bellgard, Hao Wang

и другие.

Chemosensors, Год журнала: 2024, Номер 12(7), С. 117 - 117

Опубликована: Июнь 24, 2024

Volatile organic compounds (VOCs), as a biological element released from plants, have been correlated with disease status. Although analysis of VOCs using GC-MS is routine procedure, it has limitations, including being time-consuming, laboratory-based, and requiring specialist training. Electronic nose devices (E-nose) provide portable rapid alternative. This the first pilot study exploring three types commercially available E-nose to assess how accurately they could detect mango twig tip dieback Panama in bananas. The were initially trained validated on known volatiles, then pure cultures Pantoea sp., Staphylococcus Fusarium odoratissimum, finally, infected healthy leaves field-collected, banana pseudo-stems. experiments repeated times six replicates for each host-pathogen pair. variation between host materials was evaluated inbuilt data methods, mainly by principal component (PCA) cross-validation. conducted contemporaneously identified an 80% similarity plant material. C 320 100% successful discriminating volatiles but had low capability differentiating substrates. advanced (PEN 3/MSEM 160) successfully detected diseased samples high variance. results suggest that E-noses are more sensitive accurate detecting changes plants compared headspace GC-MS. controlled laboratory conditions, highly surrounding volatiles.

Язык: Английский

Electronic Tongues and Noses: A General Overview DOI Creative Commons
Diego Alexander Tibaduiza Burgos, Maribel Anaya, Johan Gómez

и другие.

Biosensors, Год журнала: 2024, Номер 14(4), С. 190 - 190

Опубликована: Апрель 13, 2024

As technology advances, electronic tongues and noses are becoming increasingly important in various industries. These devices can accurately detect identify different substances gases based on their chemical composition. This be incredibly useful fields such as environmental monitoring industrial food applications, where the quality safety of products or ecosystems should ensured through a precise analysis. Traditionally, this task is performed by an expert panel using laboratory tests but sometimes becomes bottleneck because time other human factors that solved with technologies provided tongue nose devices. Additionally, these used medical diagnosis, monitoring, even automotive industry to gas leaks. The possibilities endless, continue improve, they will undoubtedly play role improving our lives ensuring safety. Because multiple applications developments field last years, work present overview from point view approaches developed methodologies data analysis steps aim. In same manner, shows some found use ends conclusions about current state technologies.

Язык: Английский

Процитировано

11

Electronic Nose and GC-MS Analysis to Detect Mango Twig Tip Dieback in Mango (<em>Mangifera indica</em>) and Panama Disease (TR4) in Banana (<em>Musa acuminata</em>) DOI Open Access

Wathsala Ratnayake,

Stanley E. Bellgard, Hao Wang

и другие.

Опубликована: Апрель 11, 2024

Volatile organic compounds (VOCs) released from plants have been correlated with disease-status. Analysis of VOCs using GC-MS is time-consuming, laboratory-based, and requires specialist training. Electronic nose devices (E-nose) provide a portable alternative. Three different E-nose were compared to assess how accurately they could detect Mango Twig Tip Dieback Panama disease in banana. The initially trained on known volatiles, then pure cultures Pantoea sp., Staphylococcus Fusarium odoratissimum, finally, infected healthy mango leaves field-collected, banana pseudo-stems. experiments repeated three times six replicates for each host-pathogen pair. variation between host materials was evaluated by principal component linear discriminant analysis, cross-validation chemometric data analysis. analysis conducted contemporaneously identified an 80% similarity plant material. C 320 100% successful discriminating volatiles but had low capability differentiating substrates. advanced (PEN 3 / MSEM 160) successfully detected diseased samples high variance. results suggest that are more sensitive accurate detecting changes headspace GC-MS.

Язык: Английский

Процитировано

3

Electronic Nose and GC-MS Analysis to Detect Mango Twig Tip Dieback in Mango (Mangifera indica) and Panama Disease (TR4) in Banana (Musa acuminata) DOI Creative Commons

Wathsala Ratnayake,

Stanley E. Bellgard, Hao Wang

и другие.

Chemosensors, Год журнала: 2024, Номер 12(7), С. 117 - 117

Опубликована: Июнь 24, 2024

Volatile organic compounds (VOCs), as a biological element released from plants, have been correlated with disease status. Although analysis of VOCs using GC-MS is routine procedure, it has limitations, including being time-consuming, laboratory-based, and requiring specialist training. Electronic nose devices (E-nose) provide portable rapid alternative. This the first pilot study exploring three types commercially available E-nose to assess how accurately they could detect mango twig tip dieback Panama in bananas. The were initially trained validated on known volatiles, then pure cultures Pantoea sp., Staphylococcus Fusarium odoratissimum, finally, infected healthy leaves field-collected, banana pseudo-stems. experiments repeated times six replicates for each host-pathogen pair. variation between host materials was evaluated inbuilt data methods, mainly by principal component (PCA) cross-validation. conducted contemporaneously identified an 80% similarity plant material. C 320 100% successful discriminating volatiles but had low capability differentiating substrates. advanced (PEN 3/MSEM 160) successfully detected diseased samples high variance. results suggest that E-noses are more sensitive accurate detecting changes plants compared headspace GC-MS. controlled laboratory conditions, highly surrounding volatiles.

Язык: Английский

Процитировано

0