Person Image

    Education

    • Ph.D.(Chemistry), Kwansei Gakuin University, JAPAN
    • วท.ม.(เคมีวิเคราะห์), มหาวิทยาลัยเกษตรศาสตร์, ไทย
    • วท.บ.(เคมี), มหาวิทยาลัยเกษตรศาสตร์, ไทย

    Expertise Cloud

    adulterationalpha-mangostinbiodieselbiomassButter cakeCalibration modelcantaloupecassavacelluloseChinese fermented soybean curdFruitFruit flyFryingGAMMA-GLOBULINGLUCOSEgluten-freeglutinous riceHerbherbal medicinehigh-oil cornHom-Mali riceHoneyHyperspectralImage processingimaginginfestationInsect detectionlarvaeligninLonganLycheeMangomangosteenmaturitymoistureMoving window partial least squares regressionNear Infrared Spectroscopynear-infraredNear-infrared (NIR) spectroscopyNear-infrared spectroscopyNIRNIR imagingNIR spectroscopyNIRSnon-destructive methodOil cornOrangepaddyPapayaPartial least squarepartial least square regressionPartial least squares (PLS) regressionpartial least squares regressionPartial least squares (PLS) regressionpasting propertiespest controlpoly (3-hydroxybutyrate)predictionqualityQuality assessmentRapid methodrice flourrough riceRubber woodSaccharomyces cerevisiaeshredded canesingle kernelSorting machinespectrasugar millingSUGARCANEsugarcane bagasseTotal OilTurmericขมิ้นชันข้าวเปลือกชีวมวลเทคนิคสเปกโตรสโกปีย่านใกล้อินฟราเรดน้ำผึ้งน้ำมันดักแด้ไหมน้ำอ้อยเนียร์อินฟราเรดเนียร์อินฟราเรดสเปกโตรสโกปีไบโอดีเซลปริมาณวิเคราะห์แป้งพลังงานชีวมวลฟลาโวนอยด์ฟ้าทะลายโจรมังคุดแมลงวันยาสมุนไพรโลชั่นสเปกตรัมสเปกโตรสโคปีย่านใกล้อินฟราเรดสารสกัดแสงย่านใกล้อินฟราเรดหม่อนอ้อยแอนโดรกราโฟไลด์

    Interest

    Chemometrics, Bionass, Food Science, Biofuels, Near Infrared Spectroscopy

    Administrative Profile


      Resource


      งานวิจัยในรอบ 5 ปี

      Project

      งานวิจัยที่อยู่ระหว่างการดำเนินการ
      • ทุนใน 33 โครงการ (หัวหน้าโครงการ 15 โครงการ, ที่ปรึกษาโครงการ 1 โครงการ, ผู้ร่วมวิจัย 17 โครงการ, หัวหน้าโครงการย่อย 1 โครงการ)
      • ทุนนอก 0 โครงการ
      งานวิจัยที่เสร็จสิ้นแล้ว
      • ทุนใน 41 โครงการ (หัวหน้าโครงการ 13 โครงการ, ผู้ร่วมวิจัย 28 โครงการ)
      • ทุนนอก 31 โครงการ (หัวหน้าโครงการ 16 โครงการ, ผู้ร่วมวิจัย 15 โครงการ)

      แนวโน้มผลงานทั้งหมดเทียบกับแนวโน้มผลงานในรอบ 5 ปี

      Output

      • บทความ 186 เรื่อง (ตีพิมพ์ในวารสารวิชาการ 49 เรื่อง, นำเสนอในการประชุม/สัมมนา 137 เรื่อง)

      แนวโน้มการนำผลงานไปใช้ประโยชน์ในด้านต่างๆ

      Outcome

      • การนำผลงานไปใช้ประโยชน์ 72 เรื่อง (เชิงวิชาการ 72 เรื่อง, เชิงนโยบาย/บริหาร 0 เรื่อง, เชิงสาธารณะ 0 เรื่อง, เชิงพาณิชย์ 0 เรื่อง)

