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Multiple forms of a glucoamylase inhibitory factor fromAspergillus niger and its elution after adsorption onto raw wheat starch.

World journal of microbiology & biotechnology

Towprayoon S, Fujio Y, Ueda S.
PMID: 24425386
World J Microbiol Biotechnol. 1992 Mar;8(2):98-101. doi: 10.1007/BF01195824.

An inhibitory factor (IF) fromAspergillus niger, that inhibited the action of glucoamylase on raw starch, was adsorbed tightly onto raw starch but was almost completely desorbed by 0.02M sodium borate. The IF was a glycoprotein and was partially purified...

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Towprayoon S, Fujio Y, Ueda S. Multiple forms of a glucoamylase inhibitory factor fromAspergillus niger and its elution after adsorption onto raw wheat starch. World J Microbiol Biotechnol. 1992;8(2):98-101doi: 10.1007/BF01195824.
Towprayoon, S., Fujio, Y., & Ueda, S. (1992). Multiple forms of a glucoamylase inhibitory factor fromAspergillus niger and its elution after adsorption onto raw wheat starch. World journal of microbiology & biotechnology, 8(2), 98-101. https://doi.org/10.1007/BF01195824
Towprayoon, S, et al. "Multiple forms of a glucoamylase inhibitory factor fromAspergillus niger and its elution after adsorption onto raw wheat starch." World journal of microbiology & biotechnology vol. 8,2 (1992): 98-101. doi: https://doi.org/10.1007/BF01195824
Towprayoon S, Fujio Y, Ueda S. Multiple forms of a glucoamylase inhibitory factor fromAspergillus niger and its elution after adsorption onto raw wheat starch. World J Microbiol Biotechnol. 1992 Mar;8(2):98-101. doi: 10.1007/BF01195824. PMID: 24425386.
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Adsorption of three azo reactive dyes by metal hydroxide sludge: effect of temperature, pH, and electrolytes.

Journal of colloid and interface science

Netpradit S, Thiravetyan P, Towprayoon S.
PMID: 14697686
J Colloid Interface Sci. 2004 Feb 15;270(2):255-61. doi: 10.1016/j.jcis.2003.08.073.

Adsorption of azo reactive dyes by metal hydroxide sludge were investigated using CI Reactive Red 2 (RR-2), CI Reactive Red 120, (RR-120), and CI Reactive Red 141 (RR-141). The adsorption isotherms, including the Langmuir constants (Q degrees and b)...

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Netpradit S, Thiravetyan P, Towprayoon S. Adsorption of three azo reactive dyes by metal hydroxide sludge: effect of temperature, pH, and electrolytes. J Colloid Interface Sci. 2004;270(2):255-61doi: 10.1016/j.jcis.2003.08.073.
Netpradit, S., Thiravetyan, P., & Towprayoon, S. (2004). Adsorption of three azo reactive dyes by metal hydroxide sludge: effect of temperature, pH, and electrolytes. Journal of colloid and interface science, 270(2), 255-61. https://doi.org/10.1016/j.jcis.2003.08.073
Netpradit, Suchapa, et al. "Adsorption of three azo reactive dyes by metal hydroxide sludge: effect of temperature, pH, and electrolytes." Journal of colloid and interface science vol. 270,2 (2004): 255-61. doi: https://doi.org/10.1016/j.jcis.2003.08.073
Netpradit S, Thiravetyan P, Towprayoon S. Adsorption of three azo reactive dyes by metal hydroxide sludge: effect of temperature, pH, and electrolytes. J Colloid Interface Sci. 2004 Feb 15;270(2):255-61. doi: 10.1016/j.jcis.2003.08.073. PMID: 14697686.
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Effects of operating parameters on co-gasification of coconut petioles and refuse-derived fuel.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA

Chommontha N, Phongphiphat A, Wangyao K, Patumsawad S, Towprayoon S.
PMID: 33779430
Waste Manag Res. 2021 Mar 29;734242X211003974. doi: 10.1177/0734242X211003974. Epub 2021 Mar 29.

Coconut agro-industry in the western region of Thailand generates a large amount of residues. This study investigated the energy production potential of discarded coconut petioles, with a focus on co-gasification with refuse-derived fuel (RDF). Gasification tests involving petioles, RDFs...

