Evaluation of Air Oven Moisture Content Determination Procedures for Pearl Millet (<i>Pennisetum glaucum</i>L.)

Francis, Okey; Ezeoha, Sunday Louis; Egwu, Chidinma O.

doi:10.1080/10942912.2015.1038566

Cited by 15 publications

(11 citation statements)

References 12 publications

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“…Moisture content determination of the environmental sample matrices was also carried out by a drying procedure (105 ± 2 °C for 48 h) using a validated and ventilated oven. Ten samples were used to calculate the mean moisture content with minimum sample mass 1 g [8,9].…”

Section: Methodsmentioning

confidence: 99%

Validation of Total Mercury in Marine Sediment and Biological Samples, Using Cold Vapour Atomic Absorption Spectrometry

Elezz

Hassan

Alsaadi

et al. 2018

MPs

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Abstract:A method for the measurement of total mercury (T-Hg) in environmental samples using cold vapour atomic absorption spectrometry (CV AAS) has been validated yielding a dynamic range (0.04-10.00 µg/kg) and high certified reference material (CRM) recovery (>90%). The validation was carried out according to International Union of Pure and Applied Chemistry (IUPAC) validation and Eurachem Guides. A freeze-dried and homogenised sample was weighed and then digested using Suprapur acids (HNO 3 , H 2 SO 4 , and HF) with potassium dichromate solution in a hot block digestion system. A calibration curve was constructed (R 2 > 0.999). Two CRMs (Marine Sediment Reference Material (PACS-3) and Trace Elements in Muscle Tissue (Trace Elements and Methylmercury in Mussel Tissue (NIST2976)) were utilised for quality assurance and control. The limit of quantification (LOQ) calculated as 0.04 µg/kg, and uncertainty (U) calculated as 2%. The obtained results showed the suitability of this method for direct mercury measurement in environmental samples. Additionally, the proficiency of this method was recognised by accreditation under the standard of International Organization for Standardization (ISO/IEC 17025:2017) for competence of testing and calibration laboratories.

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Section: Methodsmentioning

confidence: 99%

Validation of Total Mercury in Marine Sediment and Biological Samples, Using Cold Vapour Atomic Absorption Spectrometry

Elezz

Hassan

Alsaadi

et al. 2018

MPs

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“…The constant drying rate period (BC) is relatively short, and the second derivative of the drying curve is equal to 0. Gradually, the drying rate of the sample slows progressively during the falling rate period (CD), which lasts for a long time, and the second derivative of the drying curve is greater than 0 [11,33] . This can be explained by the fact that when the moisture content at the surface decreases and the internal resistance to water transport increases, the evaporated water needs more time to make its way through the dry materials to the evaporation zone [34] .…”

Section: Development Of the Predictive Modelmentioning

confidence: 99%

“…For meat and poultry products, the Loss-on-drying (LOD) method has been approved for official detection purposes according to the international standards recommended by the Association of Official Analytical Chemists (AOAC) 985.14-2005 [9] and International Organization for Standardization (ISO) 1442-1997 [10] . LOD method permits the simultaneous analyses of large numbers of samples and does not require equipment calibration [11] .…”

Section: Introductionmentioning

confidence: 99%

Prediction and fusion algorithm for meat moisture content measurement based on loss-on-drying method

Jing¹,

Xu²,

Lin³

et al. 2020

International Journal of Agricultural and Biological Engineering

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The loss-on-drying method has been widely used as a standard approach for measuring the moisture content of high-moisture materials such as solid and semi-solid foods. Loss-on-drying method provides reliable results, whilst usually labor-intensive and time-consuming. This paper presents a novel algorithm for predicting the moisture content of meats based on the loss-on drying method. The proposed approach developed a drying kinetics model of meats based on Fick's Second Law and designed a prediction algorithm for meat moisture content using the least-squares method. The predicted results were compared with the official method recommended by the Association of Official Analytical Chemists (AOAC). When the moisture content of meat samples (beef and pork) was varied from 69.46% to 74.21%, the relative error of the meat moisture content (MMC) calculated by the proposed algorithm was 0.0017-0.0117, the absolute errors were less than 1%. The testing time was about 40.18%-56.87% less than the standard detection procedure.

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“…Bu çalışmada, atık posaların nem içeriği başlangıç kütlesi bilinen atık posaların, 130°C'de 2 saat boyunca etüvde bekletilmesinin ardından kütle kaybına dayanan yöntem ile belirlenmiştir [16]. Pigment ekstraksiyonu için Kantifedaki…”

Section: Analitik Yöntemlerunclassified

Meyve İşleme Endüstrisi Atık Posalarından Aspergillus parasiticus ile Biyopigment Üretiminin Araştırılması

Arikan¹

2020

Deu Muhendislik Fakultesi Fen Ve Muhendislik

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Öz Pigmentlerin, renklendirme amacı ile kozmetik, tekstil, kağıt, ilaç ve gıda gibi birçok endüstride kullanıldıkları bilinmektedir. Özellikle Türkiye'de, çoğunlukla sağlığa zararlı olan sentetik pigmentler kullanılırken, dünya çapında biyopigment adı verilen doğal kaynaklardan üretilen pigmentlerin üretimine odaklanılmıştır. Biyopigmentlerin endüstiyel üretiminde maliyeti etkileyen en önemli etkenlerden biri substrattır. Ayrıca, endüstriyel üretimde, bir çok avantajının bulunması nedeni ile funguslardan biyopigment üretimi oldukça dikkat çekmektedir. Bu nedenlerle, bu çalışmada, Aspergillus parasiticus filamentli fungusu ile meyve işleme endüstrisi atıklarından biyopigment üretimi araştırılmıştır. Bu amaçla, çalışmanın birinci aşamasında, kara havuç, nar, elma ve pancar posası atıkları A. parasiticus ile katı hal fermantasyon koşullarında 5 gün boyunca fermente edilerek en yüksek pigment üretiminin gerçekleştirildiği atık posa belirlenmiştir. Çalışmanın ikinci aşamasında ise, en yüksek pigment üretiminin gerçekleştirildiği nar atık posasının optimum başlangıç pH'ı ve optimum inkübasyon süresi araştırılmıştır. Çalışma sonucunda, atık başlangıç pH'ı 6,5 ve inkübasyon süresinin 15. gününde en yüksek pigment üretiminin sarı renk olarak 14, 28 A/g olduğu belirlenmiştir. Üretilen biyopigmentin ayrıca %20,54 antioksidan aktivitesinin bulunduğu tespit edilmiştir. Sonuç olarak, nar atık posası atıklarının değerlendirilmesi ile A. parasiticus fungusundan değerli bir ürün olan sarı renkli biyopigmentin üretimi başarı ile gerçekleştirilmiştir.

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Evaluation of Air Oven Moisture Content Determination Procedures for Pearl Millet (Pennisetum glaucumL.)

Cited by 15 publications

References 12 publications

Validation of Total Mercury in Marine Sediment and Biological Samples, Using Cold Vapour Atomic Absorption Spectrometry

Validation of Total Mercury in Marine Sediment and Biological Samples, Using Cold Vapour Atomic Absorption Spectrometry

Prediction and fusion algorithm for meat moisture content measurement based on loss-on-drying method

Meyve İşleme Endüstrisi Atık Posalarından Aspergillus parasiticus ile Biyopigment Üretiminin Araştırılması

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