      รางวัลที่ได้รับ

      Award

      • รางวัลที่ได้รับ 21 เรื่อง (ประกาศเกียรติคุณ/รางวัลนักวิจัย 11 เรื่อง, รางวัลผลงานวิจัย/สิ่งประดิษฐ์ 1 เรื่อง, รางวัลผลงานนำเสนอในการประชุมวิชาการ 9 เรื่อง)

      นักวิจัยที่มีผลงานงานร่วมกันมากที่สุด 10 คนแรก


      Scopus h-index

      #Document titleAuthorsYearSourceCited by
      1The detection and quantification of adulteration in olive oil by near-infrared spectroscopy and chemometricsChristy A., Kasemsumran S., Du Y., Ozaki Y.2004Analytical Sciences
      20(6),pp. 935-940
      207
      2Feasibility of near-infrared spectroscopy to detect and to quantify adulterants in cow milkKasemsumran S., Thanapase W., Kiatsoonthon A.2007Analytical Sciences
      23(7),pp. 907-910
      91
      3Near-infrared spectroscopic determination of human serum albumin, γ-globulin, and glucose in a control serum solution with searching combination moving window partial least squaresKasemsumran S., Du Y., Murayama K., Huehne M., Ozaki Y.2004Analytica Chimica Acta
      512(2),pp. 223-230
      75
      4Improvement of partial least squares models for in vitro and in vivo glucose quantifications by using near-infrared spectroscopy and searching combination moving window partial least squaresKasemsumran S., Du Y., Maruo K., Ozaki Y.2006Chemometrics and Intelligent Laboratory Systems
      82(1-2 SPEC. ISS),pp. 97-103
      73
      5Simultaneous determination of human serum albumin, γ-globulin, and glucose in a phosphate buffer solution by near-infrared spectroscopy with moving window partial least-squares regressionKasemsumran S., Du Y.P., Murayama K., Huehne M., Ozaki Y.2003Analyst
      128(12),pp. 1471-1477
      51
      6Automatic image analysis and spot classification for detection of fruit fly infestation in hyperspectral images of mangoesHaff R.P., Saranwong S., Saranwong S., Thanapase W., Janhiran A., Kasemsumran S., Kawano S., Kawano S.2013Postharvest Biology and Technology
      86,pp. 23-28
      49
      7Partial least squares processing of near-infrared spectra for discrimination and quantification of adulterated olive oilsKasemsumran S., Kang N., Christy A., Ozaki Y.2005Spectroscopy Letters
      38(6),pp. 839-851
      43
      8Optimization of informative spectral regions for the quantification of cholesterol, glucose and urea in control serum solutions using searching combination moving window partial least squares regression method with near infrared spectroscopyKang N., Kang N., Kasemsumran S., Woo Y., Kim H., Ozaki Y.2006Chemometrics and Intelligent Laboratory Systems
      82(1-2 SPEC. ISS),pp. 90-96
      40
      9An alternative approach for the classification of orange varieties based on near infrared spectroscopySuphamitmongkol W., Suphamitmongkol W., Nie G., Nie G., Liu R., Kasemsumran S., Shi Y., Shi Y.2013Computers and Electronics in Agriculture
      91,pp. 87-93
      34
      10Selective removal of interference signals for near-infrared spectra of biomedical samples by using region orthogonal signal correctionKasemsumran S., Du Y., Maruo K., Ozaki Y.2004Analytica Chimica Acta
      526(2),pp. 193-202
      21
      11Short communication A feasibility study using simplified near infrared imaging to detect fruit fly larvae in intact fruitSaranwong S., Haff R., Thanapase W., Janhiran A., Kasemsumran S., Kawano S.2011Journal of Near Infrared Spectroscopy
      19(1),pp. 55-60
      18
      12Ascertainment of the number of samples in the validation set in Monte Carlo cross validation and the selection of model dimension with Monte Carlo cross validationDu Y., Kasemsumran S., Maruo K., Nakagawa T., Ozaki Y.2006Chemometrics and Intelligent Laboratory Systems