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Chommontha N, Phongphiphat A, Wangyao K, et al. Effects of operating parameters on co-gasification of coconut petioles and refuse-derived fuel. Waste Manag Res. 2021;734242X211003974doi: 10.1177/0734242X211003974.
Chommontha, N., Phongphiphat, A., Wangyao, K., Patumsawad, S., & Towprayoon, S. (2021). Effects of operating parameters on co-gasification of coconut petioles and refuse-derived fuel. Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA, 734242X211003974. https://doi.org/10.1177/0734242X211003974
Chommontha, Natvaree, et al. "Effects of operating parameters on co-gasification of coconut petioles and refuse-derived fuel." Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA vol. (2021): 734242X211003974. doi: https://doi.org/10.1177/0734242X211003974
Chommontha N, Phongphiphat A, Wangyao K, Patumsawad S, Towprayoon S. Effects of operating parameters on co-gasification of coconut petioles and refuse-derived fuel. Waste Manag Res. 2021 Mar 29;734242X211003974. doi: 10.1177/0734242X211003974. Epub 2021 Mar 29. PMID: 33779430.
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Effect of adsorption of an inhibitory factor on raw starch hydrolysis by glucoamylase.

World journal of microbiology & biotechnology

Towprayoon S, Fujio Y, Ueda S.
PMID: 24430140
World J Microbiol Biotechnol. 1990 Dec;6(4):400-3. doi: 10.1007/BF01202122.

An inhibitory factor (IF) produced byAspergillus niger strain 19, and which inhibits the action of glucoamylase on starch, has the ability to be tightly adsorbed on to various raw starches, though the amount differs from starch to starch. Based...

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Towprayoon S, Fujio Y, Ueda S. Effect of adsorption of an inhibitory factor on raw starch hydrolysis by glucoamylase. World J Microbiol Biotechnol. 1990;6(4):400-3doi: 10.1007/BF01202122.
Towprayoon, S., Fujio, Y., & Ueda, S. (1990). Effect of adsorption of an inhibitory factor on raw starch hydrolysis by glucoamylase. World journal of microbiology & biotechnology, 6(4), 400-3. https://doi.org/10.1007/BF01202122
Towprayoon, S, et al. "Effect of adsorption of an inhibitory factor on raw starch hydrolysis by glucoamylase." World journal of microbiology & biotechnology vol. 6,4 (1990): 400-3. doi: https://doi.org/10.1007/BF01202122
Towprayoon S, Fujio Y, Ueda S. Effect of adsorption of an inhibitory factor on raw starch hydrolysis by glucoamylase. World J Microbiol Biotechnol. 1990 Dec;6(4):400-3. doi: 10.1007/BF01202122. PMID: 24430140.
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Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.

NPJ digital medicine

Raumviboonsuk P, Krause J, Chotcomwongse P, Sayres R, Raman R, Widner K, Campana BJL, Phene S, Hemarat K, Tadarati M, Silpa-Archa S, Limwattanayingyong J, Rao C, Kuruvilla O, Jung J, Tan J, Orprayoon S, Kangwanwongpaisan C, Sukumalpaiboon R, Luengchaichawang C, Fuangkaew J, Kongsap P, Chualinpha L, Saree S, Kawinpanitan S, Mitvongsa K, Lawanasakol S, Thepchatri C, Wongpichedchai L, Corrado GS, Peng L, Webster DR.
PMID: 31304372
NPJ Digit Med. 2019 Apr 10;2:25. doi: 10.1038/s41746-019-0099-8. eCollection 2019.

Deep learning algorithms have been used to detect diabetic retinopathy (DR) with specialist-level accuracy. This study aims to validate one such algorithm on a large-scale clinical population, and compare the algorithm performance with that of human graders. A total...

