共查询到19条相似文献，搜索用时 250 毫秒
1.
近红外光谱检测技术在农业和食品分析中的应用 总被引：1，自引：0，他引：1
主要介绍近红外光谱检测技术在农业和食品分析中的应用。作为一种简单、快速、无损伤及无污染的检测手段,近红外光谱在鉴定原料的真伪、原料中有效成分的含量、有毒组分的识别和水果内部成分测定等方面具有独特的效果,因此在农业和食品等领域得到了广泛的应用。 相似文献
2.
近红外光谱分析技术及其在食品中的应用 总被引：6，自引：0，他引：6
近红外光谱(NIR)分析技术作为一种快速、无损的新型检测技术,在农业与食品等研究领域获得越来越广泛的应用。阐述了近红外光谱分析技术的发展、特点和原理,以及该技术在农产品、果蔬、肉制品、奶制品等方面的应用,并对以后进一步的研究进行了展望。 相似文献
3.
近红外光谱技术作为一种新型的绿色分析技术,正越来越广泛应用于食品领域。阐述了近红外光谱技术的基本原理、分析过程及特点,从牛奶、乳制品的检测和鉴别等方面综述了国内外近红外光谱技术的最新研究进展。对目前研究中存在的问题进行了分析,同时对进一步的研究进行了展望。 相似文献
4.
《种子科技》2020,(13)
玉米是世界上最重要的粮食作物之一,其种子质量的好坏直接影响粮食的产量,与食品生产安全息息相关,种子作为生产源头牵动着整个玉米产业链的发展。种子的质量还影响农作物的生存能力,是农业生产资料重要的组成部分。种子作为各种技术的关键载体,优质高产的种子对于提高食品安全和经济产量有着重要意义。随着农作物种子检测技术的不断进步,玉米的产量和质量得到有效提高。尤其是将近红外光谱分析技术应用在玉米种子检测中,使玉米种子检测质量与效果得到明显提高,为农户育种、种植及营销节省了成本,提高了经济效益。首先介绍了近红外光谱检测技术的应用原理,之后分析了近红外光谱分析技术的优缺点,最后探讨了近红外光谱分析技术在玉米种子检测中的应用。 相似文献
5.
《农产品加工．学刊》2016,(24)
食品产地溯源是保障食品安全、保护地区名优特色产品、增强消费者信心的有力措施之一。近红外光谱技术(Near-infrared spectroscopy,NIRS)作为一种绿色、快速、高效、准确的无损检测技术,在食品产地溯源中有着广阔的应用前景。通过介绍近红外光谱技术的基本原理,以及它们在食品产地溯源中的研究现状,旨在推动我国食品安全追溯制度的建立与完善,保障食品行业的市场稳定健康发展,保护消费者合法权益。 相似文献
6.
近红外光谱技术在粮油储藏及其品质分析中的应用 总被引：5，自引：0，他引：5
近红外光谱分析技术（NIRS）是具有快速、准确、低成本的现代检测技术。本文简介了近红外光谱技术的原理、基本概况，着重综述了近红外技术在我国粮油重要品种如小麦、水稻、玉米、油菜等的品质分析中的应用、储藏虫害的检测以及转基因产品的安全性等的最新动态，还简要地阐述了近红外光谱技术存在的不足和发展前景。 相似文献
7.
近红外光谱技术在棉纤维品质检测和产地溯源中的研究进展 总被引：1，自引：0，他引：1
棉花纤维品质的检测和产地溯源是下游纺织品质量和产量的重要组成部分,也是保护中国棉纺织品消费者的利益和应对贸易壁垒的有效手段。近红外光谱(near infrared spectroscopy,NIRS)技术因其操作简便,成本低,无污染等优势在各个领域得到广泛的应用,是用于棉纺织纤维检测的有效方法。为了快速分析棉纤维的品质和产地来源,介绍了近红外光谱技术分析的原理和过程,阐述了近红外光谱分析技术在棉花纤维品质检测和产地溯源的国内外研究现状,分析了近红外光谱技术应用于棉纤维品质检测和产地溯源的优势和需要解决的问题,展望了近红外光谱技术在棉花纤维品质检测和产地溯源中的发展趋势。 相似文献
8.
9.
近红外谷物分析仪在小麦品质分析中的应用性研究 总被引：7，自引：0，他引：7
20世纪60年代，Karl Norris使用漫反射技术对农产品水分、蛋白和脂肪进行研究，从而发现了近红外光谱用于常规分析的实用价值。与传统光谱技术不同，近红外定量分析只需要一系列已知待测成分含量的样品，运用现代统计学的算法，建立近红外光谱参数与样品待测成分之间的对应关系。这种对应关系一般称之为校准或校准曲线。用这一校准曲线对未知样品的近红外图谱进行预测，从而得到未知样品待测成分的预测值。近年来，近红外定量分析技术和相关仪器在农业、食品、医药等领域已经得到广泛的应用。在食品检测方面，近红外定量分析技术因其快速准确，已经列入世界谷物科技协会标准（ICC No．159和ICC No．202）和美国谷物化学协会标准（AACC No．39-00），成为世界公认的标准。但在粮食收储企业中的应用尚处于起步阶段。 相似文献
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11.