      82(1-2 SPEC. ISS),pp. 83-89
      17
      13Temperature compensation for determination of moisture and reducing sugar of longan honey by near infrared spectroscopyThamasopinkul C., Ritthiruangdej P., Kasemsumran S., Suwonsichon T., Haruthaithanasan V., Ozaki Y.2017Journal of Near Infrared Spectroscopy
      25(1),pp. 36-44
      17
      14Improvement of the partial least squares model performance for oral glucose intake experiments by inside mean centering and inside multiplicative signal correctionDu Y., Kasemsumran S., Maruo K., Nakagawa T., Ozaki Y.2005Analytical Sciences
      21(8),pp. 979-984
      16
      15Rapid variety identification of pure rough rice by fourier-transform near-infrared spectroscopyAttaviroj N., Kasemsumran S., Noomhorm A.2011Cereal Chemistry
      88(5),pp. 490-496
      16
      16Removal of interference signals due to water from in vivo near-infrared (NIR) spectra of blood glucose by region orthogonal signal correction (ROSC)Du Y., Du Y., Liang Y., Kasemsumran S., Maruo K., Ozaki Y.2004Analytical Sciences
      20(9),pp. 1339-1345
      15
      17A feasibility study on non-destructive determination of oil content in palm fruits by visible-near infrared spectroscopyKasemsumran S., Thanapase W., Punsuvon V., Ozaki Y.2012Journal of Near Infrared Spectroscopy
      20(6),pp. 687-694
      15
      18Sensory descriptive and texture profile analyses of butter cakes made from composite rice floursChueamchaitrakun P., Chompreeda P., Haruthaithanasan V., Suwonsichon T., Kasemsamran S., Prinyawiwatkul W.2011International Journal of Food Science and Technology
      46(11),pp. 2358-2365
      14
      19Near infrared quantitative analysis of total curcuminoids in rhizomes of Curcuma longa by moving window partial least squares regressionKasemsumran S., Keeratinijakal V., Thanapase W., Ozaki Y.2010Journal of Near Infrared Spectroscopy
      18(4),pp. 263-269
      10
      20Applying near infrared spectroscopy to the detection of fruit fly eggs and larvae in intact fruitSaranwong S., Thanapase W., Suttiwijitpukdee N., Rittiron R., Kasemsumran S., Kawano S.2010Journal of Near Infrared Spectroscopy
      18(4),pp. 271-280
      10
      21Determination of total nitrogen content, pH, density, refractive index, and brix in Thai fish sauces and their classification by near-infrared spectroscopy with searching combination moving window partial least squaresRitthiruangdej P., Ritthiruangdej P., Kasemsumran S., Suwonsichon T., Haruthaithanasan V., Thanapase W., Ozaki Y.2005Analyst
      130(10),pp. 1439-1445
      10
      22Evaluation of astringency and tannin content in xichu persimmons using near infrared spectroscopyNoypitak S., Terdwongworakul A., Krisanapook K., Kasemsumran S.2015International Journal of Food Properties
      18(5),pp. 1014-1028
      9
      23Comparison of performance of partial least squares regression, secured principal component regression, and modified secured principal component regression for determination of human serum albumin, γ-globulin and glucose in buffer solutions and in vivo blood glucose quantification by near-infrared spectroscopyLi B.Y., Li B.Y., Kasemsumran S., Hu Y., Liang Y.Z., Ozaki Y.2007Analytical and Bioanalytical Chemistry
      387(2),pp. 603-611
      9
      24Evaluation of Fourier transform-near infraredspectroscopic measurements for the quantification of curcumin in turmeric herbal medicinesKasemsumran S., Apiwatanapiwat W., Suttiwijitpukdee N., Vaithanomsat P., Thanapase W.2014Journal of Near Infrared Spectroscopy
