แปลบทความวิจัยIn this study, Asperg

แปลบทความวิจัยIn this study, Aspergillus spp., common colonists in peanut, were characterized, classified and quantified using FTIR coupled with ATR accessory. FTIR-ATR spectral data of infected peanut samples were preprocessed (mean-centering, smoothing the 1st derivative), and used for the PLS regression analysis for quantitative results. Very high R2 values (96.20–99.98%) together with low error of RMSEC values (0.014–0.153 Log CFU/g of peanut) were obtained. Even, the spectrum of peanut matrix was dominant at early stages of invasion (≤2.5 Log CFU/g peanut), resulting in section separation (Nigri from Flavi) and at higher population (>4 Log CFU/g, species level separation (Aspergillus alliaceus, Aspergillus caelatus, Aspergillus flavus, Aspergillus parasiticus, and Aspergillus tamari) was observed. The accuracy of correct classification increased proportionally with fungal invasion level and 100% correct classification was reached when the cell level was Log CFU/g = 4.5–5. Samples with similar secondary metabolites (toxin producers) grouped close-by in PC score diagrams for all levels of fungal growth. Results highlight the possible implementation of FTIR-ATR model to detect infected peanuts even at early stages of invasion; besides, to prove the potential separation capability in terms of species and their secondary metabolites.

ผลลัพธ์ (อังกฤษ) 1:

In this study, research, articles, translations, Aspergillus spp., peanut, were characterized in common colonists, classified and quantified using FTIR ATR accessory coupled with spectral data of infected FTIR-ATR. peanut samples were preprocessed (mean-centering, smoothing the 1st derivative), for the PLS regression analysis and used for Very high R2 values results. quantitative (99.98% 96.20-) together with low error values of RMSEC (0.014 – 0.153 Log of peanut CFU/g) were obtained, Even the spectrum of peanut. matrix was dominant at early stages of invasion (≤ 2.5 Log CFU/g peanut), resulting in separation section (from Nigri Flavi) and at higher population (> 4 Log CFU/g, species level separation (Aspergillus alliaceus, Aspergillus flavus, Aspergillus parasiticus, Aspergillus caelatus, and Aspergillus tamari) was observed increased The accuracy of classification correct. proportionally with fungal invasion and 100% correct classification level was reached when the cell level was 4.5-5. CFU/g = Log Samples with similar secondary metabolites (toxin producers) grouped in close-by diagrams for all levels of PC score fungal growth. the possible implementation of Results highlight FTIR-ATR model to detect early stages of infected peanuts even at invasion; besides, the potential to prove separation capability in terms of species and their secondary metabolites.

ผลลัพธ์ (อังกฤษ) 2:

Microsoft Research In this study, Aspergillus spp., Common colonists in peanut, were characterized, classified and quantified using FTIR coupled with ATR accessory. FTIR-ATR spectral data of infected peanut samples were preprocessed (mean-centering, smoothing the 1st derivative). , and used for the PLS regression analysis for quantitative results. Very high R2 values ​​(96.20-99.98%) together with low error of RMSEC values ​​(0.014-0.153 Log CFU / g of peanut) were obtained. Even, the spectrum of peanut matrix. was dominant at early stages of invasion (≤2.5 Log CFU / g peanut), resulting in section separation (Nigri from Flavi) and at higher population (> 4 Log CFU / g, species level separation (Aspergillus alliaceus, Aspergillus caelatus, Aspergillus flavus. , Aspergillus parasiticus, and Aspergillus tamari) was observed. The accuracy of correct classification increased proportionally with fungal invasion level and 100% correct classification was reached when the cell level was Log CFU / g = 4.5-5. Samples with similar secondary metabolites (toxin. producers) grouped close-by in PC score diagrams for all levels of fungal growth. Results highlight the possible implementation of FTIR-ATR model to detect infected peanuts even at early stages of invasion; besides, to prove the potential separation capability in terms of species. and their secondary metabolites.

ผลลัพธ์ (อังกฤษ) 3:

Translation research articles, In this study Aspergillus spp, common colonists in peanut were characterized classified and quantified,,, Using FTIR coupled with ATR accessory. FTIR-ATR spectral data of infected peanut samples were preprocessed (mean-centering,, Smoothing the 1st derivative), and used for the PLS regression analysis for quantitative results. Very high R2 values (96.20 - 99.98%) together with low error of RMSEC values (0.014 - 0.153 Log CFU / g of peanut) were obtained. Even the spectrum, of peanut. Matrix was dominant at early stages of invasion (< = 2.5 Log CFU / g peanut), resulting in section separation (Nigri from Flavi). And at higher population (> 4 Log CFU / g species level, separation (Aspergillus alliaceus Aspergillus caelatus Aspergillus,,, Flavus.Aspergillus parasiticus and Aspergillus, tamari) was observed. The accuracy of correct classification increased proportionally. With fungal invasion level and 100% correct classification was reached when the cell level was Log CFU / g = 4.5 - 5. Samples. With similar secondary metabolites (toxin producers) grouped close-by in PC score diagrams for all levels of fungal growth.Results highlight the possible implementation of FTIR-ATR model to detect infected peanuts even at early stages of invasion;? Besides to prove, the potential separation capability in terms of species and their secondary metabolites.
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