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Raumviboonsuk P, Krause J, Chotcomwongse P, et al. Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. NPJ Digit Med. 2019;2:25doi: 10.1038/s41746-019-0099-8.
Raumviboonsuk, P., Krause, J., Chotcomwongse, P., Sayres, R., Raman, R., Widner, K., Campana, B. J. L., Phene, S., Hemarat, K., Tadarati, M., Silpa-Archa, S., Limwattanayingyong, J., Rao, C., Kuruvilla, O., Jung, J., Tan, J., Orprayoon, S., Kangwanwongpaisan, C., Sukumalpaiboon, R., Luengchaichawang, C., Fuangkaew, J., Kongsap, P., Chualinpha, L., Saree, S., Kawinpanitan, S., Mitvongsa, K., Lawanasakol, S., Thepchatri, C., Wongpichedchai, L., Corrado, G. S., Peng, L., & Webster, D. R. (2019). Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. NPJ digital medicine, 225. https://doi.org/10.1038/s41746-019-0099-8
Raumviboonsuk, Paisan, et al. "Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program." NPJ digital medicine vol. 2 (2019): 25. doi: https://doi.org/10.1038/s41746-019-0099-8
Raumviboonsuk P, Krause J, Chotcomwongse P, Sayres R, Raman R, Widner K, Campana BJL, Phene S, Hemarat K, Tadarati M, Silpa-Archa S, Limwattanayingyong J, Rao C, Kuruvilla O, Jung J, Tan J, Orprayoon S, Kangwanwongpaisan C, Sukumalpaiboon R, Luengchaichawang C, Fuangkaew J, Kongsap P, Chualinpha L, Saree S, Kawinpanitan S, Mitvongsa K, Lawanasakol S, Thepchatri C, Wongpichedchai L, Corrado GS, Peng L, Webster DR. Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. NPJ Digit Med. 2019 Apr 10;2:25. doi: 10.1038/s41746-019-0099-8. eCollection 2019. PMID: 31304372; PMCID: PMC6550283.
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Erratum: Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.

NPJ digital medicine

Ruamviboonsuk P, Krause J, Chotcomwongse P, Sayres R, Raman R, Widner K, Campana BJL, Phene S, Hemarat K, Tadarati M, Silpa-Archa S, Limwattanayingyong J, Rao C, Kuruvilla O, Jung J, Tan J, Orprayoon S, Kangwanwongpaisan C, Sukumalpaiboon R, Luengchaichawang C, Fuangkaew J, Kongsap P, Chualinpha L, Saree S, Kawinpanitan S, Mitvongsa K, Lawanasakol S, Thepchatri C, Wongpichedchai L, Corrado GS, Peng L, Webster DR.
PMID: 31341955
NPJ Digit Med. 2019 Jul 23;2:68. doi: 10.1038/s41746-019-0146-5. eCollection 2019.

[This corrects the article DOI: 10.1038/s41746-019-0099-8.].

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Ruamviboonsuk P, Krause J, Chotcomwongse P, et al. Erratum: Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. NPJ Digit Med. 2019;2:68doi: 10.1038/s41746-019-0146-5.
Ruamviboonsuk, P., Krause, J., Chotcomwongse, P., Sayres, R., Raman, R., Widner, K., Campana, B. J. L., Phene, S., Hemarat, K., Tadarati, M., Silpa-Archa, S., Limwattanayingyong, J., Rao, C., Kuruvilla, O., Jung, J., Tan, J., Orprayoon, S., Kangwanwongpaisan, C., Sukumalpaiboon, R., Luengchaichawang, C., Fuangkaew, J., Kongsap, P., Chualinpha, L., Saree, S., Kawinpanitan, S., Mitvongsa, K., Lawanasakol, S., Thepchatri, C., Wongpichedchai, L., Corrado, G. S., Peng, L., & Webster, D. R. (2019). Erratum: Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. NPJ digital medicine, 268. https://doi.org/10.1038/s41746-019-0146-5
Ruamviboonsuk, Paisan, et al. "Erratum: Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program." NPJ digital medicine vol. 2 (2019): 68. doi: https://doi.org/10.1038/s41746-019-0146-5
Ruamviboonsuk P, Krause J, Chotcomwongse P, Sayres R, Raman R, Widner K, Campana BJL, Phene S, Hemarat K, Tadarati M, Silpa-Archa S, Limwattanayingyong J, Rao C, Kuruvilla O, Jung J, Tan J, Orprayoon S, Kangwanwongpaisan C, Sukumalpaiboon R, Luengchaichawang C, Fuangkaew J, Kongsap P, Chualinpha L, Saree S, Kawinpanitan S, Mitvongsa K, Lawanasakol S, Thepchatri C, Wongpichedchai L, Corrado GS, Peng L, Webster DR. Erratum: Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. NPJ Digit Med. 2019 Jul 23;2:68. doi: 10.1038/s41746-019-0146-5. eCollection 2019. PMID: 31341955; PMCID: PMC6650411.
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Showing 1 to 6 of 6 entries