The potential of near-infrared reflectance spectroscopy (NIRS) to detectwithin-plant differences for seed protein content was investigated. Fourhundred and fifty-one single seeds were scanned by NIRS using a specialadapter. After non-destructive NIRS scanning, the seeds were analysed forprotein content by the Dumas combustion method and a calibrationequation was developed. A validation set of 117 additional seeds fromthree individual plants from the cultivars Bristol, Lirajet and Maplus wasanalysed for protein content both by NIRS and combustion. The coefficientof determination between NIRS and combustion values in the validation setwas 0.94, with a standard error of performance (SEP) of 0.77% and aratio of the SEP to the standard deviation (SD) of the validation set of0.28. The coefficient of variation (CV) for seed protein content inindividual plants, as determined by the combustion method, was 11.7%for Bristol, 8.9% for Lirajet, and 9.5% for Maplus. The comparison ofsuch variation with the standard error (SE) of NIRS analysis, defined as thecombination of the SE of the combustion method and the SEP of NIRScalibration equation, revealed that the maximum explainable variance withinindividual plants that can be detected using NIRS analysis of proteincontent in single seeds was 0.86 for Bristol, 0.83 for Lirajet, and 0.85 forMaplus. These results demonstrated that NIRS is a powerful tool fornon-destructive assessment of within-plant variation for seed protein contentin rapeseed. 相似文献
12.
The potential of near-infrared reflectance spectroscopy (NIRS) for the simultaneous analysis of seed weight, total oil content
and its fatty acid composition in intact single seeds of rapeseed was studied. A calibration set of 530 single seeds was analysed
by both NIRS and gas-liquid chromatography (GLC) and calibration equations for the major fatty acids were developed. External
validation with a set of 75 seeds demonstrated a close relationship between NIRS and GLC data for oleic (r = 0.92) and erucic
acid (r = 0.94), but not for linoleic (r = 0.75) and linolenic acid (r = 0.73). Calibration equations for seed weight and
oil content were developed from a calibration set of 125 seeds. A gravimetric determination was used as reference method for
oil content. External validation revealed a coefficient of correlation between NIRS and reference methods of 0.92 for both
traits. The performance of the calibration equations for oleic and erucic acid was further studied by analysing two segregating
F2 seed populations not represented in the calibration set. The results demonstrated that a reliable selection for both fatty
acids in segregating populations can be made by using NIRS. We concluded that a reliable estimation of seed weight, oil content,
oleic acid and erucic acid content in intact, single seeds of rapeseed is possible by using NIRS technique.
This revised version was published online in July 2006 with corrections to the Cover Date. 相似文献
13.
Estimating the fatty acid composition of the oil in intact-seed rapeseed (Brassica napus L.) by near-infrared reflectance spectroscopy 总被引：7，自引：0，他引：7
The objective of this work was to evaluate the potential of near-infrared reflectance spectroscopy (NIRS) as a rapid method
to estimate the fatty acid composition of the oil in intact-seed samples of rapeseed. A total of 549 samples (3 g intact seed)
from selected mutant and breeding lines were scanned by NIRS, and 220 of them were selected and scanned again by using two
different adapters, which reduced the sample size to 300 and 60 mg, respectively. Selected samples were analysed by gas liquid
chromatography and calibration equations for individual fatty acids were developed. Calibrations for oleic, linoleic, linolenic,
and erucic acid were highly accurate, with values of r2 in cross validation from 0.95 to 0.98 (samples of 3 g), from 0.93 to 0.97 (300 mg), and from 0.84 to 0.96 (60 mg). Calibrations
for palmitic and stearic acid were less accurate, with values of r2 in cross validation always lower than 0.8, probably because of the narrow range available for these fatty acids. The accuracy
of the calibration equations for eicosenoic acid was very low (r2 = 0.69 in 3 g samples), although improved equations were developed (r2 from 0.78 to 0.91) when the relationship between erucic and eicosenoic acid was taken into account. We conclude that NIRS
is a powerful technique to estimate the fatty acid composition of the oil in rapeseed, provided that samples covering a wide
range of fatty acid levels are available, with the advantage that such estimation is possible with few additional costs when
NIRS is used for the determination of other seed quality traits.
This revised version was published online in July 2006 with corrections to the Cover Date. 相似文献
14.
为实现向日葵品质的快速无损检测,选取50份具有代表性的油用向日葵材料,采用偏最小二乘法（PLS）构建籽仁脂肪、亚油酸、油酸、硬脂酸和棕榈酸含量的近红外光谱（NIRS）模型。结果表明,脂肪、亚油酸、油酸含量模型校正和验证相关系数均大于0.96,且预测值与化学值相对误差均在10%以下,能够达到样品成分含量的快速测定。硬脂酸和棕榈酸含量模型校正相关系数分别为0.92和0.82,验证相关系数分别为0.83和0.74,预测值与化学值相对误差在4.66%~17.99%之间,可用于样品成分含量的初步预测。本研究构建的NIRS模型,有助于油用向日葵种质资源品质鉴定和快速筛选。 相似文献
15.
