Rapid Determination of Molybdenum (VI) in Water Using Phenylfluorone-Modified Test Strips Combined with Colorimetry and LAB Color Space Analysis.

Xingping Li, Daiwei Zhuang, Xiaoling Liu, Hongbing Luo, Ke Zhang, Bing Jiang, Wei Chen, Wancen Xie

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xingping LiSchool of Ecological Engineering, Henan Forestry Vocational College, Luoyang 471002, China.

Daiwei ZhuangDepartment of Municipal Engineering, School of Civil Engineering, Sichuan Agricultural University, Chengdu 611830, China.

Xiaoling LiuDepartment of Information Engineering, Sichuan Water Conservancy Vocational College, Chengdu 611231, China.

Hongbing LuoDepartment of Municipal Engineering, School of Civil Engineering, Sichuan Agricultural University, Chengdu 611830, China.ORCID 0000-0001-6522-6762

Ke ZhangDepartment of Municipal Engineering, School of Civil Engineering, Sichuan Agricultural University, Chengdu 611830, China.

Bing JiangBusiness and Tourism School, Sichuan Agricultural University, Chengdu 611830, China.

Wei ChenDepartment of Municipal Engineering, School of Civil Engineering, Sichuan Agricultural University, Chengdu 611830, China.

Wancen XieDepartment of Municipal Engineering, School of Civil Engineering, Sichuan Agricultural University, Chengdu 611830, China.

Funding

Chengdu Science and Technology Bureau 2019-YF05-00839-SNDepartment of Science and Technology of Sichuan Province 2022YFS0505National Natural Science Foundation of China 51278318, 51808363, 52370117Sichuan Academy of Eco-Environmental Sciences 2023HB07Sichuan Institute of Coal Field Geological Engineering Exploration and Designing KJ2021-2

6 · The paper itself

Abstract

Excessive molybdenum (VI) (Mo (VI)) in water threatens environmental safety and human health, yet rapid on-site methods for Mo (VI) determination remain limited. Here, we propose a rapid method for Mo (VI) determination using phenylfluorone (PF)-modified test strips with dual readouts: visual colorimetry and image-based analysis in the CIELAB (Lab*) color space, and demonstrate its applicability using urban park water samples. Based on visual colorimetry, a standard color card was established, providing a screening range of 0.08 to 0.8 mg L

Indexed as

molybdenum (VI)phenylfluoroneportable devicesquick detectiontest strips

Identifiers

PMID41682404

DOI10.3390/s26030885

PMCPMC12899040

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.