      22(2),pp. 113-120
      8
      25Performance improvement of temperature compensation in near infrared analysis of orange sweetness by applying direct standardizationNgowsuwan K., Thanapatay D., Kasemsumran S.2018Journal of Near Infrared Spectroscopy
      26(6),pp. 369-378
      8
      26Determination of water activity, total soluble solids and moisture, sucrose, glucose and fructose contents in osmotically dehydrated papaya using near-infrared spectroscopyRongtong B., Suwonsichon T., Ritthiruangdej P., Kasemsumran S.2018Agriculture and Natural Resources
      52(6),pp. 557-564
      8
      27Moving window cross validation: A new cross validation method for the selection of a rational number of components in a partial least squares calibration modelKasemsumran S., Kasemsumran S., Du Y.P., Li B.Y., Maruo K., Ozaki Y.2006Analyst
      131(4),pp. 529-537
      7
      28Rapid classification of turmeric based on DNA fingerprint by near-infrared spectroscopy combined with moving window partial least squares-discrimination analysisKasemsumran S., Suttiwijitpukdee N., Keeratinijakal V.2017Analytical Sciences
      33(1),pp. 111-115
      7
      29Rapid analysis of chemical composition in intact and milled rice cookies using near infrared spectroscopyWimonsiri L., Ritthiruangdej P., Kasemsumran S., Therdthai N., Chanput W., Ozaki Y.2017Journal of Near Infrared Spectroscopy
      25(5),pp. 330-337
      6
      30A feasibility study of oil content and fatty acid composition of seed powder and seed oil of Pongamia pinnata by near infrared spectroscopyKhamchum C., Punsuvon V., Kasemsumran S., Suttiwijitpukdee N.2013ScienceAsia
      39(4),pp. 384-391
      5
      31Installation design of on-line near infrared spectroscopy for the production of compound fertilizerRuangratanakorn J., Suwonsichon T., Kasemsumran S., Thanapase W.2020Vibrational Spectroscopy
      106
      4
      32Rapid and nondestructive analysis of deep-fried taro chip qualities using near infrared spectroscopyAreekij S., Ritthiruangdej P., Kasemsumran S., Therdthai N., Haruthaithanasan V., Ozaki Y.2017Journal of Near Infrared Spectroscopy
      25(2),pp. 127-137
      4
      33Prediction of pasting and thermal properties of mixed Hom-Mali and glutinous rice flours using near infrared spectroscopyChueamchaitrakun P., Chompreeda P., Haruthaithanasan V., Suwonsichon T., Kasemsamran S.2011Kasetsart Journal - Natural Science
      45(3),pp. 481-489
      4
      34Determination of sulfur dioxide content in osmotically dehydrated papaya and its classification by near infrared spectroscopyRongtong B., Suwonsichon T., Ritthiruangdej P., Kasemsumran S.2018Journal of Near Infrared Spectroscopy
      26(6),pp. 359-368
      3
      35Derivative spectrophotometric determination of acetaminophen by the formation of [Fe(II)-(2,2′-bipyridyl)3]2+Burns D., Burns D., Tungkananuruk N., Kasemsumran S., Tungkananuruk K.2005Chemia Analityczna
      50(2),pp. 475-479
      3
      36An innovative measurement of extractable proteins from concentrated latex containing eggshell calcium oxide compounds by near-infrared spectroscopyTangboriboon N., Phudkrachang P., Kasemsumran S., Kunanuruksapong R., Sirivat A.2012Spectroscopy Letters
      45(1),pp. 29-39
      1
      37Rapid selection of Andrographis paniculata medicinal plant materials based on major bioactive using near-infrared spectroscopyKasemsumran S., Apiwatanapiwat W., Ngowsuwan K., Jungtheerapanich S.2021Chemical Papers
      75(11),pp. 5633-5644
      0