{"title":"Chemical Profile and Observing Honey Adulteration Using Fourier Transform Infrared (FTIR) Spectroscopy and Multivariate Calibration","authors":"S. Prabowo, Yudha Agus Prayitno, Yuliani","doi":"10.22146/jfps.653","DOIUrl":null,"url":null,"abstract":"Honey is a complex mixture that contains nutrients and bioactive composition and chemical compositionthat is needed by the human body. Honey is also rich in antioxidants because it is prone to falsification given its manyproperties. This study discusses the chemical and nutritional profiles and the observation of counterfeiting in honey usingthe infrared septicroscopy method. The honey used is obtained from providers of native honey from Kalimantan forestswith 3 kinds of honey brands, namely Mahuka A (MHA), Mahuka B (MHB) and Mahuka C (MHC). Tests of chemicaland nutritional profiles included Water content, ash content, protein content, fat content and calcium levels followed byhoney counterfeiting observation using the Fourier Transform Infrared (FTIR) method with a combination of Partial leastsquare (PLS) calibration model and Principle Component Regression (PCR). The results of all honey samples havevarying values in the water content between 26.75 - 31.00%. Ash content of 0.10 -0.16%. Protein content 0.24 - 0.88%fat content 0.08 -0.44% carbohydrate content. Observation of FTIR honey counterfeiting is used to replace the authenticity of Honey (MH). FTIR combined with Partial Least Square (PLS) was optimized in the subsequent testing ofa mixture of sucrose (MCS) with native honey (MH). Calibration models were taken in a combination of regions 1423 -1825 cm-1. A high coefficient of determination (R2) of 0.9960 with a calibration value (RMSEC) of the root error of thesquare root low of 0.0898% v / v was successfully understood in the MHA on the PLS model. high R2 values and lowRMSEC and RMSEP values on calibration and validation assessments with both accuracy and precision models used.","PeriodicalId":314392,"journal":{"name":"Journal of Food and Pharmaceutical Sciences","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food and Pharmaceutical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22146/jfps.653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Honey is a complex mixture that contains nutrients and bioactive composition and chemical compositionthat is needed by the human body. Honey is also rich in antioxidants because it is prone to falsification given its manyproperties. This study discusses the chemical and nutritional profiles and the observation of counterfeiting in honey usingthe infrared septicroscopy method. The honey used is obtained from providers of native honey from Kalimantan forestswith 3 kinds of honey brands, namely Mahuka A (MHA), Mahuka B (MHB) and Mahuka C (MHC). Tests of chemicaland nutritional profiles included Water content, ash content, protein content, fat content and calcium levels followed byhoney counterfeiting observation using the Fourier Transform Infrared (FTIR) method with a combination of Partial leastsquare (PLS) calibration model and Principle Component Regression (PCR). The results of all honey samples havevarying values in the water content between 26.75 - 31.00%. Ash content of 0.10 -0.16%. Protein content 0.24 - 0.88%fat content 0.08 -0.44% carbohydrate content. Observation of FTIR honey counterfeiting is used to replace the authenticity of Honey (MH). FTIR combined with Partial Least Square (PLS) was optimized in the subsequent testing ofa mixture of sucrose (MCS) with native honey (MH). Calibration models were taken in a combination of regions 1423 -1825 cm-1. A high coefficient of determination (R2) of 0.9960 with a calibration value (RMSEC) of the root error of thesquare root low of 0.0898% v / v was successfully understood in the MHA on the PLS model. high R2 values and lowRMSEC and RMSEP values on calibration and validation assessments with both accuracy and precision models used.
蜂蜜是一种复杂的混合物,含有人体所需的营养物质、生物活性成分和化学成分。蜂蜜也富含抗氧化剂,因为它有很多特性,所以很容易被伪造。本文对蜂蜜的化学成分和营养成分进行了探讨,并对蜂蜜的造假进行了红外显微观察。所使用的蜂蜜来自加里曼丹森林的本地蜂蜜供应商,有三种蜂蜜品牌,即Mahuka A (MHA), Mahuka B (MHB)和Mahuka C (MHC)。利用偏最小二乘校正模型和主成分回归(PCR)相结合的傅里叶变换红外(FTIR)方法,对蜂蜜的化学成分和营养成分进行检测,包括水分、灰分、蛋白质、脂肪和钙含量。所有蜂蜜样品的含水量值在26.75% ~ 31.00%之间。灰分含量0.10 -0.16%。蛋白质含量0.24 - 0.88%脂肪含量0.08 -0.44%碳水化合物含量。利用FTIR观察蜂蜜造假来代替蜂蜜(MH)的真伪。在随后的蔗糖(MCS)与天然蜂蜜(MH)混合物的测试中,对FTIR结合偏最小二乘(PLS)进行了优化。在1423 -1825 cm-1区域组合中进行校准模型。在PLS模型的MHA中,成功地理解了0.9960的高决定系数(R2)和0.0898% v / v的平方根误差的校准值(RMSEC)。使用准确度和精密度模型进行校准和验证评估时,R2值较高,rmsec和RMSEP值较低。