Journals / Kocatepe Veteriner Dergisi / 2019 / Cilt: 12 - Sayı: 1

Establishing Near Infra Red Spectroscopy (NIR) Calibration for Starch Analysis in Corn Grain

Mısır Tahılında Nişasta Analizi İçin Near Infra Red Spectroscopy (NIR) Kalibrasyonu Oluşturulması

Pages
7–14
Publication Date
2019-03-31
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This study has concluded that more samples representing the 7 different regions in Turkey for the starch contents of corn are needed in order to generate scientifically reliable results with the FT-NIR device.

📌 3 Key Takeaways

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Objective & Hypothesis:This study has been carried out to calibrate the starch values of 320 corn samples taken from Soil Products Offices (TMO) in seven different geographical regions of by using an NIR instrument.
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Key Findings & Data:The calibration values generated were R= 0.6410; R2 = 0.4109 Standard Deviation = 4.4208, R = 0.5854 from the validation set; R2 = 0.3427 Standard Deviation = 4.5662.
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Conclusion & Impact:This study has concluded that more samples representing the 7 different regions in Turkey for the starch contents of corn are needed in order to generate scientifically reliable results with the FT-NIR device.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:NIR · Mısır · Nişasta

Abstract

This study has been carried out to calibrate the starch values of 320 corn samples taken from Soil Products Offices (TMO) in seven different geographical regions of by using an NIR instrument. The corn samples used in the study were selected from the regions where corn production is intensive in Turkey and brought to the laboratory. The corn samples brought to the laboratory were milled and then spectra were formed. Subsequently, the starch values were determined in the laboratory with the use of wet chemical analysis methods. The calibration values generated were R= 0.6410; R2 = 0.4109 Standard Deviation = 4.4208, R = 0.5854 from the validation set; R2 = 0.3427 Standard Deviation = 4.5662. The calibration interval in the study was 44.53 and 45.72, respectively. This study has concluded that more samples representing the 7 different regions in Turkey for the starch contents of corn are needed in order to generate scientifically reliable results with the FT-NIR device.

Özet

Bu araştırma Türkiye'nin yedi farklı coğrafi bölgesindeki TMO ofislerinden getirilen toplam 320 adet mısır numunesindeki nişasta değerlerinin NIR cihazı kullanılarak kalibrasyonunu yapmak amacıyla gerçekleştirilmiştir. Araştırmada kullanılan mısır numuneleri Türkiye’de mısır üretiminin yoğun olarak yapıldığı bölgelerden seçilmiştir ve laboratuvara getirilmiştir. Laboratuvara getirilen mısır numunelerinin öğütülmesi işlemi yapılmış, daha sonra spektraları oluşturulmuştur. Akabinde, laboratuarda yaş kimyasal analiz yöntemiyle nişasta değerleri bulunmuştur. Oluşturulan kalibrasyon setinin R=0.6410; R2= 0.4109 Standart Sapma = 4.4208 şeklinde değerleri alınmış, validasyon setinden ise R=0.5854; R2= 0.3427 Standart Sapma = 4.5662 değerleri elde edilmiştir. Araştırmada, kalibrasyon aralığı 44.53 bulunurken, validasyon aralığı ise 45.72. olarak bulunmuştur. Sonuç olarak bu araştırma ile Türkiye’nin 7 farklı bölgesini temsil edebilecek mısır örneklerindeki nişasta miktarı FT-NIR cihazı kullanılarak elde edilen kalibrasyonların bilimsel açıdan daha doğru sonuçlar vermesi için daha fazla miktarda numune ile çalışmaların yapılması gerektiğine kanaat getirilmiştir.

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Cite This Article

TOMAS, E., BAYRAM, İ. (2019). Establishing Near Infra Red Spectroscopy (NIR) Calibration for Starch Analysis in Corn Grain. Kocatepe Veteriner Dergisi, Cilt: 12 - Sayı: 1, 7–14. https://ajindex.com/articles/124991

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