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Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The calibration regression equation was Y=13.664X+0.0389.

Taxon
sorghumSorghumt0
Outcome
regression equatione0
Value
Y=13.664X+0.0389e0

Verbatim

e0

“the regression equation was Y=13.664X+0.0389”

✓ located verbatim in the source · abstract, characters 537–581
t0

“sorghum grain”

✓ located verbatim in the source · title, characters 57–70

Title

Establishment of a new determination method of tannin in sorghum grain based on ternary complex reaction

Zhou Rong-lin 2013

Other claims from this paper (8)
Method / resourceauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

One calibration equation predicted moisture accurately across different shelled and unshelled peanut types.

Outcome
moisture content can be accurately predictede0
Comparator
different peanut typese0

Verbatim

e0

“Therefore, by using microwave moisture sensing, moisture content can be accurately predicted in different peanut types with a single calibration equation.”

✓ located verbatim in the source · abstract, characters 645–799

Title

Type-Independent Calibration Method for Microwave Moisture Sensing in Unshelled and Shelled Peanuts

Micah A Lewis; Samir Trabelsi; Stuart O Nelson; et al. 2009 Reno, Nevada, June 21 - June 24, 2009 2009. doi:10.13031/2013.27063

Other claims from this paper (2)
Method / resourceobservedreview summarybasis n/a

Claim · model-written summary

A reliable prediction equation or calibration model is the major constraint for NIRS.

Taxon
root cropst0
Outcome
major constrainte0
Comparator
a calibration modele0

Verbatim

e0

“The major constraint is, therefore, the need to build a reliable equation of prediction, also called a calibration model”

✓ located verbatim in the source · abstract, characters 495–615
t0

“root crops”

✓ located verbatim in the source · title, characters 53–63

Title

Near infrared spectroscopy for quality evaluation of root crops: Practical constraints, preliminary studies and future prospects

Vincent Lebot Agritrop (Cirad) 2012

Other claims from this paper (2)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The calibration regression equation for total flavonoids by spectrophotometry was A=0.01036C+0.00527.

Taxon
Elsholtzia RugulosaElsholtzia rugulosat0
Outcome
Regression equatione1
Value
A=0.01036C+0.00527e1

Verbatim

e1

“Regression equation is A=0.01036C+0.00527”

✓ located verbatim in the source · abstract, characters 165–206
t0

“Elsholtzia Rugulosa”

✓ located verbatim in the source · title, characters 77–96

Title

Spectrophotometric Determination of Total Flavonoids in Yi National Herbl of Elsholtzia Rugulosa Flowers

Wen Li Mei Chinese Journal of Spectroscopy Laboratory 2009

Other claims from this paper (5)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The reported emodin calibration equation was Y=112.89X-8.912.

Taxon
Polygonum perfoliatum L.Persicaria perfoliatat0
Outcome
linear regression equatione0
Value
Y=112.89X-8.912e0

Verbatim

e0

“the linear regression equation was Y=112.89X-8.912(r=0.999 9)”

✓ located verbatim in the source · abstract, characters 493–554
t0

“Polygonum perfoliatum L.”

✓ located verbatim in the source · title, characters 42–66

Title

Extraction and determination of emodin in Polygonum perfoliatum L.

Dengfeng Zou; Xie AiZe; Qiu Yu-ting; et al. Medicinal plant 2011

Other claims from this paper (4)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The vitamin C calibration equation was A=73.054 2C+50.689 8.

Taxon
Fructus Chaenomelist0
Outcome
liner equatione0
Value
A=73.054 2C+50.689 8e0

Verbatim

e0

“the liner equation was A=73.054 2C+50.689 8”

✓ located verbatim in the source · abstract, characters 408–451
t0

“Fructus Chaenomelis”

✓ located verbatim in the source · title, characters 30–49

Title

Determination of Vitamin C in Fructus Chaenomelis by High Performance Liquid Chromatography

Peng Yong-fang Journal of Kunming University 2009

Other claims from this paper (5)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The calibration equation was y=1.0776x-4.1145 with r=0.9991.

Taxon
Osmanthus fragransOsmanthus fragranse1
Outcome
linear equatione0
Value
r=0.9991e0
Qualifier
y=1.0776x-4.1145e0

Verbatim

e0

“The linear equation was y=1.0776x-4.1145,r=0.9991”

✓ located verbatim in the source · abstract, characters 528–577
e1

“inOsmanthus fragransLour.”

✓ located verbatim in the source · abstract, characters 31–56

Title

Determination of Polysaccharides of Osmanthus fragrans Lour. by Fluorescence Spectrometry

Lin Zhi Chinese Journal of Spectroscopy Laboratory 2013

Other claims from this paper (7)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Moisture content calculated from the calibration equation had a mean of 17.3%, equal to the oven-determined values.

Taxon
runner-type peanutst0
Outcome
Moisture contents calculated from the calibration equatione1
Value
17.3%e1
Comparator
oven determined moisture contentse1

Verbatim

t0

“Runner-Type Peanuts”

✓ located verbatim in the source · title, characters 57–76
e1

“Moisture contents calculated from the calibration equation had a 17.3% mean and an 8.5% SD equaling values for oven determined moisture contents”

✓ located verbatim in the source · abstract, characters 909–1053

Title

Improving the Accuracy of Electronic Moisture Meters for Runner-Type Peanuts

M. C. Lamb; C. L. Butts; P. D. Blankenship Peanut Science 2013. doi:10.3146/ps11-11.1

Other claims from this paper (2)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The best NIR equation had calibration R squared 0.90 and mean and standard error 7.93 ± 1.14.

Taxon
alfalfaMedicago sativat0
Outcome
calibration R 2e0
Value
0.90e0
Qualifier
7.93 ± 1.14e0

Verbatim

e0

“The optimum equation had a calibration R 2 of 0.90 and a mean and standard error of 7.93 ± 1.14”

✓ located verbatim in the source · abstract, characters 607–702
t0

“Alfalfa”

✓ located verbatim in the source · title, characters 31–38

Title

Estimation of Fall Dormancy in Alfalfa by Near Infrared Reflectance Spectroscopy

R.L. Kallenbach; C.A. Roberts; L.R. Teuber; et al. Crop Science 2001. doi:10.2135/cropsci2001.413774x

Other claims from this paper (3)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The calibration regression equation was ŷ = 0.1211 + 0.0087x.

Taxon
Syzygium myrtifolium Walp.Syzygium myrtifoliumt0
Outcome
linear regression equatione0
Value
0.1211 + 0.0087xe0

Verbatim

e0

“with a linear regression equation of ŷ = 0.1211 + 0.0087x.”

✓ located verbatim in the source · abstract, characters 556–614
t0

“Syzygium myrtifolium Walp.”

✓ located verbatim in the source · title, characters 69–95

Title

PENETAPAN KADAR SENYAWA FENOLIK EKSTRAK ETANOL 70% DAUN PUCUK MERAH (Syzygium myrtifolium Walp.) DENGAN METODE FOLIN-CIOCALTEU

Dewi Nofita; Delviona Friti Rahman Journal Pharma Saintika 2025. doi:10.51225/jps.v8i2.64

Other claims from this paper (4)

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