四川生态区甘蓝型油菜自交种和自然种品质测试的比较研究 总被引：1，自引：0，他引：1
摘 要：本文对四川生态区861份甘蓝型油菜自交种和自然种粗脂肪和硫苷含量的NIRS法测试结果进行了相关和回归分析。结果表明以NIR法测试甘蓝型油菜自然种粗脂肪含量普遍较自交种高,自交种粗脂肪含量与自然种粗脂肪含量绝对值差异达1%显著水平,自交种与自然种硫苷含量差异不显著。说明在甘蓝型油菜育种中,对粗脂肪的选择应侧重考虑自然种含量,兼顾考虑自交种含量,对硫苷的选择则可同时考虑自然种和自交种含量。自交种和自然种粗脂肪和硫苷含量的NIR法测试结果间相关关系、线性回归方程均达1%显著水平,说明在已知自交种粗脂肪（ x1 ）、硫苷（ x2 ）含量测试结果的情况下,可分别通过回归方程 y1 = 16.844 + 0.614 x1,y2 = -0.620 + 1.017x2预测自然种粗脂肪（ y1）和硫苷（ y2）含量。 相似文献
16.
Analysis of total glucosinolate content and individual glucosinolates in Brassica spp. by near-infrared reflectance spectroscopy 总被引：6，自引：1，他引：5
This study was conducted to test the applicability of near-infrared reflectance spectroscopy (NIRS) for estimating the total glucosinolate (GSL) content in samples of intact seed from a wide range of Brassica species, and to develop calibration equations to estimate simultaneously the percentage of individual GSLs. A total of 290 samples from 15 different Brassica species were scanned by NIRS and analysed for glucosinolate content by high-pressure liquid chromatography (HPLC). A calibration equation for total GSL content was developed using 270 samples of 14 species in a range between 6 and 193μmol/g seed, resulting in an r2 of 0.99 in calibration and cross-validation, and 0.95 in independent validation with 20 samples of Brassica rapa, a species not represented in the calibration. Furthermore, calibration equations to estimate the relative amount (mol/mol) of progoitrin, sinigrin, and gluconapin were successfully developed (r2 > 0.85 in cross-validation) and validated with samples from species not included in the calibration. It was also possible to discriminate between entries with high and low values of glucoiberin, 4-hydroxyglucobrassicin and glucoerucin. 相似文献
17.
棉子油分近红外光谱测定技术研究 总被引：1，自引：1，他引：0
以近红外光谱分析技术无损、快速和高效等优点,建立棉籽油分含量的近红外分析模型,进行棉籽油分快速大批测定,提高分析水平和效率。218份陆地棉的脱绒光籽为定标样品,通过不同的光谱数学预处理和光谱反射方式,优化棉子含油量近红外光谱法所建立的回归方程。结果表明,采用(2,4,4,1)光谱数学预处理和散射校正(SNV)得到的回归方程效果最好,回归决定系数(RSQ=0.9773)和验证决定系数(1-VR=0.9646)最高,回归标准误差(SEC=0.6977)和交互验证标准误差(SECV=0.8714)最小。对30份验证样品的化学测定值和近红外光谱预测值相关系数高达0.9882,平均偏差0.65%,回归标方程具有很好的预测效果,可以在实践中应用。长江流域棉花杂交种棉子含油量平均值为28.05%,含油量在26.50%~30.05%区间的品种居多,具有很大的改良潜力。 相似文献
18.
云南烤烟填充值近红外光谱预测模型 总被引：1，自引：1，他引：0
为研究采用近红外光谱技术快速预测烤烟烟丝填充值的可行性,选取云南12个烤烟品种不同部位3个等级的140份烤烟初烤烟样品,采集样品近红外光谱和烟丝填充值,采用偏最小二乘法,利用100份样品近红外光谱和填充值建立近红外光谱填充值预测模型。用40份样品近红外光谱和填充值进行模型外部验证,对填充值测定值和预测值进行t检验,T＝0.4125,在显著性水平α＝0.05下,t(0.05,39)=1.6849,T 相似文献
19.
Stover quality traits are important in breeding programmes of maize cultivars. However, conventional procedures for evaluation of stover quality are expensive and thus limit the full exploitation of the available genetic variability. Our objective was to assess the potential of near‐infrared spectroscopy (NIRS) with a new sample presentation unit to determine feeding quality of maize stover. The plant material comprised maize inbreds and hybrids. The sample presentation unit was equipped with a near‐infrared diode‐array spectrometer. Coefficient of determination in cross‐validation ranged between 0.77 and 0.94 for contents of dry matter, nitrogen, neutral detergent fibre and in vitro fermentability expressed as gas volume after 24h incubation time, but it was lower for ash content. It was concluded that NIRS with the new sample presentation unit was less accurate than laboratory NIRS to predict the standard reference methods. However, the new sample presentation unit might be used as a fast and efficient technique to perform large screenings of maize stover accessions in breeding programmes. 相似文献